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Deep Learning on Amyloid Positons Emission Tomography
Deep Learning on Amyloid Positons Emission Tomography

NCT07309107

RecruitingN/A

Sponsor: Central Hospital, Nancy, France

Conditions: Alzheimer Disease

Countries: France

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 overview

Sex: ALL

Age: 18 Years to 99 Years

Study type: OBSERVATIONAL

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.
Locations (3)
  • Vandœuvre-lès-Nancy, France
  • Vandœuvre-lès-Nancy, France
  • Vandœuvre-lès-Nancy, France