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Jourquin S, Lowie T, Debruyne F, Chantillon L, Pas ML, Clinquart J, Boone R, Bokma J, Pardon B. Development of a classification system for lung ultrasonographic findings in calves based on the association with cure and production outcomes. J Dairy Sci 2025:S0022-0302(25)00328-5. [PMID: 40368100 DOI: 10.3168/jds.2024-25386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2024] [Accepted: 04/17/2025] [Indexed: 05/16/2025]
Abstract
The primary objective of this study was to determine associations between ultrasound-based classification systems (using maximum consolidations depth, number of quadrants with consolidation, and consolidation location), clinical indicators, and performance outcomes (ultrasonographic cure, ADG, and cold carcass weight [CCW]) in veal calves following oral metaphylaxis. A retrospective cohort study was conducted on 1,090 white veal calves originating from 3 Belgian veal herds. Clinical scoring and quick thoracic ultrasound (qTUS) follow-up were done by 4 experienced operators at arrival (wk 0), at the start of the first metaphylactic treatment with doxycycline (treatment initiation, wk 1), at the end of this metaphylactic treatment (short-term evaluation, wk 3) and on a long-term evaluation point (wk 10-12). Cure was defined as complete reaeration of previously consolidated lung tissue. Pathogens were identified using culture and nanopore sequencing. One week after arrival, healthy lungs (no consolidation), mild pneumonia (consolidation <1 cm), moderate pneumonia (consolidation 1-2.5 cm), and severe pneumonia (consolidation ≥3 cm) were identified in 46.9%, 12.4%, 21.4%, and 19.4% of calves, respectively. Short-term cure was 59.3% for calves with mild pneumonia, 50.2% for calves with moderate pneumonia, and 32.7% for calves with severe pneumonia, resulting in a total short-term cure of 45.9%. Coronavirus, respiratory syncytial virus, influenza D virus, and Mycoplasmopsis bovis were circulating during treatment. At the long-term evaluation point (wk 10-12), final cure was 59.3%, 55.8%, and 40.3% for calves with mild, moderate, and severe pneumonia at treatment initiation, respectively. Multivariable regression models indicated that different interactions between qTUS categories and number of affected quadrants were associated with short- and long-term odds of cure. Generated models resulted in 3 classification methods, either based on maximum consolidation depth, number of affected quadrants, or an integrated system of both. Calves with clinical pneumonia (Wisconsin score ≥5 and lung consolidation ≥1 cm) had decreased short-term odds to be cured after metaphylaxis compared with calves with subclinical pneumonia (Wisconsin score <5 and lung consolidation ≥1 cm; odds ratio = 0.43; 95% CI: 0.27-0.67). For calves with severe pneumonia in wk 10-12, when compared with calves in a lower qTUS category, ADG and CCW were reduced by 104 g/day (SD = 13; 95% CI: 78-130) and 7.1kg (SD = 1.9; 95% CI: 3.4-10.9), respectively. Categorization based on maximum consolidation depth, the number of affected quadrants, or an integrated system of both has the potential to be included in an ultrasound scoring system. However, based on the practicality for recording, reporting, and follow-up, the authors recommend categorizing calves into mild, moderate, and severe pneumonia based on maximum consolidation depth measurement, referred to as qTUS score, as a practical classification system for ultrasonographic lung assessment in calves.
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Affiliation(s)
- Stan Jourquin
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium.
| | - Thomas Lowie
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Florian Debruyne
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Laurens Chantillon
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Mathilde L Pas
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Justine Clinquart
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
| | - Randy Boone
- Veterinary Practice Venhei, 2460 Kasterlee, Belgium
| | - Jade Bokma
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium; Veterinary Practice Venhei, 2460 Kasterlee, Belgium
| | - Bart Pardon
- Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, 9820 Merelbeke, Belgium
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Berry L, Rehnberg L, Groves P, Knight M, Stewart M, Dushianthan A. Lung Ultrasound in Critical Care: A Narrative Review. Diagnostics (Basel) 2025; 15:755. [PMID: 40150097 PMCID: PMC11941729 DOI: 10.3390/diagnostics15060755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2025] [Revised: 03/04/2025] [Accepted: 03/13/2025] [Indexed: 03/29/2025] Open
Abstract
Lung ultrasound (LUS) has become a crucial part of the investigative tools available in the management of critically ill patients, both within the intensive care unit setting and in prehospital medicine. The increase in its application, in part driven by the COVID-19 pandemic, along with the easy access and use of mobile and handheld devices, allows for immediate access to information, reducing the need for other radiological investigations. LUS allows for the rapid and accurate diagnosis and grading of respiratory pathology, optimisation of ventilation, assessment of weaning, and monitoring of the efficacy of surfactant therapies. This, however, must occur within the framework of accreditation to ensure patient safety and prevent misinterpretation and misdiagnosis. This narrative review aims to outline the current uses of LUS within the context of published protocols, associated pathologies, LUS scoring systems, and their applications, whilst exploring more novel uses.
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Affiliation(s)
- Lee Berry
- General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; (L.R.); (P.G.); (M.K.); (M.S.)
- School of Health Sciences, University of Southampton, Southampton SO16 6YD, UK
| | - Lucas Rehnberg
- General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; (L.R.); (P.G.); (M.K.); (M.S.)
| | - Paul Groves
- General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; (L.R.); (P.G.); (M.K.); (M.S.)
- Shackleton Department of Anaesthetics, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Martin Knight
- General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; (L.R.); (P.G.); (M.K.); (M.S.)
- Shackleton Department of Anaesthetics, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Michael Stewart
- General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; (L.R.); (P.G.); (M.K.); (M.S.)
- Shackleton Department of Anaesthetics, University Hospital Southampton, Southampton SO16 6YD, UK
| | - Ahilanandan Dushianthan
- General Intensive Care Unit, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK; (L.R.); (P.G.); (M.K.); (M.S.)
- Perioperative and Critical Care Theme, NIHR Biomedical Centre, University Hospital Southampton NHS Foundation Trust, Southampton SO16 6YD, UK
- Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK
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Baloescu C, Bailitz J, Cheema B, Agarwala R, Jankowski M, Eke O, Liu R, Nomura J, Stolz L, Gargani L, Alkan E, Wellman T, Parajuli N, Marra A, Thomas Y, Patel D, Schraft E, O’Brien J, Moore CL, Gottlieb M. Artificial Intelligence-Guided Lung Ultrasound by Nonexperts. JAMA Cardiol 2025; 10:245-253. [PMID: 39813064 PMCID: PMC11904735 DOI: 10.1001/jamacardio.2024.4991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2024] [Accepted: 10/30/2024] [Indexed: 01/16/2025]
Abstract
Importance Lung ultrasound (LUS) aids in the diagnosis of patients with dyspnea, including those with cardiogenic pulmonary edema, but requires technical proficiency for image acquisition. Previous research has demonstrated the effectiveness of artificial intelligence (AI) in guiding novice users to acquire high-quality cardiac ultrasound images, suggesting its potential for broader use in LUS. Objective To evaluate the ability of AI to guide acquisition of diagnostic-quality LUS images by trained health care professionals (THCPs). Design, Setting, and Participants In this multicenter diagnostic validation study conducted between July 2023 and December 2023, participants aged 21 years or older with shortness of breath recruited from 4 clinical sites underwent 2 ultrasound examinations: 1 examination by a THCP operator using Lung Guidance AI and the other by a trained LUS expert without AI. The THCPs (including medical assistants, respiratory therapists, and nurses) underwent standardized AI training for LUS acquisition before participation. Interventions Lung Guidance AI software uses deep learning algorithms guiding LUS image acquisition and B-line annotation. Using an 8-zone LUS protocol, the AI software automatically captures images of diagnostic quality. Main Outcomes and Measures The primary end point was the proportion of THCP-acquired examinations of diagnostic quality according to a panel of 5 masked expert LUS readers, who provided remote review and ground truth validation. Results The intention-to-treat analysis included 176 participants (81 female participants [46.0%]; mean [SD] age, 63 [14] years; mean [SD] body mass index, 31 [8]). Overall, 98.3% (95% CI, 95.1%-99.4%) of THCP-acquired studies were of diagnostic quality, with no statistically significant difference in quality compared to LUS expert-acquired studies (difference, 1.7%; 95% CI, -1.6% to 5.0%). Conclusions and Relevance In this multicenter validation study, THCPs with AI assistance achieved LUS images meeting diagnostic standards compared with LUS experts without AI. This technology could extend access to LUS to underserved areas lacking expert personnel. Trial Registration ClinicalTrials.gov Identifier: NCT05992324.
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Affiliation(s)
- Cristiana Baloescu
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - John Bailitz
- Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Baljash Cheema
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Ravi Agarwala
- LeBauer Pulmonary and Critical Care, Cone Health, Greensboro, North Carolina
- University of North Carolina at Chapel Hill
| | - Madeline Jankowski
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Onyinyechi Eke
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - Rachel Liu
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Jason Nomura
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania
- ChristianaCare Health System, Newark, Delaware
| | - Lori Stolz
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Luna Gargani
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy
| | - Eren Alkan
- Caption Health/GE HealthCare, Chicago, Illinois
| | | | | | | | | | - Daven Patel
- Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois
| | - Evelyn Schraft
- Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois
| | - James O’Brien
- Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois
| | - Christopher L. Moore
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
| | - Michael Gottlieb
- Department of Emergency Medicine, Rush University Medical Center, Chicago, Illinois
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Navarro-Romero F, Olalla-Sierra J, Martín-Escalante MD. Potential role of lung ultrasonography in outpatient follow-up of patients with COVID-19. A systematic review. Rev Clin Esp 2025; 225:101-110. [PMID: 39613099 DOI: 10.1016/j.rceng.2024.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 10/19/2024] [Indexed: 12/01/2024]
Abstract
INTRODUCTION AND AIM Currently, the usefulness of lung ultrasound in the follow-up of patients after hospital discharge for SARS-CoV-2 pneumonia is not well known. The main objective of this systematic review is to investigate the persistence of alterations in lung ultrasound of patients who have had COVID-19 pneumonia. METHODS A systematic review has been carried out following the PRISMA regulations in the PubMed, EMBASE, Web of Science and Google Scholar database from January 2020 to May 2023 using the combination of MeSH terms: "lung ultrasound", "ultrasonography", "lung alterations", "persistence", "follow-up", "consequences", "hospital discharge", "COVID", "COVID-19", "SARS-CoV-2". Studies were selected that described alterations in the lung ultrasound of patients after having suffered from COVID-19 pneumonia. The JBI Critical Appraisal Tools were used to assess the risk of bias of the studies. No meta-analysis techniques were performed, the results being compared narratively. RESULTS From two to six months after COVID-19 pneumonia, pulmonary ultrasound abnormalities appear frequently and are proportional to the intensity of the initial episode. The most frequent anomalies are irregularities in the pleural line, the presence of B lines and/or subpleural consolidations, predominantly in the basal regions of the thorax. These findings seem to correlate with those of the chest CT. CONCLUSIONS Lung ultrasound offers technical and economic advantages that should be considered for the study of patients after hospital discharge for COVID-19.
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Affiliation(s)
- F Navarro-Romero
- Servicio de Medicina Interna, Hospital Costa del Sol, 29603 Málaga, Spain; Facultad de Medicina, Universidad de Málaga, 29010 Málaga, Spain.
| | - J Olalla-Sierra
- Servicio de Medicina Interna, Hospital Costa del Sol, 29603 Málaga, Spain
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Hayward S, Cardinael C, Tait C, Reid M, McCarthy A. Exploring the adoption of diaphragm and lung ultrasound (DLUS) by physiotherapists, physical therapists, and respiratory therapists: an updated scoping review. Ultrasound J 2025; 17:9. [PMID: 39832026 PMCID: PMC11747032 DOI: 10.1186/s13089-025-00412-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2024] [Accepted: 11/19/2024] [Indexed: 01/22/2025] Open
Abstract
BACKGROUND The adoption of diaphragm and lung ultrasound (DLUS) by physiotherapists, physical therapists, and respiratory therapists ("therapists") to examine and assess the diaphragm and lungs continues to grow. The aim of this updated scoping review is to re-explore and re-collate the evidence around the adoption of DLUS by therapists. METHODS This scoping review followed the PRISMA-ScR guidelines. Data sources searched included AMED, EmCare, CINAHL, Embase, Medline, PubMed and Pedro. Grey literature sources were searched alongside communication with leading authors in the field. The Participants, Concept and Context (PCC) approach was employed to formulate the research question. A charting form was developed and piloted to extract: title, authors, year of publication, country of origin, professional group involved (population), lung or diaphragm ultrasound (concept), evaluation method, educational, clinical or research setting (context), subject/disease/patient group, sample size, study design and professional group performing DLUS. RESULTS 133 studies met all inclusion criteria, an increase of 107 new studies compared to the original scoping review searches 7-years ago. Studies were included from 17 new countries and included 17 new participant populations. Lung ultrasound saw the largest increase in study number with education and implementation emerging as a new area of investigation. Full list of included studies is provided in Supplementary File 1. CONCLUSION The number of DLUS studies involving therapists continues to show international growth with studies investigating an increasing range of participant populations. Published studies now include research on DLUS adoption, implementation, and utility amongst all three of the therapy professions who use DLUS. The potential of DLUS and its direct impact on patient outcomes still needs to be explored further. However, DLUS remains a novel and innovative imaging technique in the hands of physiotherapists, physical therapists, and respiratory therapists as its utility continues to grow in various research, clinical and educational settings.
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Affiliation(s)
- Simon Hayward
- Physiotherapy Department, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool, FY3 8PY, UK.
| | - Camella Cardinael
- Acute Medicine Physiotherapy, Lancashire Teaching Hospitals NHS Foundation Trust, Sharoe Green Lane, Fulwood, Preston, PR2 9HT, UK
| | - Chloe Tait
- Physiotherapy Department, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool, FY3 8PY, UK
| | - Michael Reid
- Library and Knowledge Services, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool, FY3 8PY, UK
| | - Andrew McCarthy
- Physiotherapy Department, Blackpool Teaching Hospitals NHS Foundation Trust, Whinney Heys Road, Blackpool, FY3 8PY, UK
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Shao S, Wu Z, Liu J, Liao Z, Yao Y, Zhang L, Wang Y, Zhao H. Evaluating the effectiveness of handheld ultrasound in primary blast lung injury: a comprehensive study. Sci Rep 2025; 15:2358. [PMID: 39824921 PMCID: PMC11742448 DOI: 10.1038/s41598-025-86928-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2024] [Accepted: 01/15/2025] [Indexed: 01/20/2025] Open
Abstract
The incidence of blast injuries has been rising globally, particularly affecting the lungs due to their vulnerability. Primary blast lung injury (PBLI) is associated with high morbidity and mortality rates, while early diagnostic methods are limited. With advancements in medical technology, and portable handheld ultrasound devices, the efficacy of ultrasound in detecting occult lung injuries early remains unclear. This study evaluates the effectiveness of immediate lung ultrasound in diagnosing PBLI. The study involved 25 healthy male Bama mini-pigs subjected to BST-I-type biological shock wave tubes. The pigs were randomly assigned to non-injured and injured groups with driving pressures of 4.0 MPa, 4.5 MPa, and 4.8 MPa. Four PBLI models were created: no injury, minor, moderate, serious and severe. Immediate lung ultrasound following the BLUE-PLUS protocol and arterial blood gas analysis were conducted pre-injury and 0.5 h, 3 h, 6 h, 12 h, and 24 h post-injury, respectively. The study analyzed lung ultrasound score differences and their correlations with lung function parameters, using ROC analysis to determine early diagnostic standards and mortality prediction efficacy. The study found that in cases of moderate and severe PBLI, lung ultrasound scores and AaDO2 significantly increased at 0.5 h post-injury, while PaO2 decreased. There was good consistency between left and right lung ultrasound results at all times. Lung ultrasound scores were significantly correlated with PaO2 and AaDO2 but not with PaCO2. The scores accurately predicted injury severity at various time points within 24 h post-injury, and the 0.5 h lung ultrasound score predicted 24 h mortality with 95.8% efficiency. PBLI exhibits hidden severity, necessitating improved early diagnostics. Immediate lung ultrasound provides effective differentiation for moderate and severe PBLI at multiple time points within 24 h post-injury, is easy to implement, and offers effective mortality risk prediction as early as 0.5 h post-injury. These findings underscore lung ultrasound's significant clinical application value in pre-hospital early treatment settings for PBLI.
