University of Arkansas for Medical Sciences
Little Rock, Arkansas, 72205, United States
Location status: Recruiting
NCT Number: NCT07231627
Use of AI algorithm for PCa detection is feasible, and AI-informed biopsies (AI-targeted and perilesional biopsy) improves csPCa detection in patients with indeterminate MRI lesions and in patients with low-risk MRI lesions and high-risk clinical features.
Interested in participating?
Request Info40 year and older
Male
Interventional
Not applicable
Little Rock, Arkansas, 72205, United States
Location status: Recruiting
Primary Feasibility Objective:
Primary Efficacy Objective:
Secondary Objectives (These objectives will be satisfied using endpoint data from all 50 subjects (25/arm) enrolled):
Exploratory Objective:
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
a. (Patients who never scanned with pMRI before, had GS 6 (3+3) PCa only per systematic biopsy, and currently need confirmatory prostate biopsy will be allowed to enroll in the trial).
Inclusion of Women and Minorities: All participants will be men without previous diagnosis for PCa. Men of all ethnic groups and races are eligible for the study. Thus, women will not be included in this study.
Artificial intelligence system used in medical imaging, primarily for the automated detection and classification of lesions (such as prostate cancer) using only specific types of magnetic resonance imaging (MRI) data.
Time frame: 4 months
Number and percent of the first 10 enrolled and randomized subjects who agree to undergo the prostate biopsy procedure to which they were randomized and accept the biopsy recommendations based on study protocol and AI algorithm results.
Time frame: 4 months
The percent of csPCa detected per-patient and per-lesion in the biopsy cores obtained from each study arm. We expect at least 42% for the csPCa detection rate on the AI algorithm-informed-biopsy arm, which would be a 27% increase relative to the current csPCa detection rate (15%) expected on the contemporary prostate-biopsy arm.
Time frame: 4 months
Time frame: 4 months
Time frame: 4 months
Time frame: 4 months
Time frame: 4 months
Time frame: 4 months
Time frame: 4 months
Time frame: 4 months
Contact information is provided by the study sponsor or research team.
University of Arkansas
Other
A Prospective Randomized Phase I/II Study of Artificial Intelligence Algorithm-Informed Biopsy for Detection of Prostate Cancer in Patients With Indeterminate and Low-risk Prostate MRI Lesions
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT05751434
Genital Diseases, Genital Diseases, Male
Los Angeles, California, United States
View Trial DetailsNCT07028853
Cancer of the Prostate, Genital Diseases
Huntsville, Alabama, United States
View Trial DetailsNCT05765500
Genital Diseases, Genital Diseases, Male
Boston, Massachusetts, United States
View Trial DetailsNCT07203482
Genital Diseases, Genital Diseases, Male
Brooklyn, New York, United States
View Trial Details