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

NCT ID: NCT05825950

Condition: Non-muscle-invasive Bladder Cancer

Conditions: Official terms:
Urinary Bladder Neoplasms
Non-Muscle Invasive Bladder Neoplasms

Conditions: Keywords:
NMIBC
Bladder cancer

Study type: Observational

Overall status: Recruiting

Study design:

Time perspective: Other

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.

Detailed description: Analysis will be performed on the most recent Transurethral resection of bladder tumor (TURBT) histologic specimen obtained prior to BCG induction and on histologic specimens at time of recurrence after BCG induction. This stratification is of potential utility to clinicians for patient counseling purposes, for the identification of patients likely to benefit from induction or re-induction with BCG, and for consideration of alternative treatment strategies including clinical trials, chemotherapy, or cystectomy. Additionally, there is currently no reliable tool for identifying which NMIBC patients are most likely to benefit from adjuvant BCG versus intravesical chemotherapy. This is of current relevance in the management of Intermediate-risk (IR) NMIBC since both BCG and chemotherapy are first-line treatment options and will likely become of increasing relevance in High-risk (HR) NMIBC as efficacious first-line alternatives to intravesical BCG are introduced into clinical practice. In the proposed prospective study, the study team also aims to develop and then validate an AI-based histologic analysis tool for clinicians that is intended to predict recurrence following intravesical chemotherapy in IR and HR NMIBC patients.

Criteria for eligibility:

Study pop:
Subjects identified in urology clinics after a diagnosis of non-muscle invasive bladder cancer undergoing intravesical BCG therapy or chemotherapy

Sampling method: Non-Probability Sample
Criteria:
Inclusion Criteria: - Diagnosis of intermediate or high-risk non-muscle invasive bladder cancer as defined by AUA/SUO criteria (Intermediate-risk: recurrence within 1 year low grade Ta, solitary low grade Ta >3 cm, multifocal low grade Ta, high grade Ta ≤3 cm, low grade T1; High risk: high grade T1, recurrent high grade Ta, high grade Ta >3 cm, multifocal high grade Ta, any CIS, any BCG failure in high grade disease, any variant histology, any lymphovascular invasion) following pathologic evaluation of tissue specimens from TURBT. - Intravesical therapy within 6 months from enrollment including patients treated with BCG, mitomycin C, or Gemcitabine/Docetaxel. - English or Spanish speakers - ≥ 18 years of age - Ability to understand and the willingness to provide an informed consent Exclusion Criteria: - Inadequate tissue from TURBT - > T2 bladder cancer - Systemic therapy - Inability to read or write English or Spanish - Unwilling to sign written informed consent

Gender: All

Minimum age: 18 Years

Maximum age: 99 Years

Locations:

Facility:
Name: University of Texas Southwestern Medical Center

Address:
City: Dallas
Zip: 75390-9164
Country: United States

Status: Recruiting

Contact:
Last name: Sonobia Garrett

Phone: 214-645-8482
Email: Sonobia.Garrett@UTSouthwestern.edu

Contact backup:
Last name: Holly L Ford

Phone: 2146458790
Email: holly.ford@utsouthwestern.edu

Start date: January 25, 2024

Completion date: June 2025

Lead sponsor:
Agency: University of Texas Southwestern Medical Center
Agency class: Other

Source: University of Texas Southwestern Medical Center

Record processing date: ClinicalTrials.gov processed this data on November 12, 2024

Source: ClinicalTrials.gov page: https://clinicaltrials.gov/ct2/show/NCT05825950

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