Diagnostic performance of radiologists in distinguishing post-COVID-19 residual abnormalities from interstitial lung abnormalities
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.
Authors
- Kum Ju Chae (ORCID: https://orcid.org/0000-0003-3012-3530)
- Helmut Prosch (ORCID: https://orcid.org/0000-0002-6119-6364)
- Yeon Joo Jeong (ORCID: https://orcid.org/0000-0002-1741-9604)
- Jeffrey P. Kanne (ORCID: https://orcid.org/0000-0002-4224-8536)
- Kwang Nam Jin (ORCID: https://orcid.org/0000-0001-5494-9113)
- Thomas Frauenfelder (ORCID: https://orcid.org/0000-0002-3295-6619)
- Jane P. Ko (ORCID: https://orcid.org/0000-0001-9355-7200)
- Jong Eun Lee (ORCID: https://orcid.org/0000-0002-8754-6801)
- Anna Rita Larici (ORCID: https://orcid.org/0000-0002-1882-6244)
- Soon Ho Yoon (ORCID: https://orcid.org/0000-0002-3700-0165)
- Eva Castañer (ORCID: https://orcid.org/0000-0003-2549-4353)
- Scott Simpson (ORCID: https://orcid.org/0000-0002-6461-8219)
- Hyo‐jae Lee (ORCID: https://orcid.org/0000-0001-7770-6800)
- Benoît Ghaye (ORCID: https://orcid.org/0000-0002-3239-9672)
- Gyeryeong Park
Institutions
- Cliniques Universitaires Saint-Luc (BE)
- University of Wisconsin–Madison (US)
- Seoul National University (KR)
- Hospital of the University of Pennsylvania (US)
- Seoul Metropolitan Government (KR)
- Asan Medical Center (KR)
- Vienna General Hospital (AT)
- Seoul National University Hospital (KR)
- Chonnam National University Hospital (KR)
- SNUH SMG-SNU Boramae Medical Center (KR)
- University Hospital of Zurich (CH)
- National University College (PR)
- Jeonbuk National University Hospital (KR)
- Institute of Research and Innovation Parc Tauli (ES)
- Pusan National University Yangsan Hospital (KR)
- University of the Sacred Heart (JP)
- Medical University of Vienna (AT)
- Jeonbuk National University (KR)
- UCLouvain (BE)
Publication Details
- Journal
- European Radiology
- Published
- 2024-09-23
- DOI
- https://doi.org/10.1007/s00330-024-11075-x
- Citations
- 1
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Seoul National University
- Seoul National University Hospital