NIH-funded research R01 grant

Real-time AI-assisted ultrasound guides for targeted prostate biopsies

Official title: Real-time prostate cancer detection on B-mode conventional and micro-ultrasound for targeting clinically significant cancer during ultrasound-only biopsies

Funded at Stanford University · NIH-11450325 · Data updated 2026-11-12

A new AI-powered tool uses conventional and micro-ultrasound to help clinicians target suspicious prostate areas during ultrasound-only biopsies, aiming to improve cancer detection for men who need biopsy.

More Prostate Cancer research and trials

Quick facts

Grant typeR01 grant
Study typeNIH-funded research
Funding institutionStanford University
NIH-funded
Lab location1 site (Stanford, United States)
Project startJuly 1, 2026
Project endJune 30, 2031
Funding year2026
Award (this year)$660,346
NIH project number1R01CA308887-01A1
Project IDNIH-11450325 on NIH RePORTER

Who could benefit from this research

Could help

Men undergoing prostate biopsy who are evaluated with ultrasound guidance and may benefit from improved lesion targeting.

Less likely to help

Patients whose cancer is not ultrasound-detectable or who are not candidates for biopsy may not benefit.

What this research studies

This project develops an AI-augmented method (ProCUS) that analyzes real-time ultrasound images from multiple vendors to identify cancerous lesions during biopsy. It uses Brightness-mode ultrasound data from over 5,000 exams and links findings to biopsy and whole-mount pathology to ensure accuracy across different machines. By making ultrasound-guided targeting more precise, the approach could reduce missed cancers when MRI targeting is unavailable or too costly. The study includes a diverse dataset and plans to integrate smoothly into current clinical workflows.

Why it matters

Potential benefit: If successful, patients could receive more accurate biopsies with fewer missed cancers and faster diagnosis, especially where MRI-targeted techniques aren’t feasible.

How similar studies have gone: Prior work suggests ultrasound can detect cancer and improve targeting, with ongoing development of AI-guided approaches; this study extends that work to multi-vendor ultrasound data.

Where this research is happening

  • Stanford University
    Stanford, United States
    Active

Researchers

  • Principal investigator: Rusu, Mirabela — Stanford University
  • Study coordinator: Rusu, Mirabela

Related research

Other NIH-funded projects on the same topics.

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page.
Last reviewed 2026-11-14 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.