This study develops and evaluates an artificial intelligence based tool to predict responsiveness to therapy in patients with intermediate and high-risk NMIBC.
Study sponsor and potential other locations can be found on ClinicalTrials.gov for NCT05825950.
Locations matching your search criteria
United States
Texas
Dallas
UT Southwestern/Simmons Cancer Center-DallasStatus: Active
Contact: Solomon Lukasz Woldu
Phone: 214-648-0389
San Antonio
University of Texas Health Science Center at San AntonioStatus: Active
Contact: Robert Scott Svatek
Phone: 210-567-5643
PRIMARY OBJECTIVE:
I. To develop and validate an AI-based histologic analysis tool in the identification of intermediate-risk and high-risk non-muscle invasive bladder cancer patients who have a high risk of BCG unresponsiveness through analysis of digitized whole slide images of transurethral resection of bladder tumor (TURBT) histologic specimens.
OUTLINE: This is an observational study.
Patients have tissue samples from their standard of care (SOC) TURBT procedure collected and analyzed using the AI-based histologic analysis tool software and have their medical records reviewed on study.
Trial PhaseNo phase specified
Trial Typediagnostic
Lead OrganizationUT Southwestern/Simmons Cancer Center-Dallas
Principal InvestigatorSolomon Lukasz Woldu