Generation of Synthetic [18F]FDG PET From Early-Phase Amyloid PET in Alzheimer's Disease
Official Summary
This study aims to test a new artificial intelligence (AI) method to create brain scan images without needing an extra scan. Currently, patients with memory problems often undergo two types of PET scans (Amyloid PET and FDG PET) to assess Alzheimer's disease. This study will use existing scan data from patients who already had both scans as part of their routine care. The AI model will try to generate the FDG PET image using only the Amyloid PET scan and an MRI. If successful, this method could reduce radiation exposure, costs, and time for future patients by eliminating the need for a separate FDG injection and scan. No new scans, injections, or procedures will be performed for this study. All data will be fully anonymized (personal information removed) before analysis. The study involves approximately 35 adult patients (age 50+) whose data were collected between January 2025 and December 2025 at IRCCS Ospedale San Raffaele in Milan, Italy.
Study Design
- Study Type: OBSERVATIONAL
- Enrollment: 35 participants
Primary Outcomes
- Quantitative Accuracy of Synthetic FDG PET Images (SUVR Correlation and MAE) (Retrospective analysis of imaging data acquired between January 1, 2025 and December 31, 2025)
Secondary Outcomes
- Regional SUVR Bias Between Synthetic and Native FDG Across Machine Types (Retrospective analysis of imaging data acquired between January 1, 2025 and December 31, 2025)
Trial Locations
- IRCCS Ospedale San Raffaele, Milan, Lombardy, Italy
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AI-generated analysis for educational purposes only. This is not medical advice. Discuss clinical trial participation with your doctor. Data sourced from ClinicalTrials.gov.