Contrast-enhanced CT based radiomics for prediction of 3-year disease progression in NSCLC patients after anti-PD-1-targeted therapy☆
Wen Huang, Min-jia Lin, Yi-ting He, Hong Zhou, Yi Chen, Min Zong · 2026
Read Contrast-enhanced CT based radiomics for prediction of 3-year disease progression in NSCLC patients after anti-PD-1-targeted therapy☆ by Wen Huang, Min-jia Lin, Yi-ting He, Hong Zhou, Yi Chen, Min Zong (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/PMC13311916.txt.
Description
Wen Huang and colleagues present a 2026 study building a CT scan model to predict three-year disease worsening in lung cancer patients on anti-PD-1 therapy. Scan texture features, called radiomics, supply the raw material.
The study drew 173 patients with non-small-cell lung cancer on such therapy. Features from target tumors joined clinical traits in the model. COPD and tumor stage stood out among clinical predictors. The combined model scored accuracy values of 0.802 in training and 0.836 in testing in this study. A chart form of the model beat single-source versions on clinical benefit measures.
Catalog record
| CREATOR | Wen Huang, Min-jia Lin, Yi-ting He, Hong Zhou, Yi Chen, Min Zong |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36853 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |