NCT07059923招募中不适用
Predicting Immunotherapy Response and Survival of Lung Cancer Patients Using Artificial Intelligence and Radiomics (Radiology-AI-Lung)
Wuhan Union Hospital, China1 个研究点 分布在 1 个国家目标入组 400 人开始时间: 2025年7月1日最近更新:
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 400
- 试验地点
- 1
- 主要终点
- Progression-free survival
研究概览
简要总结
CT imaging data from lung cancer (NSCLC and SCLC) patients prior to the initiation of immunotherapy (and possibly also after treatment) will be collected. The processing pipeline includes automatic tumor segmentation, radiomics feature extraction, feature selection, and construction of a classification model.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Patients were treated for lung cancer in Wuhan Union Hospital from July 2025 to July 2026;
- •Aged > 18 years old;
- •At least one CT scan before treatment;
- •Tissue biopsy pathological examination confirmed the diagnosis of the above tumors.
- •Exclusion criteria:
- •Poor image quality;
- •Incomplete clinical data or loss of follow-up;
- •Presence of another primary malignancy other than lung cancer;
- •Unclear pathological diagnosis.
排除标准
- 未提供
结局指标
主要结局
Progression-free survival
时间窗: 1 year
disease-free survival
时间窗: 1 year
overall survival
时间窗: 1 year
次要结局
未报告次要终点
研究者
研究点 (1)
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