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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},
}