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van den Berk IAH, Jacobs C, Kanglie MMNP, Mets OM, Snoeren M, Montauban van Swijndregt AD, Taal EM, van Engelen TSR, Prins JM, Bipat S, Bossuyt PMM, Stoker J. An AI deep learning algorithm for detecting pulmonary nodules on ultra-low-dose CT in an emergency setting: a reader study. Eur Radiol Exp 2024; 8:132. [PMID: 39565453 PMCID: PMC11579269 DOI: 10.1186/s41747-024-00518-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 09/20/2024] [Indexed: 11/21/2024] Open
Abstract
BACKGROUND To retrospectively assess the added value of an artificial intelligence (AI) algorithm for detecting pulmonary nodules on ultra-low-dose computed tomography (ULDCT) performed at the emergency department (ED). METHODS In the OPTIMACT trial, 870 patients with suspected nontraumatic pulmonary disease underwent ULDCT. The ED radiologist prospectively read the examinations and reported incidental pulmonary nodules requiring follow-up. All ULDCTs were processed post hoc using an AI deep learning software marking pulmonary nodules ≥ 6 mm. Three chest radiologists independently reviewed the subset of ULDCTs with either prospectively detected incidental nodules in 35/870 patients or AI marks in 458/870 patients; findings scored as nodules by at least two chest radiologists were used as true positive reference standard. Proportions of true and false positives were compared. RESULTS During the OPTIMACT study, 59 incidental pulmonary nodules requiring follow-up were prospectively reported. In the current analysis, 18/59 (30.5%) nodules were scored as true positive while 104/1,862 (5.6%) AI marks in 84/870 patients (9.7%) were scored as true positive. Overall, 5.8 times more (104 versus 18) true positive pulmonary nodules were detected with the use of AI, at the expense of 42.9 times more (1,758 versus 41) false positives. There was a median number of 1 (IQR: 0-2) AI mark per ULDCT. CONCLUSION The use of AI on ULDCT in patients suspected of pulmonary disease in an emergency setting results in the detection of many more incidental pulmonary nodules requiring follow-up (5.8×) with a high trade-off in terms of false positives (42.9×). RELEVANCE STATEMENT AI aids in the detection of incidental pulmonary nodules that require follow-up at chest-CT, aiding early pulmonary cancer detection but also results in an increase of false positive results that are mainly clustered in patients with major abnormalities. TRIAL REGISTRATION The OPTIMACT trial was registered on 6 December 2016 in the National Trial Register (number NTR6163) (onderzoekmetmensen.nl). KEY POINTS An AI deep learning algorithm was tested on 870 ULDCT examinations acquired in the ED. AI detected 5.8 times more pulmonary nodules requiring follow-up (true positives). AI resulted in the detection of 42.9 times more false positive results, clustered in patients with major abnormalities. AI in the ED setting may aid in early pulmonary cancer detection with a high trade-off in terms of false positives.
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Affiliation(s)
- Inge A H van den Berk
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands.
| | - Colin Jacobs
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Maadrika M N P Kanglie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Department of Radiology, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Onno M Mets
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Miranda Snoeren
- Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Elisabeth M Taal
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Tjitske S R van Engelen
- Division of Infectious Diseases, Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Jan M Prins
- Division of Infectious Diseases, Department of Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Shandra Bipat
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Patrick M M Bossuyt
- Department of Epidemiology & Data Science, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Amsterdam Public Health, Methodology, Amsterdam, The Netherlands
| | - Jaap Stoker
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
- Cancer Center Amsterdam, Imaging and Biomarkers, Amsterdam, The Netherlands
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Abunamous NA, Takelah A, Abdilsalhen M, Alameeri A, Al Nokhatha S. Emergence of Incidentalomas Following Chest CT Screening for COVID-19 Infection: A Multicenter Cross-Sectional Study. Cureus 2024; 16:e71861. [PMID: 39559646 PMCID: PMC11572597 DOI: 10.7759/cureus.71861] [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: 10/19/2024] [Indexed: 11/20/2024] Open
Abstract
Background The COVID-19 pandemic has raised several questions about its potential long-term impacts. During the pandemic, computed tomography (CT) chest scans were frequently employed for the diagnosis of COVID-19 pneumonia. The increased utilization of CT scans as a diagnostic tool has facilitated the detection of subtle abnormalities that may not have been easily discernible previously. Aim The primary objective of the present study was to investigate the prevalence of non-COVID-19 lung incidental pathologies in chest CT scans performed to screen for COVID-19, with a focus on autoimmune conditions related to interstitial lung disease (ILD) following COVID-19 infection, as determined by positive chest CT results. Methods This retrospective observational study included all adult patients (aged ≥ 16 years) in Al Ain, a city in the United Arab Emirates, between June 2020 and June 2021. Patients who underwent high-resolution computed tomography (HRCT) or chest CT during this timeframe and exhibited lung pathologies beyond the typical changes associated with COVID-19 infection followed by at least one pulmonary consultation were eligible for inclusion while all typical COVID-19-related changes reported in lung pathologies were excluded from consideration in this study. The hospital's electronic medical system was used to obtain patient information and subsequent management approaches. Results Among a total of 3,000 CT scan reports, 318 individuals fit our inclusion criteria. Their mean age was 63 years, and 52% were female (n = 165). Of the patients, 12% (n = 38) were smokers and 17% (n = 54) were ex-smokers. A total of 231 (72.6%) of the patients exhibited incidental lung nodules while 87 (27.4%) displayed lung pathologies other than lung nodules, with 75 (23.6%) being diagnosed with pleural effusion, 63 (19.8%) with bronchiectasis, and 19 (5.9%) with emphysema. Furthermore, three patients (0.9%) had cavitary lung lesions and one was diagnosed with tuberculosis while two others were undergoing surveillance follow-up. Only one patient (0.3%) was identified with a lung mass, which was attributed to primary lung adenocarcinoma. The remaining eight patients (2.5%) had ILD findings (two had non-specific interstitial pneumonia, five had usual interstitial pneumonia, and one had hypersensitivity pneumonitis). All of the patients with ILD findings underwent investigations for autoimmune-related ILD; however, no cases of autoimmune-related conditions were identified during the subsequent follow-up. Conclusions This cross-sectional chest CT-based study provides insights into incidental lung abnormalities. A small percentage (10.6%) of the participants exhibited lung incidentalomas.