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Affiliation(s)
- Shifeng Shao
- Department of ICU, Daping Hospital, Army Medical University, Chongqing, 400042, China
- Department of Military Traffic Injury Prevention and Control, Daping Hospital, Army Medical University, No. 10 Changjiang Branch Road, Yuzhong District, Chongqing, 400042, China
| | - Zhengbin Wu
- Department of ICU, Daping Hospital, Army Medical University, Chongqing, 400042, China
| | - Jun Liu
- The Fifth Outpatient Department, Western Theater General Hospital, Chengdu, 610000, China
| | - Zhikang Liao
- Department of Military Traffic Injury Prevention and Control, Daping Hospital, Army Medical University, No. 10 Changjiang Branch Road, Yuzhong District, Chongqing, 400042, China
| | - Yuan Yao
- The 903 Hospital of the Joint Service Support Force of the People's Liberation Army of China, Hangzhou, 310000, China
| | - Liang Zhang
- Department of Military Traffic Injury Prevention and Control, Daping Hospital, Army Medical University, No. 10 Changjiang Branch Road, Yuzhong District, Chongqing, 400042, China
| | - Yaoli Wang
- The 903 Hospital of the Joint Service Support Force of the People's Liberation Army of China, Hangzhou, 310000, China
| | - Hui Zhao
- Department of Military Traffic Injury Prevention and Control, Daping Hospital, Army Medical University, No. 10 Changjiang Branch Road, Yuzhong District, Chongqing, 400042, China.
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Gajewski M. Lung ultrasound for the diagnosis of subpleural consolidations - a review of the veterinary and human literature. Acta Vet Scand 2024; 66:60. [PMID: 39614316 PMCID: PMC11607883 DOI: 10.1186/s13028-024-00784-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Accepted: 11/19/2024] [Indexed: 12/01/2024] Open
Abstract
Lung ultrasound (LUS) is an imaging modality of growing importance in human medicine. LUS has been extensively applied to human patients. Guidelines have been created for internal medicine, describing ultrasonographic features of various lung pathologic processes. Such guidelines do not exist for veterinary medicine, and studies on the utility of LUS in companion animals are limited. Therefore, this review compares conclusions from veterinary studies to recommendations in human medicine for the detection of subpleural consolidations beyond the application of LUS as a point-of-care modality in emergency and critical care.
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Affiliation(s)
- Michał Gajewski
- Vetcardia Veterinary Clinic, 11 Kijowska Street, Warsaw, 03-743, Poland.
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Tan Tabakoğlu N, Hancı Yılmaztürk P, Yılmam İ, Süt N, Hatipoğlu ON. Ultrasonographic evaluation of post-COVID long-term lung changes and relation to prolonged COVID symptoms: a prospective cross-sectional study. THE EUROPEAN RESEARCH JOURNAL 2024; 10:490-500. [DOI: 4.10.18621/eurj.1513218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/18/2025]
Abstract
Objectives: This study aims to evaluate lung findings using lung ultrasonography (USG) in patients with PCR-positive COVID-19 pneumonia treated in the ward or intensive care unit and to explore the relationship with prolonged COVID-19 symptoms.
Methods: This prospective cross-sectional study was conducted at the University Medical Faculty Hospital outpatient clinic from December 2022 to April 2023. It involved 54 adult patients with PCR-positive COVID-19 pneumonia, treated and discharged from the ward or intensive care unit (ICU). Clinical and demographic data, lung ultrasonography results, and prolonged COVID-19 symptoms were recorded.
Results: Among the 54 patients, the ICU group had a mean age of 52.84 ± 12.30 years, while the ward group had a mean age of 58.80 ± 11.36 years (P=0.085). Shortness of breath was the most common prolonged symptom in both groups. The ICU group had significantly more right lung B lines than the ward group (P=0.002). Myalgia was more frequent in the ward group (P=0.024). No significant differences were observed in other variables (P>0.05). Prolonged COVID-19 symptoms were interrelated (P<0.05), and the total number of B lines was significantly associated with dyspnea (P=0.023).
Conclusions: Our study demonstrated that lung USG is a valuable tool in the assessment of lung injury after COVID-19 and in the management of long-term COVID-19 symptoms. B lines detected by lung USG are significantly associated with the long-term COVID symptom of shortness of breath, and the number of B lines may be an important biomarker in the management of shortness of breath.
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Affiliation(s)
- Nilgün Tan Tabakoğlu
- Department of Internal Medicine, Trakya University, Faculty of Medicine, Edirne, Türkiye
| | | | - İlker Yılmam
- Department of Chest Diseases, Trakya University, Faculty of Medicine, Edirne, Türkiye
| | - Necdet Süt
- Department of Biostatistics, Trakya University, Faculty of Medicine, Edirne, Türkiye
| | - Osman Nuri Hatipoğlu
- Department of Chest Diseases, Trakya University, Faculty of Medicine, Edirne, Türkiye
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Tan MZ, Brunswicker A, Bamber H, Cranfield A, Boultoukas E, Latif S. Improving lung point-of-care ultrasound (POCUS) training and accreditation - a multidisciplinary, multi-centre and multi-pronged approach to development and delivery using the action learning process. BMC MEDICAL EDUCATION 2024; 24:713. [PMID: 38956540 PMCID: PMC11221010 DOI: 10.1186/s12909-024-05653-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Accepted: 06/11/2024] [Indexed: 07/04/2024]
Abstract
BACKGROUND Point-of-Care Ultrasound (POCUS) consists of a range of increasingly important imaging modalities across a variety of specialties. Despite a variety of accreditation pathways available in the UK, lung POCUS training remains difficult to deliver and accreditation rates remain suboptimal. We describe a multidisciplinary, multi-centre, and multi-pronged approach to lung POCUS education within a region. METHODS A survey was conducted in a region. From these results, bottlenecks were identified for improvement. We utilised key stages in an established accreditation pathway, and the Action Learning process. Analysing participant feedback, consensus amongst the team, regional educational needs, and leveraging the expertise within the faculty, we implemented several solutions which were multidisciplinary, multi-centre, and multi-pronged. We also set up a database across several accreditation pathways to facilitate supervision and assessment of rotational trainees. RESULTS Utilising the Action Learning process, we implemented several improvements at elements of the lung ultrasound accreditation pathways. An initial regional survey identified key barriers to accreditation: lack of courses (52%), lack of mentors (93%), and difficulty arranging directly supervised scans (73%). A multidisciplinary team of trainers was assembled. Regular courses were organised and altered based on feedback and anecdotal educational needs within the region. Courses were set up to also facilitate continuing professional development and exchange of knowledge and ideas amongst trainers. The barrier of supervision was removed through the organisation of regular supervision sessions, facilitating up to fifty scans per half day per trainer. We collected feedback from courses and optimised them. Remote mentoring platforms were utilised to encourage asynchronous supervision. A database of trainers was collated to facilitate triggered assessments. These approaches promoted a conducive environment and a commitment to learning. Repeat survey results support this. CONCLUSION Lung ultrasound accreditation remains a complex educational training pathway. Utilising an education framework, recruiting a multidisciplinary team, ensuring a multi-pronged approach, and fostering a commitment to learning can improve accreditation success.
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Affiliation(s)
- Mark Zy Tan
- ST7 anaesthesia and intensive care medicine trainee, Health Education England Northwest, Manchester, UK.
- NIHR academic clinical fellow, Humanitarian and Conflict Response Institute, University of Manchester, Manchester, UK.
| | | | - Harry Bamber
- ST3 anaesthesia trainee, Health Education England Northwest, Manchester, UK
| | - Alistair Cranfield
- Consultant in anaesthesia and intensive care medicine, Salford Royal NHS Foundation Trust, Salford, UK
| | - Evangelos Boultoukas
- Consultant in intensive care medicine, North Manchester General Hospital, Manchester, UK
| | - Sam Latif
- Consultant in anaesthesia and intensive care medicine, Stockport NHS Foundation Trust, Stockport, UK
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Zimna K, Sobiecka M, Wakuliński J, Wyrostkiewicz D, Jankowska E, Szturmowicz M, Tomkowski WZ. Lung Ultrasonography in the Evaluation of Late Sequelae of COVID-19 Pneumonia-A Comparison with Chest Computed Tomography: A Prospective Study. Viruses 2024; 16:905. [PMID: 38932196 PMCID: PMC11209275 DOI: 10.3390/v16060905] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/22/2024] [Accepted: 05/29/2024] [Indexed: 06/28/2024] Open
Abstract
The onset of the COVID-19 pandemic allowed physicians to gain experience in lung ultrasound (LUS) during the acute phase of the disease. However, limited data are available on LUS findings during the recovery phase. The aim of this study was to evaluate the utility of LUS to assess lung involvement in patients with post-COVID-19 syndrome. This study prospectively enrolled 72 patients who underwent paired LUS and chest CT scans (112 pairs including follow-up). The most frequent CT findings were ground glass opacities (83.3%), subpleural lines (72.2%), traction bronchiectasis (37.5%), and consolidations (31.9%). LUS revealed irregular pleural lines as a common abnormality initially (56.9%), along with subpleural consolidation >2.5 mm ≤10 mm (26.5%) and B-lines (26.5%). A strong correlation was found between LUS score, calculated by artificial intelligence percentage involvement in ground glass opacities described in CT (r = 0.702, p < 0.05). LUS score was significantly higher in the group with fibrotic changes compared to the non-fibrotic group with a mean value of 19.4 ± 5.7 to 11 ± 6.6, respectively (p < 0.0001). LUS might be considered valuable for examining patients with persistent symptoms after recovering from COVID-19 pneumonia. Abnormalities identified through LUS align with CT scan findings; thus, LUS might potentially reduce the need for frequent chest CT examinations.
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Affiliation(s)
- Katarzyna Zimna
- I Department of Lung Diseases, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
| | - Małgorzata Sobiecka
- I Department of Lung Diseases, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
| | - Jacek Wakuliński
- Department of Radiology, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
| | - Dorota Wyrostkiewicz
- I Department of Lung Diseases, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
| | - Ewa Jankowska
- I Department of Lung Diseases, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
| | - Monika Szturmowicz
- I Department of Lung Diseases, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
| | - Witold Z. Tomkowski
- I Department of Lung Diseases, National Tuberculosis and Lung Diseases Research Institute, 01-138 Warsaw, Poland
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11
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Dayan RR, Blau M, Taylor J, Hasidim A, Galante O, Almog Y, Gat T, Shavialiova D, Miller JD, Khazanov G, Abu Ghalion F, Sagy I, Ben Shitrit I, Fuchs L. Lung ultrasound is associated with distinct clinical phenotypes in COVID-19 ARDS: A retrospective observational study. PLoS One 2024; 19:e0304508. [PMID: 38829891 PMCID: PMC11146726 DOI: 10.1371/journal.pone.0304508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Accepted: 05/14/2024] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND ARDS is a heterogeneous syndrome with distinct clinical phenotypes. Here we investigate whether the presence or absence of large pulmonary ultrasonographic consolidations can categorize COVID-19 ARDS patients requiring mechanical ventilation into distinct clinical phenotypes. METHODS This is a retrospective study performed in a tertiary-level intensive care unit in Israel between April and September 2020. Data collected included lung ultrasound (LUS) findings, respiratory parameters, and treatment interventions. The primary outcome was a composite of three ARDS interventions: prone positioning, high PEEP, or a high dose of inhaled nitric oxide. RESULTS A total of 128 LUS scans were conducted among 23 patients. The mean age was 65 and about two-thirds were males. 81 scans identified large consolidation and were classified as "C-type", and 47 scans showed multiple B-lines with no or small consolidation and were classified as "B-type". The presence of a "C-type" study had 2.5 times increased chance of receiving the composite primary outcome of advanced ARDS interventions despite similar SOFA scores, Pao2/FiO2 ratio, and markers of disease severity (OR = 2.49, %95CI 1.40-4.44). CONCLUSION The presence of a "C-type" profile with LUS consolidation potentially represents a distinct COVID-19 ARDS subphenotype that is more likely to require aggressive ARDS interventions. Further studies are required to validate this phenotype in a larger cohort and determine causality, diagnostic, and treatment responses.
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Affiliation(s)
- Roy Rafael Dayan
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Maayan Blau
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Jonathan Taylor
- Intensive Care Unit, Soroka University Medical Center, Beersheba, Israel
| | - Ariel Hasidim
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Ori Galante
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Yaniv Almog
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
| | - Tomer Gat
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Darya Shavialiova
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Jacob David Miller
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Georgi Khazanov
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Fahmi Abu Ghalion
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
| | - Iftach Sagy
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
- Clinical Research Center, Soroka University Medical Center, Beersheba, Israel
| | - Itamar Ben Shitrit
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
- Clinical Research Center, Soroka University Medical Center, Beersheba, Israel
| | - Lior Fuchs
- Faculty of Health Sciences, Ben-Gurion University of the Negev, Beersheba, Israel
- Division of Pulmonary, Critical Care, and Sleep Medicine, Mount Sinai Hospital, Icahn School of Medicine at Mount Sinai, New York, New York, United States of America
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12
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Herrera PM, Blair PW, Siddharthan T, Fong T, Pollett S, Clark DV. Implementation of an International Severe Infection Point-of-Care Ultrasound Research Network. Mil Med 2024; 189:e1246-e1252. [PMID: 37837196 DOI: 10.1093/milmed/usad393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2023] [Revised: 07/26/2023] [Accepted: 09/21/2023] [Indexed: 10/15/2023] Open
Abstract
INTRODUCTION Point-of-care ultrasound (POCUS) is a rapid, readily available, and cost-effective diagnostic and prognostic modality in a range of clinical settings. However, data to support its clinical application are limited. This project's main goal was to assess the effectiveness of standardizing lung ultrasound (LUS) training for sonographers to determine if universal LUS adoption is justified. MATERIALS AND METHODS We describe the effectiveness of an implementation of a LUS research training program across eight international study sites in Asia, Africa, and North America as part of prospective Coronavirus Disease of 2019 (COVID-19) and sepsis study cohorts (Rapid Assessment of Infection with SONography research network). Within our network, point-of-care LUS was used to longitudinally evaluate radiographic markers of lung injury. POCUS operators were personnel from a variety of backgrounds ranging from research coordinators with no medical background to experienced clinicians. RESULTS Following a standardized protocol, 49 study sonographers were trained and LUS images from 486 study participants were collected. After training was completed, we compared before and after image qualities for interpretation. The proportion of acceptable images improved at each site between the first 25 scans and the second 25 scans, resulting in 80% or greater acceptance at each study site. CONCLUSIONS POCUS training and implementation proved feasible in diverse research settings among a range of providers. Standardization across ongoing cohort protocols affords opportunities for increased statistical power and generalizability of results. These results potentially support care delivery by enabling military medics to provide care at the point of injury, as well as aiding frontline clinicians in both austere and highly resourced critical care settings.
