Deep Learning on Amyloid Positons Emission Tomography

Recruiting Observational Study
Alzheimer Disease
No Study Drug Researchers observe your health over time — no experimental treatment is given.
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At a Glance
Age
18 – 99
Sex
Any
Study type
Observational
Participants needed
40 (estimated)
Sponsor
Central Hospital, Nancy, France · Other
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About This Trial

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.

Trial Locations
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Eligibility Criteria
Inclusion Criteria: * 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, Exclusion Criteria: * Patient have objected to the use of their data.
Contacts

Antoine VERGER, MD,PhD

0383155567

a.verger@chru-nancy.fr

CONTACT

Veronique Roch, MSc

0383154276

v.roch@chru-nancy.fr

CONTACT