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Dual-assessment of functional and pathological changes in Alzheimer`s disease using single (11)C-PIB PET

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Authors
Kim, S. J.; Kim, Y. K.; Lee, J. S.; Yoon, E. J.; Lee, D. S.; Kim, S. E.
Issue Date
2009-10
Publisher
NATURE PUBLISHING GROUP
Citation
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM; Vol.29 ; S357-S358
Abstract
Objectives: In most studies, the association between
functional (regional cerebral glucose metabolism)
and pathological information (brain amyloid plaque load) have been separately investigated using two
different traceres, 11C-PIB and 18F-FDG PET in
assessment of of Alzheimers disease (AD). In this study, we investigated the possibility of functional R1
map (relative flow delivery, K1 region of interest/K1
reference region) from PIB PET as alternative functional
map in stead of FDG PET.
Methods: Thirty eight subjects (8 AD and 12 MCI
patients, 18 normal volunteers) underwent dynamic
11C-PIB PET scans with 90 mins scan duration and
18F-FDG scans with 30 mins after injection. Parametric
images of R1 for 11C-PIB PET were generated
using multilinear reference tissue models (MRTM2).1
To compare the brain regions with perfusion and
metabolic abnormalities on 11C-PIB and FDG PET
quantitatively, R1 map and FDG images underwent ztransformation
with respect to each normal average
and SD. The association of the number of abnormal
voxels and mean z-value between R1 map obtained
from PIB PET and glucose metabolism obtained from
FDG PET was evaluated in the entire brain excluding
cerebellum.
Results: Z-values of each group were well reflected
the severity of AD. At a z threshold of 2.97 for both
R1 PIB and FDG, the number of abnormal voxels
across the entire brain showed a correlation, and the
mean z-values of abnormal voxels between them
were highly correlated (r = 0.86, P < 0.0001).
Conclusions: The relative perfusion obtained from
PIB PET was well correlated with those of metabolic
abnormality in the entire brain. This study may
suggest that a single PIB PET study with R1 map
could provide the sufficient information in the
distribution of pathologic and metabolic abnormalities
in disease progression.
ISSN
0271-678X
Language
English
URI
https://hdl.handle.net/10371/78281
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College of Medicine/School of Medicine (의과대학/대학원)Nuclear Medicine (핵의학전공)Journal Papers (저널논문_핵의학전공)
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