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Affiliation(s)
- Phabiola M Herrera
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Miami, Miami, FL 33136, USA
| | - Paul W Blair
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
- Division of Infectious Diseases, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Trishul Siddharthan
- Division of Pulmonary, Critical Care and Sleep Medicine, University of Miami, Miami, FL 33136, USA
- Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Tiffany Fong
- Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
| | - Simon Pollett
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
- Infectious Disease Clinical Research Program, Department of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Danielle V Clark
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD 20817, USA
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Howell L, Ingram N, Lapham R, Morrell A, McLaughlan JR. Deep learning for real-time multi-class segmentation of artefacts in lung ultrasound. ULTRASONICS 2024; 140:107251. [PMID: 38520819 DOI: 10.1016/j.ultras.2024.107251] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 12/20/2023] [Accepted: 01/17/2024] [Indexed: 03/25/2024]
Abstract
Lung ultrasound (LUS) has emerged as a safe and cost-effective modality for assessing lung health, particularly during the COVID-19 pandemic. However, interpreting LUS images remains challenging due to its reliance on artefacts, leading to operator variability and limiting its practical uptake. To address this, we propose a deep learning pipeline for multi-class segmentation of objects (ribs, pleural line) and artefacts (A-lines, B-lines, B-line confluence) in ultrasound images of a lung training phantom. Lightweight models achieved a mean Dice Similarity Coefficient (DSC) of 0.74, requiring fewer than 500 training images. Applying this method in real-time, at up to 33.4 frames per second in inference, allows enhanced visualisation of these features in LUS images. This could be useful in providing LUS training and helping to address the skill gap. Moreover, the segmentation masks obtained from this model enable the development of explainable measures of disease severity, which have the potential to assist in the triage and management of patients. We suggest one such semi-quantitative measure called the B-line Artefact Score, which is related to the percentage of an intercostal space occupied by B-lines and in turn may be associated with the severity of a number of lung conditions. Moreover, we show how transfer learning could be used to train models for small datasets of clinical LUS images, identifying pathologies such as simple pleural effusions and lung consolidation with DSC values of 0.48 and 0.32 respectively. Finally, we demonstrate how such DL models could be translated into clinical practice, implementing the phantom model alongside a portable point-of-care ultrasound system, facilitating bedside assessment and improving the accessibility of LUS.
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Affiliation(s)
- Lewis Howell
- School of Computing, University of Leeds, Leeds, LS2 9JT, UK; School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK
| | - Nicola Ingram
- Leeds Institute of Medical Research, University of Leeds, St James' University Hospital, Leeds, LS9 7TF, UK
| | - Roger Lapham
- Radiology Department, Leeds Teaching Hospital Trust, Leeds General Infirmary, Leeds, LS1 3EX, UK
| | - Adam Morrell
- Radiology Department, Leeds Teaching Hospital Trust, Leeds General Infirmary, Leeds, LS1 3EX, UK
| | - James R McLaughlan
- School of Electronic and Electrical Engineering, University of Leeds, Leeds, LS2 9JT, UK; Leeds Institute of Medical Research, University of Leeds, St James' University Hospital, Leeds, LS9 7TF, UK.
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14
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Chua MT, Boon Y, Yeoh CK, Li Z, Goh CJM, Kuan WS. Point-of-care ultrasound use in COVID-19: a narrative review. ANNALS OF TRANSLATIONAL MEDICINE 2024; 12:13. [PMID: 38304913 PMCID: PMC10777239 DOI: 10.21037/atm-23-1403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 06/25/2023] [Indexed: 02/03/2024]
Abstract
Background and Objective The coronavirus disease 2019 (COVID-19) pandemic that began in early 2020 resulted in significant mortality from respiratory tract infections. Existing imaging modalities such as chest X-ray (CXR) lacks sensitivity in its diagnosis while computed tomography (CT) scan carries risks of radiation and contamination. Point-of-care ultrasound (POCUS) has the advantage of bedside testing with higher diagnostic accuracy. We aim to describe the various applications of POCUS for patients with suspected severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in the emergency department (ED) and intensive care unit (ICU). Methods We performed literature search on the use of POCUS in the diagnosis and management of COVID-19 in MEDLINE, Embase and Scopus databases using the following search terms: "ultrasonography", "ultrasound", "COVID-19", "SARS-CoV-2", "SARS-CoV-2 variants", "emergency services", "emergency department" and "intensive care units". Search was performed independently by two reviewers with any discrepancy adjudicated by a third member. Key Content and Findings Lung POCUS in patients with COVID-19 shows different ultrasonographic features from pulmonary oedema, bacterial pneumonia, and other viral pneumonia, thus useful in differentiating between these conditions. It is more sensitive than CXR, and more accessible and widely available than CT scan. POCUS can be used to diagnose COVID-19 pneumonia, screen for COVID-19-related pulmonary and extrapulmonary complications, and guide management of ICU patients, such as timing of ventilator weaning based on lung POCUS findings. Conclusions POCUS is a useful and rapid point-of-care modality that can be used to aid in diagnosis, management, and risk stratification of COVID-19 patients in different healthcare settings.
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Affiliation(s)
- Mui Teng Chua
- Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yuru Boon
- Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Chew Kiat Yeoh
- Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Zisheng Li
- Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Carmen Jia Man Goh
- Emergency Department, Ng Teng Fong General Hospital, Singapore, Singapore
| | - Win Sen Kuan
- Emergency Medicine Department, National University Hospital, National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
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15
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Jin Y, Liu Z, Hu C, Dong Z, Rong R, Liu H, Liang Z, Liu J, Chen L, Huang M, Cui H, Shen Y. Study on the flow mechanism and frequency characteristics of rales in lower respiratory tract. Biomech Model Mechanobiol 2024; 23:227-239. [PMID: 37831284 DOI: 10.1007/s10237-023-01769-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/21/2023] [Indexed: 10/14/2023]
Abstract
The frequency characteristics of lung sounds have great significance for noninvasive diagnosis of respiratory diseases. The rales in the lower respiratory tract region that can provide rich information about symptoms of respiratory diseases are not clear. In this paper, a three-dimensional idealized bifurcated lower respiratory tract geometric model, which contains 3rd to 13th generation (G3-G13) bronchi is constructed, where Re ∼ 10 1 - 10 3 , and then the large eddy simulation and volume of fluid are used to study the fluid flow characteristics. Ffowcs Williams and Hawkings model are subsequently used to study the frequency characteristics of rale of different generations of bronchi. The results showed that bronchial blockage and sputum movement will enhance the turbulence intensity and vortex shedding intensity of flow. The dominant frequency and highest value of sound pressure level (SPL) of rhonchi/moist crackles decrease with the increase of bronchial generation. The change rates of dominant frequency of rhonchi / moist crackles in adjacent generations were 5.0 ± 0.1 ~ 9.1 ± 0.2% and 3.1 ± 0.1 ~ 11.9 ± 0.3%, respectively, which is concentrated in 290 ~ 420 Hz and 200 ~ 300 Hz, respectively. The change rates of SPL of rhonchi/moist crackles were 8.8 ± 0.1 ~ 15.7 ± 0.1% and 7.1 ± 0.1 ~ 19.5 ± 0.2%, respectively, which is concentrated in 28 ~ 50 dB and 16 ~ 32 dB, respectively. In the same generation of bronchus (e.g., G8, G9) with the same degree of initial blockage, the dominant frequency and SPL of moist crackles can be 3.7 ± 0.2% and 4.5 ± 0.3% slightly higher than that of rhonchi, respectively. This research is conducive to the establishment of a rapid and accurate noninvasive diagnosis system for respiratory diseases.
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Affiliation(s)
- Yongjun Jin
- Department of Power Engineering, North China Electric Power University, Baoding, 071003, China
| | - Zhijian Liu
- Department of Power Engineering, North China Electric Power University, Baoding, 071003, China.
| | - Chenxing Hu
- School of Mechanical and Vehicle Engineering, Beijing Institute of Technology, Beijing, 100081, China
| | - Zhijian Dong
- Department of Power Engineering, North China Electric Power University, Baoding, 071003, China
| | - Rui Rong
- Department of Power Engineering, North China Electric Power University, Baoding, 071003, China
| | - Haiyang Liu
- Department of Power Engineering, North China Electric Power University, Baoding, 071003, China
| | - Zhenyu Liang
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Jingwei Liu
- State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Li Chen
- School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Minghua Huang
- School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China
| | - Haihang Cui
- School of Building Services Science and Engineering, Xi'an University of Architecture and Technology, Xi'an, 710055, China.
| | - Yan Shen
- Henan Institute of Occupational Disease Prevention and Control, The Third People's Hospital of Henan Province, Zhengzhou, 450000, China
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16
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Peng X, Luo T, Yao L, Kessner R, Wu W, Bonavina L, Lachkar S. Ultrasonography in the intensive care unit: a bibliometrics analysis. J Thorac Dis 2024; 16:623-631. [PMID: 38410606 PMCID: PMC10894376 DOI: 10.21037/jtd-23-1190] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 12/30/2023] [Indexed: 02/28/2024]
Abstract
Background Ultrasonography is widely used in critical care practice. The status of related studies remains unclear. The purpose of this study is to analyze current literature investigating the use of ultrasound in critical care units by using bibliometric analysis. Methods The Science Citation Index Expanded (SCI-E) database was used for data retrieval. The search formula for literature retrieval was "ultrasound" OR "ultrasonography" AND "intensive care unit" OR "critical care unit" OR "intensive care" OR "critical care". The bibliometric software package of R software was used to analyze the results. Information of related literatures were analyzed. Results Finally, 3,715 articles were included. The number of published articles and the number of references increased annually. The research fields included medical imaging, critical care medicine, cardiology, etc. The United States has published more documents in this field than other countries and has shown the highest rate of cooperation with other countries. Among the top 10 research institutions with the largest number of publications, 5 are from France and 3 are from the United States. There are many authors from China in the top 10 published studies. Among the top 10 journals with the largest number of published articles, 5 journals are top journals in the field of critical care medicine. Among the top 10 keywords, there are 5 of ultrasound specialty and 2 of critical care medicine. Conclusions Researches on the use of ultrasound in critical care units are mainly concentrated in several developed countries in Europe and the United States. Chinese research institutions should perform more studies in this field and increase cooperation with institutions from other countries.
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Affiliation(s)
- Xijuan Peng
- Department of Critical Medicine, Tangdu Hospital, Second Affiliated to the Air Force Military Medical University, Xi’an, China
| | - Tao Luo
- Department of Neurosurgery, Tangdu Hospital, Second Affiliated to the Air Force Military Medical University, Xi’an, China
| | - Linong Yao
- Department of Critical Medicine, Tangdu Hospital, Second Affiliated to the Air Force Military Medical University, Xi’an, China
| | - Rivka Kessner
- Department of Diagnostic Imaging, Tel Aviv Sourasky Medical Center and Tel Aviv University, Tel Aviv, Israel
| | - Wei Wu
- Department of Critical Medicine, Tangdu Hospital, Second Affiliated to the Air Force Military Medical University, Xi’an, China
| | - Luigi Bonavina
- Division of General and Foregut Surgery, Department of Biomedical Sciences for Health, University of Milan, IRCCS Policlinico San Donato, San Donato Milanese, Milano, Italy
| | - Samy Lachkar
- Department of Pneumology, CHU Rouen, Rouen, France
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17
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Chiumello D, Coppola S, Catozzi G, Danzo F, Santus P, Radovanovic D. Lung Imaging and Artificial Intelligence in ARDS. J Clin Med 2024; 13:305. [PMID: 38256439 PMCID: PMC10816549 DOI: 10.3390/jcm13020305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 12/26/2023] [Accepted: 12/30/2023] [Indexed: 01/24/2024] Open
Abstract
Artificial intelligence (AI) can make intelligent decisions in a manner akin to that of the human mind. AI has the potential to improve clinical workflow, diagnosis, and prognosis, especially in radiology. Acute respiratory distress syndrome (ARDS) is a very diverse illness that is characterized by interstitial opacities, mostly in the dependent areas, decreased lung aeration with alveolar collapse, and inflammatory lung edema resulting in elevated lung weight. As a result, lung imaging is a crucial tool for evaluating the mechanical and morphological traits of ARDS patients. Compared to traditional chest radiography, sensitivity and specificity of lung computed tomography (CT) and ultrasound are higher. The state of the art in the application of AI is summarized in this narrative review which focuses on CT and ultrasound techniques in patients with ARDS. A total of eighteen items were retrieved. The primary goals of using AI for lung imaging were to evaluate the risk of developing ARDS, the measurement of alveolar recruitment, potential alternative diagnoses, and outcome. While the physician must still be present to guarantee a high standard of examination, AI could help the clinical team provide the best care possible.
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Affiliation(s)
- Davide Chiumello
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy
- Coordinated Research Center on Respiratory Failure, University of Milan, 20122 Milan, Italy
| | - Silvia Coppola
- Department of Anesthesia and Intensive Care, ASST Santi Paolo e Carlo, San Paolo University Hospital Milan, 20142 Milan, Italy
| | - Giulia Catozzi
- Department of Health Sciences, University of Milan, 20122 Milan, Italy
| | - Fiammetta Danzo
- Division of Respiratory Diseases, Luigi Sacco University Hospital, ASST Fatebenefratelli-Sacco, 20157 Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy
| | - Pierachille Santus
- Division of Respiratory Diseases, Luigi Sacco University Hospital, ASST Fatebenefratelli-Sacco, 20157 Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy
| | - Dejan Radovanovic
- Division of Respiratory Diseases, Luigi Sacco University Hospital, ASST Fatebenefratelli-Sacco, 20157 Milan, Italy
- Department of Biomedical and Clinical Sciences, Università degli Studi di Milano, 20157 Milan, Italy
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Liao M, Du J, Chen L, Huang J, Yang R, Bao W, Zeng K, Wang W, Aphan BC, Wu Z, Ma L, Lu Q. Sono-activated materials for enhancing focused ultrasound ablation: Design and application in biomedicine. Acta Biomater 2024; 173:36-50. [PMID: 37939816 DOI: 10.1016/j.actbio.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 11/10/2023]
Abstract
The ablation effect of focused ultrasound (FUS) has played an increasingly important role in the biomedical field over the past decades, and its non-invasive features have great advantages, especially for clinical diseases where surgical treatment is not available or appropriate. Recently, rapid advances in the adjustable morphology, enzyme-mimetic activity, and biostability of sono-activated materials have significantly promoted the medical application of FUS ablation. However, a systematic review of sono-activated materials based on FUS ablation is not yet available. This progress review focuses on the recent design, fundamental principles, and applications of sono-activated materials in the FUS ablation biomedical field. First, the different ablation mechanisms and the key factors affecting ablation are carefully determined. Then, the design of sono-activated materials with high FUS ablation efficiencies is comprehensively discussed. Subsequently, the representative biological applications are summarized in detail. Finally, the primary challenges and future perspectives are also outlined. We believe this timely review will provide key information and insights for further exploration of focused ultrasound ablation and new inspiration for designing future sono-activated materials. STATEMENT OF SIGNIFICANCE: The ablation effect of focused ultrasound (FUS) has played an increasingly important role in the biomedical field over the past decades. However, there are also some challenges of FUS ablation, such as skin burns, tumour recurrence after thermal ablation, and difficulty in controlling cavitation ablation. The rapid advance in adjustable morphology, enzyme-mimetic activity, and biostability of sono-activated materials has significantly promoted the medical application of FUS ablation. However, the systematic review of sono-activated materials based on FUS ablation is not yet available. This progress review focuses on the recent design, fundamental principles, and applications in the FUS ablation biomedical field of sono-activated materials. We believe this timely review will provide key information and insights for further exploration of FUS ablation.
