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@ARTICLE{Hammes:892433,
author = {Hammes, Jochen and Bischof, Gérard N. and Bohn, Karl P.
and Onur, Özgür and Schneider, Anja and Fliessbach, Klaus
and Hönig, Merle C and Jessen, Frank and Neumaier, Bernd
and Drzezga, Alexander and van Eimeren, Thilo},
title = {{O}ne-{S}top {S}hop: 18 {F}-{F}lortaucipir {PET}
{D}ifferentiates {A}myloid-{P}ositive and -{N}egative
{F}orms of {N}eurodegenerative {D}iseases},
journal = {Journal of nuclear medicine},
volume = {62},
number = {2},
issn = {2159-662X},
address = {New York, NY},
publisher = {Soc.},
reportid = {FZJ-2021-02079},
pages = {240 - 246},
year = {2021},
abstract = {Tau protein aggregations are a hallmark of
amyloid-associated Alzheimer disease and some forms of
non–amyloid-associated frontotemporal lobar degeneration.
In recent years, several tracers for in vivo tau imaging
have been under evaluation. This study investigated the
ability of 18F-flortaucipir PET not only to assess tau
positivity but also to differentiate between
amyloid-positive and -negative forms of neurodegeneration on
the basis of different 18F-flortaucipir PET signatures.
Methods: The 18F-flortaucipir PET data of 35 patients with
amyloid-positive neurodegeneration, 19 patients with
amyloid-negative neurodegeneration, and 17 healthy controls
were included in a data-driven scaled subprofile model
(SSM)/principal-component analysis (PCA) identifying spatial
covariance patterns. SSM/PCA pattern expression strengths
were tested for their ability to predict amyloid status in a
receiver-operating-characteristic analysis and validated
with a leave-one-out approach. Results: Pattern expression
strengths predicted amyloid status with a sensitivity of
0.94 and a specificity of 0.83. A support vector machine
classification based on pattern expression strengths in 2
different SSM/PCA components yielded a prediction accuracy
of $98\%.$ Anatomically, prediction performance was driven
by parietooccipital gray matter in amyloid-positive patients
versus predominant white matter binding in amyloid-negative
patients. Conclusion: SSM/PCA-derived binding patterns of
18F-flortaucipir differentiate between amyloid-positive and
-negative neurodegenerative diseases with high accuracy.
18F-flortaucipir PET alone may convey additional information
equivalent to that from amyloid PET. Together with a
perfusion-weighted early-phase acquisition (18F-FDG
PET–equivalent), a single scan potentially contains
comprehensive information on amyloid (A), tau (T), and
neurodegeneration (N) status as required by recent biomarker
classification algorithms (A/T/N).},
cin = {INM-3 / INM-2 / INM-5},
ddc = {610},
cid = {I:(DE-Juel1)INM-3-20090406 / I:(DE-Juel1)INM-2-20090406 /
I:(DE-Juel1)INM-5-20090406},
pnm = {525 - Decoding Brain Organization and Dysfunction
(POF4-525)},
pid = {G:(DE-HGF)POF4-525},
typ = {PUB:(DE-HGF)16},
pubmed = {32620704},
UT = {WOS:000621322300018},
doi = {10.2967/jnumed.120.244061},
url = {https://juser.fz-juelich.de/record/892433},
}