1. Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET.
- Author
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Holy, Emily Nicole, Li, Elizabeth, Bhattarai, Anjan, Fletcher, Evan, Alfaro, Evelyn R., Harvey, Danielle J., Spencer, Benjamin A., Cherry, Simon R., DeCarli, Charles S., and Fan, Audrey P.
- Subjects
THORACIC aorta ,MILD cognitive impairment ,ALZHEIMER'S disease ,POSITRON emission tomography ,OLDER people - Abstract
Background: Kinetic modeling of
18 F-florbetaben provides important quantification of brain amyloid deposition in research and clinical settings but its use is limited by the requirement of arterial blood data for quantitative PET. The total-body EXPLORER PET scanner supports the dynamic acquisition of a full human body simultaneously and permits noninvasive image-derived input functions (IDIFs) as an alternative to arterial blood sampling. This study quantified brain amyloid burden with kinetic modeling, leveraging dynamic18 F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort. Methods:18 F-florbetaben dynamic PET imaging was performed on the EXPLORER system with tracer injection (300 MBq) in 3 individuals with Alzheimer's disease (AD), 3 with mild cognitive impairment, and 9 healthy controls. Image-derived input functions were extracted from the descending aorta with manual regions of interest based on the first 30 s after injection. Dynamic time-activity curves (TACs) for 110 min were fitted to the two-tissue compartment model (2TCM) using population-based metabolite corrected IDIFs to calculate total and specific distribution volumes (VT , Vs ) in key brain regions with early amyloid accumulation. Non-displaceable binding potential ( was also calculated from the multi-reference tissue model (MRTM). Results: Amyloid-positive (AD) patients showed the highest VT and VS in anterior cingulate, posterior cingulate, and precuneus, consistent with analysis. and VT from kinetic models were correlated (r² = 0.46, P < 2 with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated ( = 0.65, P < 2 ) with Logan graphical VT estimation. Conclusion: Non-invasive quantification of amyloid binding from total-body18 F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to in amyloid-positive and amyloid-negative older individuals. [ABSTRACT FROM AUTHOR]- Published
- 2024
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