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Affiliation(s)
- Min Liao
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jinpeng Du
- Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, 450052, China
| | - Lin Chen
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China
| | - Jiayan Huang
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Rui Yang
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wuyongga Bao
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Keyu Zeng
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wenhui Wang
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Benjamín Castañeda Aphan
- Department of Engineering, Medical Imaging Laboratory, Pontificia Universidad Católica del Perú, Lima, Peru
| | - Zhe Wu
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, 610054, China.
| | - Lang Ma
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Qiang Lu
- Department of Ultrasound, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, 610041, China.
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19
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Camporesi A, Vetrugno L, Buonsenso D. COVID-19 and Children: Reflections after Three Years. CHILDREN (BASEL, SWITZERLAND) 2023; 11:10. [PMID: 38275431 PMCID: PMC10814962 DOI: 10.3390/children11010010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 12/15/2023] [Indexed: 01/27/2024]
Abstract
Three years after the beginning of the COVID-19 pandemic, enough experience has been gained to derive reflections on the impact of SARS-CoV-2 in children [...].
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Affiliation(s)
- Anna Camporesi
- Pediatric Anesthesia and Intensive Care, Vittore Buzzi Children’s Hospital, 20154 Milano, Italy
| | - Luigi Vetrugno
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, 66100 Chieti, Italy;
| | - Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy;
- Centro di Salute Globale, Università Cattolica del Sacro Cuore, 20123 Roma, Italy
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20
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Heyne TF, Negishi K, Choi DS, Al Saud AA, Marinacci LX, Smithedajkul PY, Devaraj LR, Little BP, Mendoza DP, Flores EJ, Petranovic M, Toal SP, Shokoohi H, Liteplo AS, Geisler BP. Handheld Lung Ultrasound to Detect COVID-19 Pneumonia in Inpatients: A Prospective Cohort Study. POCUS JOURNAL 2023; 8:175-183. [PMID: 38099168 PMCID: PMC10721309 DOI: 10.24908/pocus.v8i2.16484] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/17/2023]
Abstract
Background: Chest imaging, including chest X-ray (CXR) and computed tomography (CT), can be a helpful adjunct to nucleic acid test (NAT) in the diagnosis and management of Coronavirus Disease 2019 (COVID-19). Lung point of care ultrasound (POCUS), particularly with handheld devices, is an imaging alternative that is rapid, highly portable, and more accessible in low-resource settings. A standardized POCUS scanning protocol has been proposed to assess the severity of COVID-19 pneumonia, but it has not been sufficiently validated to assess diagnostic accuracy for COVID-19 pneumonia. Purpose: To assess the diagnostic performance of a standardized lung POCUS protocol using a handheld POCUS device to detect patients with either a positive NAT or a COVID-19-typical pattern on CT scan. Methods: Adult inpatients with confirmed or suspected COVID-19 and a recent CT were recruited from April to July 2020. Twelve lung zones were scanned with a handheld POCUS machine. Images were reviewed independently by blinded experts and scored according to the proposed protocol. Patients were divided into low, intermediate, and high suspicion based on their POCUS score. Results: Of 79 subjects, 26.6% had a positive NAT and 31.6% had a typical CT pattern. The receiver operator curve for POCUS had an area under the curve (AUC) of 0.787 for positive NAT and 0.820 for a typical CT. Using a two-point cutoff system, POCUS had a sensitivity of 0.90 and 1.00 compared to NAT and typical CT pattern, respectively, at the lower cutoff; it had a specificity of 0.90 and 0.89 compared to NAT and typical CT pattern at the higher cutoff, respectively. Conclusions: The proposed lung POCUS protocol with a handheld device showed reasonable diagnostic performance to detect inpatients with a positive NAT or typical CT pattern for COVID-19. Particularly in low-resource settings, POCUS with handheld devices may serve as a helpful adjunct for persons under investigation for COVID-19 pneumonia.
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Affiliation(s)
- Thomas F Heyne
- Department of Medicine, Massachusetts General HospitalBoston, MAUSA
- Department of Pediatrics, Massachusetts General HospitalBoston, MAUSA
| | - Kay Negishi
- Department of Medicine, Massachusetts General HospitalBoston, MAUSA
| | - Daniel S Choi
- Department of Emergency Medicine, Massachusetts General HospitalBoston, MAUSA
| | - Ahad A Al Saud
- Department of Emergency Medicine, Massachusetts General HospitalBoston, MAUSA
- Department of Emergency Medicine, King Saud University College of MedicineRiyadhSaudi Arabia
| | - Lucas X Marinacci
- Richard A. and Susan F. Smith Center for Outcomes Research, Beth Israel Deaconess Medical CenterBoston, MAUSA
| | | | - Lily R Devaraj
- Department of Medicine, Massachusetts General HospitalBoston, MAUSA
- Department of Pediatrics, Massachusetts General HospitalBoston, MAUSA
| | - Brent P Little
- Department of Radiology, Massachusetts General HospitalBoston, MAUSA
| | - Dexter P Mendoza
- Department of Radiology, Massachusetts General HospitalBoston, MAUSA
| | - Efren J Flores
- Department of Radiology, Massachusetts General HospitalBoston, MAUSA
| | - Milena Petranovic
- Department of Radiology, Massachusetts General HospitalBoston, MAUSA
| | - Steven P Toal
- Department of Medicine, Massachusetts General HospitalBoston, MAUSA
| | - Hamid Shokoohi
- Department of Emergency Medicine, Massachusetts General HospitalBoston, MAUSA
| | - Andrew S Liteplo
- Department of Emergency Medicine, Massachusetts General HospitalBoston, MAUSA
| | - Benjamin P Geisler
- Department of Medicine, Massachusetts General HospitalBoston, MAUSA
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig Maximilian UniversityMunichGermany
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21
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Zhang B, Cong H, Shen Y, Sun M. Visual Perception and Convolutional Neural Network-Based Robotic Autonomous Lung Ultrasound Scanning Localization System. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 70:961-974. [PMID: 37015119 DOI: 10.1109/tuffc.2023.3263514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Under the situation of severe COVID-19 epidemic, lung ultrasound (LUS) has been proved to be an effective and convenient method to diagnose and evaluate the extent of respiratory disease. However, the traditional clinical ultrasound (US) scanning requires doctors not only to be in close contact with patients but also to have rich experience. In order to alleviate the shortage of medical resources and reduce the work stress and risk of infection for doctors, we propose a visual perception and convolutional neural network (CNN)-based robotic autonomous LUS scanning localization system to realize scanned target recognition, probe pose solution and movement, and the acquisition of US images. The LUS scanned targets are identified through the target segmentation and localization algorithm based on the improved CNN, which is using the depth camera to collect the image information; furthermore, the method based on multiscale compensation normal vector is used to solve the attitude of the probe; finally, a position control strategy based on force feedback is designed to optimize the position and attitude of the probe, which can not only obtain high-quality US images but also ensure the safety of patients and the system. The results of human LUS scanning experiment verify the accuracy and feasibility of the system. The positioning accuracy of the scanned targets is 15.63 ± 0.18 mm, and the distance accuracy and rotation angle accuracy of the probe position calculation are 6.38 ± 0.25 mm and 8.60° ±2.29° , respectively. More importantly, the obtained high-quality US images can clearly capture the main pathological features of the lung. The system is expected to be applied in clinical practice.
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22
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Lucassen RT, Jafari MH, Duggan NM, Jowkar N, Mehrtash A, Fischetti C, Bernier D, Prentice K, Duhaime EP, Jin M, Abolmaesumi P, Heslinga FG, Veta M, Duran-Mendicuti MA, Frisken S, Shyn PB, Golby AJ, Boyer E, Wells WM, Goldsmith AJ, Kapur T. Deep Learning for Detection and Localization of B-Lines in Lung Ultrasound. IEEE J Biomed Health Inform 2023; 27:4352-4361. [PMID: 37276107 PMCID: PMC10540221 DOI: 10.1109/jbhi.2023.3282596] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Lung ultrasound (LUS) is an important imaging modality used by emergency physicians to assess pulmonary congestion at the patient bedside. B-line artifacts in LUS videos are key findings associated with pulmonary congestion. Not only can the interpretation of LUS be challenging for novice operators, but visual quantification of B-lines remains subject to observer variability. In this work, we investigate the strengths and weaknesses of multiple deep learning approaches for automated B-line detection and localization in LUS videos. We curate and publish, BEDLUS, a new ultrasound dataset comprising 1,419 videos from 113 patients with a total of 15,755 expert-annotated B-lines. Based on this dataset, we present a benchmark of established deep learning methods applied to the task of B-line detection. To pave the way for interpretable quantification of B-lines, we propose a novel "single-point" approach to B-line localization using only the point of origin. Our results show that (a) the area under the receiver operating characteristic curve ranges from 0.864 to 0.955 for the benchmarked detection methods, (b) within this range, the best performance is achieved by models that leverage multiple successive frames as input, and (c) the proposed single-point approach for B-line localization reaches an F 1-score of 0.65, performing on par with the inter-observer agreement. The dataset and developed methods can facilitate further biomedical research on automated interpretation of lung ultrasound with the potential to expand the clinical utility.
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23
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Witte M, Ott M, Schilling T, Müller M, Schmid S, Krohn A. Implementing an interprofessional point-of-care ultrasound protocol for dyspneic patients in an emergency department as a blended learning concept-Feasibility of Employing Thoracic Ultrasound in Shortness of Breath. Front Med (Lausanne) 2023; 10:1193243. [PMID: 37675133 PMCID: PMC10478716 DOI: 10.3389/fmed.2023.1193243] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 08/07/2023] [Indexed: 09/08/2023] Open
Abstract
Objective Dyspnea is a common symptom in the Emergency Department, with a wide variety of differential diagnoses. Previous research has demonstrated the diagnostic accuracy of Point-of-Care Ultrasound (POCUS) in this field of interest. Our goal was to better establish sonography in our emergency department with a practicable and time effective method. Therefore, we implemented a sonography protocol in an interprofessional emergency team using blended learning as a modern didactic approach and evaluated the learning and teaching success. We named the study FETUS, which stands for "Feasibility of Employing Thoracic Ultrasound in Shortness of Breath." Methods A demonstration of the POCUS protocol was given, followed by individual supervision during clinical routine. A written manual, a pocket card, and further materials for personal training supplemented the training. A post-training questionnaire measured several parameters regarding the training, e.g., subjective skill-acquisition or media use. Results 32 medical and nursing staff participated in this study, 14 of whom completed the questionnaire. All training modalities offered were well received. A pre-post comparison of subjective sonographic competence shows a significant increase in both medical and nursing staff.The other items surveyed also indicate the success of the intervention undertaken. Conclusion The use of different media as a blended learning approach can support the implementation of new measures in the ongoing working routine within an interprofessional team.
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Affiliation(s)
- Matthies Witte
- Department of Interdisciplinary Acute, Emergency and Intensive Care Medicine (DIANI), Klinikum Stuttgart, Stuttgart, Germany
| | - Matthias Ott
- Department of Interdisciplinary Acute, Emergency and Intensive Care Medicine (DIANI), Klinikum Stuttgart, Stuttgart, Germany
| | - Tobias Schilling
- Department of Interdisciplinary Acute, Emergency and Intensive Care Medicine (DIANI), Klinikum Stuttgart, Stuttgart, Germany
| | - Martina Müller
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Stephan Schmid
- Department of Internal Medicine I, Gastroenterology, Hepatology, Endocrinology, Rheumatology, and Infectious Diseases, University Hospital Regensburg, Regensburg, Germany
| | - Alexander Krohn
- Department of Interdisciplinary Acute, Emergency and Intensive Care Medicine (DIANI), Klinikum Stuttgart, Stuttgart, Germany
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24
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Kim JJ, Li JJ, Nguyen Q, Neilson E. The Effectiveness of Student-Led Musculoskeletal and Vascular Ultrasound Workshops at a Single Institution: A Retrospective Survey Analysis. Cureus 2023; 15:e41902. [PMID: 37583741 PMCID: PMC10423848 DOI: 10.7759/cureus.41902] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/14/2023] [Indexed: 08/17/2023] Open
Abstract
Introduction Point-of-care ultrasound (POCUS) is a rapidly evolving field of diagnostic medicine as its low cost, portability, and versatility have made handheld ultrasound (US) probes an invaluable tool for many modern physicians. Despite US's benefits as a bedside evaluative tool, many medical schools have not integrated POCUS into their pre-clerkship medical education due to a lack of equipment and faculty. The first objective of our study was to determine whether student tutors (STs) would be effective resources to teach musculoskeletal (MSK) and vascular US to preclinical medical students. The second objective of our study was to determine whether students who previously attended ST-run MSK US workshops perform better in vascular US than those who did not. Methods Six POCUS workshops were led by STs after approval from experienced US faculty. These included US workshops on gastrointestinal structures, forearm structures, joint structures, basic echocardiography, and US-guided IV access. We collected data from two of our six workshops. We developed surveys to gauge the confidence and ability of students to perform US after an MSK workshop and US-guided IV access workshop led by STs. We also measured students' US abilities and collected student feedback after our US-guided IV access workshop. We evaluated students' US competency in US-guided IV access via their ability to correctly position the US probe, angle the needle of insertion, move the probe with the needle, and access the vein based on the accuracy of the movements. We divided student results into two groups: students who previously attended the MSK workshop before attending the US-guided IV access workshop and students who did not attend the MSK workshop before attending the US-guided IV access workshop. We used averages, frequencies, and two-tailed t-tests to analyze the survey responses and US-guided IV access skill assessments. Results Fifty percent of first- and second-year surveyed students "agreed," and 32.4% "strongly agreed" that they felt confident using US after an ST-run MSK workshop. About 29.4% of surveyed students "agreed" and 41.2% "strongly agreed" that they felt comfortable explaining basic US concepts, such as proper probe positioning and echogenicity. The group of students who attended the MSK workshop prior to the peripheral IV workshop scored similarly to the students who did not attend the MSK workshop (14.33±1.03 versus 14.20±0.84 points). Both groups of students had an average of over 94% accuracy in technique, positioning, angling, moving the US probe, and achieving US-guided venous access after being taught by STs. Qualitative surveying noted positive student feedback, such as "Teacher was great at guiding us through the procedure." Survey responses also included suggestions on adding and diversifying equipment, such as "[It would be useful to have a] different type of needle to see the difference on ultrasound." Conclusion Based on the high percentages of accuracy and confidence, we found that STs were effective resources to teach MSK and vascular POCUS and that students who attended previous MSK ST-run US workshops had stronger vascular US ability over time compared to those who did not. Our data support the use of STs as US educational resources, especially in institutions without an existing pre-clerkship US curriculum and limited US resources.
