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A Validated Model for the Imaging Diagnosis of Cystic Lung Disease

A Validated Model for the Imaging Diagnosis of Cystic Lung Disease
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摘要 Rationale and Objectives: Cystic lung disease may be accurately diagnosed by imaging interpretation of specialist radiologists, without other information. We hypothesized that with minimal training non-specialists could perform similarly to specialist physicians in the diagnosis of cystic lung disease. Methods: 72 cystic lung disease cases and 25 cystic lung disease mimics were obtained from three sources: 1) a prospective acquired diffuse lung disease registry, 2) a retrospective search of medical records and 3) teaching files. Cases were anonymized, randomized and interpreted by 7 diffuse lung disease specialists and 15 non-specialist radiologists and pulmonologists. Clinical information other than age and sex was not provided. Prior to interpretation, non-specialists viewed a short PDF training document explaining cystic lung disease interpretation. Results: Correct first choice diagnosis of 85%-88% may be achieved by high-performing specialist readers and 71%-80% by non-specialists and lower-performing specialists, with mean accuracies in the diagnosis of LAM (91%, p Conclusion: With specific but limited training, non-specialist physicians can diagnose cystic lung diseases from CT appearance alone with similar accuracy to specialists, correctly identifying approximately 75% of cases. Rationale and Objectives: Cystic lung disease may be accurately diagnosed by imaging interpretation of specialist radiologists, without other information. We hypothesized that with minimal training non-specialists could perform similarly to specialist physicians in the diagnosis of cystic lung disease. Methods: 72 cystic lung disease cases and 25 cystic lung disease mimics were obtained from three sources: 1) a prospective acquired diffuse lung disease registry, 2) a retrospective search of medical records and 3) teaching files. Cases were anonymized, randomized and interpreted by 7 diffuse lung disease specialists and 15 non-specialist radiologists and pulmonologists. Clinical information other than age and sex was not provided. Prior to interpretation, non-specialists viewed a short PDF training document explaining cystic lung disease interpretation. Results: Correct first choice diagnosis of 85%-88% may be achieved by high-performing specialist readers and 71%-80% by non-specialists and lower-performing specialists, with mean accuracies in the diagnosis of LAM (91%, p Conclusion: With specific but limited training, non-specialist physicians can diagnose cystic lung diseases from CT appearance alone with similar accuracy to specialists, correctly identifying approximately 75% of cases.
作者 Wallace T. Miller Karen C. Patterson Shweta Sood James E. Schmitt Arshad A. Wani Robert Borden Maya Galperin-Aisenberg Mary K. Porteus Michelle L. Hershman Michael Hewitt Jennifer Levy Victor D. Babatunde Tetiana Glushko Timothy J. Niesen Sergey Leshchinskiy Karine Sahakyan Keyur Desai Jennifer A. Gillman Sandeep Reddy Michael Shriver Nathaniel B. Linna Abass M. Noor Aysenur Buz Matthew E. Biron Scott Simpson Wallace T. Miller;Karen C. Patterson;Shweta Sood;James E. Schmitt;Arshad A. Wani;Robert Borden;Maya Galperin-Aisenberg;Mary K. Porteus;Michelle L. Hershman;Michael Hewitt;Jennifer Levy;Victor D. Babatunde;Tetiana Glushko;Timothy J. Niesen;Sergey Leshchinskiy;Karine Sahakyan;Keyur Desai;Jennifer A. Gillman;Sandeep Reddy;Michael Shriver;Nathaniel B. Linna;Abass M. Noor;Aysenur Buz;Matthew E. Biron;Scott Simpson(Department of Radiology, University of Botswana, Gaborone, Botswana;Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA;Brighton and Sussex Medical School, Brighton, England;Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA;Department of Radiologic Sciences, Drexel University College of Medicine, Philadelphia, USA;Department of Radiology, Mercy Catholic Medical Center, Philadelphia, USA;Department of Diagnostic Imaging, School of Alpert Medical, Brown University, Providence, USA;Department of Radiology, Goztepe Research and Training Hospital, Istanbul Medeniyet University, Istanbul, Türkiye)
出处 《Open Journal of Radiology》 2023年第1期42-57,共16页 放射学期刊(英文)
关键词 LYMPHANGIOLEIOMYOMATOSIS HISTIOCYTOSIS Langerhans-Cell Idiopathic Interstitial Pneumonias Birt-Hogg-Dube Syndrome Lung Diseases INTERSTITIAL DIAGNOSES Differential Lymphangioleiomyomatosis Histiocytosis Langerhans-Cell Idiopathic Interstitial Pneumonias Birt-Hogg-Dube Syndrome Lung Diseases Interstitial Diagnoses Differential
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