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Clinical Study on a Deep Learning–Based Chromosomal Instability Prediction System for Identifying High-Risk Non-Muscle-Invasive Bladder Cancer

Clinical Study on a Deep Learning–Based Chromosomal Instability Prediction System for Identifying High-Risk Non-Muscle-Invasive Bladder Cancer

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500112292
Enrollment
Unknown
Registered
2025-11-12
Start date
2025-12-01
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Bladder cancer

Interventions

High-grade non-muscle invasive bladder cancer group:None
Low-grade non-muscle invasive bladder cancer group:None
Recurrence and progression group:None
Non-recurrence and non-progression group:None

Sponsors

Shanghai General Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1.Patients aged 18 to 90 years. 2.Histopathologically confirmed non–muscle-invasive urothelial carcinoma of the bladder. 3.Availability of at least 3 years of follow-up information. 4.Normal or near-normal function of major organs (heart, liver, lung, and kidney), with a performance status (PS) score of 0–2. 5.Availability of comprehensive clinical and pathological data.

Exclusion criteria

Exclusion criteria: 1.Patients diagnosed with non-urothelial bladder carcinomas, including bladder adenocarcinoma, small cell carcinoma, clear cell carcinoma, carcinoid tumor, or muscle-invasive urothelial carcinoma. 2.Metastatic bladder cancer or cases with secondary bladder involvement from other primary malignancies. 3.Patients who have recently received other investigational or experimental treatments. 4.Patients with severe comorbidities (e.g., cardiovascular disease, hepatic or renal insufficiency) that may affect treatment outcomes. 5.Patients with incomplete pathological data or poor-quality clinical and pathological records.

Design outcomes

Primary

MeasureTime frame
Area under curve;

Secondary

MeasureTime frame
Recurrence free survival;Progression-free survival;

Countries

China

Contacts

Public ContactHaitao Liu

Shanghai General Hospital

doctorlht69@163.com+86 153 0165 5608

Outcome results

None listed

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