AI-derived body composition analysis reveals muscle volume and metformin-associated adipose effects and the obesity paradox in non-small cell lung cancer
This work was supported by grants from the National Cancer Institute of the National Institutes of Health: U01CA209414 to X.W. and D.C.C., 1K99CA297010 to X.W.
Authors
- Xinan Wang (ORCID: https://orcid.org/0000-0001-5236-1105)
- Mark L. Schiebler (ORCID: https://orcid.org/0000-0002-9120-5428)
- Jiyeon Song (ORCID: https://orcid.org/0000-0002-2180-3625)
- Taiki Fukuda (ORCID: https://orcid.org/0000-0001-9173-738X)
- Hiroto Hatabu (ORCID: https://orcid.org/0000-0003-1436-2988)
- Yoshihide Nakamura (ORCID: https://orcid.org/0009-0007-4180-5509)
- Mizuki Nishino (ORCID: https://orcid.org/0000-0003-0275-0502)
- Noriaki Wada (ORCID: https://orcid.org/0009-0001-1727-293X)
- Akinori Hata (ORCID: https://orcid.org/0000-0003-1149-7094)
- David C. Christiani (ORCID: https://orcid.org/0000-0002-0301-0242)
- Yi Li (ORCID: https://orcid.org/0000-0002-1921-9534)
Institutions
- Brigham and Women's Hospital (US)
- University of Wisconsin–Madison (US)
- Harvard University (US)
- University of Michigan (US)
- Massachusetts General Hospital (US)
- Cancer Research And Biostatistics (US)
Publication Details
- Journal
- EBioMedicine
- Published
- 2025-10-29
- DOI
- https://doi.org/10.1016/j.ebiom.2025.105995
- Citations
- 1
- Primary Topic
- Nutrition and Health in Aging
- Type
- article
- Field-Weighted Citation Impact
- 1.16