Plain-English translation of NCT06092450 on ClinicalTrials.gov โ ยท Source last updated ยท Translation generated ยท How we translate trials
Read our Bladder Cancer research guide โThis trial is testing a new artificial intelligence system that analyzes CT scan images taken before bladder cancer surgery. The AI looks for patterns in these images that might help doctors predict how well you'll recover after surgery and whether you'll need additional treatment. This kind of prediction could help you and your doctor make better decisions about your care plan.
Muscle-invasive bladder cancer is a serious form of cancer, and even after surgery to remove the bladder, some patients don't survive as long as doctors hope. This study exists to find a way to identify which patients are at higher risk after surgery so doctors can offer additional treatments earlier and improve survival rates.
You likely qualify ifโฆ
You likely don't qualify ifโฆ
As a participant, you would already be having a CT scan before your scheduled bladder removal surgery โ this study simply uses that existing scan and your medical records for analysis. Researchers will collect your CT images and clinical information, then use the AI model to analyze your images and track your health outcomes after surgery. You would not need to do anything extra beyond your routine care.
AI-generated summary from trial data ยท Jun 10, 2026 ยท Not medical advice
China
Sponsor
First Affiliated Hospital of Chongqing Medical University
Enrollment target
~500 participants
Started
August 2023
Primary completion
June 2025
This trial's estimated completion date has passed โ the record may not be fully up to date.
Last updated on clinicaltrials.gov in May 2025.
Reach out to the team running this trial. Response times vary โ some teams are faster than others.
Central contact
Zongjie Wei
First Affiliated Hospital of Chongqing Medical University
Tell us you're interested and we'll help connect you with the research team. We'll walk you through what to expect first โ no email needed to get started.