Trials / Recruiting
RecruitingNCT06362330
Multi-parametric MRI in Patients of Bladder Cancer
Knowledge-guided Causal Diagnostic Network for the Detection of Muscle-invasive Bladder Cancer With Single T2-weighted Imaging
- Status
- Recruiting
- Phase
- —
- Study type
- Observational
- Enrollment
- 1,000 (estimated)
- Sponsor
- The First Affiliated Hospital with Nanjing Medical University · Academic / Other
- Sex
- All
- Age
- —
- Healthy volunteers
- Not accepted
Summary
Accurate preoperative detection of muscle-invasive bladder cancer remains a clinical challenge. The investigators aimed to develop and validate a knowledge-guided causal diagnostic network for the detection of muscle-invasive bladder cancer with multiparametric magnetic resonance imaging(MRI).
Detailed description
Patients who underwent bladder MRI were retrospectively collected at three centers between January 2013 and September 2023. The investigators first constructed a nnUNet to segment causal region where muscle-invasive bladder cancer may occur. Subsequently, the investigators explored a causal network based on a modified ResNet3d-18 by striking a fine balance between nnUNet awareness and a self-supervised learning (SSL) model, which steered model to emulate diagnostic acumen of expert in staging muscle-invasive bladder cancer at MRI. Model was trained in center 1, and independently tested in center 1, center 2 and center 3. Ablation test was performed among all 13 Ablation-Test models using either single or multi-parametric MRI. Benefit was tested in six radiologists using vesical imaging-reporting and data system (VI-RADS) versus network-adjusted VI-RADS.
Conditions
Interventions
| Type | Name | Description |
|---|---|---|
| OTHER | magnetic resonance imaging | Patients of bladder cancer underwent multiparameter magnetic resonance imaging before surgery |
Timeline
- Start date
- 2021-07-01
- Primary completion
- 2024-05-30
- Completion
- 2024-06-30
- First posted
- 2024-04-12
- Last updated
- 2024-04-12
Locations
1 site across 1 country: China
Source: ClinicalTrials.gov record NCT06362330. Inclusion in this directory is not an endorsement.