Multiparameter body composition analysis on chest CT predicts clinical outcomes in resectable non-small cell lung cancer
Multiparameter body composition analysis is associated with the clinical outcome in NSCLC patients. Assessing muscle mass, quality, and adipose tissue helps predict overall survival in NSCLC. The quantity and distribution of body composition can contribute to unraveling the adiposity paradox.
Authors
- Yuanming Jiang (ORCID: https://orcid.org/0000-0002-9243-1734)
- Lan Luo (ORCID: https://orcid.org/0000-0001-5027-6003)
- Hanxue Cun
- Yancui Zhu (ORCID: https://orcid.org/0000-0002-3253-722X)
- Zhanglin Mou
- Xin Chen (ORCID: https://orcid.org/0000-0002-5406-4136)
- Zhuang Yu (ORCID: https://orcid.org/0000-0003-1676-135X)
- Bo He (ORCID: https://orcid.org/0000-0002-0818-9448)
- Zhenguang Zhang (ORCID: https://orcid.org/0009-0005-5013-0107)
- Chunmei Du
- Zaiyi Liu (ORCID: https://orcid.org/0000-0002-9307-8522)
- Yilong Huang
Institutions
- Kunming Medical University (CN)
- Key Laboratory of Guangdong Province (CN)
- Guangdong Academy of Sciences (CN)
- Guangzhou First People's Hospital (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
- South China University of Technology (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2025-02-06
- DOI
- https://doi.org/10.1186/s13244-025-01910-0
- Citations
- 11
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 12.81
Funders
- National Natural Science Foundation of China
- National Science Fund for Distinguished Young Scholars