NCT06462924

Feasibility of Gadolinium Contrast Reduced Brain MRI: the Potential of Deep Learning

• Status: Withdrawn
• Phase: Phase 1
• Study type: Interventional
• Enrollment: 0 (actual)
• Sponsor: DeepMeds · Industry
• Sex: All
• Age: 18 Years – 80 Years
• Healthy volunteers: Accepted

Summary

MRI scans were performed using 3 different 1.5T scanners with an eight-channel head coils. Following a 3D pre-contrast T1w scan, a low-dose contrast-enhanced 3D T1w scan was obtained using 20% (0.02 mmol/kg) of the standard dosage of gadoterate meglumine. The subjects were immediately administered the remaining 80% (0.08 mmol/kg) of the contrast agent to reach the standard dose of 0.1 mmol/kg, which served as a training ground truth for further quantitative assessment. All three acquisitions were performed during a single imaging session, with no additional gadolinium dose administered above the standard protocol.

Conditions

• Artificial Intelligence
• Deep Learning

Interventions

Type	Name	Description
DEVICE	DeepGad	Using the pre-contrast and low-dose Contrast-Enhanced Magnetic Resonance (CE-MRI) images as input and the true full-dose CE-MRI images as the ground truth. the Cycle GAN deep network (DeepGad), was trained to reconstruct the full-dose CE-MRI images from low-dose CE-MRI images.

Timeline

• Start date: 2024-08-30
• Primary completion: 2024-09-01
• Completion: 2024-09-15
• First posted: 2024-06-17
• Last updated: 2025-02-05