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Garipoli A, Leone E, Stefanucci R, Beomonte Zobel B, Galluzzo M, Trinci M. A possible role of e-FAST in the hemodynamically stable polytrauma patient: results of a single trauma center preliminary restrospective study. J Ultrasound 2025; 28:75-79. [PMID: 39521752 PMCID: PMC11947327 DOI: 10.1007/s40477-024-00962-0] [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: 08/05/2024] [Accepted: 09/14/2024] [Indexed: 11/16/2024] Open
Abstract
PURPOSE The purpose of this work is to evaluate whether EFAST can also play a role in the hemodynamically stable polytrauma patient, without delaying his arrival in the CT-scan room. METHODS In a period of seven month, 748 polytrauma patients were retrospective valued; we analyzed the findings of the CT exams of 485 haemodynamically stable patients for whom the EFAST investigation was not requested, highlighting the possible presence of findings that, if reported during the EFAST, could have changed the patient management. RESULTS 52 hemodynamically stable patients with CT examination findings potentially detectable by ultrasound examination directly in the shock room, which represent a percentage of about 11% of all the hemodynamically stable patients analyzed; about 54% of CT findings are represented by the presence of pneumothorax. CONCLUSION Looking to the results and the sensitivity of thoracic ultrasound in identifying even small flaps of pneumothorax, the evaluation by EFAST ultrasound examination could be extended at least to all those patients with chest trauma or who require endotracheal intubation. The risk of generating a hypertensive pneumothorax following positive pressure intubation is widely known, and certainly the presence of a pre-existing layer of pneumothorax, even if of modest entity, further increases this possibility.
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Affiliation(s)
- Andrea Garipoli
- Department of Radiology, Isola Tiberina-Gemelli Isola Hospital, Via Di Ponte Quattro Capi, 39, 00186, Rome, Italy.
| | - Edoardo Leone
- Department of Radiology, San Camillo Forlanini Hospital, Rome, Italy
| | - Rita Stefanucci
- Department of Radiology, San Camillo Forlanini Hospital, Rome, Italy
| | | | - Michele Galluzzo
- Department of Radiology, San Camillo Forlanini Hospital, Rome, Italy
| | - Margherita Trinci
- Department of Radiology, Colline Dell'Albegna, Azienda USL Toscana Sud-Est, Arezzo, Italy
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Alimiri Dehbaghi H, Khoshgard K, Sharini H, Jafari Khairabadi S, Naleini F. Radiomics-based machine learning for automated detection of Pneumothorax in CT scans. PLoS One 2024; 19:e0314988. [PMID: 39652609 PMCID: PMC11627382 DOI: 10.1371/journal.pone.0314988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Accepted: 11/18/2024] [Indexed: 12/12/2024] Open
Abstract
The increasing complexity of diagnostic imaging often leads to misinterpretations and diagnostic errors, particularly in critical conditions such as pneumothorax. This study addresses the pressing need for improved diagnostic accuracy in CT scans by developing an intelligent model that leverages radiomics features and machine learning techniques. By enhancing the detection of pneumothorax, this research aims to mitigate diagnostic errors and accelerate the process of image interpretation, ultimately improving patient outcomes. Data used in this study was extracted from the medical records of 175 patients with suspected pneumothorax. The collected images were preprocessed in Matlab software. Radiomics features were extracted from each image and finally, the machine learning models were implemented on these features. The used machine learning algorithms are Gradient Tree Boosting (GBM), eXtreme Gradient Boosting (XGBoost), and Light GBM. To evaluate the performance of models, various evaluation criteria such as precision, accuracy, specificity, sensitivity, F1 score, Area Under the Receiver Operating Characteristic (ROC) Curve (AUC), and misclassification were calculated. According to the calculated evaluation criteria, in terms of accuracy, the Gradient Boosting Machine (GBM) model achieved the highest performance with an accuracy of 98.97%, followed closely by the XGBoost model at 98.29%. For precision, the GBM model outperformed the other models, recording a precision value of 99.55%. Regarding sensitivity, all three models-GBM, XGBoost, and LightGBM (LGBM)-demonstrated strong performance, with sensitivity values of 99%, 99%, and 100%, respectively, indicating minimal variation among them. The artificial intelligence models used in this study have significant potential to enhance patient care by supporting radiologists and other clinicians in the diagnosis of pneumothorax. These models can facilitate the prioritization of positive cases, expedite evaluations, and ultimately improve patient outcomes.
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Affiliation(s)
| | - Karim Khoshgard
- Department of Medical Physics, University of Medical Sciences, Kermanshah, Iran
| | - Hamid Sharini
- Department of Biomedical Engineering, University of Medical Sciences, Kermanshah, Iran
| | | | - Farhad Naleini
- Clinical Research Development Center, Imam Reza Hospital, University of Medical Sciences, Kermanshah, Iran
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Yuan H, Hong C, Tran NTA, Xu X, Liu N. Leveraging anatomical constraints with uncertainty for pneumothorax segmentation. HEALTH CARE SCIENCE 2024; 3:456-474. [PMID: 39735285 PMCID: PMC11671217 DOI: 10.1002/hcs2.119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Revised: 09/01/2024] [Accepted: 09/19/2024] [Indexed: 12/31/2024]
Abstract
Background Pneumothorax is a medical emergency caused by the abnormal accumulation of air in the pleural space-the potential space between the lungs and chest wall. On 2D chest radiographs, pneumothorax occurs within the thoracic cavity and outside of the mediastinum, and we refer to this area as "lung + space." While deep learning (DL) has increasingly been utilized to segment pneumothorax lesions in chest radiographs, many existing DL models employ an end-to-end approach. These models directly map chest radiographs to clinician-annotated lesion areas, often neglecting the vital domain knowledge that pneumothorax is inherently location-sensitive. Methods We propose a novel approach that incorporates the lung + space as a constraint during DL model training for pneumothorax segmentation on 2D chest radiographs. To circumvent the need for additional annotations and to prevent potential label leakage on the target task, our method utilizes external datasets and an auxiliary task of lung segmentation. This approach generates a specific constraint of lung + space for each chest radiograph. Furthermore, we have incorporated a discriminator to eliminate unreliable constraints caused by the domain shift between the auxiliary and target datasets. Results Our results demonstrated considerable improvements, with average performance gains of 4.6%, 3.6%, and 3.3% regarding intersection over union, dice similarity coefficient, and Hausdorff distance. These results were consistent across six baseline models built on three architectures (U-Net, LinkNet, or PSPNet) and two backbones (VGG-11 or MobileOne-S0). We further conducted an ablation study to evaluate the contribution of each component in the proposed method and undertook several robustness studies on hyper-parameter selection to validate the stability of our method. Conclusions The integration of domain knowledge in DL models for medical applications has often been underemphasized. Our research underscores the significance of incorporating medical domain knowledge about the location-specific nature of pneumothorax to enhance DL-based lesion segmentation and further bolster clinicians' trust in DL tools. Beyond pneumothorax, our approach is promising for other thoracic conditions that possess location-relevant characteristics.
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Affiliation(s)
- Han Yuan
- Centre for Quantitative Medicine, Duke‐NUS Medical SchoolSingapore
| | - Chuan Hong
- Department of Biostatistics and BioinformaticsDuke UniversityDurhamNorth CarolinaUSA
| | | | - Xinxing Xu
- Institute of High Performance Computing, Agency for Science, Technology and ResearchSingapore
| | - Nan Liu
- Centre for Quantitative Medicine, Duke‐NUS Medical SchoolSingapore
- Programme in Health Services and Systems Research, Duke‐NUS Medical SchoolSingapore
- Institute of Data ScienceNational University of SingaporeSingapore
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Deng XB, Xie L, Zhu HB, Liu YL, Yang SX, Zhao B, Sun RJ, Li XT, Chen ML, Sun YS. The nodule-pleura relationship affects pneumothorax in CT-guided percutaneous transthoracic needle biopsy: avoiding to cross pleural tail sign may reduce the incidence of pneumothorax. BMC Pulm Med 2024; 24:490. [PMID: 39375667 PMCID: PMC11459803 DOI: 10.1186/s12890-024-03307-z] [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: 04/10/2024] [Accepted: 09/27/2024] [Indexed: 10/09/2024] Open
Abstract
OBJECTIVES To explore the role of nodule-pleural relationship, including nodule with pleural tail sign (PTS), nodule with pleural contact and nodule with pleural unrelated in CT-guided percutaneous transthoracic needle biopsy (PTNB)-induced pneumothorax, and whether employing different puncture routes has an impact on the incidence of pneumothorax in PTNB of nodules with PTS. METHODS Between April 1, 2019, to June 30, 2021, 775 consecutive PTNB procedures of pulmonary nodules in the Peking University Cancer Hospital were retrospectively reviewed. The univariate and multivariate regression analysis were used to identify the risk factors for pneumothorax in PTNB. RESULTS The nodule with pleural contact group has a lower incidence of pneumothorax than the nodule with PTS group (p = 0.001) and the nodule with pleural unrelated group (p = 0.002). It was observed that a higher incidence of pneumothorax caused by crossing PTS compared with no crossing PTS (p < 0.001). Independent risk factors for pneumothorax included crossing PTS (p < 0.001), perifocal emphysema (p < 0.001), biopsy side up (p < 0.001), longer puncture time (p < 0.001), deeper needle insertion depth (intrapulmonary) (p < 0.001) and nodules in the middle or lower lobe (p = 0.007). CONCLUSION Patients with crossing PTS, a nodule in the middle or lower lobe, longer puncture time, biopsy side up, deeper needle insertion depth (intrapulmonary), and perifocal emphysema were more likely to experience pneumothorax in PTNB. When performing the biopsy on a nodule with PTS, selecting a route that avoids crossing through the PTS may be advisable to reduce the risk of pneumothorax.
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Affiliation(s)
- Xu-Bo Deng
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Lei Xie
- Department of Radiology, The First Affiliated Hospital of Shantou University Medical College, No. 57, Changping Road, Jinping District, Shantou, 515041, China
| | - Hai-Bin Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Yu-Liang Liu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Shou-Xin Yang
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Bo Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Rui-Jia Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China
| | - Mai-Lin Chen
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China.
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, No. 52, Fucheng Road, Hai Dian District, Beijing, 100142, China.
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Malla M, Purna Shrestha A, Prasad Shrestha S, Shrestha R. Diagnostic Accuracy of Bedside Lung Ultrasound in Detecting Traumatic Pneumothorax by Novice Physicians in the Emergency Department of a Tertiary Care Hospital of Nepal. Emerg Med Int 2024; 2024:9956637. [PMID: 39346102 PMCID: PMC11427713 DOI: 10.1155/2024/9956637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 08/23/2024] [Accepted: 09/02/2024] [Indexed: 10/01/2024] Open
Abstract
Introduction Traumatic pneumothorax is a life-threatening condition requiring vigilant clinical assessment and urgent management. Lung ultrasound (LUS) is considered to be a safer, rapid, and accurate modality for the early diagnosis of traumatic pneumothorax. The principle objective of this study was to evaluate the diagnostic accuracy of bedside LUS performed by trained novice physicians in the diagnosis of traumatic pneumothorax as compared to supine chest X-rays (CXRs) and/or computed tomography (CT) scans and/or air leak during needle/tube thoracostomy as composite standard. Methods It is a prospective, cross-sectional, single-blinded study using a nonprobability quota sampling technique. A total of 96 patients presenting to the emergency department (ED) with polytrauma and chest injuries within a period of twelve months were included. The diagnostic accuracy of bedside LUS performed by trained novice physicians was calculated in terms of sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared with the composite standard. Results The sensitivity of LUS in diagnosing traumatic pneumothorax as compared to the composite standard was 100% (95% confidence interval (CI): 59.05%-100.00%), whereas its specificity was 97.75% (95% CI: 92.12%-99.73%). Similarly, the PPV and NPV of LUS were 77.7% (95% CI: 39.99%-97.19%) and 100% (95% CI: 95.85%-100.00%), respectively. Conclusion The results of the study showed that the application of LUS in detecting traumatic pneumothorax had similar diagnostic accuracy as supine CXR. Bedside LUS is widely available, portable, and inexpensive. It also has the capability of real-time imaging and can be repeated as necessary with less risk of radiation exposure. Therefore, physicians working in tertiary and rural health institutions must be trained adequately in order to uplift the clinical utility of LUS for the timely and cost-effective detection of traumatic pneumothorax.
