RecruitingNCT07614256

Multimodal Imaging and Digital Pathology for Prostate Cancer Prediction

A Multicenter Study of a Deep Learning Model Based on Spatial Registration of Multimodal Imaging and Digital Pathology for Predicting Clinically Significant Prostate Cancer

Sponsor

Guangxi Medical University

Enrollment

3,000 participants

Start Date

May 30, 2025

Study Type

OBSERVATIONAL

Conditions

Prostate Cancer (Diagnosis)Clinically Significant Prostate Cancer

Summary

This is a multicenter observational study. A deep learning model integrated with multimodal imaging and digital pathology spatial registration is built based on preoperative multiparametric magnetic resonance imaging, transrectal ultrasound and postoperative digital pathological whole slide images. The study is designed to achieve accurate prediction of clinically significant prostate cancer and non-invasive risk stratification. Unnecessary prostate biopsy and overdiagnosis can be reduced to support the optimization of clinical diagnosis and treatment strategies.

Eligibility

Sex: MALEMin Age: 40 YearsMax Age: 90 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying No Intervention: Observational Cohort for people with clinically significant prostate cancer and prostate cancer (diagnosis). The study is currently recruiting participants at 1 location. People eligible for this study include men aged 40 Years to 90 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

OTHERNo Intervention: Observational Cohort

This is an observational study. No new treatment, drug, device, or procedure is being administered to participants. Only standard-of-care clinical data, imaging, and pathology records are collected and analyzed.