Associations of derived inflammatory, lipid, and anthropometric indices with CT-detected pulmonary nodules: a hospital-based cross-sectional study with explainable machine learning
Mengmeng Wang, Yanyan Zhou, Beibei Wu, Yuan Liu, Xiao Luo, Anan Zhang · 2026
Read Associations of derived inflammatory, lipid, and anthropometric indices with CT-detected pulmonary nodules: a hospital-based cross-sectional study with explainable machine learning by Mengmeng Wang, Yanyan Zhou, Beibei Wu, Yuan Liu, Xiao Luo, Anan Zhang (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13574705.txt.
Description
Mengmeng Wang and co-authors test whether routine blood and body indexes predict lung nodules found on health-check CT scans, in a 2026 study. The sample held 1,072 adults at a Shandong hospital, of whom 35.5 percent had a nodule and a tenth had a higher-risk Lung-RADS grade. Indexes blending fat distribution, lipids, immune balance, and inflammation were modeled together.
Two stood out: an atherogenic lipid index and a systemic inflammation index each raised nodule odds by about 38 percent per step. The inflammation index also tracked the higher-risk grade, though events were few. Adding the derived indexes to a basic risk model barely moved prediction accuracy, from 0.76 to 0.77. The authors present the pair as metabolic-inflammatory markers worth watching.
Catalog record
| CREATOR | Mengmeng Wang, Yanyan Zhou, Beibei Wu, Yuan Liu, Xiao Luo, Anan Zhang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 45 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |