NCT06088134招募中不适用
Urology Department of the First Affiliated Hospital of Chongqing Medical University
Mingzhao Xiao1 个研究点 分布在 1 个国家目标入组 800 人开始时间: 2022年9月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 800
- 试验地点
- 1
- 主要终点
- disease-free survival (DFS)
研究概览
简要总结
This study aims to preoperatively predict DFS of patients with localised ccRCC using a deep learning prognostic model based on enhanced contrast CT images, validate it's predictive ability in multicentre data and compare it's predictive ability with traditional models.
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
- •underwent partial/radical nephrectomies
- •histologically diagnosed as ccRCC
- •with complete clinical data and preoperative CT image data
排除标准
- •with incomplete clinic-pathological data
- •lack of preoperative contrast-enhanced CT images or the image quality was unsuitable for analysis
- •who received pre-surgery neoadjuvant or adjuvant therapies
- •with multiple renal tumors or/and had synchronous metastasis
结局指标
主要结局
disease-free survival (DFS)
时间窗: recruitment occurred between June 2013 and March 2020
the interval from the date of surgery to disease recurrence, all-cause mortality or the last visit
次要结局
未报告次要终点
研究者
Mingzhao Xiao
Urology Department
First Affiliated Hospital of Chongqing Medical University
研究点 (1)
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