Objective:To investigate the specific chest computed tomography(CT) features of corona virus disease 2019 (COVID-19) and to evaluate its clinical diagnostic value.Methods:The clinical data of 35 cases with suspected COVID-19 from Shanghai Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine and Shanghai East Hospital Affiliated to Tongji University from January 1 to February 14, 2020 were retrospectively analyzed. A total of 17 cases with positive results of two times of real time polymerase chain reaction (RT-PCR) for 2019 novel coronavirus (2019-nCoV) were evaluated as the case group, and the remaining 18 cases with negative results of two times of RT-PCR for 2019-nCoV were evaluated as the control group. The features of chest CT images of 35 cases were obtained. The frequencies of four CT imaging indicators including ground glass opacities (GGO), crazy paving, heterogeneous consolidation and mutiple subpleural lesions were analyzed. The sensitivity, specificity, positive predictive values (PPV) and negative predictive value (NPV) for COVID-19 were calculated.Results:In the case group, there were 11 cases with GGO, seven cases with crazy paving, six cases with heterogeneous consolidation, and 16 cases with mutiple subpleural lesions, while in the control group, there were seven cases with GGO, one case with crazy paving, six cases with heterogeneous consolidation, and five cases with mutiple subpleural lesions. When multiple subpleural lesions or any two of the CT imaging indicators were used as the characteristic indicators, the diagnosis efficiencies were better, with the sensitivity, specificity, PPV, NPV and Youden index of 94.12%, 72.22%, 76.19%, 98.86% and 0.66, respectively, and 88.24%, 77.78%, 78.95%, 87.50% and 0.66, respectively.Conclusions:Chest CT indictors are of high clinical diagnostic value for COVID-19. Any two of the four CT indicators (GGO, crazy paving, heterogeneous consolidation and mutiple subpleural lesions) or the single characteristics (mutiple subpleural lesions) are of high diagnostic efficacy.