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Affiliation(s)
- Monisma Malla
- Department of General Practice and Emergency Medicine Kathmandu University School of Medical Sciences, Dhulikhel, Kavrepalanchowk, Bagmati Province, Nepal
| | - Anmol Purna Shrestha
- Department of General Practice and Emergency Medicine Kathmandu University School of Medical Sciences, Dhulikhel, Kavrepalanchowk, Bagmati Province, Nepal
| | - Shailesh Prasad Shrestha
- Department of General Practice and Emergency Medicine Kathmandu University School of Medical Sciences, Dhulikhel, Kavrepalanchowk, Bagmati Province, Nepal
| | - Roshana Shrestha
- Department of General Practice and Emergency Medicine Kathmandu University School of Medical Sciences, Dhulikhel, Kavrepalanchowk, Bagmati Province, Nepal
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Song MJ, Kang M, Song KH, Kim HB, Kim ES, Jung J, Lim SY. Comparison of the risk of pneumothorax in COVID-19 and seasonal influenza. Sci Rep 2024; 14:21077. [PMID: 39256438 PMCID: PMC11387474 DOI: 10.1038/s41598-024-69266-x] [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: 06/02/2024] [Accepted: 08/02/2024] [Indexed: 09/12/2024] Open
Abstract
Limited evidence exists regarding the link between coronavirus disease 2019 (COVID-19) and pneumothorax. Therefore, we aimed to evaluate the occurrence rate of pneumothorax in hospitalized patients with COVID-19 and compare the risk of pneumothorax between patients with COVID-19 and influenza. This retrospective cohort study used patient data from the National Health Insurance Service of South Korea. Patients diagnosed with COVID-19 (December 2019 to December 2021) and influenza (January 2019 to December 2021) who required hospitalization and respiratory support were included. We identified 46,460 patients with COVID-19 and 6,117 with influenza. The occurrence rate of pneumothorax was 0.74% in patients with COVID-19. In an inverse probability of treatment weighting matched cohort, the Cox proportional hazards regression model showed that COVID-19 was not associated with an increased risk of pneumothorax compared to influenza (hazard ratio, 1.22; 95% confidence interval, 0.75-1.99). However, the risk of pneumothorax associated with COVID-19 compared to influenza was significantly higher in patients without chronic lung disease than in those with (P for heterogeneity = 0.037). In conclusion, COVID-19, compared with influenza, is not associated with an increased risk of pneumothorax; however, it is associated with an increased risk in patients without chronic lung disease.
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Affiliation(s)
- Myung Jin Song
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Republic of Korea
| | - Minsun Kang
- Department of Preventive Medicine, Gachon University College of Medicine, 38 Dokjeom-ro 3-beon-gil, Namdong-gu, Incheon, 21565, Republic of Korea
| | - Kyoung-Ho Song
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Republic of Korea
| | - Hong Bin Kim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Republic of Korea
| | - Eu Suk Kim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Republic of Korea
| | - Jaehun Jung
- Department of Preventive Medicine, Gachon University College of Medicine, 38 Dokjeom-ro 3-beon-gil, Namdong-gu, Incheon, 21565, Republic of Korea
| | - Sung Yoon Lim
- Department of Internal Medicine, Seoul National University College of Medicine and Seoul National University Bundang Hospital, 82 Gumi-ro, Bundang-gu, Seongnam-si, 13620, Republic of Korea.
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Quarato CMI, Mirijello A, Bocchino M, Feragalli B, Lacedonia D, Rea G, Lieto R, Maggi M, Hoxhallari A, Scioscia G, Vicario A, Pellegrino G, Pazienza L, Villani R, Bellanova S, Bracciale P, Notarangelo S, Morlino P, De Cosmo S, Sperandeo M. Low Diagnostic Accuracy of Transthoracic Ultrasound for the Assessment of Spontaneous Pneumothorax in the Emergency Setting: A Multicentric Study. J Clin Med 2024; 13:4861. [PMID: 39201003 PMCID: PMC11355464 DOI: 10.3390/jcm13164861] [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: 07/03/2024] [Revised: 08/04/2024] [Accepted: 08/15/2024] [Indexed: 09/02/2024] Open
Abstract
Background: Pneumothorax (PNX) represents a common clinical condition in emergency departments (EDs), requiring prompt recognition and treatment. The role of transthoracic ultrasounds (TUSs) in the diagnosis of PNX is still debated. We aimed to prospectively evaluate the accuracy of TUSs in the detection of spontaneous PNX in EDs. Methods: A total of 637 consecutive adult patients who presented to the EDs of four Italian hospitals complaining of acutely onset chest pain and dyspnoea were included in the study. Exclusion criteria were previous traumatic events, cardiogenic causes of pain/dyspnoea and suspected tension PNX. The absence of "lung sliding" (B-mode) and the "bar-code" sign (M-mode) were considered indicative of PNX in a TUS. Accuracy, sensitivity, specificity, and positive and negative predictive values (PPVs, NPVs) were calculated using a chest CT scan as reference. Results: Spontaneous PNX occurred in 93 patients: of those, 83 (89.2%) were correctly identified by TUSs. However, 306 patients with suspected PNX at TUS were not confirmed by chest CTs. The diagnostic accuracy of both the absence of "lung sliding" and "bar-code" sign during TUS was 50.4% (95% CI: 46.4-54.3), sensitivity was 89.2% (95% CI: 81.1-94.7), specificity was 43.8% (95% CI: 39.5-48.0), the PPV was 21.3% (95% CI: 19.7-23.1) and the NPV was 96.0% (95% CI: 92.9-97.7). Conclusions: TUS showed high sensitivity but low specificity in the identification of PNX in EDs. Relying exclusively on TUSs results for patients' management in ED settings is neither suitable nor recommendable. TUS examination can be useful to strengthen the clinical suspicion of PNX, but its results should be confirmed by a chest X-ray or CT scan.
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Affiliation(s)
- Carla Maria Irene Quarato
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy; (C.M.I.Q.); (D.L.); (A.H.); (G.S.)
| | - Antonio Mirijello
- Department of Internal Medicine, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy;
| | - Marialuisa Bocchino
- Respiratory Medicine Unit, Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy; (M.B.); (A.V.)
| | - Beatrice Feragalli
- Department of Radiology, “SS. Annunziata” Hospital, University of Chieti, 66100 Chieti, Italy;
| | - Donato Lacedonia
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy; (C.M.I.Q.); (D.L.); (A.H.); (G.S.)
| | - Gaetano Rea
- Department of Radiology, Monaldi Hospital—Azienda Ospedaliera di Rilievo Nazionale (AORN) dei Colli, 80131 Naples, Italy; (G.R.); (R.L.)
| | - Roberta Lieto
- Department of Radiology, Monaldi Hospital—Azienda Ospedaliera di Rilievo Nazionale (AORN) dei Colli, 80131 Naples, Italy; (G.R.); (R.L.)
| | - Michele Maggi
- Department of Emergency Medicine, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy; (M.M.)
| | - Anela Hoxhallari
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy; (C.M.I.Q.); (D.L.); (A.H.); (G.S.)
| | - Giulia Scioscia
- Department of Medical and Surgical Sciences, Institute of Respiratory Diseases, Policlinico Universitario “Riuniti” di Foggia, University of Foggia, 71122 Foggia, Italy; (C.M.I.Q.); (D.L.); (A.H.); (G.S.)
| | - Aldo Vicario
- Respiratory Medicine Unit, Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy; (M.B.); (A.V.)
| | - Giuseppe Pellegrino
- Department of Emergency Medicine, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy; (M.M.)
| | - Luca Pazienza
- Unit of Radiology, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy;
| | - Rosanna Villani
- Department of Medical and Surgical Sciences, Institute of Internal Medicine, University of Foggia, 71122 Foggia, Italy; (R.V.); (S.B.)
| | - Salvatore Bellanova
- Department of Medical and Surgical Sciences, Institute of Internal Medicine, University of Foggia, 71122 Foggia, Italy; (R.V.); (S.B.)
| | - Pierluigi Bracciale
- Pneumology and Respiratory Semi-intensive Care Unit, Ostuni Hospital, 72017 Ostuni, Italy;
| | - Stefano Notarangelo
- Respiratory Diseases and Respiratory Rehabilitation, “Teresa Masselli Mascia” Hospital, 71016 San Severo, Italy; (S.N.); (P.M.)
| | - Paride Morlino
- Respiratory Diseases and Respiratory Rehabilitation, “Teresa Masselli Mascia” Hospital, 71016 San Severo, Italy; (S.N.); (P.M.)
| | - Salvatore De Cosmo
- Department of Internal Medicine, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy;
| | - Marco Sperandeo
- Unit of Interventional and Diagnostic Ultrasound of Internal Medicine, Fondazione IRCCS Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Italy
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Wirz K, Schulz C, Söbbeler F, Armando F, Beythien G, Gerhauser I, de Buhr N, Pilchová V, Meyer zu Natrup C, Baumgärtner W, Kästner S, von Köckritz-Blickwede M. A New Methodology for the Oxygen Measurement in Lung Tissue of an Aged Ferret Model Proves Hypoxia during COVID-19. Am J Respir Cell Mol Biol 2024; 71:146-153. [PMID: 39087829 PMCID: PMC11299086 DOI: 10.1165/rcmb.2024-0005ma] [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: 01/06/2024] [Accepted: 04/30/2024] [Indexed: 08/02/2024] Open
Abstract
Oxygen as a key element has a high impact on cellular processes. Infection with a pathogen such as SARS-CoV-2 and after inflammation may lead to hypoxic conditions in tissue that impact cellular responses. To develop optimized translational in vitro models for a better understanding of physiologic and pathophysiologic oxygen conditions, it is a prerequisite to determine oxygen concentrations generated in vivo. Our study objective was the establishment of an invasive method for oxygen measurements using a luminescence-based microsensor to determine the dissolved oxygen in the lung tissue of ferrets as animal models for SARS-CoV-2 research. By way of analogy to humans, aged ferrets are more likely to show clinical signs after SARS-CoV-2 infection than are young animals. To investigate oxygen concentrations during a respiratory viral infection, we intratracheally infected nine aged (3-yr-old) ferrets with SARS-CoV-2. The aged SARS-CoV-2-infected ferrets showed mild to moderate clinical signs associated with prolonged viral RNA shedding until 14 days postinfection. SARS-CoV-2-infected ferrets showed histopathologic lung lesion scores that significantly negatively correlated with oxygen concentrations in lung tissue. At 4 days postinfection, oxygen concentrations in lung tissue were significantly lower (mean percentage O2, 3.89 ≙ ≈ 27.78 mm Hg) than in the negative control group (mean percentage O2, 8.65 ≙ ≈ 61.4 mm Hg). In summary, we succeeded in determining the pathophysiologic oxygen conditions in the lung tissue of aged SARS-CoV-2-infected ferrets.
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Affiliation(s)
- Katrin Wirz
- Research Center for Emerging Infections and Zoonoses
- Institute of Biochemistry
| | | | | | | | | | | | - Nicole de Buhr
- Research Center for Emerging Infections and Zoonoses
- Institute of Biochemistry
| | - Veronika Pilchová
- Research Center for Emerging Infections and Zoonoses
- Institute of Biochemistry
| | - Christian Meyer zu Natrup
- Research Center for Emerging Infections and Zoonoses
- Institute of Virology, University of Veterinary Medicine Hannover, Foundation, Hannover, Germany
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Lin FCF, Wei CJ, Bai ZR, Chang CC, Chiu MC. Developing an explainable diagnosis system utilizing deep learning model: a case study of spontaneous pneumothorax. Phys Med Biol 2024; 69:145017. [PMID: 38955331 DOI: 10.1088/1361-6560/ad5e31] [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: 11/22/2023] [Accepted: 07/01/2024] [Indexed: 07/04/2024]
Abstract
Objective.The trend in the medical field is towards intelligent detection-based medical diagnostic systems. However, these methods are often seen as 'black boxes' due to their lack of interpretability. This situation presents challenges in identifying reasons for misdiagnoses and improving accuracy, which leads to potential risks of misdiagnosis and delayed treatment. Therefore, how to enhance the interpretability of diagnostic models is crucial for improving patient outcomes and reducing treatment delays. So far, only limited researches exist on deep learning-based prediction of spontaneous pneumothorax, a pulmonary disease that affects lung ventilation and venous return.Approach.This study develops an integrated medical image analysis system using explainable deep learning model for image recognition and visualization to achieve an interpretable automatic diagnosis process.Main results.The system achieves an impressive 95.56% accuracy in pneumothorax classification, which emphasizes the significance of the blood vessel penetration defect in clinical judgment.Significance.This would lead to improve model trustworthiness, reduce uncertainty, and accurate diagnosis of various lung diseases, which results in better medical outcomes for patients and better utilization of medical resources. Future research can focus on implementing new deep learning models to detect and diagnose other lung diseases that can enhance the generalizability of this system.
