Artificial Intelligence for Predicting Progression Risk of Castration-Resistant Prostate Cancer by Integrating Multimodal Data: A Multicenter, Retrospective Study
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 发起方
- 入组人数
- 500
- 试验地点
- 1
- 主要终点
- Prediction of CRPC Progression Risk in the ADT Treatment Group
研究概览
简要总结
This study aims to develop an artificial intelligence model to predict which patients with advanced prostate cancer are at higher risk of developing castration-resistant prostate cancer (CRPC), a more severe form of the disease. The study will use pre-treatment MRI images, biopsy pathology slides, and clinical data collected from patients who received either hormone therapy (ADT) or radical prostatectomy surgery. By integrating these different types of data, the AI model is designed to help doctors identify high-risk patients earlier, personalize treatment plans, and ultimately improve patient outcomes. This is a multicenter, retrospective study that will analyze data from over 500 patients with at least 24 months of follow-up. The performance of the model will be evaluated using standard accuracy metrics.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 80 Years（Adult, Older Adult）
- 性别
- Male
- 接受健康志愿者
- 否
入选标准
- •(1) Male, age ≥18 years; (2) Pathologically confirmed newly diagnosed advanced prostate cancer; (3) Received at least 6 months of androgen deprivation therapy OR underwent radical prostatectomy; (4) Have complete baseline MRI (T2WI, DWI, ADC) and biopsy pathology data; (5) Have complete follow-up records (at least 24 months).
排除标准
- •(1) Missing clinical information; (2) MRI images of poor quality or missing key sequences; (3) Poor quality pathological specimens; (4) Lost to follow-up or incomplete data during follow-up; (5) Concurrent other malignant tumors; (6) Prior anti-tumor therapy.
研究组 & 干预措施
ADT Treatment Group
Patients with newly diagnosed advanced prostate cancer who received at least 6 months of androgen deprivation therapy.
Radical Prostatectomy Group
Patients with localized or locally advanced prostate cancer who underwent radical prostatectomy.
结局指标
主要结局
Prediction of CRPC Progression Risk in the ADT Treatment Group
时间窗: Minimum 24 months of follow-up
Performance of the multimodal AI model in predicting progression to castration-resistant prostate cancer in patients with newly diagnosed advanced prostate cancer who received at least 6 months of androgen deprivation therapy. Metrics include AUC, accuracy, sensitivity, and specificity.
Prediction of CRPC Progression Risk in the Radical Prostatectomy Group
时间窗: Minimum 24 months of follow-up
Performance of the multimodal AI model in predicting progression to castration-resistant prostate cancer in patients with newly diagnosed advanced prostate cancer who underwent radical prostatectomy. Metrics include AUC, accuracy, sensitivity, and specificity.
次要结局
未报告次要终点
研究者
Fubo Wang
Doctor of Medicine
Guangxi Medical University