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Affiliation(s)
| | | | | | | | - Shamma Al Nokhatha
- Rheumatology, Tawam Hospital - College of Medicine and Health Sciences, UAE University, Al Ain, ARE
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3
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Helvacı BC, Ozdemir D, Turan K, Keskin C, İmga NN, Dirikoc A, Topaloglu O, Ersoy R, Cakir B. Incidental thyroid nodules on COVID-19-related thoracic tomography scans: a giant cohort. Hormones (Athens) 2024; 23:227-233. [PMID: 38103164 DOI: 10.1007/s42000-023-00516-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/01/2023] [Accepted: 12/06/2023] [Indexed: 12/17/2023]
Abstract
INTRODUCTION Computerized thoracic tomography (CT) imaging was extensively employed, especially in the early months of the COVID-19 pandemic. An incidental thyroid nodule (ITN) is defined as a nodule not previously detected or suspected clinically but identified via an imaging study. The present study aimed to determine the incidence of thyroid nodules incidentally detected in thoracic CTs for the suspicion of COVID-19 pneumonia. MATERIALS AND METHODS Adult patients who underwent thoracic CT in our hospital for COVID-19 management were retrospectively identified between March 2020 and September 2020. Medical information registered in the hospital and national health system was reviewed. The prevalence of incidental thyroid nodules at CT, thyroid function test results of patients with incidental lesions, correlation of CT findings with ultrasonography (US) findings, and fine-needle aspiration biopsy (FNAB) results were evaluated. RESULTS We analyzed 35,113 patients who had COVID-19-indicated CT scans. There was information about the thyroid gland in CT reports of 3049 patients. The prevalence of ITN was 3.82% (1343/35,113 patients) and thyroid heterogeneity was 1.11% (388/35,113 patients). While it was explicitly stated that no pathology was found in the patient's thyroid gland in 3.75% of patients (1318/35,113), no information was given about the thyroid gland in 91.32% of the patients (32064/35,113). Thus, the number of patients informed about their thyroid was 3049 (8.68%) and the number of patients with thyroid pathology was 1731 (4.93%). It was observed that 308 of 1731 patients (17.80%) had follow-up thyroid US. An FNAB was indicated in 238 patients (87.50%). Of the 238 patients with indication for biopsy, only 115 (48.31%) underwent a thyroid FNAB. The cytological diagnosis was benign in 59 (51.30%), non-diagnostic in 30 (26.08%), atypia of uncertain significance in 22 (19.13%), and suspected follicular neoplasia/follicular neoplasia in four patients (3.46%). Thyroidectomy was performed in six more patients due to large nodules and the final diagnosis was benign in two and papillary thyroid cancer in three patients. CONCLUSION Increased use of thoracic CT during the COVID-19 pandemic probably enabled improved detection of ITNs. In this large-scale study, the prevalence of thyroid nodules reported with thoracic CT was 3.82%, while thyroid cancer was detected in 1.30% of patients evaluated with US. We recommend against using thoracic CT scans as a direct means of assessing thyroid disease owing to the low number of detected cancer cases in our cohort of 35,113 patients. However, thoracic CT scans obtained for various reasons might provide the opportunity for early diagnosis and treatment of thyroid disease, including cancers.
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Affiliation(s)
| | - Didem Ozdemir
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
- Department of Endocrinology and Metabolism, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
| | - Kubra Turan
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
- Department of Endocrinology and Metabolism, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
| | - Caglar Keskin
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
| | - Narin Nasiroglu İmga
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
| | - Ahmet Dirikoc
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
- Department of Endocrinology and Metabolism, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
| | - Oya Topaloglu
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
- Department of Endocrinology and Metabolism, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
| | - Reyhan Ersoy
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
- Department of Endocrinology and Metabolism, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
| | - Bekir Cakir
- Department of Endocrinology and Metabolism, Ankara City Hospital, Ankara, Turkey
- Department of Endocrinology and Metabolism, Ankara Yıldırım Beyazıt University Faculty of Medicine, Ankara, Turkey
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Tal Tamir H, Stav D, Hadad Y, Kessner R. Thyroid nodule characterization using Spectral Detector Computed Tomography (SDCT) in comparison to ultrasound. Eur J Radiol 2024; 170:111213. [PMID: 38006615 DOI: 10.1016/j.ejrad.2023.111213] [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: 08/07/2023] [Revised: 11/13/2023] [Accepted: 11/20/2023] [Indexed: 11/27/2023]
Abstract
OBJECTIVE To characterize thyroid nodules seen on Spectral Detector computed tomography (SDCT) in respect to their Thyroid Imaging Reporting and Data System (TI-RADS) category on Ultrasound (US). METHODS We included patients that underwent US examination for the evaluation of thyroid nodules and contrast-enhanced SDCT examination of the neck/thorax, between the years 2018-2020. The SDCT and US were performed within 6 months of each other. Only patients with a visible thyroid nodule on SDCT were included. Attenuation measurements of the nodules in Hounsfield units (HU) were performed on the conventional CT images, virtual non-contrast (VNC) images and virtual monoenergetic images of 40 keV and 100 keV. The Iodine concentration, spectral slope and enhancement estimation results of the nodules were measured. We compared the spectral results between two groups of nodules, according to the US report: TI-RADS 2-3 and TI-RADS 4-5 groups. RESULTS Thirty-eight nodules were included in the study, 22 nodules in the TI-RADS 2-3 group and 16 in the TI-RADS 4-5 group. The nodules of the TI-RADS 4-5 group had significantly higher Iodine concentration measurement, 4.6 ± 1.8 mg/ml, compared to 2.3 ± 1.2 mg/ml in the TI-RADS 2-3 group; significantly higher estimated enhancement, 3.9 ± 1.5, compared to 2.2 ± 0.7; and significantly higher calculated spectral slope, 5.6 ± 2.2 compared to 2.9 ± 1.5 (p < 0.001). CONCLUSION Spectral results of SDCT may assist in differentiating intermediate-high risk (TI-RADS 4-5) from low risk (TI-RADS 2-3) thyroid nodules. ADVANCES IN KNOWLEDGE SDCT offers additional information for the characterization of thyroid nodules.
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Affiliation(s)
- Hila Tal Tamir
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Dana Stav
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Yitzhac Hadad
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel
| | - Rivka Kessner
- Department of Radiology, Tel Aviv Sourasky Medical Center, 6 Weizmann Street, Tel Aviv 6423906, Israel; Department of Diagnostic Imaging, Faculty of Medicine, Tel Aviv University, P.O. Box 39040, Tel Aviv 6997801, Israel.
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Valluri S, Lakshmi HN, Sunkavalli C. Incidental Findings in CT Scans on Screening for COVID-19. Indian J Surg Oncol 2023; 14:318-323. [PMID: 36320861 PMCID: PMC9607659 DOI: 10.1007/s13193-022-01669-6] [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: 08/21/2022] [Accepted: 10/14/2022] [Indexed: 11/07/2022] Open
Abstract
Incidentalomas on computed tomography (CT) scans are incidental or unsuspected findings that are detected when obtaining a CT examination for an unrelated reason. Incidentalomas on CT scans are common. This study was conducted to examine the rates of incidental findings on CT chest in patients who were screened for COVID-19. Three thousand one hundred ninety-one CT scans were assessed for incidental findings. These CT scans were taken from an urban diagnostics laboratory in Hyderabad (IN) over a period of 2 months (April to May 2021) when the COVID-19 s wave peaked. Data from these reports were tabulated with demographic information and findings. Out of 3191 scans, 277 (8.68%) showed incidental findings, the most common of which was lung nodules and other individual findings. There were 6 total malignancies detected and a further 92 cases that required follow-up. CT scans are important for the detection of incidental findings. Care should be taken to follow up on patients with incidental findings that are undetermined to catch a lesion in the early stage.
