Prostate CancerCastration-Resistant Prostate Cancer
Study summary
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.
Eligibility
Sex
MALE
Min age
18 Years
Max age
80 Years
Healthy volunteers
No
Inclusion Criteria:
* (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).
Exclusion Criteria:
* (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.
Primary outcome measure(s)
Prediction of CRPC Progression Risk in the ADT Treatment Group — 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 — 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.
Trial sites (1)
Facility
City
Region
Status
Guangxi Medical University First Affiliated Hospital
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
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