NCT07655648已完成不适用
Dual-tracer PET/CT Interpretable Radiomics for Pathological Classification and Prognostic Stratification of Prostate Cancer
Xiangya Hospital of Central South University1 个研究点 分布在 1 个国家目标入组 100 人开始时间: 2020年1月1日最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 100
- 试验地点
- 1
研究概览
简要总结
This single-center retrospective study aims to develop an interpretable radiomics model based on dual-tracer PET/CT to preoperatively predict the postoperative pathological Gleason grade group in treatment-naïve prostate cancer patients. A machine learning-based three-class prediction model will be constructed and interpreted using SHAP. Its performance will be compared with systematic biopsy results, assessing grading accuracy and prognostic value for biochemical recurrence-free 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
- Male
- 接受健康志愿者
- 否
入选标准
- •Treatment-naïve prostate cancer with subsequent radical prostatectomy (RP)
- •Availability of presurgical dual-tracer PET/CT images, biopsy, and RP pathology data
排除标准
- •Unavailability of imaging or pathological data
- •PET/CT performed after any prostate cancer-related treatment
- •Interval between PET and biopsy > 3 months
- •Interval between biopsy and RP > 1 month
研究者
Yongxiang Tang
Prof.
Xiangya Hospital of Central South University
研究点 (1)
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