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Gao X, Ran X, Ding W. The progress of radiomics in thyroid nodules. Front Oncol 2023; 13:1109319. [PMID: 36959790 PMCID: PMC10029726 DOI: 10.3389/fonc.2023.1109319] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 02/03/2023] [Indexed: 03/09/2023] Open
Abstract
Due to the development of Artificial Intelligence (AI), Machine Learning (ML), and the improvement of medical imaging equipment, radiomics has become a popular research in recent years. Radiomics can obtain various quantitative features from medical images, highlighting the invisible image traits and significantly enhancing the ability of medical imaging identification and prediction. The literature indicates that radiomics has a high potential in identifying and predicting thyroid nodules. So in this article, we explain the development, definition, and workflow of radiomics. And then, we summarize the applications of various imaging techniques in identifying benign and malignant thyroid nodules, predicting invasiveness and metastasis of thyroid lymph nodes, forecasting the prognosis of thyroid malignancies, and some new advances in molecular level and deep learning. The shortcomings of this technique are also summarized, and future development prospects are provided.
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Affiliation(s)
| | - Xuan Ran
- *Correspondence: Wei Ding, ; Xuan Ran,
| | - Wei Ding
- *Correspondence: Wei Ding, ; Xuan Ran,
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Li SJ, Wu Q. Endobronchial ultrasound-guided transbronchial needle aspiration in intrathoracic lymphadenopathy with extrathoracic malignancy. World J Clin Cases 2022; 10:13227-13238. [PMID: 36683624 PMCID: PMC9851006 DOI: 10.12998/wjcc.v10.i36.13227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/07/2022] [Revised: 11/07/2022] [Accepted: 12/05/2022] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for the diagnosis of mediastinal and hilar lymph is poorly studied in patients with extrathoracic malignancies.
AIM To evaluate the value of EBUS-TBNA for the diagnosis of enlarged intrathoracic lymph nodes in patients with extrathoracic malignancies.
METHODS This was a retrospective study of patients with extrathoracic malignancies who were referred to Peking University Cancer Hospital from January 2013 to December 2018 for EBUS-TBNA due to intrathoracic lymphadenopathy. The specimens were defined as positive for malignancy, negative for non-malignancy (tuberculosis, sarcoidosis, etc.), and without a definitive diagnosis. Sensitivity, negative predictive value (NPV) for malignancy, and overall accuracy were calculated. Complications were recorded.
RESULTS A total of 80 patients underwent EBUS-TBNA and had a final diagnosis, among which 50 (62.5%) were diagnosed with extrathoracic malignancy with intrathoracic lymph nodes metastasis, 14 (17.5%) were diagnosed with primary lung cancer with nodal involvement, and 16 (20.0%) exhibited benign behavior including tuberculosis, sarcoidosis and reactive lymphadenitis or who had benign follow-up. The diagnostic sensitivity, NPV, and accuracy of EBUS-TBNA for intrathoracic lymphadenopathy in patients with extrathoracic malignancy were 93.8% (n = 60/64), 80.0% (n = 16/20), and 95.0% (n = 76/80), respectively. In the multivariate analysis, longer short axis of the lymph node (OR: 1.200, 95%CI: 1.024-1.407; P = 0.024) and synchronous lung lesion (OR: 19.449, 95%CI: 1.875-201.753; P = 0.013) were independently associated with malignant intrathoracic lymphadenopathy. No characteristics of the lymph nodes and EBUS-TBNA were associated with the location of malignant intrathoracic lymphadenopathy, and no major complication was observed.
CONCLUSION EBUS-TBNA is a simple and accurate procedure for the diagnosis of intrathoracic lymphadenopathy with extrathoracic malignancy.
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Affiliation(s)
- Shi-Jie Li
- Endoscopy Center, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing 100142, China
| | - Qi Wu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing 100142, China
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Liu F, Dai L, Wang Y, Liu M, Wang M, Zhou Z, Qi Y, Chen R, OuYang S, Fan Q. Derivation and validation of a prediction model for patients with lung nodules malignancy regardless of mediastinal/hilar lymphadenopathy. J Surg Oncol 2022; 126:1551-1559. [PMID: 35993806 DOI: 10.1002/jso.27072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2022] [Revised: 06/15/2022] [Accepted: 08/12/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Clinical prediction models to classify lung nodules often exclude patients with mediastinal/hilar lymphadenopathy, although the presence of mediastinal/hilar lymphadenopathy does not always indicate malignancy. Herein, we developed and validated a multimodal prediction model for lung nodules in which patients with mediastinal/hilar lymphadenopathy were included. METHODS A single-center retrospective study was conducted. We developed and validated a logistic regression model including patients with mediastinal/hilar lymphadenopathy. Discrimination of the model was assessed by area under the operating curve. Goodness of fit test was performed via the Hosmer-Lemeshow test, and a nomogram of the logistic regression model was drawn. RESULTS There were 311 cases included in the final analysis. A logistic regression model was developed and validated. There were nine independent variables included in the model. The aera under the curve (AUC) of the validation set was 0.91 (95% confidence interval [CI]: 0.85-0.98). In the validation set with mediastinal/hilar lymphadenopathy, the AUC was 0.95 (95% CI: 0.90-0.99). The goodness-of-fit test was 0.22. CONCLUSIONS We developed and validated a multimodal risk prediction model for lung nodules with excellent discrimination and calibration, regardless of mediastinal/hilar lymphadenopathy. This broadens the application of lung nodule prediction models. Furthermore, mediastinal/hilar lymphadenopathy added value for predicting lung nodule malignancy in clinical practice.
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Affiliation(s)
- Fenghui Liu
- Department of Respiratory and Sleep Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Liping Dai
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Yulin Wang
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Man Liu
- Henan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, Henan, China
| | - Meng Wang
- Department of Imaging and Nuclear Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Zhigang Zhou
- Department of Imaging and Nuclear Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Yu Qi
- Department of Thoracic Surgery in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Ruiying Chen
- Department of Respiratory and Sleep Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Songyun OuYang
- Department of Respiratory and Sleep Medicine in the First Affiliated Hospital, Zhengzhou University, Zhengzhou, Henan, China
| | - Qingxia Fan
- Department of Oncology in the First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
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Prevalence and Clinical Impact of Incidental Findings on Preoperative 3D Planning Computed Tomography for Total Shoulder Arthroplasty. J Am Acad Orthop Surg Glob Res Rev 2022; 6:01979360-202208000-00003. [PMID: 35944103 PMCID: PMC9359811 DOI: 10.5435/jaaosglobal-d-21-00291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 06/16/2022] [Indexed: 11/24/2022]
Abstract
Introduction: 3D planning software for shoulder arthroplasty recently emerged for aiding in intraoperative determination of native glenoid. These protocols often require increased scan resolution, however, raising the question of an increased prevalence and clinical impact of incidental findings (IFs) from preoperative imaging. Methods: A retrospective review of preoperative shoulder CT reports was conducted for 333 consecutive patients planning anatomic or reverse total shoulder arthroplasties. Patients with thin-sliced CT scans (1.25 mm) were compared with those with standard CT scans (2.5 mm). Poisson regression was performed with baseline characteristics and potentially pathologic IFs (PPIFs). Results: IFs were present in 131 of the 333 scans (39.3%), and 38 of the 333 scans (11.4%) included PPIFs. Only 8 of the 333 scans (2.4%) required workup, with 2 of the 333 (0.6%) leading to new cancer diagnoses. Thin-sliced CT scans detected a higher mean number of IFs (1.12 versus 0.22, P < 0.001) while the mean number of PPIFs remained similar (0.13 versus 0.10, P = 0.43). Conclusion: IFs are frequent; however, only 0.6% scans led to new cancer diagnoses. Comparison of thin-sliced with standard CT scans revealed a higher frequency of IFs but similar PPIFs, indicating increased burden of IFs without the benefit of identifying additional malignancies. As demand rises for shoulder arthroplasties, surgeons should consider the potential hidden costs of IFs when using 3D planning programs.
