Open AccessCOVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging
Author(s) -
Naciye Sinem Gezer,
Begüm Ergan,
Mustafa Barış,
Özgür Appak,
Ayça Arzu Sayıner,
Pınar Balcı,
Ziya Kuruüzüm,
Sema Alp Çavuş,
Oğuz Kılınç
Publication year - 2020
Publication title -
diagnostic and interventional radiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.754
H-Index - 43
eISSN - 1305-3612
pISSN - 1305-3825
DOI - 10.5152/dir.2020.20351
Subject(s) - medicine , covid-19 , indeterminate , radiology , retrospective cohort study , computed tomography , kappa , predictive value , predictive value of tests , positive predicative value , nuclear medicine , pathology , outbreak , disease , infectious disease (medical specialty) , linguistics , philosophy , mathematics , pure mathematics
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.