NCT07092397已完成不适用
Artificial Intelligence-based Tumor Microenvironment Analysis for Prognosis Prediction in Gallbladder Cancer
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 266
- 试验地点
- 1
- 主要终点
- Overall survival
研究概览
简要总结
This retrospective study aims to investigate the prognostic significance of artificial intelligence (AI)-powered analysis of tumor-infiltrating lymphocytes (TILs) and the tumor microenvironment (TME) in patients with resected gallbladder cancer. Using hematoxylin and eosin (H&E)-stained slides, the study quantifies spatial TME features, including TIL density, tertiary lymphoid structures, and fibroblast density, to identify potential TME-related risk factors associated with survival.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients who underwent curative surgery for gallbladder cancer.
排除标准
- •Patients who did not achieve R0 resection.
- •Patients with metastatic disease.
结局指标
主要结局
Overall survival
时间窗: From date of surgery (or diagnosis) to the date of death from any cause or the last follow-up, assessed up to 165 months
次要结局
- Disease-free survival(From date of surgery to the date of disease recurrence, assessed up to 165 months)
研究者
JooKyung Park
Professor
Samsung Medical Center
研究点 (1)
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