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Lee JC, Delaney FT. Prevalence and clinical significance of incidental findings on CT attenuation correction for myocardial perfusion imaging. J Nucl Cardiol 2022; 29:1813-1822. [PMID: 33754302 DOI: 10.1007/s12350-020-02499-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2020] [Accepted: 12/07/2020] [Indexed: 10/21/2022]
Abstract
BACKGROUND The appropriate clinical approach to incidentally detected lesions (IDLs) on CT attenuation correction (CTAC) images in myocardial perfusion imaging (MPI) remains uncertain. We sought to establish their prevalence and clinical significance in a large cohort and compared to previous studies to help provide further clarity and guide future clinical practice. METHODS AND RESULTS A total of 3758 MPI studies were reviewed retrospectively. IDLs of potential clinical significance-not known before MPI - were reported in 245 (6.5%) of these cases. Following appropriate further investigation/follow-up, these were of proven clinical significance in 30 (12.2%) cases with 14 patients (5.7%) harboring previously undiagnosed or progressive malignancies. The positive predictive value (PPV) for clinically significant incidental findings on CTAC images was 17.2% and the PPV value for incidental malignant findings was 8.0%. CONCLUSION Although incidental findings on CTAC images in MPI are common and often clearly insignificant at time of MPI reporting, many are clinically significant with a relatively high positive predictive value. This is especially so for malignancies. Our findings, therefore, in combination with previous studies as described here support routine reporting and appropriate further investigation of incidental CTAC findings in MPI.
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Affiliation(s)
- Joseph C Lee
- Department of Medical Imaging, The Prince Charles Hospital, Brisbane, QLD, 4032, Australia.
- Faculty of Medicine, The University of Queensland, Herston, Australia.
| | - Francis T Delaney
- Radiology Department, Mater Misericordiae University Hospital, Dublin, Ireland
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Schoonbeek RC, Bult FFS, Plaat BEC, Witjes MJH, van der Hoorn A, van Dijk BAC, Halmos GB. Incidental findings during the diagnostic work-up in the head and neck cancer pathway: Effects on treatment delay and survival. Oral Oncol 2021; 118:105350. [PMID: 34030108 DOI: 10.1016/j.oraloncology.2021.105350] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Revised: 04/23/2021] [Accepted: 05/11/2021] [Indexed: 11/16/2022]
Abstract
OBJECTIVES As a result of the increasing number of diagnostic scans, incidental findings (IFs) are more frequently encountered during oncological work-up in patients with head and neck squamous cell carcinomas (HNSCC). IFs are unintentional discoveries found on diagnostic imaging. Relevant IFs implicate clinical consequences, resulting in delay in oncologic treatment initiation, which is associated with unfavorable outcomes. This study is the first to investigate the incidence and nature of IFs over the years and establish the effect of relevant IFs on delay. MATERIAL AND METHODS This retrospective study compared two time periods (2010-2011 and 2016-2017), described associations between relevant IFs and delay in carepathway interval (days between first visit and treatment initiation) and assessed the effect of relevant IFs on overall two-year survival. RESULTS In total, 592 patients were included. At least one IF was found in 61.5% of the patients, most frequently on chest-CT. In 128 patients (21.6%) a relevant IF was identified, resulting for the majority in radiologist recommendations (e.g. additional scanning). Presence of a relevant IF was an independent significant factor associated with delay in treatment initiation. The risk of dying was higher for patients with a relevant IF, although not significant in the multivariable model (HR: 1.46, p = 0.079). CONCLUSION In diagnostic work-up for HNSCC patients, relevant IFs are frequently encountered. As the frequency of additional imaging rises over the years, the number of IFs increased simultaneously. These relevant IFs yield clinical implications and this study described that relevant IFs result in significant delay in treatment initiation.
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Affiliation(s)
- R C Schoonbeek
- University of Groningen, University Medical Center Groningen, Department of Otorhinolaryngology, Head and Neck Surgery, Groningen, the Netherlands.
| | - F F S Bult
- University of Groningen, University Medical Center Groningen, Department of Otorhinolaryngology, Head and Neck Surgery, Groningen, the Netherlands
| | - B E C Plaat
- University of Groningen, University Medical Center Groningen, Department of Otorhinolaryngology, Head and Neck Surgery, Groningen, the Netherlands
| | - M J H Witjes
- University of Groningen, University Medical Center Groningen, Department of Oral and Maxillofacial Surgery, Groningen, the Netherlands
| | - A van der Hoorn
- University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, the Netherlands
| | - B A C van Dijk
- Netherlands Comprehensive Cancer Organization (IKNL), Department of Research, Utrecht, the Netherlands; University of Groningen, University Medical Center Groningen, Department of Epidemiology, Groningen, the Netherlands
| | - G B Halmos
- University of Groningen, University Medical Center Groningen, Department of Otorhinolaryngology, Head and Neck Surgery, Groningen, the Netherlands
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12
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Diagnostic accuracy of combined thoracic and cardiac sonography for the diagnosis of pulmonary embolism: A systematic review and meta-analysis. PLoS One 2020; 15:e0235940. [PMID: 32986723 PMCID: PMC7521742 DOI: 10.1371/journal.pone.0235940] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 09/01/2020] [Indexed: 12/02/2022] Open
Abstract
Objectives Computed tomography pulmonary angiography (CTPA) is the diagnostic standard for pulmonary embolism (PE), but is unavailable in many low resource settings. We evaluated the evidence for point of care ultrasound as an alternative diagnostic. Methods Using a PROSPERO-registered, protocol-driven strategy (https://www.crd.york.ac.uk/PROSPERO, ID = CRD42018099925), we searched MEDLINE, EMBASE, and CINHAL for observational and clinical trials of cardiopulmonary ultrasound (CPUS) for PE. We included English-language studies of adult patients with acute breathlessness, reported according to PRISMA guidelines published in the last two decades (January 2000 to February 2020). The primary outcome was diagnostic accuracy of CPUS compared to reference standard CTPA for detection of PE in acutely breathless adults. Results We identified 260 unique publications of which twelve met all inclusion criteria. Of these, seven studies (N = 3872) were suitable for inclusion in our meta-analysis for diagnostic accuracy (two using CTPA and five using clinically derived diagnosis criterion). Meta-analysis of data demonstrated that using cardiopulmonary ultrasound (CPUS) was 91% sensitive and 81% specific for pulmonary embolism diagnosis compared to diagnostic standard CTPA. When compared to clinically derived diagnosis criterion, CPUS was 52% sensitive and 92% specific for PE diagnosis. We observed substantial heterogeneity across studies meeting inclusion criteria (I2 = 73.5%). Conclusions Cardiopulmonary ultrasound may be useful in areas where CTPA is unavailable or unsuitable. Interpretation is limited by study heterogeneity. Further methodologically rigorous studies comparing CPUS and CTPA are important to inform clinical practice.