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Affiliation(s)
- Frank Cheau-Feng Lin
- Department of Thoracic Surgery, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung 40201, Taiwan, R.O.C
- School of Medicine, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung 40201, Taiwan, R.O.C
| | - Chia-Jung Wei
- Department of Industrial Engineering and Industrial Management, National Tsing Hua University, Engineering BuildingⅠ, No. 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan, R.O.C
| | - Zhe-Rui Bai
- Department of Industrial Engineering and Industrial Management, National Tsing Hua University, Engineering BuildingⅠ, No. 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan, R.O.C
| | - Chi-Chang Chang
- Department of Medical Informatics, Chung Shan Medical University, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung 402306, Taiwan, R.O.C
- IT Office, Chung Shan Medical University Hospital, No. 110, Sec. 1, Jianguo N. Rd., South Dist., Taichung 402306, Taiwan, R.O.C
- Department of Information Management, Ming Chuan University, No. 5, De Ming Rd., Taoyuan 333000, Taiwan, R.O.C
| | - Ming-Chuan Chiu
- Department of Industrial Engineering and Industrial Management, National Tsing Hua University, Engineering BuildingⅠ, No. 101, Section 2, Kuang-Fu Road, Hsinchu 30013, Taiwan, R.O.C
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Liao KM, Chiu CC, Lu HY. The risk of secondary spontaneous pneumothorax in patients with chronic obstructive pulmonary disease in Taiwan. Respir Med 2024; 228:107672. [PMID: 38763446 DOI: 10.1016/j.rmed.2024.107672] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 05/12/2024] [Accepted: 05/16/2024] [Indexed: 05/21/2024]
Abstract
INTRODUCTION Secondary spontaneous pneumothorax (SSP) is often linked to chronic obstructive pulmonary disease (COPD). The frequency of SSP occurrence in COPD patients varies among different research findings. SSPs are more commonly found in the elderly population diagnosed with COPD. Previous studies have reported a pneumothorax rate of 26 per 100,000 COPD patients. There is, however, a notable lack of detailed epidemiological information regarding SSP in Asia. Our study focused on determining the occurrence rate of SSP among COPD patients in Taiwan using an extensive national database. Additionally, this study aimed to identify comorbidities associated with SSP in this patient group. METHODS In this study, we used the Longitudinal Health Insurance Database, which contains records of 2 million people who were randomly chosen from among the beneficiaries of the Taiwan National Health Insurance program. The dataset includes information from 2005 to the end of 2017. Our focus was on individuals diagnosed with COPD, identified through ICD-9-CM codes in at least one hospital admission or two outpatient services, with the COPD diagnosis date as the index date. The exclusion criteria included individuals younger than 40 years, those with incomplete records, or those with a previous diagnosis of pneumothorax before the index date. We conducted a matched comparison by pairing COPD patients with control subjects of similar age, sex, and comorbidities using propensity score matching. The follow-up for all participants started from their index date and continued until they developed pneumothorax, reached the study's end, withdrew from the insurance program, or passed away. The primary objective was to evaluate and compare the incidence of pneumothorax between COPD patients and matched controls. RESULTS We enrolled 65,063 patients who were diagnosed with COPD. Their mean age (±SD) was 66.28 (±12.99) years, and approximately 60 % were male. During the follow-up period, pneumothorax occurred in 607 patients, equivalent to 9.3 % of the cohort. The incidence rate of SSP in COPD patients was 12.10 per 10,000 person-years, whereas it was 6.68 per 10,000 person-years in those without COPD. Furthermore, COPD patients with comorbidities such as atrial fibrillation, congestive heart failure, coronary artery disease, diabetes mellitus, hypertension, and cancer exhibited an increased incidence of SSP compared to COPD patients without such comorbidities. This was observed after conducting a multivariable Cox regression analysis adjusted for age, sex, and other comorbidities. CONCLUSION Our study revealed an elevated risk of SSP in patients with COPD. It has also been suggested that COPD patients with comorbidities, such as atrial fibrillation, congestive heart failure, coronary artery disease, diabetes mellitus, hypertension, and cancer, have an increased risk of developing SSP.
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Affiliation(s)
- Kuang-Ming Liao
- Department of Internal Medicine, Chi Mei Medical Center, Chiali, Taiwan; Department of Nursing, Min-Hwei Junior College of Health Care Management, Tainan, Taiwan
| | - Chong-Chi Chiu
- Department of General Surgery, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan; School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan; Department of Medical Education and Research, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Hsueh-Yi Lu
- Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yun-Lin, Taiwan.
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Farag GAI, Zineldin MAI, Al Awady RSAA, Abd El Salam AB, Elkahely MA. Comparative Analysis of Demographic Characteristics, Management, and Outcomes in Primary Versus Secondary Spontaneous Pneumothorax. Cureus 2024; 16:e65216. [PMID: 39176370 PMCID: PMC11341132 DOI: 10.7759/cureus.65216] [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: 07/23/2024] [Indexed: 08/24/2024] Open
Abstract
OBJECTIVES This study aimed to explore the differences between primary spontaneous pneumothorax (PSP) and secondary spontaneous pneumothorax (SSP) in demographic and clinical features, management trends, and outcomes, alongside assessing recurrence risk factors in spontaneous pneumothorax (SP) patients. METHODS This retrospective cohort study at New Damietta Hospital, Al-Azhar University, examined data from adults diagnosed with SP, differentiating between PSP and SSP types based on clinical and radiological criteria, to analyze demographics, clinical characteristics, management strategies, and outcomes. RESULTS In a study of 170 patients, 42.94% were diagnosed with PSP and 57.06% with SSP, showing significant differences in age distribution (P=0.042) and smoking habits (P<0.001 for both tobacco and cannabis). Management approaches varied, with conservative methods more common in PSP (15.07%) and surgical interventions following intercostal tube (ICT) drainage significantly higher in SSP (40.21%, P=0.001). Length of hospital stay (LOS) and recurrence rates were significantly higher in SSP than PSP (P<0.001 for LOS; P=0.001 for recurrence), with postoperative complications and in-hospital mortality occurring exclusively in SSP (P=0.054 for complications, P<0.001 for mortality). Risk factors for recurrence included older age, presence of blebs/bullae (P<0.001), and lower hemoglobin and hematocrit levels (P=0.009 and P=0.008, respectively), with thoracic drainage duration longer in recurrent cases (P=0.008). Smoking status significantly impacted recurrence risk, with current smokers showing a higher risk compared to never-smokers (P=0.012). CONCLUSIONS This study highlights significant demographic, clinical, and management differences between primary and secondary spontaneous pneumothorax, underscoring the importance of tailored treatment strategies to improve patient outcomes. Key findings include the impact of smoking status on recurrence risk and the necessity for individualized management plans, especially in SSP patients who exhibit higher rates of recurrence, longer hospital stays, and greater morbidity.
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Bankier AA, MacMahon H, Colby T, Gevenois PA, Goo JM, Leung AN, Lynch DA, Schaefer-Prokop CM, Tomiyama N, Travis WD, Verschakelen JA, White CS, Naidich DP. Fleischner Society: Glossary of Terms for Thoracic Imaging. Radiology 2024; 310:e232558. [PMID: 38411514 PMCID: PMC10902601 DOI: 10.1148/radiol.232558] [Citation(s) in RCA: 86] [Impact Index Per Article: 86.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 01/17/2024] [Accepted: 01/31/2024] [Indexed: 02/28/2024]
Abstract
Members of the Fleischner Society have compiled a glossary of terms for thoracic imaging that replaces previous glossaries published in 1984, 1996, and 2008, respectively. The impetus to update the previous version arose from multiple considerations. These include an awareness that new terms and concepts have emerged, others have become obsolete, and the usage of some terms has either changed or become inconsistent to a degree that warranted a new definition. This latest glossary is focused on terms of clinical importance and on those whose meaning may be perceived as vague or ambiguous. As with previous versions, the aim of the present glossary is to establish standardization of terminology for thoracic radiology and, thereby, to facilitate communications between radiologists and clinicians. Moreover, the present glossary aims to contribute to a more stringent use of terminology, increasingly required for structured reporting and accurate searches in large databases. Compared with the previous version, the number of images (chest radiography and CT) in the current version has substantially increased. The authors hope that this will enhance its educational and practical value. All definitions and images are hyperlinked throughout the text. Click on each figure callout to view corresponding image. © RSNA, 2024 Supplemental material is available for this article. See also the editorials by Bhalla and Powell in this issue.
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Affiliation(s)
- Alexander A. Bankier
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Heber MacMahon
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Thomas Colby
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Pierre Alain Gevenois
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Jin Mo Goo
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Ann N.C. Leung
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - David A. Lynch
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Cornelia M. Schaefer-Prokop
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Noriyuki Tomiyama
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - William D. Travis
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Johny A. Verschakelen
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - Charles S. White
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
| | - David P. Naidich
- From the Dept of Radiology, University of Massachusetts Memorial
Health and University of Massachusetts Chan Medical School, 55 Lake Ave N,
Worcester, MA 01655 (A.A.B.); Dept of Radiology, University of Chicago, Chicago,
Ill (H.M.); Dept of Pathology, Mayo Clinic Scottsdale, Scottsdale, Ariz (T.C.);
Dept of Pulmonology, Université Libre de Bruxelles, Brussels, Belgium
(P.A.G.); Dept of Radiology, Seoul National University Hospital, Seoul, Korea
(J.M.G.); Center for Academic Medicine, Dept of Radiology, Stanford University,
Palo Alto, Calif (A.N.C.L.); Dept of Radiology, National Jewish Medical and
Research Center, Denver, Colo (D.A.L.); Dept of Radiology, Meander Medical
Centre Amersfoort, Amersfoort, the Netherlands (C.M.S.P.); Dept of Radiology,
Osaka University Graduate School of Medicine, Suita, Japan (N.T.); Dept of
Pathology, Memorial Sloan Kettering Cancer Center, New York, NY (W.D.T.); Dept
of Radiology, Catholic University Leuven, University Hospital Gasthuisberg,
Leuven, Belgium (J.A.V.); Dept of Diagnostic Radiology, University of Maryland
Hospital, Baltimore, Md (C.S.W.); and Dept of Radiology, NYU Langone Medical
Center/Tisch Hospital, New York, NY (D.P.N.)
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Kanne JP, Rother MDM. Pneumothorax: Imaging Diagnosis and Etiology. Semin Roentgenol 2023; 58:440-453. [PMID: 37973273 DOI: 10.1053/j.ro.2023.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 06/30/2023] [Indexed: 11/19/2023]
Affiliation(s)
- Jeffrey P Kanne
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, WI.
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Regmi M, Karki A, Shrestha M, Pathak N, Bhandari S, Sharma NK, Pant P. Bronchopleural fistula associated persistent pneumothorax in a patient recovering from COVID-19 pneumonia: A case report. Clin Case Rep 2023; 11:e7989. [PMID: 37767139 PMCID: PMC10520412 DOI: 10.1002/ccr3.7989] [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: 07/17/2023] [Revised: 09/11/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Key Clinical Message Pneumothorax and bronchopleural fistula (BPF) are potentially fatal complications that can occur in patients with COVID-19 pneumonia. Early detection, appropriate treatment, and consideration of surgical intervention are necessary for optimum outcomes. Abstract Introduction Healthcare professionals face complex challenges as a result of the rare emergence of pneumothorax among the variety of COVID-19 complications, including severe viral pneumonia. Case History A 57-year-old male with multiple comorbidities diagnosed with COVID-19 pneumonia was admitted to our center and exhibited bilateral crepitations. During hospitalization, the patient developed right-sided pneumothorax that persisted despite chest tube insertion was linked to the presence of BPF. Discussion The occurrence of pneumothorax in COVID-19 patients is relatively rare risk factors for which are not yet fully understood, although smoking history may play a role. Conservative management is recommended for asymptomatic cases, while intercostal drainage is necessary for symptomatic patients. Surgical intervention may be required to manage the BPF in some instances. Conclusion Pneumothorax and BPF are rare but potentially life-threatening complications in patients recovering from COVID-19 pneumonia. Early recognition, appropriate treatment, and consideration of surgical intervention are crucial for optimizing patient outcomes.
