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Open Access 01-12-2024 | Alzheimer's Disease | Original research

Non-invasive quantification of ¹⁸F-florbetaben with total-body EXPLORER PET

Authors: Emily Nicole Holy, Elizabeth Li, Anjan Bhattarai, Evan Fletcher, Evelyn R. Alfaro, Danielle J. Harvey, Benjamin A. Spencer, Simon R. Cherry, Charles S. DeCarli, Audrey P. Fan

Published in: EJNMMI Research | Issue 1/2024

Abstract

Background

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 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 (V_T, V_s) in key brain regions with early amyloid accumulation. Non-displaceable binding potential (\( {BP}_{ND})\) was also calculated from the multi-reference tissue model (MRTM).

Results

Amyloid-positive (AD) patients showed the highest V_T and V_S in anterior cingulate, posterior cingulate, and precuneus, consistent with \( {BP}_{ND}\) analysis. \( {BP}_{ND} \)and V_T from kinetic models were correlated (r² = 0.46, P < 2\( {e}^{-16})\) with a stronger positive correlation observed in amyloid-positive participants, indicating reliable model fits with the IDIFs. V_T from 2TCM was highly correlated (\( {r}^{2}\)= 0.65, P < 2\( {e}^{-16}\)) with Logan graphical V_T 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 \( {BP}_{ND} \)in amyloid-positive and amyloid-negative older individuals.

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Title: Non-invasive quantification of 18F-florbetaben with total-body EXPLORER PET
Authors: Emily Nicole Holy
Elizabeth Li
Anjan Bhattarai
Evan Fletcher
Evelyn R. Alfaro
Danielle J. Harvey
Benjamin A. Spencer
Simon R. Cherry
Charles S. DeCarli
Audrey P. Fan
Publication date: 01-12-2024
Publisher: Springer Berlin Heidelberg
Keywords: Alzheimer's Disease
Alzheimer's Disease
Published in: EJNMMI Research / Issue 1/2024
Electronic ISSN: 2191-219X
DOI: https://doi.org/10.1186/s13550-024-01104-7

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Springer Medicine

Non-invasive quantification of ¹⁸F-florbetaben with total-body EXPLORER PET

Abstract

Background

Methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusion

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