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Sanchez R, Bailey G, Kaboli PJ, Zeliadt SB, Lang JA, Hoffman RM. Applying a Text-Search Algorithm to Radiology Reports Can Find More Patients With Pulmonary Nodules Than Radiology Coding Alone. Fed Pract 2020; 37:S32-S37. [PMID: 32952385 PMCID: PMC7497875] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
INTRODUCTION Chest imaging often incidentally finds indeterminate nodules that need to be monitored to ensure early detection of lung cancers. Health care systems need effective approaches for identifying these lung nodules. We compared the diagnostic performance of 2 approaches for identifying patients with lung nodules on imaging studies (chest/abdomen): (1) relying on radiologists to code imaging studies with lung nodules; and (2) applying a text search algorithm to identify references to lung nodules in radiology reports. METHODS We assessed all radiology studies performed between January 1, 2016 and November 30, 2016 in a single Veterans Health Administration hospital. We first identified imaging reports with a diagnostic code for a pulmonary nodule. We then applied a text search algorithm to identify imaging reports with key words associated with lung nodules. We reviewed medical records for all patients with a suspicious radiology report based on either search strategy to confirm the presence of a lung nodule. We calculated the yield and the positive predictive value (PPV) of each search strategy for finding pulmonary nodules. RESULTS We identified 12,983 imaging studies with a potential lung nodule. Chart review confirmed 8,516 imaging studies with lung nodules, representing 2,912 unique patients. The text search algorithm identified all the patients with lung nodules identified by the radiology coding (n = 1,251) as well as an additional 1,661 patients. The PPV of the text search was 72% (2,912/4,071) and the PPV of the radiology code was 92% (1,251/1,363). Among the patients with nodules missed by radiology coding but identified by the text search algorithm, 130 had lung nodules > 8 mm in diameter. CONCLUSIONS The text search algorithm can identify additional patients with lung nodules compared to the radiology coding; however, this strategy requires substantial clinical review time to confirm nodules. Health care systems adopting nodule-tracking approaches should recognize that relying only on radiology coding might miss clinically important nodules.
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Affiliation(s)
- Rolando Sanchez
- is a Clinical Assistant Professor of Pulmonary and Critical Care Medicine; is a Professor of Internal Medicine; and is a Professor of Internal Medicine, all at the University of Iowa Carver College of Medicine in Iowa City. is a Research Data Manager; is a Registered Nurse and Research Coordinator; and Peter Kaboli is an Associate Investigator, all in the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System. is a Research Professor of Public Health at the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System and the University of Washington School of Public Health in Seattle
| | - George Bailey
- is a Clinical Assistant Professor of Pulmonary and Critical Care Medicine; is a Professor of Internal Medicine; and is a Professor of Internal Medicine, all at the University of Iowa Carver College of Medicine in Iowa City. is a Research Data Manager; is a Registered Nurse and Research Coordinator; and Peter Kaboli is an Associate Investigator, all in the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System. is a Research Professor of Public Health at the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System and the University of Washington School of Public Health in Seattle
| | - Peter J Kaboli
- is a Clinical Assistant Professor of Pulmonary and Critical Care Medicine; is a Professor of Internal Medicine; and is a Professor of Internal Medicine, all at the University of Iowa Carver College of Medicine in Iowa City. is a Research Data Manager; is a Registered Nurse and Research Coordinator; and Peter Kaboli is an Associate Investigator, all in the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System. is a Research Professor of Public Health at the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System and the University of Washington School of Public Health in Seattle
| | - Steven B Zeliadt
- is a Clinical Assistant Professor of Pulmonary and Critical Care Medicine; is a Professor of Internal Medicine; and is a Professor of Internal Medicine, all at the University of Iowa Carver College of Medicine in Iowa City. is a Research Data Manager; is a Registered Nurse and Research Coordinator; and Peter Kaboli is an Associate Investigator, all in the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System. is a Research Professor of Public Health at the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System and the University of Washington School of Public Health in Seattle
| | - Julie A Lang
- is a Clinical Assistant Professor of Pulmonary and Critical Care Medicine; is a Professor of Internal Medicine; and is a Professor of Internal Medicine, all at the University of Iowa Carver College of Medicine in Iowa City. is a Research Data Manager; is a Registered Nurse and Research Coordinator; and Peter Kaboli is an Associate Investigator, all in the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System. is a Research Professor of Public Health at the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System and the University of Washington School of Public Health in Seattle
| | - Richard M Hoffman
- is a Clinical Assistant Professor of Pulmonary and Critical Care Medicine; is a Professor of Internal Medicine; and is a Professor of Internal Medicine, all at the University of Iowa Carver College of Medicine in Iowa City. is a Research Data Manager; is a Registered Nurse and Research Coordinator; and Peter Kaboli is an Associate Investigator, all in the Center for Access and Delivery Research and Evaluation (CADRE) at the Iowa City VA Healthcare System. is a Research Professor of Public Health at the Seattle-Denver Center of Innovation for Veteran-Centered and Value-Driven Care, VA Puget Sound Health Care System and the University of Washington School of Public Health in Seattle
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Delaney FT, Gray EL, Lee JC. The importance of appropriate reporting and investigation of incidental findings on computed tomography attenuation correction images during myocardial perfusion scintigraphy. World J Nucl Med 2019; 18:74-76. [PMID: 30774554 PMCID: PMC6357710 DOI: 10.4103/wjnm.wjnm_19_18] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
We present a case of lung cancer incidentally detected as a pulmonary nodule on computed tomography attenuation correction (CTAC) images during myocardial perfusion scintigraphy (MPS). Unfortunately, the incidental lesion was not fully investigated following MPS report and had developed into metastatic lung carcinoma when diagnosed over 1 year later, with failure of subsequent emergent chemotherapy. The disease appeared to be localized when initially detected during MPS. This case highlights the importance and potential clinical value of routine review of CTAC images in MPS with appropriate reporting and further investigation of suspicious incidental findings. In addition, the importance of effective communication between nuclear medicine department and treating team is clear to ensure suspicious incidental findings are given sufficient credence and thoroughly investigated promptly to avoid adverse clinical outcomes.