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Affiliation(s)
- Milan Regmi
- Tribhuvan University Institute of MedicineMaharajgunjNepal
| | - Anurag Karki
- Tribhuvan University Institute of MedicineMaharajgunjNepal
| | - Moon Shrestha
- Tribhuvan University Institute of MedicineMaharajgunjNepal
| | - Nibesh Pathak
- Tribhuvan University Institute of MedicineMaharajgunjNepal
| | | | | | - Pankaj Pant
- Pulmonary and Critical Care Medicine Institute of MedicineTribhuvan University Teaching HospitalMaharajgunjNepal
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Deng LY, Lim XY, Luo TY, Lee MH, Lin TC. Application of Deep Learning Techniques for Detection of Pneumothorax in Chest Radiographs. SENSORS (BASEL, SWITZERLAND) 2023; 23:7369. [PMID: 37687825 PMCID: PMC10490570 DOI: 10.3390/s23177369] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/21/2023] [Accepted: 08/22/2023] [Indexed: 09/10/2023]
Abstract
With the advent of Artificial Intelligence (AI) and even more so recently in the field of Machine Learning (ML), there has been rapid progress across the field. One of the prominent examples is image recognition in the medical category, such as X-ray imaging, Computed Tomography (CT), and Magnetic Resonance Imaging (MRI). It has the potential to alleviate a doctor's heavy workload of sifting through large quantities of images. Due to the rising attention to lung-related diseases, such as pneumothorax and nodules, ML is being incorporated into the field in the hope of alleviating the already strained medical resources. In this study, we proposed a system that can detect pneumothorax diseases reliably. By comparing multiple models and hyperparameter configurations, we recommend a model for hospitals, as its focus on minimizing false positives aligns with the precision required by medical professionals. Through our cooperation with Poh-Ai Hospital, we acquired a total of over 8000 X-ray images, with more than 1000 of them from pneumothorax patients. We hope that by integrating AI systems into the automated process of scanning chest X-ray images with various diseases, more resources will be available in the already strained medical systems. Our proposed system showed that the best model that is used for transfer learning from our dataset performed with an AP of 51.57 and an AP75 of 61.40, with accuracy at 93.89%, a false positive of 1.12%, and a false negative of 4.99%. Based on the feedback from practicing doctors, they are more wary of false positives. For their use case, we recommend another model due to the lower false positive rate and higher accuracy compared with other models, which in our test shows a rate of only 0.88% and 95.68%, demonstrating the feasibility of the research. This promising result showed that it could be utilized in other types of diseases and expand to more hospitals and medical organizations, potentially benefitting more people.
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Affiliation(s)
- Lawrence Y. Deng
- Department of Artificial Intelligence, Tamkang University, Tamsui, New Taipei City 251301, Taiwan;
| | - Xiang-Yann Lim
- Department of Computer Science and Information Engineering, Tamkang University, Tamsui, New Taipei City 251301, Taiwan; (X.-Y.L.); (T.-C.L.)
| | - Tang-Yun Luo
- Office of Physical Education, Tamkang University, Tamsui, New Taipei City 251301, Taiwan;
| | - Ming-Hsun Lee
- Department of Radiology, Lotung Poh-Ai Hospital, Yilan 265501, Taiwan
| | - Tzu-Ching Lin
- Department of Computer Science and Information Engineering, Tamkang University, Tamsui, New Taipei City 251301, Taiwan; (X.-Y.L.); (T.-C.L.)
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Liang P, Chen J, Yao L, Yu Y, Liang K, Chang Q. DAWTran: dynamic adaptive windowing transformer network for pneumothorax segmentation with implicit feature alignment. Phys Med Biol 2023; 68:175020. [PMID: 37541224 DOI: 10.1088/1361-6560/aced79] [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: 05/04/2023] [Accepted: 08/04/2023] [Indexed: 08/06/2023]
Abstract
Objective. This study aims to address the significant challenges posed by pneumothorax segmentation in computed tomography images due to the resemblance between pneumothorax regions and gas-containing structures such as the trachea and bronchus.Approach. We introduce a novel dynamic adaptive windowing transformer (DAWTran) network incorporating implicit feature alignment for precise pneumothorax segmentation. The DAWTran network consists of an encoder module, which employs a DAWTran, and a decoder module. We have proposed a unique dynamic adaptive windowing strategy that enables multi-head self-attention to effectively capture multi-scale information. The decoder module incorporates an implicit feature alignment function to minimize information deviation. Moreover, we utilize a hybrid loss function to address the imbalance between positive and negative samples.Main results. Our experimental results demonstrate that the DAWTran network significantly improves the segmentation performance. Specifically, it achieves a higher dice similarity coefficient (DSC) of 91.35% (a larger DSC value implies better performance), showing an increase of 2.21% compared to the TransUNet method. Meanwhile, it significantly reduces the Hausdorff distance (HD) to 8.06 mm (a smaller HD value implies better performance), reflecting a reduction of 29.92% in comparison to the TransUNet method. Incorporating the dynamic adaptive windowing (DAW) mechanism has proven to enhance DAWTran's performance, leading to a 4.53% increase in DSC and a 15.85% reduction in HD as compared to SwinUnet. The application of the implicit feature alignment (IFA) further improves the segmentation accuracy, increasing the DSC by an additional 0.11% and reducing the HD by another 10.01% compared to the model only employing DAW.Significance. These results highlight the potential of the DAWTran network for accurate pneumothorax segmentation in clinical applications, suggesting that it could be an invaluable tool in improving the precision and effectiveness of diagnosis and treatment in related healthcare scenarios. The improved segmentation performance with the inclusion of DAW and IFA validates the effectiveness of our proposed model and its components.
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Affiliation(s)
- Pengchen Liang
- The Department of School of Microelectronics, Shanghai University, Shanghai, 201800, People's Republic of China
| | - Jianguo Chen
- The School of Software Engineering, Sun Yat-sen University, Zhuhai, Guangdong Province, 519000, People's Republic of China
| | - Lei Yao
- The Department of School of Microelectronics, Shanghai University, Shanghai, 201800, People's Republic of China
| | - Yanfang Yu
- The Department of Pulmonary and Critical Care Medicine, Jiading Central Hospital, Shanghai University of Medicine and Health Sciences, Shanghai, 201800, People's Republic of China
| | - Kaiyi Liang
- The Department of Radiology Jiading District Central Hospital Affiliated with the Shanghai University of Medicine and Health Sciences, Shanghai, 201800, People's Republic of China
| | - Qing Chang
- The Department Shanghai Key Laboratory of Gastric Neoplasms, Department of Surgery, Shanghai Institute of Digestive Surgery, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 201800, People's Republic of China
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Şahin C, Ayyıldız HNK, Mirapoğlu S, Güvenç FT, Akis Yıldız Z, Arpacik M, Kaymakçı A, Ilce Z. Use of Video-Assisted Thoracoscopic Surgery (VATS) in the Treatment of Primary Spontaneous Pneumothorax (PSP) in Children. Cureus 2023; 15:e42624. [PMID: 37641772 PMCID: PMC10460625 DOI: 10.7759/cureus.42624] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/28/2023] [Indexed: 08/31/2023] Open
Abstract
INTRODUCTION This study aims to review the primary spontaneous pneumothorax (PSP) patients we have treated and to discuss the results in terms of PSP treatment management and video-assisted thoracoscopic surgery (VATS) use in the light of the literature. METHODS The study was designed retrospectively and conducted at a tertiary referral university hospital between January 1, 2015 and May 1, 2021. Patients under the age of 18 years with a diagnosis of pneumothorax (PTX) were included in the study. Medical records were analyzed in terms of clinical characteristics, demographic data, findings from imaging data, procedures performed, and course of the disease at hospital. Patients with no evidence of PTX on radiologic imaging (direct postero-anterior chest X-ray (PACXR) or thoracic computed tomography (TCT)), incomplete medical records for follow-up, history of trauma, and neonatal PTX were excluded from the study. RESULTS The study was conducted on a total of 98 PTX cases in 69 patients, 61 (88.4%) males and eight (11.6%) females. The ages of the patients ranged between 13 and 17 years with a mean of 16.59 ± 0.95 years. While 48 (49%) PTX cases were treated with tube thoracostomy, 19 (19.4%) were treated with medical follow-up (nonsurgical treatment) and 31 (31.6%) were treated with VATS. A total of 31 VATS procedures were performed on 28 patients. The follow-up period after VATS ranged from tthree to 78 months, with a mean of 31.5 ± 20.3 months and a median of 28 months. CONCLUSION Our retrospective study showed that TCT scanning did not provide additional benefit when PSP was detected on PACXR in patients presenting with chest pain and respiratory distress. According to the findings of our study, it was thought that the probability of undergoing an invasive procedure and surgical intervention increased as the percentage of PTX detected in PACXR increased. Tube thoracostomy may be required in a patient with PSP if PTX does not start to decrease and lung expansion does not increase after an average of 60 hours after the decision for medical follow-up, and if PTX is progressive in the follow-up. VATS can be performed on a patient with PSP when lung expansion does not increase after an average of 18 hours after tube thoracostomy, when PTX progresses, when air leakage continues for more than 10 days despite increased lung expansion, and when recurrent PTX occurs.
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Affiliation(s)
- Ceyhan Şahin
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
| | | | - Semih Mirapoğlu
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
| | - Fatma Tuğba Güvenç
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
| | - Zeliha Akis Yıldız
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
| | - Mehmet Arpacik
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
| | - Aytekin Kaymakçı
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
| | - Zekeriya Ilce
- Pediatric Surgery, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, TUR
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Lim CM, Lee SJ, Kim HJ, Park DH, Jeong CY, Yang HS. Spontaneous pneumothorax after shoulder arthroscopy under general anesthesia: a case report. J Int Med Res 2023; 51:3000605231189367. [PMID: 37523598 PMCID: PMC10392293 DOI: 10.1177/03000605231189367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/02/2023] Open
Abstract
A woman in her early 70s presented with a right fifth rib fracture along with left scapular body and glenoid fractures resulting from a traffic accident. She had no history of lung disease. The patient underwent multi-incisional video-guided arthroscopic fracture reduction and screw fixation in the right lateral decubitus position under general anesthesia, and surgery was followed by chest tube insertion. Left-sided pneumothorax was found during routine postoperative radiography despite the absence of relevant symptoms or signs such as hypoxia, chest pain, or respiratory difficulty. We herein report this unusual case with a brief literature review.
