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Deep Learning on Amyloid Positons Emission Tomography
RECRUITINGSponsored by Central Hospital, Nancy, France
Actively Recruiting
SponsorCentral Hospital, Nancy, France
Started2026-05-06
Est. completion2026-11-20
Eligibility
Age18 Years – 99 Years
View on ClinicalTrials.gov →
NCT07309107
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.
Eligibility
Age: 18 Years – 99 Years
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.
Conditions2
Alzheimer DiseaseAlzheimer's Disease
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Actively Recruiting
SponsorCentral Hospital, Nancy, France
Started2026-05-06
Est. completion2026-11-20
Eligibility
Age18 Years – 99 Years
View on ClinicalTrials.gov →
NCT07309107