Prospective Validation of Pathology-based Artificial Intelligence Diagnostic Model for Lymph Node Metastasis in Prostate Cancer

Status: Recruiting
Location: See location...
Intervention Type: Diagnostic test
Study Type: Observational
SUMMARY

The goal of this diagnostic test is to prospectively test the performance of pre-developed artificial intelligence (AI) diagnostic model for detecting pathological lymph node metastasis (LNM) of prostate cancer. Investigators had developed this AI model based on deep learning algorithms in preliminary research, and it performed well in retrospective tests. Investigators will compare the diagnostic performance (sensitivity, specificity, etc.) of the AI model and routine pathological report issued by pathologists, to see if the AI model can improve the clinical workflow of pathological evaluation of LNM in prostate cancer in the real world.

Eligibility
Participation Requirements
Sex: Male
Healthy Volunteers: f
View:

• Patients with prostate cancer, undergoing radical prostatectomy and pelvic lymph node dissection.

• Patients with complete clinical and pathological information.

Locations
Other Locations
China
Sun Yat-sen Memorial Hospital of Sun Yat-sen University
RECRUITING
Guangzhou
Contact Information
Primary
Tianxin Lin, Ph.D
lintx@mail.sysu.edu.cn
13724008338, China
Backup
Shaoxu Wu, MD
wushx29@mail.sysu.edu.cn
15017581087, China
Time Frame
Start Date: 2024-01-12
Estimated Completion Date: 2025-12-31
Participants
Target number of participants: 100
Treatments
Patients undergoing PLND
Patients (will) undergo radical prostatectomy and pelvic lymph node dissection
Related Therapeutic Areas
Sponsors
Leads: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University

This content was sourced from clinicaltrials.gov