Application of Artificial Intelligence Measurement Index in CT Differential Diagnosis of
Coronavirus Disease 2019
LI Dasheng1a, WANG Nana1a, DONG Jianping1b, HUO Zhiyi1a, PEI Lijun2
, LIU Xi3
1. a. Departments of Radiology; b. Departments of Infection, Beijing Haidian Hospital, Beijing Haidian Section of Peking University
Third Hospital, Beijing 100080, China; 2. Institute of Population Research, Peking University, Beijing 100871, China;
3. United Imaging Intelligence (Beijing) Co., Ltd., Beijing 100036, China
Abstract:Objective To explore the application value of CT images-based artificial intelligence (AI) auxiliary diagnosis system in
the differential diagnosis of coronavirus disease 2019 (COVID-19) and community acquired pneumonia (CAP). Methods A total
of 103 patients with pneumonia from January 27, 2019 to February 20, 2020 were collected, including 29 COVID-19 patients and
74 CAP patients without COVID-19. MSCT scanning was performed in both groups. CT images were evaluated by the methods of
conventional film reading and AI auxiliary diagnosis system, and the infected areas in the two groups were quantitatively measured
by AI auxiliary diagnosis system. The difference of diagnosis results between the two groups were compared. Results The
infection volume and infection percentage under AI measured density of HU (-750, -300) in the COVID-19 group were significantly
higher than that in the CAP groups (P<0.05). There was no significant difference in other measurements beteen the two groups
(P>0.05). Conclusion The results based on AI measurement can be used as a supplementary basis for identifying COVID-19 and
CAP. Combining the quantitative measurement results of AI with the manual judgment can provide a more convenient and rapid
identification of COVID-19.
李大胜1a,王娜娜1a,董建平1b,霍志毅1a,裴丽君2
,刘曦3. 基于人工智能测量指标的新型冠状病毒肺炎CT影像鉴别诊断[J]. 中国医疗设备, 2020, 35(6): 70-74.
LI Dasheng1a, WANG Nana1a, DONG Jianping1b, HUO Zhiyi1a, PEI Lijun2
, LIU Xi3. Application of Artificial Intelligence Measurement Index in CT Differential Diagnosis of
Coronavirus Disease 2019. China Medical Devices, 2020, 35(6): 70-74.