Development of a multifactorial prediction model for symptomatic radiation pneumonitis in lung cancer patients undergoing stereotactic body radiotherapy
Xiong Yang, Quncai Wang, Changli Ruan, Luzhou Wang, Hongyun Gong, David Huang · 2026
Read Development of a multifactorial prediction model for symptomatic radiation pneumonitis in lung cancer patients undergoing stereotactic body radiotherapy by Xiong Yang, Quncai Wang, Changli Ruan, Luzhou Wang, Hongyun Gong, David Huang (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-13371343.txt.
Description
Xiong Yang and colleagues build a risk score for symptomatic radiation pneumonitis after lung stereotactic radiotherapy in a 2026 study. This lung inflammation is a serious side effect, yet existing prediction tools are either too complex for clinic use or too simple to trust. The team reviewed 120 patients with primary lung cancer treated between 2019 and 2024.
Twenty-four demographic, clinical, volume, and dose variables were screened, then refined to remove overlapping predictors. The goal is a practical pre-treatment score that sorts patients by risk before therapy starts. Such a score could help doctors adjust dose plans, watch high-risk patients closely, and discuss lung risks honestly before treatment.
Catalog record
| CREATOR | Xiong Yang, Quncai Wang, Changli Ruan, Luzhou Wang, Hongyun Gong, David Huang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 40 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |