Computer-aided quantitative stromal analysis: a comprehensive investigation of its prognostic significance in lung squamous cell carcinoma
Xin Zhang, Jin Chen, Xiaodong Bu, Qitang Huang, Yuqing Li, Dan Zhang, Jun Yang, Anning Feng, Fanqing Meng, Wei Li, Qi Sun, Chun Xu · 2025
Read Computer-aided quantitative stromal analysis: a comprehensive investigation of its prognostic significance in lung squamous cell carcinoma by Xin Zhang, Jin Chen, Xiaodong Bu, Qitang Huang, Yuqing Li, Dan Zhang, Jun Yang, Anning Feng, Fanqing Meng, Wei Li, Qi Sun, Chun Xu (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-12775707.txt.
Description
Xin Zhang, Jin Chen, Xiaodong Bu and colleagues tested computer-aided measurement of the tumour-stroma ratio in lung squamous cell carcinoma in 2025. The ratio of supporting tissue to tumour predicts outcomes, but scoring it by eye is subjective and hard to repeat.
In 189 patients, the automated score split patients into stroma-rich and stroma-poor groups at a median of 0.34. The stroma-rich group had clearly worse overall and disease-free survival and more advanced disease. The computer score predicted survival better than manual scoring and held up as an independent risk factor. Agreement between the two methods was only moderate, underlining why automation helps.
Catalog record
| CREATOR | Xin Zhang, Jin Chen, Xiaodong Bu, Qitang Huang, Yuqing Li, Dan Zhang, Jun Yang, Anning Feng, Fanqing Meng, Wei Li, Qi Sun, Chun Xu |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 31 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |