RecruitingNCT05825950

Artificial Intelligence Prediction Tool in Non-muscle Invasive Bladder Cancer (NMIBC)

Predicting Outcomes in Intermediate and High-risk Non-muscle Invasive Bladder Cancer Using Automated Analysis of Digital Pathology Data


Sponsor

University of Texas Southwestern Medical Center

Enrollment

600 participants

Start Date

Jan 25, 2024

Study Type

OBSERVATIONAL

Conditions

Summary

This is a multi-center study and the aim is to develop and validate an Artificial Intelligence (AI) -based histologic analysis tool to predict responsiveness to intravesical Bacillus Calmette-Guérin (BCG) and intravesical chemotherapy in intermediate and high-risk non-muscle invasive bladder cancer patients.


Eligibility

Min Age: 18 YearsMax Age: 99 Years

Plain Language Summary

Simplified for easier understanding

This study is testing whether an artificial intelligence (AI) tool can better predict which bladder cancer patients are most at risk of their cancer returning or getting worse, helping doctors make more personalised treatment decisions. **You may be eligible if...** - You are 18 years or older - You have been diagnosed with intermediate- or high-risk non-muscle invasive bladder cancer (cancer that has not grown into the deep muscle of the bladder wall) - You have received treatment directly into the bladder (BCG, mitomycin C, or gemcitabine/docetaxel) within the past 6 months - You speak English or Spanish - You are willing to provide informed consent **You may NOT be eligible if...** - Your cancer has invaded the muscle wall of the bladder (stage T2 or higher) - There was not enough tissue available from your bladder surgery for testing - You are receiving systemic (whole-body) chemotherapy - You are unable to read or write in English or Spanish Talk to your doctor to see if this trial is right for you.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Locations(2)

University of Texas Southwestern Medical Center

Dallas, Texas, United States

University of Texas Health Science Center at San Antonio

San Antonio, Texas, United States

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NCT05825950


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