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Affiliation(s)
- Jane J Kim
- Education, California University of Science and Medicine, Colton, USA
| | - Jeffrey J Li
- Education, California University of Science and Medicine, Colton, USA
| | - Quang Nguyen
- Education, California University of Science and Medicine, Colton, USA
| | - Eric Neilson
- Family Medicine, California University of Science and Medicine, Colton, USA
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25
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Dearing E, Rempfer E, Frasure SE, Akselrod H, Dobbs JE, Poon AN, Salazar JE, Prajapati D, Boniface KS. Point-of-Care Ultrasound of Post-acute COVID-19 Syndrome: A Prospective Cohort Study. Cureus 2023; 15:e42569. [PMID: 37637589 PMCID: PMC10460260 DOI: 10.7759/cureus.42569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2023] [Indexed: 08/29/2023] Open
Abstract
Introduction Acute COVID-19 patients can suffer from chronic symptoms known as post-acute sequelae of SARS-CoV-2 infection (PASC). Point-of-care ultrasound (POCUS) is established in acute COVID, but its utility in PASC is unclear. We sought to determine the incidence of cardiac and pulmonary abnormalities with POCUS in patients with PASC in a COVID-19 recovery clinic. Methods This prospective cohort study included adults (>18 years old) presenting with cardiopulmonary symptoms to the COVID-19 recovery clinic. A lung ultrasound and standard bedside echocardiogram were performed by ultrasound-trained physicians. Images were interpreted in real time by the performing sonographer and independently by a blinded ultrasound faculty member. Discrepancies in interpretation were addressed by consensus review. A modified Soldati score was calculated by the sum of the scores in each of the 12 lung zones, with each zone score ranging from 0 to 3 (maximum score of 36). The score was then compared to clinical outcomes and outpatient testing. Results Between April and July 2021, 41 patients received POCUS examinations, with 24 of those included in the study. In all, 15 out of 24 (62.5%) had a normal lung ultrasound. Of the nine subjects with lung abnormalities, the median modified Soldati score was 2. Three patients had trivial pericardial effusions, and all had normal left and right ventricular size and function. Conclusion The majority (62.5%) of patients presenting to the PASC clinic had a normal pulmonary ultrasound, and the vast majority (87.5%) had normal cardiac ultrasounds. These findings suggest that cardiopulmonary symptoms in PASC may be from etiologies not well evaluated by POCUS.
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Affiliation(s)
- Elizabeth Dearing
- Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Elizabeth Rempfer
- Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Sarah E Frasure
- Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Hana Akselrod
- Department of Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - John E Dobbs
- Department of Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Adrienne N Poon
- Department of Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Juan E Salazar
- Department of Environmental and Occupational Health, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Dhruvil Prajapati
- Department of Internal Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
| | - Keith S Boniface
- Department of Emergency Medicine, George Washington University School of Medicine and Health Sciences, Washington, USA
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26
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Gil-Rodríguez J, Martos-Ruiz M, Benavente-Fernández A, Aranda-Laserna P, Montero-Alonso MÁ, Peregrina-Rivas JA, Fernández-Reyes D, Martínez de Victoria-Carazo J, Guirao-Arrabal E, Hernández-Quero J. Lung ultrasound score severity cut-off points in COVID-19 pneumonia. A systematic review and validating cohort. Med Clin (Barc) 2023; 160:531-539. [PMID: 36990898 PMCID: PMC9998289 DOI: 10.1016/j.medcli.2023.01.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 03/12/2023]
Abstract
OBJECTIVES Our purpose was to establish different cut-off points based on the lung ultrasound score (LUS) to classify COVID-19 pneumonia severity. METHODS Initially, we conducted a systematic review among previously proposed LUS cut-off points. Then, these results were validated by a single-centre prospective cohort study of adult patients with confirmed SARS-CoV-2 infection. Studied variables were poor outcome (ventilation support, intensive care unit admission or 28-days mortality) and 28-days mortality. RESULTS From 510 articles, 11 articles were included. Among the cut-off points proposed in the articles included, only the LUS>15 cut-off point could be validated for its original endpoint, demonstrating also the strongest relation with poor outcome (odds ratio [OR]=3.636, confidence interval [CI] 1.411-9.374). Regarding our cohort, 127 patients were admitted. In these patients, LUS was statistically associated with poor outcome (OR=1.303, CI 1.137-1.493), and with 28-days mortality (OR=1.024, CI 1.006-1.042). LUS>15 showed the best diagnostic performance when choosing a single cut-off point in our cohort (area under the curve 0.650). LUS≤7 showed high sensitivity to rule out poor outcome (0.89, CI 0.695-0.955), while LUS>20 revealed high specificity to predict poor outcome (0.86, CI 0.776-0.917). CONCLUSIONS LUS is a good predictor of poor outcome and 28-days mortality in COVID-19. LUS≤7 cut-off point is associated with mild pneumonia, LUS 8-20 with moderate pneumonia and ≥20 with severe pneumonia. If a single cut-off point were used, LUS>15 would be the point which better discriminates mild from severe disease.
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Affiliation(s)
- Jaime Gil-Rodríguez
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | - Michel Martos-Ruiz
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | | | - Pablo Aranda-Laserna
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | - Miguel Ángel Montero-Alonso
- Department of Statistics and Operational Research, University of Granada, Avenida de la Investigación n° 11, 18071 Granada, Spain
| | | | - Daniel Fernández-Reyes
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | | | - Emilio Guirao-Arrabal
- Infectious Diseases Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain.
| | - José Hernández-Quero
- Infectious Diseases Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
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27
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Gil-Rodríguez J, Martos-Ruiz M, Benavente-Fernández A, Aranda-Laserna P, Montero-Alonso MÁ, Peregrina-Rivas JA, Fernández-Reyes D, Martínez de Victoria-Carazo J, Guirao-Arrabal E, Hernández-Quero J. Lung ultrasound score severity cut-off points in COVID-19 pneumonia. A systematic review and validating cohort. MEDICINA CLINICA (ENGLISH ED.) 2023; 160:531-539. [PMID: 37337552 PMCID: PMC10273011 DOI: 10.1016/j.medcle.2023.01.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/17/2022] [Accepted: 01/06/2023] [Indexed: 06/21/2023]
Abstract
Objectives Our purpose was to establish different cut-off points based on the lung ultrasound score (LUS) to classify COVID-19 pneumonia severity. Methods Initially, we conducted a systematic review among previously proposed LUS cut-off points. Then, these results were validated by a single-centre prospective cohort study of adult patients with confirmed SARS-CoV-2 infection. Studied variables were poor outcome (ventilation support, intensive care unit admission or 28-days mortality) and 28-days mortality. Results From 510 articles, 11 articles were included. Among the cut-off points proposed in the articles included, only the LUS > 15 cut-off point could be validated for its original endpoint, demonstrating also the strongest relation with poor outcome (odds ratio [OR] = 3.636, confidence interval [CI] 1.411-9.374). Regarding our cohort, 127 patients were admitted. In these patients, LUS was statistically associated with poor outcome (OR = 1.303, CI 1.137-1.493), and with 28-days mortality (OR = 1.024, CI 1.006-1.042). LUS > 15 showed the best diagnostic performance when choosing a single cut-off point in our cohort (area under the curve 0.650). LUS ≤ 7 showed high sensitivity to rule out poor outcome (0.89, CI 0.695-0.955), while LUS > 20 revealed high specificity to predict poor outcome (0.86, CI 0.776-0.917). Conclusions LUS is a good predictor of poor outcome and 28-days mortality in COVID-19. LUS ≤ 7 cut-off point is associated with mild pneumonia, LUS 8-20 with moderate pneumonia and ≥20 with severe pneumonia. If a single cut-off point were used, LUS > 15 would be the point which better discriminates mild from severe disease.
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Affiliation(s)
- Jaime Gil-Rodríguez
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | - Michel Martos-Ruiz
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | | | - Pablo Aranda-Laserna
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | - Miguel Ángel Montero-Alonso
- Department of Statistics and Operational Research, University of Granada, Avenida de la Investigación n° 11, 18071 Granada, Spain
| | | | - Daniel Fernández-Reyes
- Internal Medicine Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | | | - Emilio Guirao-Arrabal
- Infectious Diseases Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
| | - José Hernández-Quero
- Infectious Diseases Unit, San Cecilio University Hospital, Avenida del Conocimiento s/n, 18016 Granada, Spain
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Granata V, Fusco R, Villanacci A, Grassi F, Grassi R, Di Stefano F, Petrone A, Fusco N, Ianniello S. Qualitative and semi-quantitative ultrasound assessment in delta and Omicron Covid-19 patients: data from high volume reference center. Infect Agent Cancer 2023; 18:34. [PMID: 37245026 DOI: 10.1186/s13027-023-00515-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Accepted: 05/24/2023] [Indexed: 05/29/2023] Open
Abstract
OBJECTIVE to evaluate the efficacy of US, both qualitatively and semi-quantitatively, in the selection of treatment for the Covid-19 patient, using patient triage as the gold standard. METHODS Patients admitted to the Covid-19 clinic to be treated with monoclonal antibodies (mAb) or retroviral treatment and undergoing lung ultrasound (US) were selected from the radiological data set between December 2021 and May 2022 according to the following inclusion criteria: patients with proven Omicron variant and Delta Covid-19 infection; patients with known Covid-19 vaccination with at least two doses. Lung US (LUS) was performed by experienced radiologists. The presence, location, and distribution of abnormalities, such as B-lines, thickening or ruptures of the pleural line, consolidations, and air bronchograms, were evaluated. The anomalous findings in each scan were classified according to the LUS scoring system. Nonparametric statistical tests were performed. RESULTS The LUS score median value in the patients with Omicron variant was 1.5 (1-20) while the LUS score median value in the patients with Delta variant was 7 (3-24). A difference statistically significant was observed for LUS score values among the patients with Delta variant between the two US examinations (p value = 0.045 at Kruskal Wallis test). There was a difference in median LUS score values between hospitalized and non-hospitalized patients for both the Omicron and Delta groups (p value = 0.02 on the Kruskal Wallis test). For Delta patients groups the sensitivity, specificity, positive and negative predictive values, considering a value of 14 for LUS score for the hospitalization, were of 85.29%, 44.44%, 85.29% and 76.74% respectively. CONCLUSIONS LUS is an interesting diagnostic tool in the context of Covid-19, it could allow to identify the typical pattern of diffuse interstitial pulmonary syndrome and could guide the correct management of patients.
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Affiliation(s)
- Vincenza Granata
- Division of Radiology, "Istituto Nazionale Tumori IRCCS Fondazione Pascale - IRCCS di Napoli", 80131, Naples, Italy
| | | | - Alberta Villanacci
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Francesca Grassi
- Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy
| | - Roberta Grassi
- Division of Radiology, "Università degli Studi della Campania Luigi Vanvitelli", Naples, Italy
- Italian Society of Medical and Interventional Radiology (SIRM), SIRM Foundation, Via della Signora 2, 20122, Milan, Italy
| | - Federica Di Stefano
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Ada Petrone
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Nicoletta Fusco
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
| | - Stefania Ianniello
- Department of Radiology and Diagnostic Imaging, National Institute for Infectious Diseases IRCCS Lazzaro Spallanzani, 00149, Rome, Italy
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Rocca E, Zanza C, Longhitano Y, Piccolella F, Romenskaya T, Racca F, Savioli G, Saviano A, Piccioni A, Mongodi S. Lung Ultrasound in Critical Care and Emergency Medicine: Clinical Review. Adv Respir Med 2023; 91:203-223. [PMID: 37218800 DOI: 10.3390/arm91030017] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Revised: 05/08/2023] [Accepted: 05/11/2023] [Indexed: 05/24/2023]
Abstract
Lung ultrasound has become a part of the daily examination of physicians working in intensive, sub-intensive, and general medical wards. The easy access to hand-held ultrasound machines in wards where they were not available in the past facilitated the widespread use of ultrasound, both for clinical examination and as a guide to procedures; among point-of-care ultrasound techniques, the lung ultrasound saw the greatest spread in the last decade. The COVID-19 pandemic has given a boost to the use of ultrasound since it allows to obtain a wide range of clinical information with a bedside, not harmful, repeatable examination that is reliable. This led to the remarkable growth of publications on lung ultrasounds. The first part of this narrative review aims to discuss basic aspects of lung ultrasounds, from the machine setting, probe choice, and standard examination to signs and semiotics for qualitative and quantitative lung ultrasound interpretation. The second part focuses on how to use lung ultrasound to answer specific clinical questions in critical care units and in emergency departments.
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Affiliation(s)
- Eduardo Rocca
- Department of Translational Medicine, University of Eastern Piedmont, 28100 Novara, Italy
| | - Christian Zanza
- Department of Anesthesia and Critical Care Medicine, AON SS. Antonio e Biagio e Cesare Arrigo H, 15121 Alessandria, Italy
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Yaroslava Longhitano
- Department of Anesthesiology and Perioperative Medicine, University of Pittsburgh, Pittsburgh, PA 15260, USA
| | - Fabio Piccolella
- Department of Anesthesia and Critical Care Medicine, AON SS. Antonio e Biagio e Cesare Arrigo H, 15121 Alessandria, Italy
| | - Tatsiana Romenskaya
- Department of Anesthesia and Critical Care Medicine, AON SS. Antonio e Biagio e Cesare Arrigo H, 15121 Alessandria, Italy
| | - Fabrizio Racca
- Department of Anesthesia and Critical Care Medicine, AON SS. Antonio e Biagio e Cesare Arrigo H, 15121 Alessandria, Italy
- Department of Anesthesia and Critical Care Medicine, AO Mauriziano Hospital, University of Turin, 10124 Turin, Italy
| | - Gabriele Savioli
- Emergency Medicine and Surgery, IRCCS Fondazione Policlinico San Matteo, 27100 Pavia, Italy
| | - Angela Saviano
- Department of Emergency Medicine, Policlinico Gemelli/IRCCS University of Catholic of Sacred Heart, 00168 Rome, Italy
| | - Andrea Piccioni
- Department of Emergency Medicine, Policlinico Gemelli/IRCCS University of Catholic of Sacred Heart, 00168 Rome, Italy
| | - Silvia Mongodi
- Department of Anesthesia and Intensive Care Medicine, Critical Care Unit-1, Fondazione IRCCS Policlinico S. Matteo, 27100 Pavia, Italy
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Buonsenso D, Morello R, Mariani F, De Rose C, Cortese R, Vetrugno L, Valentini P. Role of Lung Ultrasound in the Follow-Up of Children with Previous SARS-CoV-2 Infection: A Case-Control Assessment of Children with Long COVID or Fully Recovered. J Clin Med 2023; 12:jcm12093342. [PMID: 37176782 PMCID: PMC10179159 DOI: 10.3390/jcm12093342] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 04/28/2023] [Accepted: 05/04/2023] [Indexed: 05/15/2023] Open
Abstract
Lung ultrasound (LUS) can detect lower respiratory tract involvement in children with acute SARS-CoV-2 infection. However, its role in follow-up assessments is still unclear. To describe LUS findings in children after SARS-CoV-2 infection, we conducted a prospective study in a population of pediatric patients referred to the post-COVID unit in a tertiary center during the study period from February 2021 to May 2022. Children were classified as recovered from acute infection or with persisting symptoms. LUS was performed in all children and a LUS score (ranging from 0 to 36 points) was calculated according to the Italian Academy of Thoracic Ultrasound. Six hundred forty-seven children (304 females, 47%) were enrolled. The median follow-up evaluation was two months. The median age was 7.9 (IQR: 6) years. At the follow-up evaluation, 251 patients (38.8%) had persistent symptoms, of whom 104 (16.1%) had at least one respiratory symptom. The median LUS level was 2 (IQR: 4). LUS findings and LUS scores did not differ in children with Long COVID compared to the group of children fully recovered from the initial infection. In conclusion, after SARS-CoV-2 infection, LUS was mostly normal or showed minimal artifacts in all groups of children.