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Affiliation(s)
- Francis T Delaney
- Department of Medical Imaging, The Prince Charles Hospital, Brisbane, Australia
| | - Emma L Gray
- Department of Medical Imaging, The Prince Charles Hospital, Brisbane, Australia
| | - Joseph C Lee
- Department of Medical Imaging, The Prince Charles Hospital, Brisbane, Australia.,Faculty of Medicine, The University of Queensland, Australia
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15
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Delaney FT, Fong KM, Lee JC. Primary Thoracic Cancers Incidentally Detected on CT Attenuation Correction Images During Myocardial Perfusion Scintigraphy. Clin Lung Cancer 2018; 19:e575-e579. [DOI: 10.1016/j.cllc.2018.03.018] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2017] [Revised: 03/10/2018] [Accepted: 03/19/2018] [Indexed: 12/21/2022]
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16
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Tsai EB, Chiles C, Carter BW, Godoy MC, Shroff GS, Munden RF, Truong MT, Wu CC. Incidental Findings on Lung Cancer Screening: Significance and Management. Semin Ultrasound CT MR 2018; 39:273-281. [DOI: 10.1053/j.sult.2018.02.005] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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17
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Prendki V, Scheffler M, Huttner B, Garin N, Herrmann F, Janssens JP, Marti C, Carballo S, Roux X, Serratrice C, Serratrice J, Agoritsas T, Becker CD, Kaiser L, Rosset-Zufferey S, Soulier V, Perrier A, Reny JL, Montet X, Stirnemann J. Low-dose computed tomography for the diagnosis of pneumonia in elderly patients: a prospective, interventional cohort study. Eur Respir J 2018; 51:13993003.02375-2017. [PMID: 29650558 PMCID: PMC5978575 DOI: 10.1183/13993003.02375-2017] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2017] [Accepted: 03/31/2018] [Indexed: 01/24/2023]
Abstract
The diagnosis of pneumonia is challenging. Our objective was to assess whether low-dose computed tomography (LDCT) modified the probability of diagnosing pneumonia in elderly patients. We prospectively included patients aged over 65 years with a suspicion of pneumonia treated with antimicrobial therapy (AT). All patients had a chest radiograph and LDCT within 72 h of inclusion. The treating clinician assessed the probability of pneumonia before and after the LDCT scan using a Likert scale. An adjudication committee retrospectively rated the probability of pneumonia and was considered as the reference for diagnosis. The main outcome was the difference in the clinician's pneumonia probability estimates before and after LDCT and the proportion of modified diagnoses which matched the reference diagnosis (the net reclassification improvement (NRI)). A total of 200 patients with a median age of 84 years were included. After LDCT, the estimated probability of pneumonia changed in 90 patients (45%), of which 60 (30%) were downgraded and 30 (15%) were upgraded. The NRI was 8% (NRI event (−6%) + NRI non-event (14%)). LDCT modified the estimated probability of pneumonia in a substantial proportion of patients. It mostly helped to exclude a diagnosis of pneumonia and hence to reduce unnecessary AT. Low-dose CT modified the estimated probability of pneumonia in a substantial proportion (45%) of elderly patientshttp://ow.ly/V1ha30jvOMk
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Affiliation(s)
- Virginie Prendki
- Internal Medicine and Rehabilitation Unit, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Max Scheffler
- Dept of Radiology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Benedikt Huttner
- Division of Infectious Diseases, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Nicolas Garin
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland.,Dept of General Internal Medicine, Riviera Chablais Hospitals, Monthey, Switzerland
| | - François Herrmann
- Geriatrics Unit, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jean-Paul Janssens
- Division of Pulmonology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Christophe Marti
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Sebastian Carballo
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Xavier Roux
- Internal Medicine and Rehabilitation Unit, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Christine Serratrice
- Internal Medicine and Rehabilitation Unit, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jacques Serratrice
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Thomas Agoritsas
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Christoph D Becker
- Dept of Radiology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Laurent Kaiser
- Division of Infectious Diseases, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Sarah Rosset-Zufferey
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Valérie Soulier
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Arnaud Perrier
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jean-Luc Reny
- Internal Medicine and Rehabilitation Unit, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Xavier Montet
- Dept of Radiology, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
| | - Jérôme Stirnemann
- Internal Medicine, Dept of Internal Medicine, Rehabilitation and Geriatrics, Geneva University Hospitals and University of Geneva, Geneva, Switzerland
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18
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Sahovaler A, Yeh DH, Morrison D, de Ribaupierre S, Izawa J, Power A, Inculet R, Parry N, Palma DA, Landis M, Leung A, Fung K, MacNeil SD, Yoo J, Nichols AC. The incidence and management of non-head and neck incidentalomas for the head and neck surgeon. Oral Oncol 2017; 74:98-104. [PMID: 29103759 DOI: 10.1016/j.oraloncology.2017.09.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2017] [Revised: 08/16/2017] [Accepted: 09/02/2017] [Indexed: 12/11/2022]
Affiliation(s)
- Axel Sahovaler
- Department of Otolaryngology-Head and Neck Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - David H Yeh
- Department of Otolaryngology-Head and Neck Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Deric Morrison
- Department of Medicine, Division of Endocrinology, Western University, London Ontario, Canada
| | - Sandrine de Ribaupierre
- Department of Clinical Neurological Science, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Jonathan Izawa
- Department of Surgery, Divisions of Urology and Surgical Oncology, Schulich School of Medicine & Dentistry Western University, Canada
| | - Adam Power
- Department of Surgery, Division of Vascular Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Richard Inculet
- Division of Thoracic Surgery, Department of Surgery, London Health Sciences Centre, University of Western Ontario, London, ON, Canada
| | - Neil Parry
- Divisions of General Surgery and Critical Care, Departments of Surgery and Medicine, London Health Sciences Centre, University of Western Ontario, London, ON, Canada
| | - David A Palma
- Department of Radiation Oncology, London Regional Cancer Program, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada
| | - Mark Landis
- Department of Radiology, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Andrew Leung
- Department of Radiology, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Kevin Fung
- Department of Otolaryngology-Head and Neck Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - S Danielle MacNeil
- Department of Otolaryngology-Head and Neck Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - John Yoo
- Department of Otolaryngology-Head and Neck Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada
| | - Anthony C Nichols
- Department of Otolaryngology-Head and Neck Surgery, London Health Sciences Centre, Schulich School of Medicine & Dentistry, Western University, London, Ontario, Canada.
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19
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van Kesteren F, Wiegerinck EMA, van Mourik MS, Vis MM, Koch KT, Piek JJ, Stoker J, Tijssen JG, Baan J, Planken RN. Impact of Potentially Malignant Incidental Findings by Computed Tomographic Angiography on Long-Term Survival After Transcatheter Aortic Valve Implantation. Am J Cardiol 2017; 120:994-1001. [PMID: 28774429 DOI: 10.1016/j.amjcard.2017.06.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 05/26/2017] [Accepted: 06/15/2017] [Indexed: 12/17/2022]
Abstract
Computed tomography angiography (CTA) in workup for transcatheter aortic valve implantation (TAVI) frequently reveals potentially malignant incidental findings. Most incidental findings provoke discussions on their influence. We aimed to analyze if these findings were a predictor of long-term survival after TAVI. In a single-center retrospective analysis, all consecutive patients with pre-TAVI CTA were included (years 2009 to 2014). Patients were divided by presence or absence of incidental findings. We analyzed up to 5 years of all-cause, non-cardiovascular and cardiovascular mortality for all 553 patients who underwent TAVI; 113 had a potentially malignant incidental finding (20.4%). At 5 years, all-cause mortality risk was 64.5% in patients with versus 49.1% in patients without a finding (hazard ratio [HR] 1.70, 95% confidence interval [CI] 1.25 to 2.31). After adjustment, the findings remained an independent predictor of all-cause (adjusted HR 1.46, 95% CI 1.07 to 1.99) and non-cardiovascular mortality (adjusted subdistribution HR 1.84, 95% CI 1.06 to 3.20), but not of cardiovascular mortality. In conclusion, the presence of potentially malignant incidental findings on CTA is an independent predictor of long-term all-cause and noncardiovascular mortality but not of cardiovascular mortality.
