Diagnostic performance and interobserver agreement of CO-RADS: evaluation of classification in radiology practice.
Diagn Interv Radiol
; 27(5): 615-620, 2021 Sep.
Article
in English
| MEDLINE | ID: covidwho-1329195
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.
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Radiology
/
COVID-19
Type of study:
Diagnostic study
/
Experimental Studies
/
Observational study
/
Prognostic study
Limits:
Humans
Language:
English
Journal:
Diagn Interv Radiol
Journal subject:
Diagnostic Imaging
/
Radiology
Year:
2021
Document Type:
Article
Affiliation country:
Dir.2021.201032
Similar
MEDLINE
...
LILACS
LIS