Computer-aided quantitative stromal analysis: a comprehensive investigation of its prognostic significance in lung squamous cell carcinoma
CA-driven quantitative TSR analysis enables objective and efficient assessment of the stromal ratio in LUSC. The CA-TSR score serves as an independent prognostic predictor, significantly enhancing survival prediction accuracy compared to conventional methods.
Authors
- Jin Chen (ORCID: https://orcid.org/0000-0002-5557-2079)
- D D Zhang
- Xiaodong Bu (ORCID: https://orcid.org/0000-0001-6868-0282)
- Fanqing Meng (ORCID: https://orcid.org/0000-0002-5050-9249)
- Qitang Huang
- Xin Zhang
- Chun Xu
- Qi Sun
- Wei Li
- Jun Yang
- Anning Feng
- Yuqing Li
Institutions
- Nanjing Drum Tower Hospital (CN)
- Southeast University (CN)
Publication Details
- Journal
- Translational Lung Cancer Research
- Published
- 2025-12-01
- DOI
- https://doi.org/10.21037/tlcr-2025-950
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00