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Affiliation(s)
- Chang Mook Lim
- Department of Anesthesiology and Pain Medicine, Daejeon Eulji University Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Seok Jin Lee
- Department of Anesthesiology and Pain Medicine, Daejeon Eulji University Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Hyo June Kim
- Department of Orthopedic Surgery, Daejeon Eulji University Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Dong Ho Park
- Department of Anesthesiology and Pain Medicine, Daejeon Eulji University Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Chang Young Jeong
- Department of Anesthesiology and Pain Medicine, Daejeon Eulji University Medical Center, Eulji University School of Medicine, Daejeon, Korea
| | - Hong Seuk Yang
- Department of Anesthesiology and Pain Medicine, Daejeon Eulji University Medical Center, Eulji University School of Medicine, Daejeon, Korea
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Alruwaili SK, Alquraishi AA, Binsaddik OK, Alanazi NS, Bin Marshed A, Albargawi AM, Mounla Ali R, Arishi H. The Descriptive Features of Primary Spontaneous Pneumothorax Patients in King Abdulaziz Medical City, Riyadh, Saudi Arabia. Cureus 2023; 15:e40493. [PMID: 37461752 PMCID: PMC10349917 DOI: 10.7759/cureus.40493] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/15/2023] [Indexed: 07/20/2023] Open
Abstract
Background Primary spontaneous pneumothorax (PSP) is a fairly prevalent disorder in emergency medicine. PSP most frequently affects tall, thin male smokers and is most prevalent during adolescence. Published literature contains a wide range of Primary Spontaneous Pneumothorax (PSP) recurrence rates, but there is limited information on the variables affecting recurrence. Objective To identify the descriptive features of PSP in King Abdulaziz Medical City, Riyadh, Saudi Arabia. Methods This retrospective cross-sectional study was conducted in Surgery King Abdulaziz Medical City, Riyadh, Saudi Arabia. Including all PSP patients from 2016-2021, excluding pediatric and geriatric patients. Participants were selected using a simple random sampling technique, and data were collected from hospital records. Data analysis was conducted by using SPSS. Results In this study, we included a total of 131 participants. Most were males (93.1%), and most were aged between 21-30 years. Our findings showed that most PSP events occurred in winter (28.6%). Followed by fall (25.7%), summer (25.0%), and spring (20.7%). Concerning the smoking status of our respondents, our results revealed that most of them were active smokers (72.5%). Left-PSP was the most commonly reported type of PSP (43.5 %), followed by right-PSP (38.9%), non-simultaneous bilateral PSP (14.5%), and bilateral simultaneous PSP (3.1%). Moreover, we found that the recurrence rate of PSP was 42%. Regarding the management of PSP, almost half of the respondents were managed initially by Chest tube. The most frequently used surgical option was VATS- Bullectomy with Abrasion Pleurodesis. Finally, the recurrence rate of PSP was 42% among the patients. The percentage of patients with one recurrence only was 65.5% among the patients with recurrent PSP, second recurrence at 29.1%. Third, Fourth, and Fifth had the same recurrence percentage of 1.8%, and these percentages came to be statistically significant. (P value < 0.001) Conclusion Our study concluded that PSP was more prevalent in tall, thin, young male smokers. Almost half of the respondents suffered from at least one recurrence attack of PSP. The majority of the patients with recurrences experienced one recurrence only, and the second recurrence was estimated to be almost one-third. There is no significant association between the occurrence and seasons of the attack at a time. Most of the participants were managed initially by a chest tube. The most frequently used surgical option was Video Assisted Thoracoscopic Surgery (VATS) with abrasion pleurodesis.
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Affiliation(s)
| | | | | | - Nawaf S Alanazi
- General Practice, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
| | - Abdulaziz Bin Marshed
- General Practice, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
| | - Ali M Albargawi
- Surgery, King Abdulaziz Medical City, Riyadh, SAU
- Surgery, King Saud Bin Abdulaziz University for Health Sciences, Riyadh, SAU
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20
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Li T, Li YH, Zhang M. Bronchial tuberculosis with recurrent spontaneous pneumothorax: A case report. BMC Pulm Med 2023; 23:93. [PMID: 36944976 PMCID: PMC10029200 DOI: 10.1186/s12890-023-02374-y] [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: 01/03/2023] [Accepted: 02/28/2023] [Indexed: 03/23/2023] Open
Abstract
BACKGROUND Spontaneous pneumothorax associated with tuberculosis due to clinical manifestations, imaging findings and negative pleural biopsy is rare. CASE REPORT A 43-year-old young woman went to the hospital several times because of recurrent dyspnea and was diagnosed with a right spontaneous pneumothorax. She underwent multiple closed thoracic drainage procedures, but the pneumothorax was not completely resolved. Pleural biopsy pathology was chronic inflammation; there was no evidence of tuberculosis. A small amount of pneumothorax persisted, intermittent dyspnea became more severe, and pneumothorax increased. Bronchoscopy showed thickening of the left lung lingular segment mucosa, and the bronchial lavage fluid gene X-PERT/rifampicin resistance test was positive. After one month of anti-tuberculosis treatment, the symptoms of short breath were completely relieved, and chest computerized tomography (CT) showed complete resolution of the right pneumothorax. CONCLUSIONS When searching for the cause of spontaneous pneumothorax, people should not overlook tuberculosis-related secondary pneumothorax, which should be diagnosed and treated as soon as possible.
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Affiliation(s)
- Ting Li
- The Affiliated Hospital of Qinghai University, Xining, 810001, China.
| | - Yu-Hong Li
- Department of Respiratory Medicine, The Affiliated Hospital of Qinghai University, Xining, 810001, China
| | - Ming Zhang
- Department of Respiratory Medicine, The Affiliated Hospital of Qinghai University, Xining, 810001, China
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21
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Thalmann NF, Rimensberger C, Blum MR, Liechti FD, Wertli MM. [Internal differential diagnoses in acute back pain : An internal perspective on the possible causes of acute back pain]. Z Rheumatol 2023; 82:3-9. [PMID: 36094629 PMCID: PMC9894948 DOI: 10.1007/s00393-022-01257-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/06/2022] [Indexed: 02/06/2023]
Abstract
The majority of patients with acute back pain have no serious underlying disease; however, many internal diseases can be manifested as acute or chronic back pain. Therefore, in the assessment of patients with back pain the clinical history and clinical examination are important in order to detect indications for a possible underlying disease. Particularly red flags that indicate an acute or life-threatening disease should not be missed. In most cases where such red flags, risk factors or clinical indications are not present, no systematic search for internal underlying diseases is necessary. This article summarizes the most relevant differential diagnoses and clinical indications as well as warning symptoms.
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Affiliation(s)
- Nicolas F Thalmann
- Allgemeine Innere Medizin, Universitätsspital Bern, Inselspital, Freiburgstr. 18, 3010, Bern, Schweiz.
| | - Caroline Rimensberger
- Allgemeine Innere Medizin, Universitätsspital Bern, Inselspital, Freiburgstr. 18, 3010, Bern, Schweiz
| | - Manuel R Blum
- Allgemeine Innere Medizin, Universitätsspital Bern, Inselspital, Freiburgstr. 18, 3010, Bern, Schweiz
- Berner Institut für Hausarztmedizin (BIHAM), Universität Bern, Mittelstr. 43, 3012, Bern, Schweiz
| | - Fabian D Liechti
- Allgemeine Innere Medizin, Universitätsspital Bern, Inselspital, Freiburgstr. 18, 3010, Bern, Schweiz
| | - Maria M Wertli
- Allgemeine Innere Medizin, Universitätsspital Bern, Inselspital, Freiburgstr. 18, 3010, Bern, Schweiz
- Departement Innere Medizin, Kantonsspital Baden, Im Ergel 1, 5404, Baden, Schweiz
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Hallifax RJ, Walker SP, Maskell NA, Rahman NM. Reply to Albert and Dhooria et al.. Am J Respir Crit Care Med 2023; 207:226-227. [PMID: 36070598 PMCID: PMC9893321 DOI: 10.1164/rccm.202209-1642le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023] Open
Affiliation(s)
- Rob J. Hallifax
- University of OxfordOxford, United Kingdom,Corresponding author (e-mail: )
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23
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Devaraj U, Maheswari U, Ramachandran P, D'Souza GA, Chaudhury A. Pleurodesis in Children with Povidone-Iodine: A New Intrapleural Drug. THE INDIAN JOURNAL OF CHEST DISEASES AND ALLIED SCIENCES 2022; 61:143-145. [DOI: 10.5005/ijcdas-61-3-143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/19/2023]
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24
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Ochi JW. Pneumothorax After Acupuncture: Medicolegal Consequences and Prevention. Med Acupunct 2022. [DOI: 10.1089/acu.2022.0056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- James W. Ochi
- Division of Otolaryngology, Sharp Rees-Stealy Medical Group, San Diego, CA, USA
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25
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Soyer T, Dariel A, Dingemann J, Martinez L, Pini-Prato A, Morini F, De Coppi P, Gorter R, Doi T, Antunovic SS, Kakar M, Hall NJ. European Pediatric Surgeons' Association Survey on the Management of Primary Spontaneous Pneumothorax in Children. Eur J Pediatr Surg 2022; 32:415-421. [PMID: 34823267 DOI: 10.1055/s-0041-1739420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
AIM To evaluate the practice patterns of the European Pediatric Surgeons' Association (EUPSA) members regarding the management of primary spontaneous pneumothorax (PSP) in children. METHODS An online survey was distributed to all members of EUPSA. RESULTS In total, 131 members from 44 countries participated in the survey. Interventional approach (78%) is the most common choice of treatment in the first episode, and most commonly, chest tube insertion (71%) is performed. In the case of a respiratory stable patient, 60% of the responders insert chest tubes if the pneumothorax is more than 2 cm. While 49% of surgeons prefer surgical intervention in the second episode, 42% still prefer chest tube insertion. Main indications for surgical treatment were the presence of bullae more than 2 cm (77%), and recurrent pneumothorax (76%). Eighty-four percent of surgeons prefer thoracoscopy and perform excision of bullae with safe margins (91%). To prevent recurrences, 54% of surgeons perform surgical pleurodesis with pleural abrasion (55%) and partial pleurectomy (22%). The responders who perform thoracoscopy use more surgical pleurodesis and prefer shorter chest tube duration than the surgeons performing open surgery (p < 0.05). CONCLUSION Most of the responders prefer chest tube insertion in the management of first episode of PSP and perform surgical treatment in the second episode in case of underlying bullae more than 2 cm and recurrent pneumothorax. The surgeons performing thoracoscopy use more surgical pleurodesis and prefer shorter chest tube duration than the responders performing open surgery. The development of evidence-based guidelines may help standardize care and improve outcomes in children with PSP.
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Affiliation(s)
- Tutku Soyer
- Department of Pediatric Surgery, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Anne Dariel
- Department of Pediatric Surgery, AP-HM, Marseille, Provence-Alpes-Côte d'Azur, France
| | - Jens Dingemann
- Centre of Pediatric Surgery, Hannover Medical School and "Auf der Bult" Children's Hospital Hannover, Hannover, Germany
| | | | - Alessio Pini-Prato
- Department of Pediatric Surgery, Umberto Bosio Center for Digestive Diseases The Children Hospital AO SS Antonio e Biagio e Cesare Arrigo Alessandria, Italy, EU
| | - Francesco Morini
- Department of Medical and Surgical Neonatology, Azienda Ospedaliero Universitaria Meyer, Firenze, Toscana, Italy
| | - Paolo De Coppi
- Department of Paediatric Surgery, Great Ormond Street Hospital for Children, London, United Kingdom
| | - Ramon Gorter
- Department of Pediatric Surgery, Amsterdam UMC, University of Amsterdam & Vrije Universiteit, Amsterdam, Noord-Holland, the Netherlands
| | - Takashi Doi
- Division of Pediatric Surgery, Department of Surgery, Kansai Medical University, Osaka, Japan
| | | | - Mohit Kakar
- Department of Pediatric Surgery, Riga Stradins University & Children's Clinical University Hospital, Riga, Latvia
| | - Nigel J Hall
- University Surgery Unit, Faculty of Medicine, University of Southampton, United Kingdom
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Haberal MA, Akar E, Şengören Dikiş Ö, Özkaya M, Ay MO, Kaya H, Yüksel M. Effects of Atmospheric Changes on Spontaneous Pneumothorax. EURASIAN JOURNAL OF EMERGENCY MEDICINE 2022. [DOI: 10.4274/eajem.galenos.2021.68725] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022] Open
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Quantitative Measurement of Pneumothorax Using Artificial Intelligence Management Model and Clinical Application. Diagnostics (Basel) 2022; 12:diagnostics12081823. [PMID: 36010174 PMCID: PMC9406694 DOI: 10.3390/diagnostics12081823] [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: 05/12/2022] [Revised: 07/16/2022] [Accepted: 07/26/2022] [Indexed: 11/23/2022] Open
Abstract
Artificial intelligence (AI) techniques can be a solution for delayed or misdiagnosed pneumothorax. This study developed, a deep-learning-based AI model to estimate the pneumothorax amount on a chest radiograph and applied it to a treatment algorithm developed by experienced thoracic surgeons. U-net performed semantic segmentation and classification of pneumothorax and non-pneumothorax areas. The pneumothorax amount was measured using chest computed tomography (volume ratio, gold standard) and chest radiographs (area ratio, true label) and calculated using the AI model (area ratio, predicted label). Each value was compared and analyzed based on clinical outcomes. The study included 96 patients, of which 67 comprised the training set and the others the test set. The AI model showed an accuracy of 97.8%, sensitivity of 69.2%, a negative predictive value of 99.1%, and a dice similarity coefficient of 61.8%. In the test set, the average amount of pneumothorax was 15%, 16%, and 13% in the gold standard, predicted, and true labels, respectively. The predicted label was not significantly different from the gold standard (p = 0.11) but inferior to the true label (difference in MAE: 3.03%). The amount of pneumothorax in thoracostomy patients was 21.6% in predicted cases and 18.5% in true cases.