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Affiliation(s)
- Danilo Buonsenso
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
- Global Health Center, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Rosa Morello
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Francesco Mariani
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Cristina De Rose
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
| | - Rossella Cortese
- School of Medicine, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Luigi Vetrugno
- Department of Medical, Oral and Biotechnological Sciences, University of Chieti-Pescara, 66100 Chieti, Italy
| | - Piero Valentini
- Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario A. Gemelli, IRCCS, 00168 Rome, Italy
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31
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Bruno A, Ignesti G, Salvetti O, Moroni D, Martinelli M. Efficient Lung Ultrasound Classification. Bioengineering (Basel) 2023; 10:bioengineering10050555. [PMID: 37237625 DOI: 10.3390/bioengineering10050555] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 04/28/2023] [Accepted: 05/02/2023] [Indexed: 05/28/2023] Open
Abstract
A machine learning method for classifying lung ultrasound is proposed here to provide a point of care tool for supporting a safe, fast, and accurate diagnosis that can also be useful during a pandemic such as SARS-CoV-2. Given the advantages (e.g., safety, speed, portability, cost-effectiveness) provided by the ultrasound technology over other examinations (e.g., X-ray, computer tomography, magnetic resonance imaging), our method was validated on the largest public lung ultrasound dataset. Focusing on both accuracy and efficiency, our solution is based on an efficient adaptive ensembling of two EfficientNet-b0 models reaching 100% of accuracy, which, to our knowledge, outperforms the previous state-of-the-art models by at least 5%. The complexity is restrained by adopting specific design choices: ensembling with an adaptive combination layer, ensembling performed on the deep features, and minimal ensemble using two weak models only. In this way, the number of parameters has the same order of magnitude of a single EfficientNet-b0 and the computational cost (FLOPs) is reduced at least by 20%, doubled by parallelization. Moreover, a visual analysis of the saliency maps on sample images of all the classes of the dataset reveals where an inaccurate weak model focuses its attention versus an accurate one.
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Affiliation(s)
- Antonio Bruno
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Giacomo Ignesti
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Ovidio Salvetti
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Davide Moroni
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
| | - Massimo Martinelli
- Institute of Information Science and Technologies, National Research Council, 56124 Pisa, Italy
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Jordan H, Preston H, Hall DP, Gifford H, Gillies MA. Point-of-care echocardiography and thoracic ultrasound in the management of critically ill patients with COVID-19 infection: Experience in three regional UK intensive care units. J Intensive Care Soc 2023; 24:147-153. [PMID: 37255990 PMCID: PMC10225795 DOI: 10.1177/17511437211045326] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2023] Open
Abstract
INTRODUCTION Point-of-care ultrasound (POCUS) has an established role in the management of the critically ill. Information and experience of its use in those with COVID-19 disease is still evolving. We undertook a review of cardiac and thoracic ultrasound examinations in patients with COVID-19 on the intensive care unit (ICU). Our aim was to report key findings and their impact on patient management. METHODS A retrospective evaluation of critically ill patients with COVID-19 was undertaken in three adult ICUs, who received point-of-care cardiac and/or thoracic ultrasound during the 2019-2020 COVID-19 pandemic. We recorded baseline demographic data, principal findings, change in clinical management and outcome data. RESULTS A total of 55 transthoracic echocardiographic examinations scans were performed on 35 patients. 35/55 (64%) echocardiograms identified an abnormality, most commonly a dilated or impaired right ventricle (RV) and 39/55 (70%) scans resulted in a change in management. Nine patients (26%) were found to have pulmonary arterial thrombosis on CTPA or post-mortem. More than 50% of these patients showed evidence of right ventricular dilatation or impairment. Of the patients who were known to have pulmonary arterial thrombosis and died, 83% had evidence of right ventricular dilatation or impairment. 32 thoracic ultrasound scans were performed on 23 patients. Lung sliding and pleural thickening were present bilaterally in all studies. Multiple B-lines were present in all studies, and sub-pleural consolidation was present bilaterally in 72%. CONCLUSION POCUS is able to provide useful and clinically relevant information in those critically ill with COVID-19 infection, resulting in change in management in a high proportion of patients. Common findings in this group are RV dysfunction, multiple B-lines and sub-pleural consolidation.
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Affiliation(s)
- Helen Jordan
- Department of Anaesthesia, Critical Care and Pain
Medicine, Royal Infirmary of
Edinburgh, Edinburgh, UK
| | - Hannah Preston
- Department of Anaesthesia, Critical Care and Pain
Medicine, Royal Infirmary of
Edinburgh, Edinburgh, UK
| | - David P Hall
- Department of Anaesthesia, Critical Care and Pain
Medicine, Royal Infirmary of
Edinburgh, Edinburgh, UK
| | - Hugh Gifford
- Department of Anaesthesia, Critical Care and Pain
Medicine, Royal Infirmary of
Edinburgh, Edinburgh, UK
| | - Michael A Gillies
- Department of Anaesthesia, Critical Care and Pain
Medicine, Royal Infirmary of
Edinburgh, Edinburgh, UK
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Navarro-Ballester A, Merino-Bonilla JA, Ros-Mendoza LH, Marco-Doménech SF. Publications on COVID-19 in radiology journals in 2020 and 2021: bibliometric citation and co-citation network analysis. Eur Radiol 2023; 33:3103-3114. [PMID: 36571605 PMCID: PMC9791158 DOI: 10.1007/s00330-022-09340-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 10/20/2022] [Accepted: 11/29/2022] [Indexed: 12/27/2022]
Abstract
OBJECTIVES The pandemic caused by SARS-CoV-2 has led to the rapid publication of numerous radiology articles, primarily focused on disease diagnosis. The objective of this study is to analyze the intellectual structure of radiology research on COVID-19 using a citation and co-citation analysis. METHODS We identified all documents about COVID-19 published in radiology journals included in the Web of Science in the period 2020-2021, conducting a citation analysis. Then we identified all bibliographic references that were cited by these documents, generating a co-citation matrix that was used to perform a co-citation network. RESULTS Of the 3418 documents indexed in WoS, 857 were initially "Early Access," 2223 had citations, 393 had more than 20 citations, and 83 had more than 100 citations. The USA had the highest number of publications (32.62%) and China had the highest rate of funded studies (45.38%). The three authors with the most publications were affiliated with Italian institutions, while the five most cited authors were Chinese. A total of 647 publications were co-cited at least 12 times and were published in 206 different journals, with 49% of the documents found in radiology journals. The institutions with the greatest presence among these co-cited articles were Chinese and American. CONCLUSION This co-citation analysis is the first to focus exclusively on radiology articles on COVID-19. Our study confirms the existence of interrelated thematic clusters with different specific weights. KEY POINTS • As the pandemic caused by SARS-Cov-2 has led to the rapid publication of numerous radiology studies in a short time period, a bibliometric review based on citation and co-citation analysis has been conducted. • The co-citation analysis supported the identification of key themes in the study of COVID-19 in radiology publications. • Many of the most co-cited articles belong to a heterogeneous group of publications, with authors from countries that are far apart and even from different disciplines.
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Affiliation(s)
- Antonio Navarro-Ballester
- Radiology Department, Hospital General Universitari de Castelló, Benicasim avenue, 128. P.C.: 12,004, Castellón de la Plana, Castellón, Spain.
| | - José A Merino-Bonilla
- Radiology Department, Hospital Santiago Apóstol, Carretera de Orón, s/n, 09200, Miranda de Ebro, Burgos, Spain
| | - Luis H Ros-Mendoza
- Radiology Department, Hospital Universitario Miguel Servet, P.º de Isabel la Católica, 1-3, 50009, Zaragoza, Spain
| | - Santiago F Marco-Doménech
- Radiology Department, Hospital General Universitari de Castelló, Benicasim avenue, 128. P.C.: 12,004, Castellón de la Plana, Castellón, Spain
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Zhu Y, Li L, Sun B, Zhang M, Zhang C, Xiao C, Chen L. A rational design of polymers through donor modulation to weaken the aggregation-caused quenching effect for NIR-II fluorescence imaging. J Mater Chem B 2023; 11:2129-2134. [PMID: 36786806 DOI: 10.1039/d2tb02357a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
The great tissue penetration depth and low tissue autofluorescence of NIR-II fluorescence imaging make it attractive for in vivo diagnosis. However, the aggregation-caused quenching (ACQ) effect is among the dominant obstacles that weaken NIR-II imaging and restrict its application. Herein, the donor unit, 2,8-dibromo-6H,12H-5,11-methanodibenzo[b,f] [1,5]diazocine with a V-configuration, was introduced to prepare the donor-acceptor (D-A) polymer P-TB with a twisted backbone, while the planar D-A polymer P-TP was used as a control. P-TB and P-TP were prepared by Stille Coupling with DPP as the acceptor. The main absorption peaks of P-TB and P-TP are located at 610 nm and 640 nm, and the emission peaks of P-TB and P-TP are 1060 nm and 930 nm, respectively. Significantly, the V-shaped P-TB showed no obvious ACQ effect within 600 μM, and the same phenomenon was demonstrated during in vivo NIR-II imaging in mice, which proves that the introduction of V-configuration donor units is beneficial for weakening the ACQ effect. This work outlines a prospective tactic for the design of conventional NIR-II fluorescent polymers by modulating the configuration of the donor units.
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Affiliation(s)
- Yaowei Zhu
- Department of Chemistry, Northeast Normal University, Changchun 130024, P. R. China
| | - Lili Li
- Department of Chemistry, Northeast Normal University, Changchun 130024, P. R. China
| | - Bin Sun
- Joint Laboratory of Opto-Functional Theranostics in Medicine and Chemistry, The First Hospital of Jilin University, Changchun, 130021, P. R. China
| | - Min Zhang
- Department of Chemistry, Northeast Normal University, Changchun 130024, P. R. China
| | - Chunmei Zhang
- Department of Cell Biology, College of Basic Medical Sciences, Jilin University, No. 126 Xinmin Avenue, Changchun, China.
| | - Chunsheng Xiao
- Key Laboratory of Polymer Ecomaterials, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, P. R. China
| | - Li Chen
- Department of Chemistry, Northeast Normal University, Changchun 130024, P. R. China
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Baloescu C, Weingart GE, Moore CL. Emergency Department Point-Of-Care Echocardiography and Lung Ultrasound in Predicting COVID-19 Severity. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023. [PMID: 36840721 DOI: 10.1002/jum.16205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 01/17/2023] [Accepted: 02/09/2023] [Indexed: 06/18/2023]
Abstract
OBJECTIVES We sought to determine if point-of-care ultrasound (POCUS) performed on patients with COVID-19 in the emergency department (ED) can help predict disease course, severity, or identify complications. METHODS This was a retrospective cohort study of adult ED patients who tested positive for COVID-19 at hospital admission or within 2 weeks of presentation and received heart or lung POCUS. Clips were reviewed for presence of decreased left ventricular ejection fraction (LVEF), right ventricular dilation, presence of B-lines, and pleural line abnormalities. Patients with worsening hypoxemic respiratory failure or shock requiring higher level of care and patients who expired were considered to have developed severe COVID-19. Regression analysis was performed to determine if there was a correlation between ED POCUS findings and development of severe COVID-19. RESULTS A total of 155 patients met study criteria; 148 patients had documented cardiac views and 116 patients had documented lung views (113 with both). Mean age was 66.5 years old (±18.6) and 53% of subjects were female. Subjects with decreased LVEF that was not previously documented had increased odds of having severe COVID during their hospitalization compared to those with old or no dysfunction (OR 5.66, 95% CI: 1.55-19.95, P = .08). The presence of pleural line abnormalities was also predictive for development of severe COVID (OR 2.68, 95% CI: 1.04-6.92, P = .04). CONCLUSION POCUS findings of previously unidentified decreased LVEF and pleural line abnormalities in patients with COVID-19 evaluated in the ED were correlated to a more severe clinical course and worse prognosis.
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Affiliation(s)
- Cristiana Baloescu
- Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Gabriel E Weingart
- Department of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Christopher L Moore
- Department of Emergency, Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
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Integrated Assessment of Heart, Lung and Lower Extremity Veins Using Hand-Held Ultrasound Device in COVID-19 Patients: Feasibility and Clinical Application. Diagnostics (Basel) 2023; 13:diagnostics13040724. [PMID: 36832210 PMCID: PMC9954818 DOI: 10.3390/diagnostics13040724] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 01/24/2023] [Accepted: 02/12/2023] [Indexed: 02/17/2023] Open
Abstract
The emergence of the COVID-19 pandemic caused a significant shortage of medical personnel and the prioritization of life-saving procedures on internal medicine and cardiology wards. Thus, the cost- and time-effectiveness of each procedure proved vital. Implementing elements of imaging diagnostics into the physical examination of COVID-19 patients could prove beneficial to the treatment process, providing important clinical data at the moment of admission. Sixty-three patients with positive COVID-19 test results were enrolled into our study and underwent physical examination expanded with a handheld ultrasound device (HUD)-performed bedside assessment included: right ventricle measurement, visual and automated LVEF assessment, four-point compression ultrasound test (CUS) of lower extremities and lung ultrasound. Routine testing consisting of computed-tomography chest scanning, CT-pulmonary angiogram and full echocardiography performed on a high-end stationary device was completed in the following 24 h. Lung abnormalities characteristic for COVID-19 were detected in CT in 53 (84%) patients. The sensitivity and specificity of bedside HUD examination for detecting lung pathologies was 0.92 and 0.90, respectively. Increased number of B-lines had a sensitivity of 0.81, specificity 0.83 for the ground glass symptom in CT examination (AUC 0.82; p < 0.0001); pleural thickening sensitivity 0.95, specificity 0.88 (AUC 0.91, p < 0.0001); lung consolidations sensitivity 0.71, specificity 0.86 (AUC 0.79, p < 0.0001). In 20 patients (32%), pulmonary embolism was confirmed. RV was dilated in HUD examination in 27 patients (43%), CUS was positive in two patients. During HUD examination, software-derived LV function analysis failed to measure LVEF in 29 (46%) cases. HUD proved its potential as the first-line modality for the collection of heart-lung-vein imaging information among patients with severe COVID-19. HUD-derived diagnosis was especially effective for the initial assessment of lung involvement. Expectedly, in this group of patients with high prevalence of severe pneumonia, HUD-diagnosed RV enlargement had moderate predictive value and the option to simultaneously detect lower limb venous thrombosis was clinically attractive. Although most of the LV images were suitable for the visual assessment of LVEF, an AI-enhanced software algorithm failed in almost 50% of the study population.
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Demi L, Wolfram F, Klersy C, De Silvestri A, Ferretti VV, Muller M, Miller D, Feletti F, Wełnicki M, Buda N, Skoczylas A, Pomiecko A, Damjanovic D, Olszewski R, Kirkpatrick AW, Breitkreutz R, Mathis G, Soldati G, Smargiassi A, Inchingolo R, Perrone T. New International Guidelines and Consensus on the Use of Lung Ultrasound. JOURNAL OF ULTRASOUND IN MEDICINE : OFFICIAL JOURNAL OF THE AMERICAN INSTITUTE OF ULTRASOUND IN MEDICINE 2023; 42:309-344. [PMID: 35993596 PMCID: PMC10086956 DOI: 10.1002/jum.16088] [Citation(s) in RCA: 137] [Impact Index Per Article: 68.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/28/2022] [Accepted: 07/31/2022] [Indexed: 05/02/2023]
Abstract
Following the innovations and new discoveries of the last 10 years in the field of lung ultrasound (LUS), a multidisciplinary panel of international LUS experts from six countries and from different fields (clinical and technical) reviewed and updated the original international consensus for point-of-care LUS, dated 2012. As a result, a total of 20 statements have been produced. Each statement is complemented by guidelines and future developments proposals. The statements are furthermore classified based on their nature as technical (5), clinical (11), educational (3), and safety (1) statements.
