Deep Learning on Amyloid Positons Emission Tomography

Recruiting now

Conditions studied: Alzheimer Disease

In brief

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.

Key facts

Study ID

NCT07309107

Run by

Central Hospital, Nancy, France

People needed

40

Starts

2026-05-06

Expected to finish

2027-01-30

Last updated by the study team

2026-06-25

Who can join

Age: 18 and older, up to 99. Sex: any. Healthy volunteers: not accepted.

You may qualify if…

• Patients with objective cognitive impairment,
• Referred to our department for a cerebral [¹⁸F]flutemetamol positron emission tomography scan between January 1, 2023 and July 1, 2025,

You may not qualify if…

• Patient have objected to the use of their data.

Where it is running

• CHRU NANCY Brabois, nuclear medicine department — Vandœuvre-lès-Nancy, France (enrolling)
• Nancy's hospital — Vandœuvre-lès-Nancy, France (enrolling)
• Nuclear medicine department CHRU de NANCY Brabois — Vandœuvre-lès-Nancy, France (enrolling)

Full record on ClinicalTrials.gov

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