Diagnostic Performance of COVID-19 Reporting and Data System Classification across Residents and Radiologists: A Retrospective Study
Journal of Computer Assisted Tomography, cilt.45, sa.5, ss.782-787, 2021 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 45 Sayı: 5
- Basım Tarihi: 2021
- Doi Numarası: 10.1097/rct.0000000000001172
- Dergi Adı: Journal of Computer Assisted Tomography
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Biotechnology Research Abstracts, CAB Abstracts, EMBASE, MEDLINE, Veterinary Science Database
- Sayfa Sayıları: ss.782-787
- Anahtar Kelimeler: thorax computed tomography, COVID-19 pneumonia, CO-RADS classification
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Objective The aim of the study was to evaluate the interobserver agreement and diagnostic accuracy of COVID-19 Reporting and Data System (CO-RADS), in patients suspected COVID-19 pneumonia. Methods Two hundred nine nonenhanced chest computed tomography images of patients with clinically suspected COVID-19 pneumonia were included. The images were evaluated by 2 groups of observers, consisting of 2 residents-radiologists, using CO-RADS. Reverse transcriptase-polymerase chain reaction (PCR) was used as a reference standard for diagnosis in this study. Sensitivity, specificity, area under receiver operating characteristic curve (AUC), and intraobserver/interobserver agreement were calculated. Results COVID-19 Reporting and Data System was able to distinguish patients with positive PCR results from those with negative PCR results with AUC of 0.796 in the group of residents and AUC of 0.810 in the group of radiologists. There was moderate interobserver agreement between residents and radiologist with κ values of 0.54 and 0.57. Conclusions The diagnostic performance of CO-RADS for predicting COVID-19 pneumonia showed moderate interobserver agreement between residents and radiologists.