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10.5152/dir.2021.201032

http://scihub22266oqcxt.onion/10.5152/dir.2021.201032
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34318756!8480953!34318756
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suck abstract from ncbi


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pmid34318756      Diagn+Interv+Radiol 2021 ; 27 (5): 615-620
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  • Diagnostic performance and interobserver agreement of CO-RADS: evaluation of classification in radiology practice #MMPMID34318756
  • Dilek O; Kaya O; Akkaya H; Ceylan C; Kiziloglu A; Sahin Eker B; Gulek B
  • Diagn Interv Radiol 2021[Sep]; 27 (5): 615-620 PMID34318756show ga
  • PURPOSE: We aimed to evaluate the use of the COVID-19 reporting and data system (CO-RADS) among radiologists and the diagnostic performance of this system. METHODS: Four radiologists retrospectively evaluated the chest CT examinations of 178 patients. The study included 143 patients with positive reverse transcriptase-polymerase chain reaction (RT-PCR) test results and 35 patients whose RT-PCR tests were negative but whose clinical and/or radiological findings were consistent with COVID-19. Fleiss' kappa (kappa) values were calculated, and individual observers' scores were compared. To investigate diagnostic efficiency, receiver operating characteristic (ROC) curves were calculated for each interpreter. RESULTS: The interpreters were in full agreement on 574 of 712 (80.6%) evaluations. The common Fleiss' kappa value of all the radiologists combined was 0.712 (95% confidence interval [CI] 0.692-0.769). A reliable prediction on the basis of RT-PCR and clinical findings indicated the mean area under the curve (AUC) of Fleiss' kappa value as 0.89 (95% CI 0.708-0.990). General interpreter agreement was found to range from moderate to good. CONCLUSION: The interpreter agreement for CO-RADS categories 1 and 5 was reasonably good. We conclude that this scoring system will make a valuable contribution to efforts in COVID-19 diagnosis. CO-RADS can also be of significant value for the diagnosis and treatment of the disease in cases with false-negative PCR results.
  • |*COVID-19[MESH]
  • |*Radiology[MESH]
  • |COVID-19 Testing[MESH]
  • |Humans[MESH]
  • |Observer Variation[MESH]
  • |Retrospective Studies[MESH]


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