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Research on the Application of Imaging-Pathology-Based AI Models in Preoperative Risk Stratification and Prediction of Postoperative Biochemical Recurrence in Prostate Cancer

Research on the Application of Imaging-Pathology-Based Artificial Intelligence Models in Preoperative Risk Stratification and Prediction of Postoperative Biochemical Recurrence in Prostate Cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500115807
Enrollment
Unknown
Registered
2025-12-31
Start date
2026-01-01
Completion date
Unknown
Last updated
2026-01-05

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Prostate cancer

Interventions

Prostate Cancer Observation group:None

Sponsors

Huzhou Center Hospital
Lead Sponsor

Eligibility

Sex/Gender
Male

Inclusion criteria

Inclusion criteria: 1.Prostate cancer patients confirmed by histopathology and pathological grade confirmed by Gleason score; 2. After undergoing prostatic RP surgery and obtaining the WSI section of the case; 3. MRI examination was completed within 4 weeks before the operation, with good image quality and complete clinical information. 4. No anti-tumor treatment measures were taken before the operation.

Exclusion criteria

Exclusion criteria: 1. Image normalization and standardization cannot be carried out, making image analysis difficult. 2. Loss of postoperative follow-up or unreliable follow-up results; 3. Distant metastases occurred in the patient before the operation or within 2 weeks after the operation.

Design outcomes

Primary

MeasureTime frame
Preoperative magnetic resonance image;—

Countries

China

Contacts

Public ContactChen Peng

Huzhou Center Hospital

982495586@qq.com+86 572 255 5233

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026