Literature DB >> 34318756

Diagnostic performance and interobserver agreement of CO-RADS: evaluation of classification in radiology practice.

Okan Dilek1, Omer Kaya2, Hüseyin Akkaya3, Cem Ceylan1, Alper Kızıloglu4, Betul Sahin Eker5, Bozkurt Gulek1.   

Abstract

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 (κ) 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' κ 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' κ 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.

Entities:  

Year:  2021        PMID: 34318756     DOI: 10.5152/dir.2021.201032

Source DB:  PubMed          Journal:  Diagn Interv Radiol        ISSN: 1305-3825            Impact factor:   2.630


  2 in total

1.  Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting.

Authors:  Yeshaswini Nagaraj; Gonda de Jonge; Anna Andreychenko; Gabriele Presti; Matthias A Fink; Nikolay Pavlov; Carlo C Quattrocchi; Sergey Morozov; Raymond Veldhuis; Matthijs Oudkerk; Peter M A van Ooijen
Journal:  Eur Radiol       Date:  2022-04-01       Impact factor: 7.034

2.  Radiological Findings in SARS-CoV-2 Viral Pneumonia Compared to Other Viral Pneumonias: A Single-Centre Study.

Authors:  Rana Günöz Cömert; Eda Cingöz; Sevim Meşe; Görkem Durak; Atadan Tunaci; Ali Ağaçfidan; Mustafa Önel; Şükrü Mehmet Ertürk
Journal:  Can J Infect Dis Med Microbiol       Date:  2022-09-29       Impact factor: 2.585

  2 in total

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