1. COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging.
- Author
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Gezer NS, Ergan B, Barış MM, Appak Ö, Sayıner AA, Balcı P, Kuruüzüm Z, Çavuş SA, and Kılınç O
- Subjects
- Adult, Betacoronavirus isolation & purification, COVID-19, Cohort Studies, Coronavirus Infections epidemiology, Coronavirus Infections prevention & control, Coronavirus Infections virology, Diagnosis, Differential, Diagnostic Tests, Routine methods, Female, Humans, Male, Middle Aged, Pandemics prevention & control, Pneumonia etiology, Pneumonia pathology, Pneumonia, Viral epidemiology, Pneumonia, Viral prevention & control, Pneumonia, Viral virology, Predictive Value of Tests, Radiologists statistics & numerical data, Retrospective Studies, Reverse Transcriptase Polymerase Chain Reaction methods, SARS-CoV-2, Sensitivity and Specificity, Tomography, X-Ray Computed methods, Turkey epidemiology, Betacoronavirus genetics, Coronavirus Infections diagnostic imaging, Pneumonia diagnostic imaging, Pneumonia, Viral diagnostic imaging, Thorax diagnostic imaging, Tomography, X-Ray Computed classification
- Abstract
Purpose: Because of the widespread use of CT in the diagnosis of COVID 19, indeterminate presentations such as single, few or unilateral lesions amount to a considerable number. We aimed to develop a new classification and structured reporting system on CT imaging (COVID-19 S) that would facilitate the diagnosis of COVID-19 in the most accurate way., Methods: Our retrospective cohort included 803 patients with a chest CT scan upon suspicion of COVID 19. The patients' history, physical examination, CT findings, RT PCR, and other laboratory test results were reviewed, and a final diagnosis was made as COVID 19 or non-COVID 19. Chest CT scans were classified according to the COVID 19 S CT diagnosis criteria. Cohen's kappa analysis was used., Results: Final clinical diagnosis was COVID-19 in 98 patients (12%). According to the COVID-19 S CT diagnosis criteria, the number of patients in the normal, compatible with COVID 19, indeterminate and alternative diagnosis groups were 581 (72.3%), 97 (12.1%), 16 (2.0%) and 109 (13.6%). When the indeterminate group was combined with the group compatible with COVID 19, the sensitivity and specificity of COVID-19 S were 99.0% and 87.1%, with 85.8% positive predictive value (PPV) and 99.1% negative predictive value (NPV). When the indeterminate group was combined with the alternative diagnosis group, the sensitivity and specificity of COVID-19 S were 93.9% and 96.0%, with 94.8% PPV and 95.2% NPV., Conclusion: COVID-19 S CT classification system may meet the needs of radiologists in distinguishing COVID-19 from pneumonia of other etiologies and help optimize patient management and disease control in this pandemic by the use of structured reporting.
- Published
- 2020
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