Deep learning noise reduction for amyloid PET imaging in Alzheimer’s patients

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

What this trial studies

This observational study looks at how a deep learning–based noise reduction algorithm affects visual interpretation and Centiloid measurements when simulating reduced injected doses of 18F-flutemetamol. The goal is to determine whether image quality and quantitative results remain reliable with less data. Data will come from patients referred for an amyloid PET scan at CHRU Nancy between 2023 and 2025. No interventions are being tested beyond the imaging processing method, and participation is limited to use of patients’ data with consent.

Why it matters

Who can join: the full rules

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.

Where it's running

• CHRU NANCY Brabois, nuclear medicine department
  Vandœuvre-lès-Nancy, France Recruiting
• Nancy's hospital
  Vandœuvre-lès-Nancy, France Recruiting
• Nuclear medicine department CHRU de NANCY Brabois
  Vandœuvre-lès-Nancy, France Recruiting

Study contacts

• Principal investigator: Principal Investigator — CHRU of NANCY
• Study coordinator: Antoine VERGER, MD,PhD
• Email: a.verger@chru-nancy.fr
• Phone: 0383155567

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.