deli zhao

and 6 more

Objectives To study the CT diagnosis of COVID-19 that was based on the imaging features of secondary pulmonary lobular structure. Materials and methods After institutional review board approval and informed consent, 139 cases with suspected COVID-19 who undergone CT were retrospectively analyzed. Based on the anatomical structure of pulmonary lobule, the imaging features of secondary pulmonary lobular structure on CT images was defined and built simulation diagrams serve as a unified standard. The imaging performance of confirmed 103 cases was evaluated for diagnosis of COVID-19. Results Of these 139 cases, 103 cases were confirmed for COVID-19, 36 cases were confirmed for other diseases.The sensitivity, specificity and accuracy of CT are 83.33%, 20.39%, 80.58%,Of the 103 COVID-19 cases, 82(79.61%) cases were typical cases and 21(20.39%)cases were atypical cases. 65(63.11% ) cases were in the early or advanced stage, 26(25.24%) cases were in the severe or recovery stage, and 12(11.65%)were in multiple stages. The scores of pulmonary lobular structure in typical COVID-19 (3.42±1.25) were significant different compared with atypical COVID-19 (1.51±1.34, P<0.001). The inter-observer agreement for the score of secondary pulmonary lobular structure was excellent (kappa = 0.863, P<0.05). Conclusion To recognize the CT common imaging signs of secondary pulmonary lobular structure in COVID-19 can deepen the understanding of COVID-19 from the basis of image anatomy, and screen suspected cases and provide imaging basis for diagnosis and differential diagnosis.

deli zhao

and 6 more