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Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia
Diagnostics, 14 (2024), 2; 148. https://doi.org/10.3390/diagnostics14020148
Brumini, Ivan; Dodig, Doris; Žuža, Iva; Višković, Klaudija; Mehmedović, Armin; Bartolović, Nina; Šušak, Helena; Cekinović Grbeša, Đurđica; Miletić, Damir

Institucijski repozitorij: Repozitorij Fakulteta zdravstvenih studija

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Brumini, I., Dodig, D., Žuža, I., Višković, K., Mehmedović, A., Bartolović, N. ... Miletić, D. (2024). Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia. Diagnostics, 14. (2). doi: 10.3390/diagnostics14020148

Brumini, Ivan, et al. "Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia." Diagnostics, vol. 14, br. 2, 2024. https://doi.org/10.3390/diagnostics14020148

Brumini, Ivan, Doris Dodig, Iva Žuža, Klaudija Višković, Armin Mehmedović, Nina Bartolović, Helena Šušak, Đurđica Cekinović Grbeša i Damir Miletić. "Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia." Diagnostics 14, br. 2 (2024). https://doi.org/10.3390/diagnostics14020148

Brumini, I., et al. (2024) 'Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia', Diagnostics, 14(2). doi: 10.3390/diagnostics14020148

Brumini I, Dodig D, Žuža I, Višković K, Mehmedović A, Bartolović N, i sur.. Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia. Diagnostics [Internet]. 08.01.2024. [pristupljeno 23.11.2024.];14(2). doi: 10.3390/diagnostics14020148

I. Brumini, et al., "Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia", Diagnostics, vol. 14, br. 2, Siječanj 2024. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:184:832298. [Citirano: 23.11.2024.]

Za citiranje koristite ovu mrežnu adresu: https://urn.nsk.hr/urn:nbn:hr:184:832298
Podaci o radu
Naslov (engleski)Validation of Diagnostic Accuracy and Disease Severity Correlation of Chest Computed Tomography Severity Scores in Patients with COVID-19 Pneumonia
AutorIvan Brumini
AutorDoris Dodig
AutorIva Žuža
AutorKlaudija Višković
AutorArmin Mehmedović
AutorNina Bartolović
AutorHelena Šušak
AutorĐurđica Cekinović Grbeša
AutorDamir Miletić
Autorova ustanovaSveučilište u Rijeci
Fakultet zdravstvenih studija
Znanstveno / umjetničko
područje, polje i grana		BIOMEDICINA I ZDRAVSTVO
Kliničke medicinske znanosti
Radiologija
Sažetak (engleski)
The aim of our study was to establish and compare the diagnostic accuracy and clinical applicability of published chest CT severity scoring systems used for COVID-19 pneumonia assessment and to propose the most efficient CT scoring system with the highest diagnostic performance and the most accurate prediction of disease severity. This retrospective study included 218 patients with PCR-confirmed SARS-CoV-2 infection and chest CT. Two radiologists blindly evaluated CT scans and calculated nine different CT severity scores (CT SSs). The diagnostic validity of CT SSs was tested by ROC analysis. Interobserver agreement was excellent (intraclass correlation coefficient: 0.982–0.995). The predominance of either consolidations or a combination of consolidations and ground-glass opacities (GGOs) was a predictor of more severe disease (both p < 0.005), while GGO prevalence alone was not. Correlation between all CT SSs was high, ranging from 0.848 to 0.971. CT SS 30 had the highest diagnostic accuracy (AUC = 0.805) in discriminating mild from severe COVID-19 disease compared to all the other proposed scoring systems (AUC range 0.755–0.788). In conclusion, CT SS 30 achieved the highest diagnostic accuracy in predicting the severity of COVID-19 disease while maintaining simplicity, reproducibility, and applicability in complex clinical settings.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaDiagnostics
Brojčani podacivol. 14, br. 2, 148
e-ISSN2075-4418
DOIhttps://doi.org/10.3390/diagnostics14020148
URN:NBNurn:nbn:hr:184:832298
Datum objave publikacije2024-01-08
URL dokumentahttps://www.mdpi.com/2075-4418/14/2/148
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Datum i vrijeme pohrane2024-02-26 08:33:11