Multi-parametric MRI in Patients of Bladder Cancer

NCT ID: NCT06362330

Last Updated: 2024-04-12

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

RECRUITING

Total Enrollment

1000 participants

Study Classification

OBSERVATIONAL

Study Start Date

2021-07-01

Study Completion Date

2024-06-30

Brief Summary

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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

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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

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Muscle-invasive Bladder Cancer Artificial Intelligence

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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muscle-invasive bladder cancer

The postoperative pathology was muscle-invasive bladder cancer

magnetic resonance imaging

Intervention Type OTHER

Patients of bladder cancer underwent multiparameter magnetic resonance imaging before surgery

non-muscle-invasive bladder cancer

The postoperative pathology was non-muscle-invasive bladder cancer

magnetic resonance imaging

Intervention Type OTHER

Patients of bladder cancer underwent multiparameter magnetic resonance imaging before surgery

Interventions

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magnetic resonance imaging

Patients of bladder cancer underwent multiparameter magnetic resonance imaging before surgery

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Urothelial carcinoma of the bladder confirmed by final histopathology ②Received a standard contrast-enhanced 3.0T mpMRI before surgery ③All tumors within patients included were resected and received pathologic examination separately

Exclusion Criteria

①Absence of surgical interventions

②With inadequate image quality or with inadequate pathology for analysis
Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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The First Affiliated Hospital with Nanjing Medical University

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Locations

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Yu-Dong Zhang

Nanjing, , China

Site Status RECRUITING

Countries

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China

Facility Contacts

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Yu-Dong Zhang, MD;PHD

Role: primary

15805151704

Other Identifiers

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2022-SR-471

Identifier Type: -

Identifier Source: org_study_id

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