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
1 other identifier
observational
1,000
1 country
1
Brief 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).
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Jul 2021
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
July 1, 2021
CompletedFirst Submitted
Initial submission to the registry
April 6, 2024
CompletedFirst Posted
Study publicly available on registry
April 12, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
May 30, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
June 30, 2024
CompletedApril 12, 2024
April 1, 2024
2.9 years
April 6, 2024
April 10, 2024
Conditions
Outcome Measures
Primary Outcomes (2)
Muscle-invasive bladder cancer
The artificial intelligence diagnosis results, based on preoperative MRI, indicated muscle-invasive bladder cancer. Subsequently, this preoperative diagnosis was compared with the postoperative pathological diagnosis to evaluate the diagnostic performance of the artificial intelligence.
one month
Non-muscle-invasive bladder cancer
The artificial intelligence diagnosis results, based on preoperative MRI, indicated non-muscle-invasive bladder cancer. Subsequently, this preoperative diagnosis was compared with the postoperative pathological diagnosis to evaluate the diagnostic performance of the artificial intelligence.
one month
Study Arms (2)
muscle-invasive bladder cancer
The postoperative pathology was muscle-invasive bladder cancer
non-muscle-invasive bladder cancer
The postoperative pathology was non-muscle-invasive bladder cancer
Interventions
Patients of bladder cancer underwent multiparameter magnetic resonance imaging before surgery
Eligibility Criteria
Preoperative multi-parameter magnetic resonance imaging is essential to ascertain whether patients with bladder cancer exhibit muscular invasion, facilitating the selection of appropriate treatment options.
You may qualify if:
- 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
You may not qualify if:
- ①Absence of surgical interventions
- ②With inadequate image quality or with inadequate pathology for analysis
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Yu-Dong Zhang
Nanjing, 210029, China
MeSH Terms
Interventions
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- OTHER
- Time Perspective
- RETROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
April 6, 2024
First Posted
April 12, 2024
Study Start
July 1, 2021
Primary Completion
May 30, 2024
Study Completion
June 30, 2024
Last Updated
April 12, 2024
Record last verified: 2024-04