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Smith C, Mobarakai O, Bux A, Kamel R, Mobarakai N. Secondary Pneumothorax Induced by a Bronchopleural Fistula in a Patient With COVID-19 Pneumonia. Cureus 2022; 14:e26627. [PMID: 35949738 PMCID: PMC9356666 DOI: 10.7759/cureus.26627] [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] [Accepted: 07/07/2022] [Indexed: 11/05/2022] Open
Abstract
COVID-19 is a multi-system disease caused by severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2). One of the main highlights of the disease is the development of pneumonia complicated by adult respiratory distress syndrome. While spontaneous pneumothorax has been reported in some patients with COVID-19, bronchopleural fistula has seldom been reported as the primary cause in these cases. We describe the rare case of a young patient who developed a pneumothorax complicating COVID-19 and was found to have a bronchopleural fistula and empyema secondary to Staphylococcus aureus superinfection.
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Yadav GK, Keshari B, Rohita DK, Mandal KC, Bogati S, Mishra DR. A case report of secondary spontaneous pneumothorax in acute exacerbation of COPD managed with improvised chest tube drain. Ann Med Surg (Lond) 2022; 79:104064. [PMID: 35860074 PMCID: PMC9289406 DOI: 10.1016/j.amsu.2022.104064] [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: 05/18/2022] [Revised: 06/19/2022] [Accepted: 06/21/2022] [Indexed: 11/26/2022] Open
Abstract
Introduction and importance: We reported a case of secondary spontaneous pneumothorax (SSP) in a 70-years-old male with acute exacerbation of COPD (AE COPD) managed with improvised chest tube drain (ICD). Case presentation He presented with sudden onset breathlessness and oxygen saturation of 78%. With prolonged expiration on auscultation, he was treated as AE COPD with oxygen therapy, nebulization with albuterol/ipratropium, and injectable antibiotics and steroids. The patient was not improving with treatment on third day, and non-critical respiratory distress continued. Considering the alternative diagnosis, the chest X-ray was done which revealed right sided spontaneous pneumothorax and COPD. Due to his reluctancy to go to higher center for chest tube insertion during ongoing COVID-19 pandemic, we inserted ICD (intravenous set put in saline bottle) at our primary care. Following drainage, breathlessness improved and saturation increased. Then inpatient symptomatic treatment for COPD was continued for three more days. He was discharged on inhalers after fifth day and asked for follow up after 10 days. He came after 1 month and on repeat chest X-ray, his right sided pneumothorax resolved completely and COPD was in control with inhaled medications. There was no recurrence of pneumothorax in five months follow up. Clinical discussion ICD is a safe, and an alternative option in resource limited setting. However, the guidelines recommend chest tube insertion as appropriate treatment. Conclusion This would remind the physicians to anticipate the alternative possibility, and to re-examine those with AE COPD who are not improving as expected with oxygen and nebulization therapy.
High level of clinical acumen is required to early anticipate the spontaneous pneumothorax in acute exacerbation of COPD. We should be vigilant and re-examine the cases of acute exacerbation of COPD, not improving with oxygen and nebulization. Improvised chest drain is an alternative option for treating secondary spontaneous pneumothorax.
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Villgran VD, Lyons C, Nasrullah A, Clarisse Abalos C, Bihler E, Alhajhusain A. Acute Respiratory Failure. Crit Care Nurs Q 2022; 45:233-247. [PMID: 35617090 DOI: 10.1097/cnq.0000000000000408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Respiratory failure is one of the most common reasons for hospitalization and intensive care unit (ICU) admissions, and a diverse range of etiologies can precipitate it. Respiratory failure can result from various mechanisms such as hypoventilation, diffusion impairment, shunting, ventilation-perfusion mismatch, or a combination of those mentioned earlier. Hence, an accurate understanding of different pathophysiologic mechanisms is required for appropriate patient care. Prompt identification and treatment of various respiratory emergencies such as tension pneumothorax, massive hemoptysis, and high-risk pulmonary embolism lead to fewer complications, shorter ICU and hospital stay, and improved survival. This review article entails common respiratory failure pathologies encountered in the ICU and addresses their epidemiology, pathophysiology, clinical presentation, and management.
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Affiliation(s)
- Vipin Das Villgran
- Division of Pulmonary and Critical Care Medicine, Allegheny Health Network, Pittsburgh, Pennsylvania (Drs Villgran, Nasrullah, Abalos, Bihler, and Alhajhusain); and Department of Nursing, Allegheny General Hospital, Allegheny Health Network, Pittsburgh, Pennsylvania (Ms Lyons)
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Fernández‐Parra R, Losada‐Floriano A, Zilberstein L, Bourzac C. Iatrogenic pneumothorax‐induced heart murmur during standing laparoscopy in a 3‐year‐old horse. EQUINE VET EDUC 2022. [DOI: 10.1111/eve.13641] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- R. Fernández‐Parra
- Pôle Anesthésie et Réanimation Urgences et Soins Intensifs Ecole Nationale Vétérinaire d'Alfort Maisons‐Alfort France
- Department of Small Animal Medicine and Surgery Faculty of Veterinary Medicine Catholic University of Valencia ‘San Vicente Mártir’ Valencia Spain
| | - A. Losada‐Floriano
- Clinique Equine Ecole Nationale Vétérinaire d'Alfort Maisons‐Alfort France
| | - L. Zilberstein
- Pôle Anesthésie et Réanimation Urgences et Soins Intensifs Ecole Nationale Vétérinaire d'Alfort Maisons‐Alfort France
| | - C. Bourzac
- Clinique Equine Ecole Nationale Vétérinaire d'Alfort Maisons‐Alfort France
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Yang J, Hu X, Li J, Zhang G, Ge Y, Wei W. Correlative analysis of lung CT findings in patients with Birt–Hogg–Dubé Syndrome and the occurrence of spontaneous pneumothorax: a preliminary study. BMC Med Imaging 2022; 22:22. [PMID: 35125098 PMCID: PMC8819866 DOI: 10.1186/s12880-022-00743-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Accepted: 01/20/2022] [Indexed: 11/10/2022] Open
Abstract
Background The diagnosis of patients with Birt–Hogg–Dubé (BHD) syndrome is always delayed (even for more than 10 years). Improving the understanding and diagnosis of this disease is vital for clinicians and radiologists. In this study we presented the chest computed tomography (CT) findings of BHD syndrome and offered suggestions for BHD cases with spontaneous pneumothorax. Methods Twenty-six BHD patients from 11 families (10 men, 16 women; mean age: 46 ± 12 years, 20–68 years) were included. The clinical features of the patients included pneumothorax, renal lesions, and skin lesions. Twenty-three patients underwent chest CT imaging. The cyst condition of each patient derived from reconstructed chest CT imaging was recorded, including the cyst number, size, volume, pattern, and distribution. Results Pneumothorax occurred in 54% (14/26) of patients. Among them, 43% (6/14) had pneumothorax more than twice. However, typical skin and renal lesions were absent. Four patients had renal hamartoma. CT showed that 23 (100%) patients had lung cysts. Pulmonary cysts were bilateral and multiple, round, irregular, or willow-like. And 93.6% of the large cysts (long-axis diameter ≥ 20 mm) were under the pleura, and near the mediastinum and spine. The long-axis diameter, short-axis diameter and volume of the largest cysts were associated with the occurrence of pneumothorax (all P < 0.05). Conclusions Chest CT imaging can reveal some characteristic features of BHD syndrome. The occurrence of pneumothorax in BHD patients is closely related to their pulmonary cystic lesions.
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The Collateral Damage of the Pandemic on Non-COVID Related Pneumothorax Patients: A Retrospective Cohort Study. J Clin Med 2022; 11:jcm11030795. [PMID: 35160246 PMCID: PMC8837125 DOI: 10.3390/jcm11030795] [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: 01/05/2022] [Revised: 01/28/2022] [Accepted: 01/31/2022] [Indexed: 02/04/2023] Open
Abstract
Background: Since the onset of the COVID-19 pandemic, there have been many reported cases showing the consequences—or the collateral damages—of COVID-19 on patients with non-COVID-related diseases. This study aimed to compare the clinical manifestations and treatment results of non-COVID-related pneumothorax patients before and during the pandemic. Methods: We retrospectively reviewed non-COVID-related pneumothorax patients who visited our hospital before the onset of the pandemic and during the pandemic. The primary outcome was the difference in the amount of pneumothorax between the two periods, and the secondary outcome was the difference in the treatment results between them. Multivariable logistic regression was conducted to find risk factors related to massive pneumothorax. Results: There were 122 and 88 patients in the pre-pandemic and pandemic groups, respectively. There was no significant difference between the two groups with respect to the preoperative demographic variables. However, the median amount of pneumothorax was significantly higher in the pandemic group (pre-pandemic: 34.75% [interquartile range (IQR) 18.30–62.95] vs. pandemic: 53.55% [IQR 33.58–88.80], p < 0.0001) and massive pneumothorax were more frequent in the pandemic group (52.3% vs. 30.3%, p = 0.002). Furthermore, more patients experienced re-expansion pulmonary edema after treatments during the pandemic (p = 0.0366). In multivariable analysis, the pandemic (OR: 2.70 [95% CI 1.49–4.90], p = 0.0011) was related to the occurrence of massive pneumothorax. Conclusion: During the pandemic, patients presented with a larger size of pneumothorax and had more re-expansion pulmonary edema, even in a country that handled the COVID-19 pandemic relatively well.
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Özdemir S, Çitak N. Determination of Risk Factors for Recurrence in First Episode Pneumothorax. Indian J Surg 2022. [DOI: 10.1007/s12262-021-03274-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022] Open
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Tülüce K, Türüt H. Management of primary spontaneous pneumothorax: Our single-center, five-year experience. TURK GOGUS KALP DAMAR CERRAHISI DERGISI 2022; 30:75-82. [PMID: 35444856 PMCID: PMC8990153 DOI: 10.5606/tgkdc.dergisi.2022.21242] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2020] [Accepted: 02/23/2021] [Indexed: 04/08/2023]
Abstract
BACKGROUND In this study, we aimed to analyze the effects of admission time to the hospital and different variables on the treatment efficiency and to evaluate the recurrence during the clinical management process in patients with the diagnosis of primary spontaneous pneumothorax. METHODS A total of 149 patients with primary spontaneous pneumothorax (131 males, 18 females; mean age: 24.8±6.8 years; range, 17 to 35 years) treated in our clinic between January 2015 and December 2019 were retrospectively analyzed. Time from symptom onset to hospital admission (admission time) was classified as three periods: <24 h, between 24 and 72 h, and >72 h. Data including admission time, demographic and clinical characteristics, smoking history, body mass index, the use of pleurectomy or pleural abrasion during surgery were collected from the charts of the patients. RESULTS Admission time had no statistically significant effect on the length of hospital stay, recurrence, and the need for surgery. Male sex, smoking history, and lower body mass index had no significant effect on the recurrence. Recurrence and length of hospital stay did not significantly differ between the patients in whom pleurectomy or pleural abrasion added to the procedure during the operation. CONCLUSION A longer interval between symptom onset and hospital admission and lower body mass index have no adverse effect on treatment outcomes and the recurrence in patients with primary spontaneous pneumothorax. Despite the fact that surgical treatment significantly decreases the recurrence rate, pleurectomy and pleural abrasion techniques have no significant difference on the clinical influence and recurrence of these patients.