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Affiliation(s)
- Libertario Demi
- Department of Information Engineering and Computer ScienceUniversity of TrentoTrentoItaly
| | - Frank Wolfram
- Department of Thoracic and Vascular SurgerySRH Wald‐Klinikum GeraGeraGermany
| | - Catherine Klersy
- Unit of Clinical Epidemiology and BiostatisticsFondazione IRCCS Policlinico S. MatteoPaviaItaly
| | - Annalisa De Silvestri
- Unit of Clinical Epidemiology and BiostatisticsFondazione IRCCS Policlinico S. MatteoPaviaItaly
| | | | - Marie Muller
- Department of Mechanical and Aerospace EngineeringNorth Carolina State UniversityRaleighNorth CarolinaUSA
| | - Douglas Miller
- Department of RadiologyMichigan MedicineAnn ArborMichiganUSA
| | - Francesco Feletti
- Department of Diagnostic ImagingUnit of Radiology of the Hospital of Ravenna, Ausl RomagnaRavennaItaly
- Department of Translational Medicine and for RomagnaUniversità Degli Studi di FerraraFerraraItaly
| | - Marcin Wełnicki
- 3rd Department of Internal Medicine and CardiologyMedical University of WarsawWarsawPoland
| | - Natalia Buda
- Department of Internal Medicine, Connective Tissue Disease and GeriatricsMedical University of GdanskGdanskPoland
| | - Agnieszka Skoczylas
- Geriatrics DepartmentNational Institute of Geriatrics, Rheumatology and RehabilitationWarsawPoland
| | - Andrzej Pomiecko
- Clinic of Pediatrics, Hematology and OncologyUniversity Clinical CenterGdańskPoland
| | - Domagoj Damjanovic
- Heart Center Freiburg University, Department of Cardiovascular Surgery, Faculty of MedicineUniversity of FreiburgFreiburgGermany
| | - Robert Olszewski
- Department of Gerontology, Public Health and DidacticsNational Institute of Geriatrics, Rheumatology and RehabilitationWarsawPoland
| | - Andrew W. Kirkpatrick
- Departments of Critical Care Medicine and SurgeryUniversity of Calgary and the TeleMentored Ultrasound Supported Medical Interventions Research GroupCalgaryCanada
| | - Raoul Breitkreutz
- FOM Hochschule für Oekonomie & Management gGmbHDepartment of Health and SocialEssenGermany
| | - Gebhart Mathis
- Emergency UltrasoundAustrian Society for Ultrasound in Medicine and BiologyViennaAustria
| | - Gino Soldati
- Diagnostic and Interventional Ultrasound UnitValledel Serchio General HospitalLuccaItaly
| | - Andrea Smargiassi
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
| | - Riccardo Inchingolo
- Pulmonary Medicine Unit, Department of Medical and Surgical SciencesFondazione Policlinico Universitario A. Gemelli IRCCSRomeItaly
- Department of Internal Medicine, IRCCS San Matteo Hospital FoundationUniversity of PaviaPaviaItaly
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Royse AG, Lui E, Gai D, Cid X, Canty D, Wang A, Bridgford L, Royse CF. Three Zone Scanning Protocol For Lung Ultrasound: An Anatomical Basis. Heart Lung Circ 2023; 32:247-251. [PMID: 36400698 PMCID: PMC9673129 DOI: 10.1016/j.hlc.2022.09.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/24/2022] [Accepted: 09/03/2022] [Indexed: 11/17/2022]
Abstract
Lung ultrasound is rapidly gaining popularity based on point of care ease of use, diagnostic fidelity and lack of ionising radiation. This was particularly notable at the beginning of the COVID-19 pandemic, where concerns of contamination of the x-ray department led to a reluctance to order frequent chest x-rays. Early COVID-19 lung involvement is of a bronchopneumonia, and patches of consolidation adjacent to the chest wall were easily detectable by ultrasound. A large number of proposed scanning protocols were advocated and are often complex and largely based on traditional stethoscope examination or access points on the chest wall rather than the underlying lung anatomy. A surgical understanding of lung anatomy and related surface anatomy has led us to develop a simplified three zone scanning protocol in 2013. The anterior zone corresponds to the upper lobe, and the posterior zone is divided between upper lobe and lower lobe. The relationship between lung lobes and the surface of the chest wall provides the anatomical basis for a simple three scanning zone lung ultrasound protocol.
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Affiliation(s)
- Alistair G Royse
- Department of Surgery, The University of Melbourne, Melbourne, Vic, Australia; Department of Cardiothoracic Surgery, The Royal Melbourne Hospital, Melbourne, Vic, Australia.
| | - Elaine Lui
- Department of Radiology, The University of Melbourne, Melbourne, Vic, Australia; Department of Radiology, The Royal Melbourne Hospital, Melbourne, Vic, Australia
| | - Dayu Gai
- Department of Radiology, The Royal Melbourne Hospital, Melbourne, Vic, Australia
| | - Ximena Cid
- Department of Surgery, The University of Melbourne, Melbourne, Vic, Australia; Department of Medicine, The Royal Melbourne Hospital, Melbourne, Vic, Australia
| | - David Canty
- Department of Surgery, The University of Melbourne, Melbourne, Vic, Australia; Department of Anaesthesia, Monash Medical Centre, Melbourne, Vic, Australia
| | - Andrew Wang
- Department of Surgery, The University of Melbourne, Melbourne, Vic, Australia
| | - Lindsay Bridgford
- Department of Surgery, The University of Melbourne, Melbourne, Vic, Australia; Emergency Department, Maroondah Hospital, Melbourne, Vic, Australia
| | - Colin F Royse
- Department of Surgery, The University of Melbourne, Melbourne, Vic, Australia; Department of Anaesthesia, The Royal Melbourne Hospital, Melbourne, Vic, Australia; Outcomes Research Consortium, Cleveland Clinic, Cleveland, OH, USA
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Drapkina OM, Dzhioeva ON, Balakhonova TV, Safarova AF, Ershova AI, Zorya OT, Pisaryuk AS, Kobalava ZD. Ultrasound-assisted examination in internal medicine practice. КАРДИОВАСКУЛЯРНАЯ ТЕРАПИЯ И ПРОФИЛАКТИКА 2023. [DOI: 10.15829/1728-8800-2023-3523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/11/2023] Open
Abstract
The guidelines have been developed for internists, general practitioners, emergency physicians, and paramedics. The guidelines are based on expert consensus papers, accumulated clinical and scientific experience. The methodology for organizing and conducting ultrasound-assisted examinations is described in detail. Algorithms for diagnosing the main syndromes in internal medicine practice are presented to help the practitioner. Particular attention is paid to the methodology of ultrasoundassisted examinations. These guidelines will be of interest to doctors, heads of medical facilities, as well as students of medical universities.
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Affiliation(s)
- O. M. Drapkina
- Russian Society for the Prevention of Noncommunicable Diseases
| | - O. N. Dzhioeva
- Russian Society for the Prevention of Noncommunicable Diseases
| | | | - A. F. Safarova
- Russian Society for the Prevention of Noncommunicable Diseases
| | - A. I. Ershova
- Russian Society for the Prevention of Noncommunicable Diseases
| | - O. T. Zorya
- Russian Society for the Prevention of Noncommunicable Diseases
| | - A. S. Pisaryuk
- Russian Society for the Prevention of Noncommunicable Diseases
| | - Zh. D. Kobalava
- Russian Society for the Prevention of Noncommunicable Diseases
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Lung Ultrasound Is Useful for Evaluating Lung Damage in COVID-19 Patients Treated with Bamlanivimab and Etesevimab: A Single-Center Pilot Study. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:medicina59020203. [PMID: 36837405 PMCID: PMC9962749 DOI: 10.3390/medicina59020203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Revised: 01/13/2023] [Accepted: 01/16/2023] [Indexed: 01/22/2023]
Abstract
Background and Objectives: COVID-19 induces massive systemic inflammation. Researchers have spent much time and effort finding an excellent and rapid image tool to evaluate COVID-19 patients. Since the pandemic's beginning, lung ultrasound (LUS) has been identified for this purpose. Monoclonal antibodies (mAb) were used to treat mild patients and prevent respiratory disease worsening. Materials and Methods: We evaluated 15 Caucasian patients with mild COVID-19 who did not require home oxygen, treated with Bamlanivimab and Etesevimab (Group 1). A molecular nose-throat swab test confirmed the diagnosis. All were office patients, and nobody was affected by respiratory failure. They were admitted to receive the single-day infusion of mAb treatment in agreement with the Italian Drug Agency (AIFA) rules for approval. LUS was performed before the drug administration (T0) and after three months (T1). We compared LUS at T1 in other outpatients who came for follow-up and were overlapping at the time of diagnosis for admittance criteria to receive mAb (Group 2). Results: Our COVID-19 outpatients reported no hospitalization in a follow-up visit after recovery. All patients became SARS-CoV-2 negative within one month since T0. LUS score at T0 was 8.23 ± 6.46. At T1 we found a significant decrease in Group 1 LUS score (5.18 ± 4.74; p < 0.05). We also found a significant decrease in the LUS score of Group 1 T1 compared to Group2 T1 (5.18 ± 4.74 vs 7.82 ± 5.21; p < 0.05). Conclusion: Early treatment of the SARS-CoV-2 virus effectively achieves a better recovery from disease and reduces lung involvement after three months as evaluated with LUS. Despite extrapolation to the general population may be done with caution, based on our data this ultrasound method is also effective for evaluating and following lung involvement in COVID-19 patients.
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Blazic I, Cogliati C, Flor N, Frija G, Kawooya M, Umbrello M, Ali S, Baranne ML, Cho YJ, Pitcher R, Vollmer I, van Deventer E, del Rosario Perez M. The use of lung ultrasound in COVID-19. ERJ Open Res 2023; 9:00196-2022. [PMID: 36628270 PMCID: PMC9548241 DOI: 10.1183/23120541.00196-2022] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 09/22/2022] [Indexed: 01/13/2023] Open
Abstract
This review article addresses the role of lung ultrasound in patients with coronavirus disease 2019 (COVID-19) for diagnosis and disease management. As a simple imaging procedure, lung ultrasound contributes to the early identification of patients with clinical conditions suggestive of COVID-19, supports decisions about hospital admission and informs therapeutic strategy. It can be performed in various clinical settings (primary care facilities, emergency departments, hospital wards, intensive care units), but also in outpatient settings using portable devices. The article describes typical lung ultrasound findings for COVID-19 pneumonia (interstitial pattern, pleural abnormalities and consolidations), as one component of COVID-19 diagnostic workup that otherwise includes clinical and laboratory evaluation. Advantages and limitations of lung ultrasound use in COVID-19 are described, along with equipment requirements and training needs. To infer on the use of lung ultrasound in different regions, a literature search was performed using key words "COVID-19", "lung ultrasound" and "imaging". Lung ultrasound is a noninvasive, rapid and reproducible procedure; can be performed at the point of care; requires simple sterilisation; and involves non-ionising radiation, allowing repeated exams on the same patient, with special benefit in children and pregnant women. However, physical proximity between the patient and the ultrasound operator is a limitation in the current pandemic context, emphasising the need to implement specific infection prevention and control measures. Availability of qualified staff adequately trained to perform lung ultrasound remains a major barrier to lung ultrasound utilisation. Training, advocacy and awareness rising can help build up capacities of local providers to facilitate lung ultrasound use for COVID-19 management, in particular in low- and middle-income countries.
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Affiliation(s)
- Ivana Blazic
- Radiology Department, Clinical Hospital Center Zemun, Belgrade, Serbia
| | - Chiara Cogliati
- Internal Medicine, L. Sacco Hospital, ASST Fatebenefratelli-Sacco, Milan, Italy
- Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Nicola Flor
- Unità Operativa di Radiologia, Luigi Sacco University Hospital, Milan, Italy
| | - Guy Frija
- Université de Paris, International Society of Radiology, Paris, France
| | - Michael Kawooya
- Ernest Cook Ultrasound Research and Education Institute (ECUREI), Kampala, Uganda
| | - Michele Umbrello
- SC Anestesia e Rianimazione II, Ospedale San Carlo Borromeo, ASST Santi Paolo e Carlo – Polo Universitario, Milan, Italy
| | - Sam Ali
- ECUREI, Mengo Hospital, Kampala, Uganda
| | - Marie-Laure Baranne
- Assistance Publique – Hôpitaux de Paris, Paris Institute for Clinical Ultrasound, Paris, France
| | - Young-Jae Cho
- South Korea/Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seoul, South Korea
| | - Richard Pitcher
- Division of Radiodiagnosis, Department of Medical Imaging and Clinical Oncology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
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Yang T, Karakus O, Anantrasirichai N, Achim A. Current Advances in Computational Lung Ultrasound Imaging: A Review. IEEE TRANSACTIONS ON ULTRASONICS, FERROELECTRICS, AND FREQUENCY CONTROL 2023; 70:2-15. [PMID: 36355735 DOI: 10.1109/tuffc.2022.3221682] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
In the field of biomedical imaging, ultrasonography has become common practice, and used as an important auxiliary diagnostic tool with unique advantages, such as being non-ionizing and often portable. This article reviews the state-of-the-art in medical ultrasound (US) image processing and in particular its applications in the examination of the lungs. First, we briefly introduce the basis of lung US (LUS) examination. We focus on (i) the characteristics of lung ultrasonography and (ii) its ability to detect a variety of diseases through the identification of various artifacts exhibiting on LUS images. We group medical US image computing methods into two categories: 1) model-based methods and 2) data-driven methods. We particularly discuss inverse problem-based methods exploited in US image despeckling, deconvolution, and line artifacts detection for the former, while we exemplify various works based on deep/machine learning (ML), which exploit various network architectures through supervised, weakly supervised, and unsupervised learning for the data-driven approaches.
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Smith M, Hayward S, Innes S. A proposed framework for point of care lung ultrasound by respiratory physiotherapists: scope of practice, education and governance. Ultrasound J 2022; 14:24. [PMID: 35708815 PMCID: PMC9201799 DOI: 10.1186/s13089-022-00266-6] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 04/04/2022] [Indexed: 01/23/2023] Open
Abstract
Background Point of care ultrasound (PoCUS) has the potential to provide a step change in the management of patients across a range of healthcare settings. Increasingly, healthcare practitioners who are not medical doctors are incorporating PoCUS into their clinical practice. However, the professional, educational and regulatory environment in which this occurs is poorly developed, leaving clinicians, managers and patients at risk. Main body Drawing upon existing medical and non-medical literature, the authors present a proposed framework for the use of PoCUS. Throughout, mechanisms for applying the principles to other professionals and healthcare settings are signposted. Application of the framework is illustrated via one such group of healthcare practitioners and in a particular healthcare setting: respiratory physiotherapists in the UK. In defining the point of care LUS scope of practice we detail what structures are imaged, differentials reported upon and clinical decisions informed by their imaging. This is used to outline the educational and competency requirements for respiratory physiotherapists to safely and effectively use the modality. Together, these are aligned with the regulatory (professional, legal and insurance) arrangements for this professional group in the UK. In so doing, a comprehensive approach for respiratory physiotherapists to consolidate and expand their use of point of care LUS is presented. This provides clarity for clinicians as to the boundaries of their practice and how to train in the modality; it supports educators with the design of courses and alignment of competency assessments; it supports managers with the staffing of existing and new care pathways. Ultimately it provides greater accessibility for patients to safe and effective point of care lung ultrasound. For clinicians who are not respiratory physiotherapists and/or are not based in the UK, the framework can be adapted to other professional groups using point of care LUS as well as other point of care ultrasound (PoCUS) applications, thereby providing a comprehensive and sustainable foundation for PoCUS consolidation and expansion. Conclusion This paper presents a comprehensive framework to support the use of point of care LUS by respiratory physiotherapists in the UK. Mechanisms to adapt the model to support a wide range of other PoCUS users are outlined.
