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Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET.
Holy, Emily N; Li, Elizabeth; Bhattarai, Anjan; Fletcher, Evan; Alfaro, Evelyn R; Harvey, Danielle J; Spencer, Benjamin A; Cherry, Simon R; DeCarli, Charles S; Fan, Audrey P.
Affiliation
  • Holy EN; Department of Neurology, University of California (UC) Davis Health.
  • Li E; Department of Biomedical Engineering, UC Davis.
  • Bhattarai A; Department of Biomedical Engineering, UC Davis.
  • Fletcher E; Department of Neurology, University of California (UC) Davis Health.
  • Alfaro ER; Department of Biomedical Engineering, UC Davis.
  • Harvey DJ; Department of Neurology, University of California (UC) Davis Health.
  • Spencer BA; Department of Neurology, University of California (UC) Davis Health.
  • Cherry SR; Department of Public Health Sciences, UC Davis Health.
  • DeCarli CS; Department of Biomedical Engineering, UC Davis.
  • Fan AP; Department of Radiology, UC Davis Health.
Res Sq ; 2023 Dec 27.
Article in En | MEDLINE | ID: mdl-38234716
ABSTRACT

Purpose:

Kinetic modeling of 18F-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 dynamic 18F-florbetaben PET in aorta IDIFs and the brain in an elderly cohort.

Methods:

18F-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 seconds after injection. Dynamic time-activity curves (TACs) for 110 minutes 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 (BPND) 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 BPND analysis. BPND and VT from kinetic models were correlated (r2 = 0.46, P<2e-16) with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. VT from 2TCM was highly correlated (r2 = 0.65, P< 2e-16) with Logan graphical VT estimation.

Conclusion:

Non-invasive quantification of amyloid binding from total-body 18F-florbetaben PET data is feasible using aorta IDIFs with high agreement between kinetic distribution volume parameters compared to BPND in amyloid-positive and negative older individuals.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Res Sq Year: 2023 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Guideline Language: En Journal: Res Sq Year: 2023 Document type: Article