FindTrial
Sign In

A retrospective clinical study of multimodal deep learning model in predicting recurrence risk of non muscle invasive bladder cancer

A retrospective clinical study of multimodal deep learning model in predicting recurrence risk of non muscle invasive bladder cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500106799
Enrollment
Unknown
Registered
2025-07-30
Start date
2025-08-01
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Urothelial carcinoma of bladder

Interventions

Observation group:None

Sponsors

Renmin Hospital of Wuhan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. The patient underwent resection surgery and the postoperative pathology was non-muscle-invasive urothelial carcinoma; 2. First electroresection surgery in the hospital; 3. The patient's medical records are complete.

Exclusion criteria

Exclusion criteria: 1. Refusal of surgery for various reasons Lack of pathological results; 2. Postoperative pathological non-urothelial carcinoma; 3. Previous history of other tumors or radiotherapy and chemotherapy; 4. Complex multi-site urothelial carcinoma; 5. Other serious complications lead to death.

Design outcomes

Primary

MeasureTime frame
Recurrence;—

Countries

China

Contacts

Public ContactCheng Fan

Renmin Hospital of Wuhan University

646064793@qq.com+86 27 8804 1911

Outcome results

None listed

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