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Evaluation of Large Language Model Driven Automated VI-RADS Scoring from Pelvic MRI Reports

Evaluation of Large Language Model Driven Automated VI-RADS Scoring from Pelvic MRI Reports

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600122557
Enrollment
Unknown
Registered
2026-04-15
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-04-20

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

Conditions

Bladder cancer

Interventions

Bladder cancer group:None

Sponsors

The Second Affiliated Hospital of Harbin Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years; 2. No history of prior malignancy or coexistence of other malignant tumors; 3. Underwent high-resolution pelvic MRI examination.

Exclusion criteria

Exclusion criteria: 1. Patients who received treatment (radiotherapy, chemotherapy, or chemoradiotherapy) prior to MRI examination; 2. Patients with poor image quality that precludes image analysis; 3. Patients lacking imaging or clinical data.

Design outcomes

Primary

MeasureTime frame
The Vesical Imaging-Reporting and Data System Score;Accuracy;—

Secondary

MeasureTime frame
Consistency;—

Countries

China

Contacts

Public ContactJiang Hao

The Second Affiliated Hospital of Harbin Medical University

hydeyjh@hrbmu.edu.cn+86 451 8660 5576

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Apr 23, 2026