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A Preliminary Study on Deep Learning-Based Reconstruction for Improving Bladder FOCUS-MUSE-DWI Image Quality

A Preliminary Study on Deep Learning-Based Reconstruction for Improving Bladder FOCUS-MUSE-DWI Image Quality

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500100030
Enrollment
Unknown
Registered
2025-04-02
Start date
2025-04-08
Completion date
Unknown
Last updated
2025-04-07

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

Conditions

Bladder Cancer

Interventions

Bladder FOCUS-MUSE-DWI raw sequence:None
Bladder rapid FOCUS-MUSE-DWI sequence combined with DLR (experimental group):None
The experimental group using the Bladder Rapid FOCUS-MUSE-DWI sequence.:None

Sponsors

The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
16 Years to 80 Years

Inclusion criteria

Inclusion criteria: 1. Patients clinically suspected of bladder cancer based on medical history, clinical symptoms, and relevant diagnostic examinations; 2. No history of bladder biopsy or surgical procedures within 2 weeks prior to MRI examination; 3. Absence of contraindications to MRI.

Exclusion criteria

Exclusion criteria: 1. The lesion is too small to be observed in the MRI image; 2. The patient cannot tolerate the MRI examination; 3. The lesion has been confirmed by surgery or biopsy not to be transitional cell carcinoma of the bladder urinary tract.

Design outcomes

Primary

MeasureTime frame
Image Quality Scoring and Artifact Scoring.;Signal-to-Noise Ratio , Contrast-to-Noise Ratio;

Countries

China

Contacts

Public ContactGuo Lili

The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University

guolili163@163.com+86 136 5154 9848

Outcome results

None listed

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