Skip to main content
OpenTrials
Recruiting

NCT Number: NCT07231627

AI Algorithm-Informed Biopsy for Prostate Cancer Detection With Indeterminate and Low-Risk Prostate MRI Lesions

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.

Recruiting

Interested in participating?

Request Info

Key information

Age range

40 year and older

Sex eligibility

Male

Study type

Interventional

Phase

Not applicable

Primary location

University of Arkansas for Medical Sciences

Little Rock, Arkansas, 72205, United States

Location status: Recruiting

Location contact

Ahmet Aydin, MD

CONTACT

501-686-8530

Ahmet M Aydin, MD

PRINCIPAL_INVESTIGATOR

About this study

Primary Feasibility Objective:

  • Assess the acceptance rate of randomization and biopsy recommendations based on study protocol and AI algorithm results by the patients. This will be assessed in the first 10 patients who enroll during the phase I feasibility segment.

Primary Efficacy Objective:

  • Evaluate the per-patient and per-lesion csPCa detection rates of AI algorithm-informed biopsy (the intervention arm) versus contemporary biopsy (the control arm) in patients randomly allocated 1:1 to each arm. This will be evaluated in all 25 patients per arm (50 patients).

Secondary Objectives (These objectives will be satisfied using endpoint data from all 50 subjects (25/arm) enrolled):

  • Evaluate benign and clinically non-significant PCa rates (GS <7) in patients who underwent AI-algorithm informed (the intervention arm) versus contemporary (the control arm) prostate biopsies.
  • Evaluate the specificity and sensitivity of AI algorithm-informed biopsy (AI-targeted and perilesional prostate biopsy) versus contemporary biopsy in detection of csPCa.
  • Obtain and evaluate adverse events (AEs), urinary function (IPSS), sexual function (IIEF) quality of life (QOL) [ SF-12 and TMI scores] and decision regret (DRS) measures on subjects that underwent contemporary biopsy versus AI Algorithm-informed biopsy.

Exploratory Objective:

  • Collect data via genomic and transcriptomic approaches (Whole exome sequencing + Targeted RNA sequencing OR single cell RNA sequencing) in patients whose standard contemporary biopsy, perilesional biopsy and AI-targeted biopsy revealed csPCa, and compare collected data on all endpoints for differences among perilesional biopsy, AI-targeted biopsy and contemporary standard biopsy.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 40 years of age or older.
  • A recent pMRI performed within last 12 weeks
  • Eastern Cooperative Oncology Group (ECOG) performance status 0 - 1.
  • Any patient with PIRADS 3 lesions per pMRI, AND elevated PSA ("=> 3.0 ng/ml" for patients between 40 and 75 years old, and "=> 4.0 ng/ml" for the patients older than 75 years).
  • Patients with PIRADS 1-2 lesions per pMRI, AND elevated PSA ("=> 3.0 ng/ml" for patients between 40 and 75 years old, and "=> 4.0 ng/ml" for the patients older than 75 years), AND at least one of the following:
  • High PSA density (0.15 ng/ml/g or higher),
  • suspicious DRE,
  • a positive/high-risk blood or urine biomarker test,
  • high-risk ancestry (Black/African American),
  • those with germline mutations that increase the risk for prostate cancer,
  • significant personal medical history,
  • significant family history,
  • persistent and significant increase in PSA levels (persistently elevated PSA for at least 12 months with an increase of at least 100% or more within 24 months, last level confirmed twice).

Exclusion criteria

  • Patients younger than 18 years old.
  • Any patient with PIRADS 4-5 lesion per pMRI.
  • Any patient with known csPCa (GS ≥7 (3+4)) per biopsy.
  • Any patient with PCa and managed with active surveillance, surgery or radiation.

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).

  • Medically unfit for anesthesia.
  • Any history of allergic reactions attributed to contrast agents, or other compounds of similar chemical compositions.
  • Any medical history preventing pMRI or prostate biopsy.
  • Any medical condition distorting quality of pMRI such as artificial hip prosthesis, and excessive rectal gas.
  • Any other condition that, in the opinion of the investigator, might interfere with the safe conduct of the study.

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.

Treatment and study plan

Bi-parametric MRI-based cascaded deep-learning AI algorithm

Device

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.

Primary outcomes

  1. Acceptance rate of randomization and biopsy recommendations based on study protocol and AI algorithm results by the patients

    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.

  2. Per-patient and per-lesion csPCa detection rates of AI algorithm-informed biopsy (the intervention arm) versus contemporary biopsy (the control arm) in patients randomly allocated 1:1 to each arm

    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.

Secondary outcomes

  1. Percentage of benign and clinically non-significant PCa detected in patients who underwent AI Algorithm-informed or contemporary prostate biopsies.

    Time frame: 4 months

  2. Percentage of true positive, false positive, true negative and false negative findings for csPCa in all patients who enrolled in both study arms.versus contemporary biopsy in detection of csPCa

    Time frame: 4 months

  3. Evaluation of adverse events on subjects that underwent contemporary biopsy versus AI Algorithm-informed biopsy graded by CTCAE v5.0

    Time frame: 4 months

  4. Evaluation of urinary function (IPSS) on subjects that underwent contemporary biopsy versus AI Algorithm-informed biopsy

    Time frame: 4 months

  5. Evaluation of sexual function (Form IIEF) on subjects that underwent contemporary biopsy versus AI Algorithm-informed biopsy

    Time frame: 4 months

  6. Evaluation of quality of life using Form TMI and Form SF12 scores on subjects that underwent contemporary biopsy versus AI Algorithm-informed biopsy

    Time frame: 4 months

  7. Evaluation of decision regret using the Decision Regret Scale (Form DRS) to measure on subjects that underwent contemporary biopsy versus AI Algorithm-informed biopsy

    Time frame: 4 months

Other outcomes

  1. Expression levels and/or expression profiles of genomic and transcriptomic signatures in csPCa diagnosed from perilesional biopsy, AI-targeted biopsy and contemporary standard biopsy

    Time frame: 4 months

Study contacts

Contact information is provided by the study sponsor or research team.

Aaron Holley

CONTACT

[email protected]

5016868274

Sponsors and collaborators

Lead sponsor

University of Arkansas

Other

Registry information

Official study title

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

Important dates

Study start
2026
Primary completion
2028
Study completion
2029
First posted
Nov 17, 2025
Registry last updated
Jun 25, 2026

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.