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Affiliation(s)
- Kerim Tülüce
- Department of Thoracic Surgery, Recep Tayyip Erdoğan University Training and Research Hospital, Rize, Turkey
| | - Hasan Türüt
- Department of Thoracic Surgery, Recep Tayyip Erdoğan University Training and Research Hospital, Rize, Turkey
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Taketa T, Uchiyama Y, Kodama N, Koyama T, Domen K. Rehabilitation Management for a Patient with Bilateral Pneumothorax after Surgery for Esophageal Cancer. Prog Rehabil Med 2022; 7:20220017. [PMID: 35434404 PMCID: PMC8983873 DOI: 10.2490/prm.20220017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Accepted: 03/11/2022] [Indexed: 11/09/2022] Open
Affiliation(s)
- Tomoyo Taketa
- Department of Rehabilitation Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Yuki Uchiyama
- Department of Rehabilitation Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Norihiko Kodama
- Department of Rehabilitation Medicine, Hyogo College of Medicine, Nishinomiya, Japan
| | - Tetsuo Koyama
- Department of Rehabilitation Medicine, Nishinomiya Kyoritsu Neurosurgical Hospital, Nishinomiya, Japan
| | - Kazuhisa Domen
- Department of Rehabilitation Medicine, Hyogo College of Medicine, Nishinomiya, Japan
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Selected Disorders of the Respiratory System. Fam Med 2022. [DOI: 10.1007/978-3-030-54441-6_177] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
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Altersberger M, Schneider M, Schiller M, Binder-Rodriguez C, Genger M, Khafaga M, Binder T, Prosch H. Point of care echocardiography and lung ultrasound in critically ill patients with COVID-19. Wien Klin Wochenschr 2021; 133:1298-1309. [PMID: 34714384 PMCID: PMC8553894 DOI: 10.1007/s00508-021-01968-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Accepted: 08/25/2021] [Indexed: 01/08/2023]
Abstract
Hundreds of millions got infected, and millions have died worldwide and still the number of cases is rising.Chest radiographs and computed tomography (CT) are useful for imaging the lung but their use in infectious diseases is limited due to hygiene and availability.Lung ultrasound has been shown to be useful in the context of the pandemic, providing clinicians with valuable insights and helping identify complications such as pleural effusion in heart failure or bacterial superinfections. Moreover, lung ultrasound is useful for identifying possible complications of procedures, in particular, pneumothorax.Associations between coronavirus disease 2019 (COVID-19) and cardiac complications, such as acute myocardial infarction and myocarditis, have been reported. As such, point of care echocardiography as well as a comprehensive approach in later stages of the disease provide important information for optimally diagnosing and treating complications of COVID-19.In our experience, lung ultrasound in combination with echocardiography, has a great impact on treatment decisions. In the acute state as well as in the follow-up setting after a severe or critical state of COVID-19, ultrasound can be of great impact to monitor the progression and regression of disease.
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Affiliation(s)
- Martin Altersberger
- Rehabilitation Center Hochegg for Cardiovascular and Respiratory Diseases, Friedrich Hillegeist Straße 2, 2840 Grimmenstein, Austria
- Department of Cardiology, Nephrology and Intensive Care Medicine, State Hospital Steyr, Steyr, Austria
| | - Matthias Schneider
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria Waehringer Guertel 18–20, 1090
| | - Martina Schiller
- Department of Radiology, State hospital Neunkirchen, Neunkirchen, Austria
| | - Christina Binder-Rodriguez
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria Waehringer Guertel 18–20, 1090
| | - Martin Genger
- Department of Cardiology, Nephrology and Intensive Care Medicine, State Hospital Steyr, Steyr, Austria
| | - Mounir Khafaga
- Rehabilitation Center Hochegg for Cardiovascular and Respiratory Diseases, Friedrich Hillegeist Straße 2, 2840 Grimmenstein, Austria
| | - Thomas Binder
- Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, Vienna, Austria Waehringer Guertel 18–20, 1090
| | - Helmut Prosch
- Department of Biomedical Imaging and Image-guided Therapy, Medical University of Vienna, Vienna, Austria
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Abstract
Pneumothorax is a common problem worldwide. Pneumothorax develops secondary to diverse aetiologies; in many cases, there may be no recognizable lung abnormality. The pathogenetic mechanism(s) causing spontaneous pneumothorax may be related to an interplay between lung-related abnormalities and environmental factors such as smoking. Tobacco smoking is a major risk factor for primary spontaneous pneumothorax; chronic obstructive pulmonary disease is most frequently associated with secondary spontaneous pneumothorax. This review article provides an overview of the historical perspective, epidemiology, classification, and aetiology of pneumothorax. It also aims to highlight current knowledge and understanding of underlying risks and pathophysiological mechanisms in pneumothorax development.
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Affiliation(s)
- Nai-Chien Huan
- Department of Pulmonology, Serdang Hospital, Kajang, Malaysia
| | - Calvin Sidhu
- Edith Cowan University, Perth, Australia; Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Australia
| | - Rajesh Thomas
- Department of Respiratory Medicine, Sir Charles Gairdner Hospital, Perth, Australia; School of Medicine, University of Western Australia, Perth, Australia.
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Habib MB, Mohammad Obeidat I, Ali K, Abdelrazek M, Mohamed MFH. Bronchopleural fistula causing persistent pneumothorax in COVID-19 pneumonia patient with no risk factors. Clin Case Rep 2021; 9:e05128. [PMID: 34824858 PMCID: PMC8605111 DOI: 10.1002/ccr3.5128] [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: 06/10/2021] [Revised: 09/29/2021] [Accepted: 11/03/2021] [Indexed: 11/18/2022] Open
Abstract
Although pneumothorax is a well-known complication of COVID-19 pneumonia especially in patients requiring mechanical ventilation, bronchopleural fistula causing persistent pneumothorax in sole COVID-19 pneumonia is extremely rare. In this case, we illustrate that bronchopleural fistula can be found in COVID-19 pneumonia, even with no risk factors nor mechanical ventilation administration.
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Affiliation(s)
- Mhd Baraa Habib
- Department of Internal MedicineHamad Medical CorporationDohaQatar
| | | | - Khaled Ali
- Community Medicine DepartmentHamad Medical CorporationDohaQatar
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Pan JH, Cheng CH, Wang CL, Dai CY, Sheu CC, Tsai MJ, Hung JY, Chong IW. Risk of pneumothorax in pneumoconiosis patients in Taiwan: a retrospective cohort study. BMJ Open 2021; 11:e054098. [PMID: 34625418 PMCID: PMC8504346 DOI: 10.1136/bmjopen-2021-054098] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
OBJECTIVES This study was conducted to explore the association between pneumoconiosis and pneumothorax. DESIGN Retrospective cohort study. SETTING Nationwide population-based study using the Taiwan National Health Insurance Database. PARTICIPANTS A total of 2333 pneumoconiosis patients were identified (1935 patients for propensity score (PS)-matched cohort) and matched to 23 330 control subjects by age and sex (7740 subjects for PS-matched cohort). PRIMARY AND SECONDARY OUTCOME MEASURES The incidence and the cumulative incidence of pneumothorax. RESULTS Both incidence and the cumulative incidence of pneumothorax were significantly higher in the pneumoconiosis patients as compared with the control subjects (p<0.0001). For multivariable Cox regression analysis adjusted for age, sex, residency, income level and other comorbidities, patients with pneumoconiosis exhibited a significantly higher risk of pneumothorax than those without pneumoconiosis (HR 3.05, 95% CI 2.18 to 4.28, p<0.0001). The male sex, heart disease, peripheral vascular disease, chronic pulmonary disease and connective tissue disease were risk factors for developing pneumothorax in pneumoconiosis patients. CONCLUSIONS Our study revealed a higher risk of pneumothorax in pneumoconiosis patients and suggested potential risk factors in these patients. Clinicians should be aware about the risk of pneumothorax in pneumoconiosis patients.
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Affiliation(s)
- Jo-Hui Pan
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chih-Hung Cheng
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chao-Ling Wang
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Yen Dai
- Department of Occupational and Environmental Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chau-Chyun Sheu
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Respiratory Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Ju Tsai
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Respiratory Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jen-Yu Hung
- Graduate Institute of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Respiratory Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Internal Medicine, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Inn-Wen Chong
- Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
- Department of Respiratory Care, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
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Kida H, Muraoka H, Morikawa K, Inoue T, Mineshita M. Pleurodesis After Bronchial Occlusion for Inoperable Secondary Spontaneous Pneumothorax. J Bronchology Interv Pulmonol 2021; 28:290-295. [PMID: 34191760 DOI: 10.1097/lbr.0000000000000785] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 05/25/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND In many cases of secondary spontaneous pneumothorax (SSP), surgery is not feasible. Furthermore, in cases with a collapsed lung or numerous air leaks, pleurodesis is ineffective, and treatment options are severely limited. For these cases, bronchial occlusion might be the only effective treatment, despite the low success rate. If, however, bronchial occlusion can expand the lung and reduce air leakage, it can positively amplify later effects on pleurodesis, resulting in a powerful treatment. We reviewed the clinical data of patients who underwent bronchial occlusion with endobronchial Watanabe spigot (BO-EWS) and pleurodesis to investigate the usefulness of bronchial occlusion therapy in inoperable SSP patients. MATERIALS AND METHODS This single-center, retrospective study reviewed 36 cases of inoperable SSP patients who underwent pleurodesis after BO-EWS from April 2007 to October 2018. Twenty cases were allocated to the air leak analysis group, and 16 cases were included in the pneumothorax volume analysis group. The Robert David Cerfolio classification and the Collins method were used to evaluate air leak and pneumothorax volume, respectively. RESULTS Pneumothorax volumes decreased significantly after BO-EWS from 29.1%±17.3% to 12.1%±8.8%, while the air leak score decreased from 2.9±1.4 to 1.2±1.0. The success rate for chest tube removals in cases that underwent pleurodesis after BO-EWS was 85.0% (17/20). CONCLUSIONS This study demonstrated the synergistic effectiveness of BO-EWS and the usefulness of pleurodesis treatment in inoperable SSP patients with lung collapse or numerous air leaks. We believe that this treatment will benefit patients with inoperable SSP which, until now, has had few treatment options.
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Affiliation(s)
- Hirotaka Kida
- Department of Internal Medicine, Division of Respiratory Diseases, St. Marianna University School of Medicine, Kawasaki
| | - Hiromi Muraoka
- Department of Internal Medicine, Division of Respiratory Medicine, St. Marianna University School of Medicine, Yokohama City Seibu Hospital, Yokohama, Japan
| | - Kei Morikawa
- Department of Internal Medicine, Division of Respiratory Diseases, St. Marianna University School of Medicine, Kawasaki
| | - Takeo Inoue
- Department of Internal Medicine, Division of Respiratory Diseases, St. Marianna University School of Medicine, Kawasaki
| | - Masamichi Mineshita
- Department of Internal Medicine, Division of Respiratory Diseases, St. Marianna University School of Medicine, Kawasaki
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Hu K, Chopra A, Kurman J, Huggins JT. Management of complex pleural disease in the critically ill patient. J Thorac Dis 2021; 13:5205-5222. [PMID: 34527360 PMCID: PMC8411157 DOI: 10.21037/jtd-2021-31] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Accepted: 06/21/2021] [Indexed: 11/08/2022]
Abstract
Disorders of the pleural space are quite common in the critically ill patient. They are generally associated with the underlying illness. It is sometimes difficult to assess for pleural space disorders in the ICU given the instability of some patients. Although the portable chest X-ray remains the primary modality of diagnosis for pleural disorders in the ICU. It can be nonspecific and may miss subtle findings. Ultrasound has become a useful tool to the bedside clinician to aid in diagnosis and management of pleural disease. The majority of pleural space disorders resolve as the patient’s illness improves. There remain a few pleural processes that need specific therapies. While uncomplicated parapneumonic effusions do not have their own treatments. Those that progress to become a complex infected pleural space can have its individual complexity in therapy. Chest tube drainage remains the cornerstone in therapy. The use of intrapleural fibrinolytics has decreased the need for surgical referral. A large hemothorax or pneumothorax in patients admitted to the ICU represent medical emergencies and require emergent action. In this review we focus on the management of commonly encountered complex pleural space disorders in critically ill patients such as complicated pleural space infections, hemothoraces and pneumothoraces.
