CT–based AI score associates with perioperative outcomes in nephron–sparing surgery for renal cell carcinoma
Lin Shengfa, Su Liqing, Chen Shu, Chen Huijian, Lin Yuying, Lin Zijie, Xia Yinfeng, Li Qianwen, Fang Zhuting, Ma Mingping, Hu Minxiong · 2025
Read CT–based AI score associates with perioperative outcomes in nephron–sparing surgery for renal cell carcinoma by Lin Shengfa, Su Liqing, Chen Shu, Chen Huijian, Lin Yuying, Lin Zijie, Xia Yinfeng, Li Qianwen, Fang Zhuting, Ma Mingping, Hu Minxiong (2025) 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-12751408.txt.
Description
Lin and co-authors build an AI score in 2025 to forecast how kidney cancer surgery will go. The surgery aims to cut the tumor while sparing the rest of the kidney. Doctors grade tumor difficulty by hand from scans, which is slow and varies by reader.
Their model reads CT scans and computes two known scores on its own, one for tumor shape and site, one for contact area. Data came from two groups of patients, split into training, check, and test sets. A mixed set of one hundred cases then tested risk forecasts for the surgery's course. An automatic, steady score could help teams plan the operation and counsel patients with less guesswork.
Catalog record
| CREATOR | Lin Shengfa, Su Liqing, Chen Shu, Chen Huijian, Lin Yuying, Lin Zijie, Xia Yinfeng, Li Qianwen, Fang Zhuting, Ma Mingping, Hu Minxiong |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |