Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities
Lee, Jong Lee (Asan Medical Center (Seoul, Corea))
Lee, Hyo-Jae (Chonnam National University Hospital Gwangju)
Park, Gyeryeopng (Chonnam National University Hospital Gwangju)
Chae, Kum Ju (Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital)
Jin, Kwang Nam (Seoul National University-Seoul Metropolitan Government Boramae Medical Center)
Castañer, Eva (Parc Taulí Hospital Universitari. Institut d'Investigació i Innovació Parc Taulí (I3PT))
Ghaye, Benoit (Katholieke Universiteit te Leuven (1970-))
Ko, Jane P. (New York University Grossman School of Medicine)
Prosch, Helmut (Medical University of Vienna)
Simpson, Scott (Hospital of the University of Pennsylvania)
Larici, Anna Rita (A. Gemelli University Polyclinic Foundation IRCCS)
Kanne, Jeffrey P. (University of Wisconsin School of Medicine and Public Health)
Frauenfelder, Thomas (University Hospital Zurich (Suïssa))
Jeong, Yeon Joo (Pusan National University Yangsan Hospital)
Yoon, Soon Ho (Seoul National University College of Medicine)
Universitat Autònoma de Barcelona. Departament de Medicina

Data:	2025
Resum:	Objective: Distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities (ILA) on CT can be challenging if clinical information is limited. This study aimed to evaluate the diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from ILA. Methods: This multi-reader, multi-case study included 60 age- and sex-matched subjects with chest CT scans. There were 40 cases of ILA (20 fibrotic and 20 non-fibrotic) and 20 cases of post-COVID-19 residual abnormalities. Fifteen radiologists from multiple nations with varying levels of experience independently rated suspicion scores on a 5-point scale to distinguish post-COVID-19 residual abnormalities from fibrotic ILA or non-fibrotic ILA. Interobserver agreement was assessed using the weighted κ value, and the scores of individual readers were compared with the consensus of all readers. Receiver operating characteristic curve analysis was conducted to evaluate the diagnostic performance of suspicion scores for distinguishing post-COVID-19 residual abnormalities from ILA and for differentiating post-COVID-19 residual abnormalities from both fibrotic and non-fibrotic ILA. Results: Radiologists' diagnostic performance for distinguishing post-COVID-19 residual abnormalities from ILA was good (area under the receiver operating characteristic curve (AUC) range, 0. 67-0. 92; median AUC, 0. 85) with moderate agreement (κ = 0. 56). The diagnostic performance for distinguishing post-COVID-19 residual abnormalities from non-fibrotic ILA was lower than that from fibrotic ILA (median AUC = 0. 89 vs. AUC = 0. 80, p = 0. 003). Conclusion: Radiologists demonstrated good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA, but careful attention is needed to avoid misdiagnosing them as non-fibrotic ILA. Key Points: Question How good are radiologists at differentiating interstitial lung abnormalities (ILA) from changes related to COVID-19 infection? Findings Radiologists had a median AUC of 0. 85 in distinguishing post-COVID-19 abnormalities from ILA with moderate agreement (κ = 0. 56). Clinical relevance Radiologists showed good diagnostic performance and moderate agreement in distinguishing post-COVID-19 residual abnormalities from ILA; nonetheless, caution is needed in distinguishing residual abnormalities from non-fibrotic ILA.
Drets:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Llengua:	Anglès
Document:	Article ; recerca ; Versió publicada
Matèria:	COVID-19 ; Diagnostic imaging ; Lung diseases, Interstitial ; Tomography, X-ray computed
Publicat a:	European radiology, Vol. 35 Núm. 4 (april 2025) , p. 2265-2274, ISSN 1432-1084

DOI: 10.1007/s00330-024-11075-x
PMID: 39311916

10 p, 1.1 MB

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Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències de la salut i biociències > Institut d’Investigació i Innovació Parc Taulí (I3PT)
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