CT Differential Diagnosis of COVID-19 and Non-COVID-19 in Symptomatic Suspects: A Practical Scoring Method
Abstract BackgroundAlthough typical and atypical CT image findings are reported in current studys, overlapping CT image features with viral pneumonia and other respiratory diseases also make difficulties on exclusion diagnosis. To explore a CT practical scoring system to differentia suspected COVID-19 in general hospital.MethodsThirty confirmed cases of COVID-19 and fourty-three cases of other etiology or clinical confirmed non-COVID-19 in a general hospital were included. The clinical data including age, sex, exposure history and laboratory parameters of all patients were collected. Seven positive signs (posterior part/ lower lobe predilection, bilateral involvement, rounded GGO, subpleural bandlike GGO, crazy-paving pattern, peripheral distribution, GGO +/- consolidation) from significant COVID-19 CT image features and four negative signs (only one lobe involvement, only central distribution, tree-in-bud sign, bronchial wall thickening) from other pneumonia significant image features were set. Scoring analysis of CT features were compared between the two groups (COVID-19 and non-COVID-19).ResultsOlder age, symptoms of diarrhea, exposure history of Wuhan, lower level of white blood cell and lymphocyte count were significantly suggestive of COVID-19 rather than Non- COVID-19 (p<0.05). The receiver operating characteristic (ROC) curve of combined CT image features analysis revealed area under the curves (AUC) of the scoring system was 0.854. These cut-off values yielded a sensitivity of 56.67% and a specificity of 95.35% for Score>4, a sensitivity of 100% and a specificity of 23.26% for Score>0, and a sensitivity of 86.67% and a specificity of 67.44% for score>2.ConclusionsWith a simple and practical scoring system based on the CT image features, we can make a hierarchical diagnosis on COVID-19 and non-COVID-19 with different management suggestion.