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Liu K, Yao YL, Wang YX, Wei BL, Li LC, Wang QX, Ge HQ, Wang ES, Yang LM, Chen H, Yang YQ, Qin H, Zhai WJ, Yu SJ, Wang XT, Luo Z, Tu GW. A cross-sectional survey on the lung ultrasound training and practice of respiratory therapists in mainland China. BMC Pulm Med 2022; 22:425. [PMID: 36401235 PMCID: PMC9672549 DOI: 10.1186/s12890-022-02213-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Accepted: 11/01/2022] [Indexed: 11/19/2022] Open
Abstract
Purpose This national study aimed to investigate the lung ultrasound (LUS) training and practice of respiratory therapists (RTs) in mainland China. Methods A cross-sectional multicenter survey was conducted from May 22, 2021 to August 12, 2021, through online platforms. This survey included RTs in mainland China. The survey was divided into four sections: (1) demographic characteristics and basic information; (2) basic information about LUS training and practice; (3) LUS practice details; and (4) Other ultrasound training and practice. Results A total of 514 responses were received, and 494 valid responses were included in the analysis. 81.2% (401/494) participants’ highest degree of education was a bachelor’s degree, and 43.1% (213/494) participants were at level II in terms of job ranking. 99.2%(490/494) participants agreed that the RTs needed to learn lung ultrasound, but only 12.3% (61/494) participants had received a LUS training course. Further, 66.2% (327/494) experienced participants responded to Sect. 3. Most of RTs used LUS when the patient had hypoxia (265/327, 81%) or dyspnea (260/317, 79.5%); they also used it during spontaneous breathing trial(SBT) (191/327, 58.4%) or in prone position (177/327, 54.1%). The A-line (302/327, 92.4%), B-line (299/327, 91.4%), lung slide (263/327, 80.4%), and bat sign (259/327, 79.2%) were well known as LUS signs. Also, 30.6% (100/327) participants did not use the LUS protocol in their clinical practice, and only 25.4%(83/327) participants said they had used LUS scores. Moreover, 55.7% (182/327) participants frequently changed the respiratory therapy strategy according to LUS results. Conclusions We should improve the number and workplace of RTs in mainland China in the future. We should also standardize the application of LUS practice and training for RTs in mainland China and establish corresponding certification pathways. Supplementary Information The online version contains supplementary material available at 10.1186/s12890-022-02213-6.
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Bardakci O, Daş M, Akdur G, Akman C, Siddikoğlu D, Şimşek G, Kaya F, Atalay Ü, Topal MT, Beyazit F, Ünal Çetin E, Akdur O, Beyazit Y. Point-of-care Lung Ultrasound, Lung CT and NEWS to Predict Adverse Outcomes and Mortality in COVID-19 Associated Pneumonia. J Intensive Care Med 2022; 37:1614-1624. [PMID: 36317355 PMCID: PMC9623409 DOI: 10.1177/08850666221111731] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Introduction: The appraisal of disease severity and prediction of
adverse outcomes using risk stratification tools at early disease stages is
crucial to diminish mortality from coronavirus disease 2019 (COVID-19). While
lung ultrasound (LUS) as an imaging technique for the diagnosis of lung diseases
has recently gained a leading position, data demonstrating that it can predict
adverse outcomes related to COVID-19 is scarce. The main aim of this study is
therefore to assess the clinical significance of bedside LUS in COVID-19
patients who presented to the emergency department (ED). Methods:
Patients with a confirmed diagnosis of SARS-CoV-2 pneumonia admitted to the ED
of our hospital between March 2021 and May 2021 and who underwent a 12-zone LUS
and a lung computed tomography scan were included prospectively. Logistic
regression and Cox proportional hazard models were used to predict adverse
events, which was our primary outcome. The secondary outcome was to discover the
association of LUS score and computed tomography severity score (CT-SS) with the
composite endpoints. Results: We assessed 234 patients [median age
59.0 (46.8-68.0) years; 59.4% M), including 38 (16.2%) in-hospital deaths for
any cause related to COVID-19. Higher LUS score and CT-SS was found to be
associated with ICU admission, intubation, and mortality. The LUS score
predicted mortality risk within each stratum of NEWS. Pairwise analysis
demonstrated that after adjusting a base prediction model with LUS score,
significantly higher accuracy was observed in predicting both ICU admission (DBA
−0.067, P = .011) and in-hospital mortality (DBA −0.086,
P = .017). Conclusion: Lung ultrasound can be
a practical prediction tool during the course of COVID-19 and can quantify
pulmonary involvement in ED settings. It is a powerful predictor of ICU
admission, intubation, and mortality and can be used as an alternative for chest
computed tomography while monitoring COVID-19-related adverse outcomes.
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Affiliation(s)
- Okan Bardakci
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Murat Daş
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey,Murat Daş, Department of Emergency
Medicine, Faculty of Medicine, Canakkale Onsekiz Mart University,
TerzioğluYerleşkesi, Barbaros Mh, Canakkale 17100, Turkey.
| | - Gökhan Akdur
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Canan Akman
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Duygu Siddikoğlu
- Department of Biostatistics, Faculty of
Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Güven Şimşek
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Feyyaz Kaya
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Ünzile Atalay
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - M. Taha Topal
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Fatma Beyazit
- Department of Obstetrics and
Gynecology, Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Ece Ünal Çetin
- Department of Internal Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Okhan Akdur
- Department of Emergency Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
| | - Yavuz Beyazit
- Department of Internal Medicine,
Faculty of Medicine, Çanakkale Onsekiz Mart
University, Çanakkale, Turkey
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Jourquin S, Lowie T, Debruyne F, Chantillon L, Vereecke N, Boyen F, Boone R, Bokma J, Pardon B. Dynamics of subclinical pneumonia in male dairy calves in relation to antimicrobial therapy and production outcomes. J Dairy Sci 2022; 106:676-689. [DOI: 10.3168/jds.2022-22212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 08/18/2022] [Indexed: 11/09/2022]
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Banai A, Lupu L, Shetrit A, Hochstadt A, Lichter Y, Levi E, Szekely Y, Schellekes N, Jacoby T, Zahler D, Itach T, Taieb P, Gefen S, Viskin D, Shidlansik L, Adler A, Levitsky E, Havakuk O, Banai S, Ghantous E, Topilsky Y. Systematic lung ultrasound in Omicron-type vs. wild-type COVID-19. Eur Heart J Cardiovasc Imaging 2022; 24:59-67. [PMID: 36288539 PMCID: PMC9620376 DOI: 10.1093/ehjci/jeac212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Revised: 08/16/2022] [Accepted: 09/28/2022] [Indexed: 12/24/2022] Open
Abstract
AIMS Preliminary data suggested that patients with Omicron-type-Coronavirus-disease-2019 (COVID-19) have less severe lung disease compared with the wild-type-variant. We aimed to compare lung ultrasound (LUS) parameters in Omicron vs. wild-type COVID-19 and evaluate their prognostic implications. METHODS AND RESULTS One hundred and sixty-two consecutive patients with Omicron-type-COVID-19 underwent LUS within 48 h of admission and were compared with propensity-matched wild-type patients (148 pairs). In the Omicron patients median, first and third quartiles of the LUS-score was 5 [2-12], and only 9% had normal LUS. The majority had either mild (≤5; 37%) or moderate (6-15; 39%), and 15% (≥15) had severe LUS-score. Thirty-six percent of patients had patchy pleural thickening (PPT). Factors associated with LUS-score in the Omicron patients included ischaemic-heart-disease, heart failure, renal-dysfunction, and C-reactive protein. Elevated left-filling pressure or right-sided pressures were associated with the LUS-score. Lung ultrasound-score was associated with mortality [odds ratio (OR): 1.09, 95% confidence interval (CI): 1.01-1.18; P = 0.03] and with the combined endpoint of mortality and respiratory failure (OR: 1.14, 95% CI: 1.07-1.22; P < 0.0001). Patients with the wild-type variant had worse LUS characteristics than the matched Omicron-type patients (PPT: 90 vs. 34%; P < 0.0001 and LUS-score: 8 [5, 12] vs. 5 [2, 10], P = 0.004), irrespective of disease severity. When matched only to the 31 non-vaccinated Omicron patients, these differences were attenuated. CONCLUSION Lung ultrasound-score is abnormal in the majority of hospitalized Omicron-type patients. Patchy pleural thickening is less common than in matched wild-type patients, but the difference is diminished in the non-vaccinated Omicron patients. Nevertheless, even in this milder form of the disease, the LUS-score is associated with poor in-hospital outcomes.
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Affiliation(s)
| | | | - Aviel Shetrit
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Aviram Hochstadt
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Yael Lichter
- The Intensive Care Unit, Tel-Aviv Sourasky Medical Center and Sackler school of Medicine, Tel-Aviv University, Weizmann 6, Tel Aviv 6423919, Israel
| | - Erez Levi
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Yishay Szekely
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Nadav Schellekes
- Clinical Microbiology Laboratory, Tel-Aviv Sourasky Medical Center and Sackler School of Medicine, Tel-Aviv University, Weizmann 6, Tel Aviv 6423919, Israel
| | - Tammy Jacoby
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - David Zahler
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Tamar Itach
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Philippe Taieb
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Sheizaf Gefen
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Dana Viskin
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Lia Shidlansik
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Amos Adler
- Clinical Microbiology Laboratory, Tel-Aviv Sourasky Medical Center and Sackler School of Medicine, Tel-Aviv University, Weizmann 6, Tel Aviv 6423919, Israel
| | - Ekaterina Levitsky
- Clinical Microbiology Laboratory, Tel-Aviv Sourasky Medical Center and Sackler School of Medicine, Tel-Aviv University, Weizmann 6, Tel Aviv 6423919, Israel
| | - Ofer Havakuk
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
| | - Shmuel Banai
- Department of Cardiology, Tel Aviv Sourasky Medical Center and Sackler School of Medicine, Tel Aviv University,Weizmann 6, Tel Aviv 6423919, Israel
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Xia D, Chen G, Wu K, Yu M, Zhang Z, Lu Y, Xu L, Wang Y. Research progress and hotspot of the artificial intelligence application in the ultrasound during 2011-2021: A bibliometric analysis. Front Public Health 2022; 10:990708. [PMID: 36187670 PMCID: PMC9520910 DOI: 10.3389/fpubh.2022.990708] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 08/26/2022] [Indexed: 01/26/2023] Open
Abstract
Ultrasound, as a common clinical examination tool, inevitably has human errors due to the limitations of manual operation. Artificial intelligence is an advanced computer program that can solve this problem. Therefore, the relevant literature on the application of artificial intelligence in the ultrasonic field from 2011 to 2021 was screened by authors from the Web of Science Core Collection, which aims to summarize the trend of artificial intelligence application in the field of ultrasound, meanwhile, visualize and predict research hotspots. A total of 908 publications were included in the study. Overall, the number of global publications is on the rise, and studies on the application of artificial intelligence in the field of ultrasound continue to increase. China has made the largest contribution in this field. In terms of institutions, Fudan University has the most number of publications. Recently, IEEE Access is the most published journal. Suri J. S. published most of the articles and had the highest number of citations in this field (29 articles). It's worth noting that, convolutional neural networks (CNN), as a kind of deep learning algorithm, was considered to bring better image analysis and processing ability in recent most-cited articles. According to the analysis of keywords, the latest keyword is "COVID-19" (2020.8). The co-occurrence analysis of keywords by VOSviewer visually presented four clusters which consisted of "deep learning," "machine learning," "application in the field of visceral organs," and "application in the field of cardiovascular". The latest hot words of these clusters were "COVID-19; neural-network; hepatocellular carcinoma; atherosclerotic plaques". This study reveals the importance of multi-institutional and multi-field collaboration in promoting research progress.
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Affiliation(s)
- Demeng Xia
- Luodian Clinical Drug Research Center, Shanghai Baoshan Luodian Hospital, Shanghai University, Shanghai, China
| | - Gaoqi Chen
- Department of Pancreatic Hepatobiliary Surgery, Changhai Hospital, Naval Medical University, Shanghai, China
| | - Kaiwen Wu
- Department of Gastroenterology, The Third People's Hospital of Chengdu, The Affiliated Hospital of Southwest Jiaotong University, Chengdu, China
| | - Mengxin Yu
- Department of Ultrasound, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China
| | - Zhentao Zhang
- Department of Clinical Medicine, The Naval Medical University, Shanghai, China
| | - Yixian Lu
- Department of Clinical Medicine, The Naval Medical University, Shanghai, China
| | - Lisha Xu
- Department of Ultrasound, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China,Lisha Xu
| | - Yin Wang
- Department of Ultrasound, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China,*Correspondence: Yin Wang
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Lê MP, Jozwiak M, Laghlam D. Current Advances in Lung Ultrasound in COVID-19 Critically Ill Patients: A Narrative Review. J Clin Med 2022; 11:jcm11175001. [PMID: 36078934 PMCID: PMC9457386 DOI: 10.3390/jcm11175001] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 08/22/2022] [Accepted: 08/24/2022] [Indexed: 11/16/2022] Open
Abstract
Lung ultrasound (LUS) has a relatively recent democratization due to the better availability and training of physicians, especially in intensive care units. LUS is a relatively cheap and easy-to-learn and -use bedside technique that evaluates pulmonary morphology when using simple algorithms. During the global COVID-19 pandemic, LUS was found to be an accurate tool to quickly diagnose, triage and monitor patients with COVID-19 pneumonia. This paper aims to provide a comprehensive review of LUS use during the COVID-19 pandemic. The first section of our work defines the technique, the practical approach and the semeiotic signs of LUS examination. The second section exposed the COVID-19 pattern in LUS examination and the difference between the differential diagnosis patterns and the well-correlation found with computer tomography scan findings. In the third section, we described the utility of LUS in the management of COVID-19 patients, allowing an early diagnosis and triage in the emergency department, as the monitoring of pneumonia course (pneumonia progression, alveolar recruitment, mechanical ventilation weaning) and detection of secondary complications (pneumothorax, superinfection). Moreover, we describe the usefulness of LUS as a marker of the prognosis of COVID-19 pneumonia in the fourth section. Finally, the 5th part is focused on describing the interest of the LUS, as a non-ionized technique, in the management of pregnant COVID-19 women.
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Affiliation(s)
- Minh Pierre Lê
- Service de Médecine Intensive-Réanimation, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre & Université Paris Cité, 75014 Paris, France
| | - Mathieu Jozwiak
- Service de Médecine Intensive Réanimation, Centre Hospitalier Universitaire de Nice, Hôpital l’Archet 1, 151 Route Saint Antoine de Ginestière, 06200 Nice, France
- UR2CA, Unité de Recherche Clinique Côte d’Azur, Université Côte d’Azur, 06200 Nice, France
| | - Driss Laghlam
- Service de Médecine Intensive-Réanimation, Hôpital Cochin, Assistance Publique-Hôpitaux de Paris (AP-HP), Centre & Université Paris Cité, 75014 Paris, France
- Correspondence: ; Tel.: +33-158-414-145; Fax: +33-158-412-505
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Survival Evaluation of Hospitalized COVID-19 Patients with Cox Frailty Approach. Disaster Med Public Health Prep 2022; 17:e233. [PMID: 35979746 PMCID: PMC9530373 DOI: 10.1017/dmp.2022.193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
INTRODUCTION The survival cox analysis is becoming more popular in time-to-event data analysis. When there are unobserved /unmeasured individual factors, then the results of this model may not be dependable. Hence, this study aimed to determine the factors associated with Covid-19 patients' survival time with considering frailty factor. METHODS This study was conducted at 1 of the hospitals in Iran, so that hospitalized patients with COVID-19 were included. Epidemiological, clinical, laboratory, and outcome data on admission were extracted from electronic medical records. Gamma-frailty Cox model was used to identify the effects of the risk factors. RESULTS A total of 360 patients with COVID-19 enrolled in the study. The median age was 74 years (IQR 61 - 83), 903 (57·7%) were men, and 661 (42·3%) were women; the mortality rate was 17%. The Cox frailty model showed that there is at least a latent factor in the model (P = 0.005). Age and platelet count were negatively associated with the length of stay, while red blood cell count was positively associated with the length of stay of patients. CONCLUSION The Cox frailty model indicates that in addition to age, the frailty factor is a useful predictor of survival in Covid-19 patients.
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