AI Tool for Non-muscle Invasive Bladder Cancer
This study is developing an Artificial Intelligence (AI) tool to help predict how well people with non-muscle invasive bladder cancer (NMIBC) will respond to treatments like Bacillus Calmette-Guérin (BCG) and chemotherapy. The goal is to identify which patients are most likely to benefit from these treatments, or if other options like clinical trials or surgery might be better. Researchers will analyze tissue samples from your bladder tumor to create and test this AI tool. The study is looking for 600 participants between 18 and 99 years old who have intermediate or high-risk NMIBC. Success will be measured by how long patients remain free from cancer recurrence at 3, 6, and 12 months after their initial surgery (TURBT). The current recruitment status is unclear.
- Study design
- This is an observational study involving 600 participants. It aims to develop and validate an AI-based tool.
- What's involved
- Analysis will be performed on your most recent tumor tissue sample from a Transurethral resection of bladder tumor (TURBT) before BCG treatment, and on samples if the cancer returns after BCG.
- Compensation
- Not stated in the trial record.
- Follow-up
- Participants will be followed to measure recurrence-free survival at 3, 6, and 12 months after TURBT.
AI-generated from the public study record. Only the study team can confirm whether you're eligible — confirm details with them before making decisions.
Artificial Intelligence Prediction Tool in Non-muscle Invasive Bladder Cancer (NMIBC)
At a glance
Conditions
NCT05825950
Where you'd take part
This study runs at 2 sites. They're the same protocol — you choose where, and that choice sets who your contact draft is addressed to.
University of Texas Health Science Center at San Antonio
San Antonio, Texasstudy coordinator listed
Recruiting
University of Texas Southwestern Medical Center
Dallas, Texasstudy coordinator listed
Recruiting
Sites open and close at different times, so the status above is per site — it can differ from the study's overall status.
Study leadership
- Yair Lotan, MD · PRINCIPAL_INVESTIGATOR · University of Texas Southwestern Medical Center
Who to contact
Opens a ready-to-send draft in your own email app — review before sending.
Want this trial checked against your situation?
Add a private profile and we'll compare every criterion below against your situation — and tell you which ones are met, uncertain, or excluding.
Inclusion
Exclusion
What this trial measures
- Recurrence free survival (RFS) at 3 months after TURBT in participants with HR NMIBC3 months
Recurrence free survival (RFS) is measured as the time from start of clinical treatment / study enrollment to the date of first procedure confirming histopathological recurrence, disease progression or death as a first event from any cause during surveillance cystoscopy at 3 months.
- Recurrence free survival (RFS) at 6 months after TURBT in patients with HR NMIBC6 months
Recurrence free survival (RFS) is measured as the time from start of clinical treatment / study enrollment to the date of first procedure confirming histopathological recurrence, disease progression or death as a first event from any cause during surveillance cystoscopy at 6 months.
- Recurrence free survival (RFS) at 12 months after TURBT in patients with HR NMIBC12 months
Recurrence free survival (RFS) is measured as the time from start of clinical treatment / study enrollment to the date of first procedure confirming histopathological recurrence, disease progression or death as a first event from any cause during surveillance cystoscopy at 12 months.
- Recurrence free survival (RFS) at 24 months after TURBT in patients with HR NMIBC24 months
Recurrence free survival (RFS) is measured as the time from start of clinical treatment / study enrollment to the date of first procedure confirming histopathological recurrence, disease progression or death as a first event from any cause during surveillance cystoscopy at 24 months.