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Affiliation(s)
- Floortje van Kesteren
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands; Department of Radiology, Academic Medical Center, University of Amsterdam, The Netherlands
| | | | | | - M Marije Vis
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Karel T Koch
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Jan J Piek
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Jaap Stoker
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Jan G Tijssen
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - Jan Baan
- Heart Center, Academic Medical Center, University of Amsterdam, The Netherlands
| | - R Nils Planken
- Department of Radiology, Academic Medical Center, University of Amsterdam, The Netherlands.
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Zandieh S, Muin D, Bernt R, Hittmair K, Haller J, Hergan K. Characteristics of incidentally found thyroid nodules in computed tomography: comparison with thyroid scintigraphy. BMC Med Imaging 2017; 17:8. [PMID: 28109248 PMCID: PMC5251309 DOI: 10.1186/s12880-017-0178-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 01/09/2017] [Indexed: 02/14/2023] Open
Abstract
Background In our daily experience, the differentiation between a cold and hot nodule is a very important factor for further clinical management of the patient. In this study, we compared the characteristics of incidentally found thyroid nodules detected on computed tomography (CT) to thyroid scintigraphy (TS). Methods Diagnostic reports from chest CT with intravenous contrast and TS examinations performed from January 2013 to January 2016 were analyzed retrospectively. We identified 70 subjects: 50 with thyroid nodules and 20 control subjects without thyroid nodules. The examination time of the TS was a minimum of two to four months after a chest CT. Chest CTs were performed in the arterial phase after the application of contrast media. Results Patients with a cold nodule had a significantly lower Hounsfield Unit (HU) Nodule(N)/Parenchyma (P) ratio values than the patients with a hot or warm nodule (P < 0.05). The cut-off HU N/P ratio value with the highest sum of sensitivity and specificity for the prediction of a functioning nodule was 69 (95% CI: 0.79–0.95). Conclusions Our results imply that the HU N/P ratio of the thyroid nodule on the chest CT should be taken into account to assess the functionality of the nodule. A lower HU N/P ratio should alert the radiologist or nuclear medicine physician to the possibility that the nodule might be cold and thus more prone to malignancy.
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Affiliation(s)
- Shahin Zandieh
- Institute of Radiology and Nuclear Medicine, Hanusch Hospital Teaching Hospital of Medical University of Vienna, Vienna, Austria.
| | - Dina Muin
- Institute of Radiology and Nuclear Medicine, Hanusch Hospital Teaching Hospital of Medical University of Vienna, Vienna, Austria
| | - Reinhard Bernt
- Institute of Radiology and Nuclear Medicine, Hanusch Hospital Teaching Hospital of Medical University of Vienna, Vienna, Austria
| | - Karl Hittmair
- Institute of Radiology and Nuclear Medicine, Hanusch Hospital Teaching Hospital of Medical University of Vienna, Vienna, Austria
| | - Joerg Haller
- Institute of Radiology and Nuclear Medicine, Hanusch Hospital Teaching Hospital of Medical University of Vienna, Vienna, Austria
| | - Klaus Hergan
- Department of Radiology, Paracelsus Medical University of Salzburg, Salzburg, Austria
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Thoracic lymph node delineation at dose-reduced (1 mSv) dose-modulated contrast enhanced MDCT: a retrospective pilot study. Radiol Med 2016; 121:644-51. [DOI: 10.1007/s11547-016-0645-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2016] [Accepted: 04/18/2016] [Indexed: 11/27/2022]
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Coward J, Nightingale J, Hogg P. The Clinical Dilemma of Incidental Findings on the Low-Resolution CT Images from SPECT/CT MPI Studies. J Nucl Med Technol 2016; 44:167-72. [PMID: 27102662 DOI: 10.2967/jnmt.116.174557] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Accepted: 04/04/2016] [Indexed: 12/14/2022] Open
Abstract
Incidental findings are common in medical imaging. There is a particularly high prevalence of incidental findings within the thorax, the most frequent being pulmonary nodules. Although pulmonary nodules have the potential to be malignant, most are benign, resulting in a high number of false-positive findings. Low-resolution CT images produced for attenuation correction of SPECT images are essentially a by-product of the imaging process. The high number of false-positive incidental findings detected on these attenuation-correction images causes a reporting dilemma. Early detection of cancer can be beneficial, but false-positive findings and overdiagnosis can be detrimental to the patient. Attenuation-correction CT images are not of diagnostic quality, and further diagnostic tests are usually necessary for a definitive diagnosis to be reached. Given the high number of false-positive findings, the psychologic effect on the patient should be considered. This review recommends caution when the findings on attenuation-correction CT images are routinely reported.
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Affiliation(s)
- Joanne Coward
- Directorate of Radiography, School of Health Sciences, University of Salford, Salford, United Kingdom
| | - Julie Nightingale
- Directorate of Radiography, School of Health Sciences, University of Salford, Salford, United Kingdom
| | - Peter Hogg
- Directorate of Radiography, School of Health Sciences, University of Salford, Salford, United Kingdom
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Westra SJ, Thacker PG, Podberesky DJ, Lee EY, Iyer RS, Hegde SV, Guillerman RP, Mahani MG. The incidental pulmonary nodule in a child. Part 2: Commentary and suggestions for clinical management, risk communication and prevention. Pediatr Radiol 2015; 45:634-9. [PMID: 25655370 DOI: 10.1007/s00247-014-3269-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 11/19/2014] [Accepted: 12/19/2014] [Indexed: 12/21/2022]
Abstract
The incidental detection of small lung nodules in children is a vexing consequence of an increased reliance on CT. We present an algorithm for the management of lung nodules detected on CT in children, based on the presence or absence of symptoms, the presence or absence of elements in the clinical history that might explain these nodules, and the imaging characteristics of the nodules (such as attenuation measurements within the nodule). We provide suggestions on how to perform a thoughtfully directed and focused search for clinically occult extrathoracic disease processes (including malignant disease) that may present as an incidentally detected lung nodule on CT. This algorithm emphasizes that because of the lack of definitive information on the natural history of small solid nodules that are truly detected incidentally, their clinical management is highly dependent on the caregivers' individual risk tolerance. In addition, we present strategies to reduce the prevalence of these incidental findings, by preventing unnecessary chest CT scans or inadvertent inclusion of portions of the lungs in scans of adjacent body parts. Application of these guidelines provides pediatric radiologists with an important opportunity to practice patient-centered and evidence-based medicine.
