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Development and Prospective Validation of a Pathology-Based Artificial Intelligence Model for Predicting the Time to Castration Resistance of Prostate Cancer

NCT07376057 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 150

Last updated 2026-01-29

No results posted yet for this study

Summary

The goal of this predictive test is to prospectively test the performance of pre-developed artificial intelligence (AI) predictive model for predicting the time to castration resistance of prostate cancer. Investigators had developed this AI model based on deep learning algorithms in preliminary research, and it performed well in retrospective tests.

Conditions

  • Prostatic Neoplasms, Castration-Resistant

Interventions

OTHER

Artificial intelligence (AI)-based predictive model (developed)

Collect pathological slides of prostate biopsy of the enrolled patients. Digitise these slides into whole-slide images (WSIs). Analyze the WSIs using the AI model to generate predictive results (within 12 months, between 12 to 24months or over 24 months). No intervention to patients would be performed in this predictive test study.

Sponsors & Collaborators

  • Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

    lead OTHER

Principal Investigators

  • Shaoxu Wu, Ph.D · Department of Urology of Sun Yat-sen Memorial Hospital of Sun Yat-sen University

Eligibility

Min Age
18 Years
Sex
MALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2026-01-01
Primary Completion
2028-12-31
Completion
2028-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07376057 on ClinicalTrials.gov