Hybrid PET/MRI enables high-spatial resolution, quantitative imaging of amyloid plaques in an Alzheimer’s disease mouse model Journal Article


Authors: Frost, G. R.; Longo, V.; Li, T.; Jonas, L. A.; Judenhofer, M.; Cherry, S.; Koutcher, J.; Lekaye, C.; Zanzonico, P.; Li, Y. M.
Article Title: Hybrid PET/MRI enables high-spatial resolution, quantitative imaging of amyloid plaques in an Alzheimer’s disease mouse model
Abstract: The emergence of PET probes for amyloid plaques and neurofibrillary tangles, hallmarks of Alzheimer disease (AD), enables monitoring of pathology in AD mouse models. However, small-animal PET imaging is limited by coarse spatial resolution. We have installed a custom-fabricated PET insert into our small-animal MRI instrument and used PET/MRI hybrid imaging to define regions of amyloid vulnerability in 5xFAD mice. We compared fluorine-18 [18F]-Florbetapir uptake in the 5xFAD brain by dedicated small-animal PET/MRI and PET/CT to validate the quantitative measurement of PET/MRI. Next, we used PET/MRI to define uptake in six brain regions. As expected, uptake was comparable to wild-type in the cerebellum and elevated in the cortex and hippocampus, regions implicated in AD. Interestingly, uptake was highest in the thalamus, a region often overlooked in AD studies. Development of small-animal PET/MRI enables tracking of brain region-specific pathology in mouse models, which may prove invaluable to understanding AD progression and therapeutic development. © 2020, The Author(s).
Journal Title: Scientific Reports
Volume: 10
ISSN: 2045-2322
Publisher: Nature Publishing Group  
Date Published: 2020-06-25
Start Page: 10379
Language: English
DOI: 10.1038/s41598-020-67284-z
PUBMED: 32587315
PROVIDER: scopus
PMCID: PMC7316864
DOI/URL:
Notes: Article -- Erratum issued, see DOI: 10.1038/s41598-020-70134-7 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Pat B Zanzonico
    355 Zanzonico
  2. Hongbiao Carl Lekaye
    32 Lekaye
  3. Jason A Koutcher
    278 Koutcher
  4. Yueming Li
    132 Li
  5. Valerie Ann Longo
    37 Longo
  6. Georgia Frost
    9 Frost
  7. Lauren Alexandra Jonas
    5 Jonas
  8. Thomas Li
    5 Li