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Affiliation(s)
- Sjirk J Westra
- Division of Pediatric Radiology, Massachusetts General Hospital, 34 Fruit St., White 246A, Boston, MA, 02114, USA,
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Lin JD. Discovering Incidental Thyroid Disease by Imaging Studies. J Med Ultrasound 2015. [DOI: 10.1016/j.jmu.2015.02.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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Chen DW, Young A, Donovan DT, Ongkasuwan J. Routine Computed Tomography in the Evaluation of Vocal Fold Movement Impairment without an Apparent Cause. Otolaryngol Head Neck Surg 2015; 152:308-313. [DOI: 10.1177/0194599814562720] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2014] [Accepted: 11/14/2014] [Indexed: 08/30/2023]
Abstract
ObjectiveRoutine computed tomography (CT) for vocal fold movement impairment (VFMI) without an apparent cause is common. However, given increased cancer risk associated with ionizing radiation exposure, our purpose is to evaluate the utility of routine scans for these patients.Study DesignRetrospective case series.SettingHouston, Texas.Subjects and MethodsA 5‐year review of patients with VFMI diagnosed at an academic institution was conducted. For patients without an apparent cause (eg, recent head, neck, or cardiothoracic surgery or known malignancy), CT head/neck and chest was performed to evaluate the recurrent laryngeal nerve course. Data included demographics, symptoms, radiography, and interventions. Statistical analyses were performed via χ2 analysis.ResultsOf 406 patients with VFMI, 47 (11%) patients had no apparent cause clinically. Routine CT revealed abnormalities in 10 (21%) patients, of which only 3 (6%) could account for VFMI: benign thyroid adenoma (1), papillary thyroid cancer (1), and an esophageal mass (1). The most common lesion detected involved the thyroid. Demographic data and symptom type were not significantly associated with detection of a VFMI‐attributable lesion on CT. Overall, routine CT did not identify a focal etiology in 94% patients with VFMI without an apparent cause.ConclusionRoutine pan‐CT evaluation failed to reveal an etiology in 94% of patients with VFMI without an apparent cause. Patients may be subjected to health risks associated with radiation exposure without significant diagnostic benefit. Further studies should consider more judicious use of CT in the context of risk factors and safer imaging modalities as the initial diagnostic step.
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Affiliation(s)
- Diane W. Chen
- Department Otolaryngology–Head & Neck Surgery Baylor College of Medicine Houston Texas USA
| | - Alex Young
- Department Otolaryngology–Head & Neck Surgery Baylor College of Medicine Houston Texas USA
| | - Donald T. Donovan
- Department Otolaryngology–Head & Neck Surgery Baylor College of Medicine Houston Texas USA
| | - Julina Ongkasuwan
- Department Otolaryngology–Head & Neck Surgery Baylor College of Medicine Houston Texas USA
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Braun FM, Johnson TRC, Sommer WH, Thierfelder KM, Meinel FG. Chest CT using spectral filtration: radiation dose, image quality, and spectrum of clinical utility. Eur Radiol 2014; 25:1598-606. [PMID: 25515204 DOI: 10.1007/s00330-014-3559-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2014] [Revised: 11/24/2014] [Accepted: 12/05/2014] [Indexed: 12/11/2022]
Abstract
OBJECTIVES To determine the radiation dose, image quality, and clinical utility of non-enhanced chest CT with spectral filtration. METHODS We retrospectively analysed 25 non-contrast chest CT examinations acquired with spectral filtration (tin-filtered Sn100 kVp spectrum) compared to 25 examinations acquired without spectral filtration (120 kV). Radiation metrics were compared. Image noise was measured. Contrast-to-noise-ratio (CNR) and figure-of-merit (FOM) were calculated. Diagnostic confidence for the assessment of various thoracic pathologies was rated by two independent readers. RESULTS Effective chest diameters were comparable between groups (P = 0.613). In spectral filtration CT, median CTDIvol, DLP, and size-specific dose estimate (SSDE) were reduced (0.46 vs. 4.3 mGy, 16 vs. 141 mGy*cm, and 0.65 vs. 5.9 mGy, all P < 0.001). Spectral filtration CT had higher image noise (21.3 vs. 13.2 HU, P < 0.001) and lower CNR (47.2 vs. 75.3, P < 0.001), but was more dose-efficient (FOM 10,659 vs. 2,231/mSv, P < 0.001). Diagnostic confidence for parenchymal lung disease and osseous pathologies was lower with spectral filtration CT, but no significant difference was found for pleural pathologies, pulmonary nodules, or pneumonia. CONCLUSIONS Non-contrast chest CT using spectral filtration appears to be sufficient for the assessment of a considerable spectrum of thoracic pathologies, while providing superior dose efficiency, allowing for substantial radiation dose reduction. KEY POINTS • Spectral filtration enables non-contrast chest CT with very high dose efficiency. • This approach reduces CTDI vol , DLP, and SSDE (effective chest diameter 28 cm). • Lung nodules, pneumonia, and pleural pathologies can be assessed with uncompromised confidence.
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Affiliation(s)
- Franziska M Braun
- Institute for Clinical Radiology, University Hospital Munich, Marchioninistraße 15, 81377, Munich, Germany,
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Moftah SG, Sukkasem W, Stern EJ. Patient-centered clinical impact of incidentally detected abnormalities on chest CT scans. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2014. [DOI: 10.1016/j.ejrnm.2014.04.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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Abstract
Thyroid nodules are an extremely common endocrine disorder with a generally accepted prevalence of around 4% to 7%. Incidental thyroid nodules are typically nonpalpable thyroid nodules found during radiographic evaluation for a non-thyroid-related issue (eg, computed tomographic scan, positron emission tomography scan, carotid duplex). Incidental thyroid nodules are contributing to but are not the sole reason for the rising incidence of thyroid cancer in the Unites States and other developed nations.
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Abstract
Still uncertainty about the need for treatment
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Affiliation(s)
- C D Bicknell
- Department of Surgery and Cancer, Vascular Surgery, Imperial College London, St Dunstan's Road, London W6 8RP, UK
| | - J T Powell
- Department of Surgery and Cancer, Vascular Surgery, Imperial College London, St Dunstan's Road, London W6 8RP, UK
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Busco S, Giorgi Rossi P, Sperduti I, Pezzotti P, Buzzoni C, Pannozzo F. Increased incidence of thyroid cancer in Latina, Italy: a possible role of detection of subclinical disease. Cancer Epidemiol 2013; 37:262-9. [PMID: 23518150 DOI: 10.1016/j.canep.2013.02.007] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2012] [Revised: 02/19/2013] [Accepted: 02/19/2013] [Indexed: 01/02/2023]
Abstract
OBJECTIVE To describe the thyroid cancer incidence trends and geographical patterns in the Latina Province of Lazio, Italy using the population-based cancer registry. METHODS We extracted from the Latina cancer registry all cases of thyroid cancer from 1997 to 2006. Cases were classified according to morphological type and diameter. Data for diagnostic procedures for Latina Province residents from 2001 to 2006 were extracted from the regional outpatient procedures information system. RESULTS A total of 982 cases were diagnosed, for a standardized incidence of 8.3 and of 27.9 per 100,000 in males (n, 220) and in females (n, 762), respectively. The annual percent change (APC) was +16.7% (95% CI +7.2, +27.2) and +10.5% (95% CI +6.5, +14.6) in males and females, respectively. The increase was mostly due to papillary (n, 759) and small (≤20 mm) cancers (n, 617), with no difference by age (<45 years; n, 431). The APC of neck ultrasound performed was +8.7% (95% CI +0.1, +18.1) and +9.0% (95% CI +1.1, +17.4) and that of biopsy/cytology was +17.0% (95% CI +13.0, +21.3) and +16.6% (95% CI +6.2, +28.1) in men and women, respectively. The geographic pattern of biopsy/cytology was similar to that of cancer incidence but not to that of neck ultrasound. CONCLUSIONS In Latina, the increase in thyroid cancer incidence was more rapid than in the rest of Italy, particularly for types with a good prognosis. While tumor size and histotype suggest an increase in detection instead of an increase in disease occurrence, data on diagnostic procedure reimbursements cannot provide an explanation.
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Affiliation(s)
- Susanna Busco
- Cancer Registry, Epidemiology Unit, Latina Local Health Unit, Latina, Italy
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