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Affiliation(s)
- Kurt Hu
- Division of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - Amit Chopra
- Division of Pulmonary and Critical Care Medicine, Albany Medical College, Albany, NY, USA
| | - Jonathan Kurman
- Division of Pulmonary and Critical Care Medicine, Medical College of Wisconsin, Milwaukee, WI, USA
| | - J Terrill Huggins
- Division of Pulmonary, Critical Care, and Sleep Medicine, Medical University of South Carolina, Charleston, SC, USA
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Thachuthara-George J. Pneumothorax in patients with respiratory failure in ICU. J Thorac Dis 2021; 13:5195-5204. [PMID: 34527359 PMCID: PMC8411185 DOI: 10.21037/jtd-19-3752] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 02/24/2021] [Indexed: 11/15/2022]
Abstract
Pneumothorax is not an uncommon occurrence in ICU patients. Barotrauma and iatrogenesis remain the most common causes for pneumothorax in critically ill patients. Patients with underlying lung disease are more prone to develop pneumothorax, especially if they require positive pressure ventilation. A timely diagnosis of pneumothorax is critical as it may evolve into tension physiology. Most occurrences of pneumothoraces are readily diagnosed with a chest X-ray. Tension pneumothorax is a medical emergency, and managed with immediate needle decompression followed by tube thoracostomy. A computed tomography (CT) scan of the chest remains the gold standard for diagnosis; however, getting a CT scan of the chest in a critically ill patient can be challenging. The use of thoracic ultrasound has been emerging and is proven to be superior to chest X-ray in making a diagnosis. The possibility of occult pneumothorax in patients with thoracoabdominal blunt trauma should be kept in mind. Patients with pneumothorax in the ICU should be managed with a tube thoracostomy if they are symptomatic or on mechanical ventilation. The current guidelines recommend a small-bore chest tube as the first line management of pneumothorax. In patients with persistent air leak or whose lungs do not re-expand, a thoracic surgery consultation is recommended. In non-surgical candidates, bronchoscopic interventions or autologous blood patch are other options.
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Affiliation(s)
- Joseph Thachuthara-George
- Interventional Pulmonary Program, Division of Pulmonary, Allergy, and Critical Care Medicine, UAB, The University of Alabama at Birmingham, Birmingham, AL, USA
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Tang D, Liu Q, Chen C, Zhu W. Pneumothorax after shoulder arthroscopy: a case report and literature review. JSES REVIEWS, REPORTS, AND TECHNIQUES 2021; 1:194-197. [PMID: 37588967 PMCID: PMC10426485 DOI: 10.1016/j.xrrt.2021.04.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 08/18/2023]
Affiliation(s)
- Dezhou Tang
- Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Qian Liu
- Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Chen Chen
- Department of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, P. R. China
| | - Weihong Zhu
- Department of Orthopaedics, The Second Xiangya Hospital, Central South University, Changsha, P. R. China
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Hapsari N, Yudhawati R. Bilateral primary spontaneous pneumothorax with multiple bleb performed by VATS and wedge resection: A rare case in Indonesian adult and review article. Int J Surg Case Rep 2021; 85:106222. [PMID: 34304085 PMCID: PMC8327650 DOI: 10.1016/j.ijscr.2021.106222] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Revised: 07/05/2021] [Accepted: 07/17/2021] [Indexed: 11/17/2022] Open
Abstract
Background Bilateral primary spontaneous pneumothorax (PSP) is a rare case of lung disease. Case presentation A 20-year-old man with a complaint of shortness of breath is suspected of having PSP and tuberculosis. The patient underwent water seal drainage installation in both lung cavities, but showed no improvement. Multiple blebs were found after a few days. A wedge resection with VATS became an option. The patient had improved lung function after the procedure. Discussion The WSD installation showed lungs improvement. However, when trained for lung expansion, the lung condition became bad. After wedge resection with the help of VATS on multiple blebs, the lung had a significant improvement. Conclusion Wedge resection could be considered in PSP patients with multiple blebs.
The prevalence of bilateral primary spontaneous pneumothorax (PSP) is very low, around 1–2%. Multiple blebs in bilateral PSP patients indicate the need for surgery. PSP is often found in young adults.
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Affiliation(s)
- Nisya Hapsari
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga - Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
| | - Resti Yudhawati
- Department of Pulmonology and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga - Dr. Soetomo General Academic Hospital, Surabaya, Indonesia.
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Namwaing P, Chaisuksant S, Sawadpanich R, Anukunananchai T, Timinkul A, Sakaew W, Sawunyavisuth B, Sukeepaisarnjaroen W, Khamsai S, Sawanyawisuth K. Oxygen saturation associated with recurrent primary spontaneous pneumothorax treated with an intercostal chest drainage. Asian J Surg 2021; 45:431-434. [PMID: 34312054 DOI: 10.1016/j.asjsur.2021.07.021] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 07/12/2021] [Accepted: 07/16/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Primary spontaneous pneumothorax (PSP) is a condition that may lead to acute chest pain or dyspnea on exertion. Treatment with an intercostal chest drainage (ICD) is warranted. There is limited data on risk factors of recurrent PSP in patients treated with the ICD alone. This study aimed to evaluate risk factors of recurrent PSP in patients with PSP and treated with the ICD. METHODS This was a retrospective study and enrolled patients diagnosed as PSP and treated with an ICD. Eligible patients were divided into two groups by evidence of recurrent PSP. Baseline characteristics, physical signs, laboratory results, and duration of ICD treatment were studied and recorded from medical charts. Factors associated with recurrent PSP were computed by using multivariate logistic regression analysis. RESULTS There were 80 patients met the study criteria. Of those, 21 patients (26.3%) had recurrent PSP. Of those, 21 patients (26.3%) had recurrent PSP. There were eight factors in the final model for recurrent PSP. Only oxygen saturation at the time of diagnosis was independently associated with recurrent PSP. The adjusted odds ratio (95% confident interval) was 0.57 (0.34, 0.96). A cut point of 96% of oxygen saturation gave sensitivity of recurrent PSP of 80.95%. CONCLUSION The prevalence of recurrent PSP was 26.3% in patients with PSP and treated with the ICD. Initial oxygen saturation may be an indicator for recurrent PSP.
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Affiliation(s)
- Puthachad Namwaing
- Khon Kaen Hospital, Khon Kaen, Thailand; Exercise and Sport Sciences Program, Graduate School, Khon Kaen University, Khon Kaen, Thailand
| | | | | | | | - Akkaranee Timinkul
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Waraporn Sakaew
- Department of Anatomy, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand
| | - Bundit Sawunyavisuth
- Department of Marketing, Faculty of Business Administration and Accountancy, Khon Kaen University, Khon Kaen, Thailand
| | | | - Sittichai Khamsai
- Department of Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
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Abedalla A, Abdullah M, Al-Ayyoub M, Benkhelifa E. Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architectures. PeerJ Comput Sci 2021; 7:e607. [PMID: 34307860 PMCID: PMC8279140 DOI: 10.7717/peerj-cs.607] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 05/31/2021] [Indexed: 06/09/2023]
Abstract
Medical imaging refers to visualization techniques to provide valuable information about the internal structures of the human body for clinical applications, diagnosis, treatment, and scientific research. Segmentation is one of the primary methods for analyzing and processing medical images, which helps doctors diagnose accurately by providing detailed information on the body's required part. However, segmenting medical images faces several challenges, such as requiring trained medical experts and being time-consuming and error-prone. Thus, it appears necessary for an automatic medical image segmentation system. Deep learning algorithms have recently shown outstanding performance for segmentation tasks, especially semantic segmentation networks that provide pixel-level image understanding. By introducing the first fully convolutional network (FCN) for semantic image segmentation, several segmentation networks have been proposed on its basis. One of the state-of-the-art convolutional networks in the medical image field is U-Net. This paper presents a novel end-to-end semantic segmentation model, named Ens4B-UNet, for medical images that ensembles four U-Net architectures with pre-trained backbone networks. Ens4B-UNet utilizes U-Net's success with several significant improvements by adapting powerful and robust convolutional neural networks (CNNs) as backbones for U-Nets encoders and using the nearest-neighbor up-sampling in the decoders. Ens4B-UNet is designed based on the weighted average ensemble of four encoder-decoder segmentation models. The backbone networks of all ensembled models are pre-trained on the ImageNet dataset to exploit the benefit of transfer learning. For improving our models, we apply several techniques for training and predicting, including stochastic weight averaging (SWA), data augmentation, test-time augmentation (TTA), and different types of optimal thresholds. We evaluate and test our models on the 2019 Pneumothorax Challenge dataset, which contains 12,047 training images with 12,954 masks and 3,205 test images. Our proposed segmentation network achieves a 0.8608 mean Dice similarity coefficient (DSC) on the test set, which is among the top one-percent systems in the Kaggle competition.
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Affiliation(s)
- Ayat Abedalla
- Computer Science, Jordan University of Science and Technology, Irbid, Jordan
| | - Malak Abdullah
- Computer Science, Jordan University of Science and Technology, Irbid, Jordan
| | - Mahmoud Al-Ayyoub
- Computer Science, Jordan University of Science and Technology, Irbid, Jordan
| | - Elhadj Benkhelifa
- Smart Systems, AI and Cybersecurity Research Centre, Staffordshire University, Stoke on Trent, UK
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Alsaggaf M, Khalofa A, Khosla R. Delayed Pneumothorax Post Transbronchial Biopsy: A Case Report. Cureus 2021; 13:e14614. [PMID: 34040914 PMCID: PMC8139839 DOI: 10.7759/cureus.14614] [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] [Accepted: 01/03/2021] [Indexed: 11/23/2022] Open
Abstract
Bronchoscopy is a common and safe procedure with low mortality rates and complications. The risk of pneumothorax (PTX) post bronchoscopy is estimated to be 0.1% but increases to 1-6% with the addition of transbronchial lung biopsy (TBB) to the procedure. Studies have shown that a short observation period is adequate after TBB, and the usual practice is to perform a portable chest radiograph (CXR) to rule out PTX. Delayed PTX is a rare complication post-TBB and very few cases have been reported in the literature. In this report, we discuss a patient with delayed PTX 48 hours post-TBB. A 71-year-old male with a history of malignancy of unknown primary with metastasis to the sacrum and vertebral column presented with lower limb weakness status post-palliative radiation to the spine. His sacral lesion biopsy was inconclusive. He was currently on oral steroids. He was noted to have a left upper lobe lung nodule on a CT scan of the chest. He underwent bronchoscopy with TBB to determine if it was a primary lung malignancy. He was stable post-procedure with an unremarkable CXR for PTX and was discharged with outpatient follow-up. Two days later, he presented to the emergency department with shortness of breath and hypoxemia. A CXR was performed, which showed a left-sided PTX. A chest tube was placed, and a follow-up CXR showed lung immediate re-expansion. The chest tube was removed after two days and the patient was discharged home after a total of four days of hospitalization. Iatrogenic PTX can be due to diagnostic and/or therapeutic interventions. PTX after procedures can be classified as acute (one to four hours post-procedure) or delayed (>4 hours post-procedure). It is recommended to have a CXR within an hour post-TBB. To our knowledge, very few cases of delayed PTX post-TBB have been reported, mostly among lung transplant patients and those with chronic infections such as tuberculosis. In prior reports, it has been speculated that a visceral pleural defect might occur during a biopsy, but is protected by blood clot formation in the proximal bronchus. A PTX then occurs after fibrinolysis of the blood clot. Low immunity and poor wound healing due to chronic inflammation or steroid use can play a role in causing a delayed PTX. Also, the use of pain drugs such as opioids is associated with iatrogenic PTX. Patients with underlying lung disease such as emphysema are more prone to developing a PTX. Another hypothesis is that a tissue flap is created after the biopsy, which obstructs the airflow during exhalation, thereby resulting in a PTX. On the other hand, it is known that lung malignancies, either primary or metastatic, can increase the risk of secondary PTX. In our case, the temporal relationship of the delayed PTX with bronchoscopy makes it more likely that it was related to the lung biopsy (in our case, poorly differentiated non-small cell carcinoma). The underlying malignancy with low immunity, chronic tissue inflammation, and current steroid use may have resulted in delayed lung healing at the biopsy site. This case report highlights the importance of considering delayed PTX among high-risk patients who undergo such procedures. Delayed PTX is a rare complication post-TBB and should be considered in patients who are stable post-procedure but present with dyspnea and/or hypoxemia even days after the procedure.
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Affiliation(s)
- Mohammed Alsaggaf
- Pulmonary and Critical Care Medicine, George Washington University, Washington, DC, USA
| | - Ali Khalofa
- Pulmonary and Critical Care Medicine, George Washington University, Washington, DC, USA
| | - Rahul Khosla
- Pulmonary and Critical Care Medicine, Veterans Affairs Medical Center, Washington, DC, USA
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