Submit Manuscript  

Article Details


The Role of CO-RADS Scoring System in the Diagnosis of COVID-19 Infection and its Correlation with Clinical Signs

Author(s):

Şenol Çomoğlu*, Sinan Öztürk, Ahmet Topçu, Fatma Kulalı, Aydın Kant, Resul Sobay, Mustafa Arslan, Hanife Şeyda Ülgür, Uğur Kostakoğlu, Eyüp Veli Küçük, Hanife Nur Karakoç, Merve Caglar, Gülsüm Uzug, Ulaş Bagcı, Ömer Faruk Özkan and Gürdal Yilmaz  

Abstract:


Background: Computed tomography (CT) evaluation systematics has become necessary to eliminate the difference of opinion among radiologists in evaluating COVID-19 CT findings.

Introduction: The objectives of this study were to evaluate the efficiency of CO-RADS scoring system in our patients with COVID-19 as well as to examine its correlation with clinical and laboratory findings.

Method: The CO-RADS category of all patients included in the study was determined by a radiologist who did not know the rtRT-PCR test result of the patients, according to the Covid-19 reporting and data system of Mathias Prokop et al.

Results: A total of 1338 patients were included. CT findings were positive in 66.3%, with a mean CO-RADS score of 3,4 ± 1,7. 444 (33.1%) of the patients were in the CO-RADS 1-2, 894 (66.9%) were in the CO-RADS 3-5 group. There were positive correlations between CO-RADS score and age, CMI, hypertension, diabetes mellitus, chronic pulmonary diseases presence of symptoms, symptom duration, presence of cough, shortness of breath, malaise, CRP, and LDH, while CO-RADS score was negatively correlated with lymphocyte count. The results of the ROC analysis suggested that those with age ≥40 years, symptom duration >2 days, CMI score >1 and/or comorbid conditions were more likely to have a CO-RADS score of 3-5.

Conclusion: The CO-RADS classification system is a CT findings assessment system that can be used to diagnose COVID-19 in patients with symptoms of cough, shortness of breath, myalgia and fatigue for more than two days.

Keywords:

COVID-19, SARS-CoV-2, Pneumonia, CO-RADS, Diagnostic imaging, Tomography

Affiliation:

Department of Infection Diseases and Clinical Microbiology, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Department of Infection Diseases and Clinical Microbiology, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Department of General Surgery, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Radiology Department, University of Health Sciences Umraniye Training and Research Hospital, Istanbul, Chest Diseases Department, Trabzon Vakfıkebir State Hospital, Trabzon, Department of Urology, Health Sciences University, Ümraniye Teaching Hospital, İstanbul, Department of Infectious Diseases and Clinical Microbiology, Amasya University, Faculty of Medicine, Amasya, Department of General Surgery, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Department of Infectious Diseases and Clinical Microbiology, Recep Tayyip Erdogan University, Faculty of Medicine, Rize, Department of Urology, Health Sciences University, Ümraniye Teaching Hospital, İstanbul, Department of Infection Diseases and Clinical Microbiology, Bitlis Tatvan State Hospital, Bitlis, Department of Infection Diseases and Clinical Microbiology, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Department of Infection Diseases and Clinical Microbiology, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Center for Research in Computer Vision, University of Central Florida, Orlando, Florida, Department of General Surgery, Health Sciences University, Umraniye Research and Education Hospital, Istanbul, Department of Infectious Diseases and Clinical Microbiology, Faculty of Medicine, Karadeniz Technical University, Trabzon



Full Text Inquiry