• 1. Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, P. R. China;
  • 2. Department of Respiratory and Critical Care Medicine, Peking University Third Hospital, Beijing 100191, P. R. China;
  • 3. Department of Radiology, Peking University Third Hospital, Beijing 100191, P. R. China;
  • 4. Neusoft Medical Systems Co., Ltd., Shenyang, Liaoning 110167, P. R. China;
  • 5. State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The National Center for Respiratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong 510120, P. R. China;
SHEN Ning, Email: shenning1972@126.com
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Objective  To investigate the feasibility of diagnosis of potential chronic obstructive pulmonary disease (COPD) patients who cannot finish the pulmonary function test via biphasic CT scan. Methods  Sixty-seven male individuals aged 43 to 74 (57.0±5.9) years were divided into a COPD group (n=26) and a control group (n=41). All individuals underwent biphasic quantitative CT scan for calculating the proportion of emphysema, functional small airway disease, and normal component of the whole lung and each lobe. Results  Based on principle component analysis, two principal components “imaging feature function 1 and imaging feature function 2” were calculated and analyzed by logistic regression, which found that imaging feature function 1 was an independent risk factor of COPD (odds ratio=8.749, P<0.001), and imaging features function 1 could be used to assist the diagnosis of COPD (area under receiver operating characteristic curve=0.843, P<0.001). Conclusion  Imaging features function 1 is an independent risk factor for COPD and can assist the diagnosis of COPD.

Citation: WU Zhangli, WU Zhenchao, WANG Wenting, WU Nan, YANG Ping, LIANG Cuixia, CHEN Deyan, XU Jiaxuan, ZHENG Jingping, WANG Xiaohua, HE Bei, SHEN Ning. The value of biphasic CT in the diagnosis of chronic obstructive pulmonary disease. Chinese Journal of Respiratory and Critical Care Medicine, 2022, 21(2): 77-83. doi: 10.7507/1671-6205.202111022 Copy

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