Interobserver Agreement in the Analysis of Different Radiological Classifications of COVID-19 on Computed Tomography

Introduction: Computed tomography (CT) has approximately 98% sensitivity for Coronavirus disease-2019 (COVID-19). Various algorithms were designed using CT images. However, the interobserver agreement of different radiological classifications of COVID-19 is not yet known. Thus, this study aimed to investigate the interobserver agreement of different radiological classifications of COVID-19. Materials and Methods: This study included 212 patients who were positive on the polymerase chain reaction test and eligible for CT. Four radiologists examined all CT images simultaneously. They reached a consensus that CT images can provide definite findings of COVID-19. The Radiological Society of North America (RSNA) consensus statement, the British Society of Thoracic Imaging (BSTI) structured reporting statement, and COVID-19 Reporting and Data System (CO-RADS) were used. Fleiss’ Kappa was used to detect interobserver agreement. Kappa values of 0.00-0.20 were considered as slight, 0.21-0.40 as fair, 0.41-0.60 as moderate, 0.61-0.80 as substantial, and 0.81-1.00 as near-perfect agreement, and p<0.05 was accepted as significant. Results: A total of 137 patients did not have any pathological CT findings. The most prevalent radiological findings were ground-glass opacities and consolidations. The agreements on all classifications were at near-perfect levels: RSNA, 0.86 (0.82-0.90); BSTI, 0.83 (0.79-0.87), and CO-RADS, 0.82 (0.79-0.86). The RSNA classification has the highest consistency rate, followed by BSTI and CO-RADS. However, substantial and moderate agreements were found in the subcategories of each classification. Conclusion: In this study, some subcategories had a lower agreement, despite the high consistency rates for COVID-19 radiological classification systems in the literature. Therefore, improving the items without consensus can lead to the development of better radiological diagnostic approaches..

Medienart:	E-Artikel

Erscheinungsjahr:	2021
Erschienen:	2021

Enthalten in:	Zur Gesamtaufnahme - volume:10
Enthalten in:	Mediterranean Journal of Infection, Microbes and Antimicrobials - 10(2021), 1

Sprache:	Türkisch

Beteiligte Personen:	Adnan ÖZDEMİR [VerfasserIn] Sevda YILMAZ [VerfasserIn] Özlem ÖZLÜK EROL [VerfasserIn] Sedat KAYGUSUZ [VerfasserIn] Alper GÖNCÜOĞLU [VerfasserIn] Selmin Perihan KÖMÜRCÜ ERKMEN [VerfasserIn] İrfan KARAHAN [VerfasserIn] Birgül KAÇMAZ [VerfasserIn] Serdar GÜL [VerfasserIn]

Links:	doi.org [kostenfrei] doaj.org [kostenfrei] mjima.org [kostenfrei] Journal toc [kostenfrei]

Themen:	Covid-19 Diagnosis Infectious and parasitic diseases Interobserver variability Medicine R Tomography

doi:	10.4274/mjima.galenos.2021.2021.42

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PPN (Katalog-ID):	DOAJ013965417