Lung field-based severity score (LFSS): a feasible tool to identify COVID-19 patients at high risk of progressing to critical disease
The LFSS derived from chest CT may be a potential new tool to help identify COVID-19 patients at high risk of progressing to critical disease.
Authors
- Qinling Jiang
- Li Fan (ORCID: https://orcid.org/0000-0003-4722-3933)
- Xiuxiu Zhou (ORCID: https://orcid.org/0000-0003-2405-0566)
- Taohu Zhou (ORCID: https://orcid.org/0000-0001-6208-2249)
- Chao Zhou (ORCID: https://orcid.org/0000-0003-1785-3969)
- Wenting Tu (ORCID: https://orcid.org/0000-0003-1010-7189)
- Xiaoqing Lin (ORCID: https://orcid.org/0000-0003-4986-2835)
- Xiaoyan Xin (ORCID: https://orcid.org/0000-0003-3462-8835)
- Shiyuan Liu (ORCID: https://orcid.org/0000-0002-0470-7308)
- Jie Li (ORCID: https://orcid.org/0000-0002-7529-6040)
- Qingyang Liu (ORCID: https://orcid.org/0009-0002-8535-7203)
- Xin'ang Jiang (ORCID: https://orcid.org/0009-0009-2985-6789)
- Jun Hu (ORCID: https://orcid.org/0009-0008-5619-7742)
- Fei Yao (ORCID: https://orcid.org/0000-0002-1769-9140)
- Qianxi Jin (ORCID: https://orcid.org/0009-0006-3312-2196)
- Yueze Li
- Yi Sun (ORCID: https://orcid.org/0000-0001-6590-501X)
- Yun Wang (ORCID: https://orcid.org/0009-0008-3084-0365)
- Kang Shi
Institutions
- Shanghai University (CN)
- Weifang Medical University (CN)
- Nanjing Drum Tower Hospital (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2024-09-01
- DOI
- https://doi.org/10.21037/jtd-24-544
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Science and Technology Commission of Shanghai Municipality
- National Health Commission of the People's Republic of China