Abstract: Objective: To investigate the imaging features of multi-slice spiral computed tomography (MSCT) in the novel coronavirus pneumonia (COVID-19) patients with different prognosis, and to clarify the influencing factors of the prognosis of COVID-19. Methods: The clinical data and the chest MSCT volume scan data of 79 COVID-19 patients, who were admitted in the First Affiliated Hospital of Bengbu Medical College from January 22 to March 8, 2020, were retrospectively analyzed. According to whether there was extensive fibrosis on the MSCT images at discharge or death, the patients were divided into poor prognosis group and well prognosis group. The differences in the MSCT features, the general data and the clinical and laboratory indexes of the patients with different prognosis were compared. Results: There were 74 cases cured in 79 patients, and 5 cases died and the morbidity was 6.3%. The MSCT features at discharge or death were dissipation or ground glass shadow (27 cases, 34.2%), mixed shadow (41 cases, 51.9%) and extensive fibrosis (11 cases, 13.9%).The results of single factor analysis showed that compared with well prognosis group, the number of involved segments of the lung of the patients in poor prognosis group was increased (P<0.05), the temperature was increased(P<0.05), and the percentages of patients with diffuse lesions,the severe patients and the patients with increased white blood cells were increased(P<0.05). The sensitivity and specificity of the number of involved segments for predicting poor prognosis were 72.7% and 80.9%, respectively, while the cut-off value was 9.5. The sensitivity and specificity of temperature for predicting poor prognosis were 54.5% and 92.6%, respectively, while the cut-off value was 39.1℃.The results of Logistic regression analysis showed that the number of involved segments and temperature were the independent risk factors for the poor prognosis of the COVID-19 patients. Conclusion: The number of involved segments in the MSCT images at admission and the temperature are closely related to the prognosis of COVID-19 patients. The number of involved segments more than 9 and the temperature higher than 39.1℃ indicate that the patients are prone to extensive pulmonary fibrosis and poor prognosis.

Key words: novel coronavirus pneumonia, computed tomography, prognosis, sensitivity, specificity