Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia

被引:21
作者
Guan, Xiaojun [1 ]
Yao, Liding [1 ]
Tan, Yanbin [1 ]
Shen, Zhujing [1 ]
Zheng, Hanpeng [2 ]
Zhou, Haisheng [2 ]
Gao, Yuantong [3 ,4 ]
Li, Yongchou [3 ,4 ]
Ji, Wenbin [5 ]
Zhang, Huangqi [5 ]
Wang, Jun [6 ]
Zhang, Minming [1 ]
Xu, Xiaojun [1 ]
机构
[1] Zhejiang Univ, Sch Med, Affiliated Hosp 2, Dept Radiol, 88 Jiefang Rd, Hangzhou 31009, Peoples R China
[2] Yueqing Peoples Hosp, Dept Radiol, Wenzhou, Zhejiang, Peoples R China
[3] Wenzhou Med Univ, Affiliated Hosp 3, Dept Radiol, Ruian, Zhejiang, Peoples R China
[4] Wenzhou Med Univ, Ruian Peoples Hosp, Ruian, Zhejiang, Peoples R China
[5] Taizhou Hosp Zhejiang Prov, Dept Radiol, Taizhou, Zhejiang, Peoples R China
[6] Shanghai Jiao Tong Univ, Sch Biomed Engn, Shanghai, Peoples R China
关键词
ACUTE RESPIRATORY SYNDROME; BRITISH SOCIETY; RELIABILITY;
D O I
10.1038/s41598-021-84561-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study aimed to clarify and provide clinical evidence for which computed tomography (CT) assessment method can more appropriately reflect lung lesion burden of the COVID-19 pneumonia. A total of 244 COVID-19 patients were recruited from three local hospitals. All the patients were assigned to mild, common and severe types. Semi-quantitative assessment methods, e.g., lobar-, segmental-based CT scores and opacity-weighted score, and quantitative assessment method, i.e., lesion volume quantification, were applied to quantify the lung lesions. All four assessment methods had high inter-rater agreements. At the group level, the lesion load in severe type patients was consistently observed to be significantly higher than that in common type in the applications of four assessment methods (all the p<0.001). In discriminating severe from common patients at the individual level, results for lobe-based, segment-based and opacity-weighted assessments had high true positives while the quantitative lesion volume had high true negatives. In conclusion, both semi-quantitative and quantitative methods have excellent repeatability in measuring inflammatory lesions, and can well distinguish between common type and severe type patients. Lobe-based CT score is fast, readily clinically available, and has a high sensitivity in identifying severe type patients. It is suggested to be a prioritized method for assessing the burden of lung lesions in COVID-19 patients.
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页数:9
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共 28 条
[1]   MEASUREMENT AND RELIABILITY - STATISTICAL THINKING CONSIDERATIONS [J].
BARTKO, JJ .
SCHIZOPHRENIA BULLETIN, 1991, 17 (03) :483-489
[2]   Pulmonary sequelae in convalescent patients after severe acute respiratory syndrome: Evaluation with thin-section CT [J].
Chang, YC ;
Yu, CJ ;
Chang, SC ;
Galvin, JR ;
Liu, HM ;
Hsiao, CH ;
Kuo, PH ;
Chen, KY ;
Franks, TJ ;
Huang, KM ;
Yang, PC .
RADIOLOGY, 2005, 236 (03) :1067-1075
[3]   Clinical and immunological features of severe and moderate coronavirus disease 2019 [J].
Chen, Guang ;
Wu, Di ;
Guo, Wei ;
Cao, Yong ;
Huang, Da ;
Wang, Hongwu ;
Wang, Tao ;
Zhang, Xiaoyun ;
Chen, Huilong ;
Yu, Haijing ;
Zhang, Xiaoping ;
Zhang, Minxia ;
Wu, Shiji ;
Song, Jianxin ;
Chen, Tao ;
Han, Meifang ;
Li, Shusheng ;
Luo, Xiaoping ;
Zhao, Jianping ;
Ning, Qin .
JOURNAL OF CLINICAL INVESTIGATION, 2020, 130 (05) :2620-2629
[4]  
Chen T, 2020, BMJ-BRIT MED J, V368, DOI [10.1136/bmj.m1091, 10.1136/bmj.m1295]
[5]   Outcomes and prognostic factors in 267 patients with severe acute respiratory syndrome in Hong Kong [J].
Choi, KW ;
Chau, TN ;
Tsang, O ;
Tso, E ;
Chiu, MC ;
Tong, WL ;
Lee, PO ;
Ng, TK ;
Ng, WF ;
Lee, KC ;
Lam, W ;
Yu, WC ;
Lai, JY ;
Lai, ST .
ANNALS OF INTERNAL MEDICINE, 2003, 139 (09) :715-723
[6]   CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) [J].
Chung, Michael ;
Bernheim, Adam ;
Mei, Xueyan ;
Zhang, Ning ;
Huang, Mingqian ;
Zeng, Xianjun ;
Cui, Jiufa ;
Xu, Wenjian ;
Yang, Yang ;
Fayad, Zahi A. ;
Jacobi, Adam ;
Li, Kunwei ;
Li, Shaolin ;
Shan, Hong .
RADIOLOGY, 2020, 295 (01) :202-207
[7]   The Role of Imaging in the Detection and Management of COVID-19: A Review [J].
Dong, Di ;
Tang, Zhenchao ;
Wang, Shuo ;
Hui, Hui ;
Gong, Lixin ;
Lu, Yao ;
Xue, Zhong ;
Liao, Hongen ;
Chen, Fang ;
Yang, Fan ;
Jin, Ronghua ;
Wang, Kun ;
Liu, Zhenyu ;
Wei, Jingwei ;
Mu, Wei ;
Zhang, Hui ;
Jiang, Jingying ;
Tian, Jie ;
Li, Hongjun .
IEEE REVIEWS IN BIOMEDICAL ENGINEERING, 2021, 14 :16-29
[8]  
Feng ZJ, 2020, CHINA CDC WEEKLY, V2, P113, DOI [10.3760/cma.j.issn.0254-6450.2020.02.003, 10.46234/ccdcw2020.032]
[9]  
General Office of National Health Committee C, 2020, ARXIV PREPRINT ARXIV
[10]   The continuing evolution of COVID-19 imaging pathways in the UK: a British Society of Thoracic Imaging expert reference group update [J].
Hare, S. S. ;
Rodrigues, J. C. L. ;
Nair, A. ;
Jacob, J. ;
Upile, S. ;
Johnstone, A. ;
Mcstay, R. ;
Edey, A. ;
Robinson, G. .
CLINICAL RADIOLOGY, 2020, 75 (06) :399-404