Clinical Trial

Deep Learning on Amyloid Positons Emission Tomography

Study acronym: DEEPAMY
Recruiting
View on ClinicalTrials.gov →
Summary
Reducing injected dose and/or acquisition time in amyloid PET imaging would improve comfort, radiation safety and cost-effectiveness in diagnosis and follow-up of patients. This study evaluates the impact of a deep learning-based noise reduction algorithm on visual analysis and Centiloid quantification when simulating reduced injected doses of \[18F\]flutemetamol.
Protocol Amendment History 4 changes
critical Recruitment opened 2026-06-26
notable Trial sites expanded: 0 -> 3 locations 2026-06-26
notable Primary completion pushed: 2026-01-20 -> 2026-11-20 2026-06-26
minor Completion pushed: 2026-01-30 -> 2027-01-30 2026-06-26
Trial Details
NCT Number NCT07309107
Lead Sponsor Central Hospital, Nancy, France
Conditions Alzheimer Disease
Enrollment 40 participants
Start Date 2026-05-06
Primary Completion 2026-11-20 (estimated)
Study Completion 2027-01-30 (estimated)
Updated on ClinicalTrials.gov 2026-06-25