AI could slash contrast dye needed for brain scans

NCT ID NCT06224543

First seen Jun 26, 2026 ยท Last updated Jun 26, 2026

Summary

This study tested whether artificial intelligence (AI) software called SubtleGAD can enhance brain MRI images taken with a low dose of gadobutrol contrast dye, making them as clear as images taken with the standard higher dose. Sixty adults with known or suspected brain lesions received either a low dose (10% or 25% of standard) or the standard dose of contrast. The AI software was then used to improve the low-dose images. The goal is to see if this approach can reduce the amount of contrast dye patients need, potentially lowering risks.

What this could mean

Our plain-language read of the trial. This is informational only โ€” not medical advice or a prediction.

Active substance
Gadobutrol (Gadavist) contrast agent
What this could lead to
If successful, this could allow patients to receive lower doses of contrast dye during brain MRIs, reducing potential risks while maintaining image quality.
What could go wrong
This is an early Phase 1 proof-of-concept study with only 60 participants. The AI-enhanced images may not match standard-dose quality in all cases, and results may not apply to all types of brain lesions.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for ENHANCING BRAIN LESIONS are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

Contacts and locations

Locations

  • Central Illinois Radiological Associates; OSF St. Francis Hospital Peoria

    Peoria, Illinois, 61637, United States

  • MD Anderson Cancer Center

    Houston, Texas, 77030, United States

  • Mayo Clinic

    Rochester, Minnesota, 55905, United States

  • The Pennsylvania State University

    State College, Pennsylvania, 16801, United States

  • UMass Chan Medical School

    Worcester, Massachusetts, 01655, United States