Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia
Abstract 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 assig...
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Nature Portfolio
2021
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oai:doaj.org-article:6995d148b5574b1186ee2dcfeed31cdb2021-12-02T15:53:46ZQuantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia10.1038/s41598-021-84561-72045-2322https://doaj.org/article/6995d148b5574b1186ee2dcfeed31cdb2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-84561-7https://doaj.org/toc/2045-2322Abstract 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.Xiaojun GuanLiding YaoYanbin TanZhujing ShenHanpeng ZhengHaisheng ZhouYuantong GaoYongchou LiWenbin JiHuangqi ZhangJun WangMinming ZhangXiaojun XuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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Medicine R Science Q Xiaojun Guan Liding Yao Yanbin Tan Zhujing Shen Hanpeng Zheng Haisheng Zhou Yuantong Gao Yongchou Li Wenbin Ji Huangqi Zhang Jun Wang Minming Zhang Xiaojun Xu Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |
| description |
Abstract 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. |
| format |
article |
| author |
Xiaojun Guan Liding Yao Yanbin Tan Zhujing Shen Hanpeng Zheng Haisheng Zhou Yuantong Gao Yongchou Li Wenbin Ji Huangqi Zhang Jun Wang Minming Zhang Xiaojun Xu |
| author_facet |
Xiaojun Guan Liding Yao Yanbin Tan Zhujing Shen Hanpeng Zheng Haisheng Zhou Yuantong Gao Yongchou Li Wenbin Ji Huangqi Zhang Jun Wang Minming Zhang Xiaojun Xu |
| author_sort |
Xiaojun Guan |
| title |
Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |
| title_short |
Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |
| title_full |
Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |
| title_fullStr |
Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |
| title_full_unstemmed |
Quantitative and semi-quantitative CT assessments of lung lesion burden in COVID-19 pneumonia |
| title_sort |
quantitative and semi-quantitative ct assessments of lung lesion burden in covid-19 pneumonia |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/6995d148b5574b1186ee2dcfeed31cdb |
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