NCT04063800已完成不适用
Prediction of the Risk of Biochemical Relapse After Radical Prostatectomy for Prostate Cancer Using Radomics on Pre-therapeutic MRI
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 195
- 试验地点
- 2
- 主要终点
- Prediction of biochemical failure
研究概览
简要总结
With 50% of post-operative biochemical failure, efficient predictive models are needed to guide post-operative management.
Radiomic features are quantitative features extracted from medical imaging, supposed to be correlated with tumor heterogeneity.
We aim to build and test three predictive models (clinical, radiomic and combined models).
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- Male
- 接受健康志愿者
- 否
入选标准
- •Age > 18yo
- •Patients underwent radical prostatectomy
- •High-risk prostate cancers: at least 1 criteria (pt3a/pT3b/pT4, R1, Gleason score > 7)
排除标准
- •No available pre-operative MRI
- •No analyzable pre-operative MRI
- •proof of lymph-node involvement (cN1/2 or pN1/2)
- •post-operative PSA > 0.04ng/mL
结局指标
主要结局
Prediction of biochemical failure
时间窗: From the date of surgery until data collection (up to 100 months)
Comparison of AUCs between each predictive model
次要结局
- Prediction of survival without biochemical failure(From the date of surgery until data collection (up to 100 months))
研究者
研究点 (2)
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