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Optimal timing of tau pathology imaging and automatic extraction of a reference region using dynamic [18F]THK5317 PET

Authors :
Jonasson, My
Wall, Anders
Chiotis, Konstantinos
Leuzy, Antoine
Eriksson, Jonas
Antoni, Gunnar
Nordberg, Agneta
Lubberink, Mark
Jonasson, My
Wall, Anders
Chiotis, Konstantinos
Leuzy, Antoine
Eriksson, Jonas
Antoni, Gunnar
Nordberg, Agneta
Lubberink, Mark
Publication Year :
2019

Abstract

[F-18]THK5317 is a PET tracer for in-vivo imaging of tau associated with Alzheimer's disease (AD). This work aimed to evaluate optimal timing for standardized uptake value ratio (SUVR) measures with [F-18]THK5317 and automated generation of SUVR-1 and relative cerebral blood flow (R-1) parametric images. Nine AD patients and nine controls underwent 90 min [F-18]THK5317 scans. SUVR-1 was calculated at transient equilibrium (TE) and for seven different 20 min intervals and compared with distribution volume ratio (DVR; reference Logan). Cerebellar grey matter (MRI) was used as reference region. A supervised cluster analysis (SVCA) method was implemented to automatically generate a reference region, directly from the dynamic PET volume without the need of a structural MRI scan, for computation of SUVR-1 and R-1 images for a scan duration matching the optimal timing. TE was reached first in putamen, frontal- and parietal cortex at 22 +/- 4 min for AD patients and in putamen at 20 +/- 0 min in controls. Over all regions and subjects, SUVR20-40-1 correlated best with DVR-1, R-2 = 0.97. High correlation was found between values generated using MRI- and SVCA-based reference (R-2 = 0.93 for SUVR20-40-1; R-2 = 0.94 for R-1). SUVR20-40 allows for accurate semi-quantitative assessment of tau pathology and SVCA may be used to obtain a reference region for calculation of both SUVR-1 and R-1 with 40 min scan duration.

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1234252980
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1016.j.nicl.2019.101681