Low-Dose Gadobutrol + AI for Brain Tumor Imaging
Trial Summary
What is the purpose of this trial?
Study 22403 is a Phase 1 / Proof of Concept exploratory investigation to assess the non-inferiority of low dose gadobutrol and SubtleGAD™, a software medical device using an Artificial Intelligence (AI) deep learning-based method to enhance the contrast signal from images acquired with low dose administration of gadobutrol (GAD) contrast. The primary objective is to demonstrate noninferiority of synthesized Central Nervous System (CNS) magnetic resonance (MR) images for 1 or 2 different gadobutrol-enhanced low-dose groups (0.01mmol/kg, and0.025 mmol/kg) compared to gadobutrol-enhanced CNS MR images at a standard dose of 0.1 mmol/kg. This investigation is a prospective, randomized, open label, multi-center study with blinded reads in participants with known or highly suspected CNS pathology. There will be at least 60 participants enrolled (30 per study arm). SubtleGAD will be used as a post-processing tool, prior to blinded read assessment of MR images acquired in either arm of the study.
Eligibility Criteria
This trial is for individuals with known or highly suspected brain tumors. Participants must be suitable for MRI scans and contrast agents. Specific eligibility criteria are not provided, but typically include age, health status, and tumor characteristics.Inclusion Criteria
Exclusion Criteria
Timeline
Screening
Participants are screened for eligibility to participate in the trial
Treatment Period 1
Participants receive a standard dose gadobutrol (0.1 mmol/kg) for contrast-enhanced MRI
Washout
A washout period of at least 72 hours but less than 15 days between treatment periods
Treatment Period 2
Participants receive a low dose gadobutrol (0.01 mmol/kg or 0.025 mmol/kg) for contrast-enhanced MRI
Follow-up
Participants are monitored for safety and effectiveness after treatment
Treatment Details
Interventions
- Gadobutrol
- SubtleGAD
Find a Clinic Near You
Who Is Running the Clinical Trial?
Subtle Medical
Lead Sponsor
Bayer
Industry Sponsor
Bill Anderson
Bayer
Chief Executive Officer since 2023
BSc in Chemical Engineering from the University of Texas, MSc in Chemical Engineering and Management from MIT
Michael Devoy
Bayer
Chief Medical Officer since 2014
MD, PhD