% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Teipel:136392,
      author       = {Teipel, Stefan J and Reuter, Sigrid and Stieltjes, Bram and
                      Acosta-Cabronero, Julio and Ernemann, Ulrike and Fellgiebel,
                      Andreas and Filippi, Massimo and Frisoni, Giovanni and
                      Hentschel, Frank and Jessen, Frank and Klöppel, Stefan and
                      Meindl, Thomas and Pouwels, Petra J W and Hauenstein,
                      Karl-Heinz and Hampel, Harald},
      title        = {{M}ulticenter stability of diffusion tensor imaging
                      measures: a {E}uropean clinical and physical phantom study.},
      journal      = {Psychiatry research},
      volume       = {194},
      number       = {3},
      issn         = {0925-4927},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {DZNE-2020-02714},
      pages        = {363-371},
      year         = {2011},
      abstract     = {Diffusion tensor imaging (DTI) detects white matter damage
                      in neuro-psychiatric disorders, but data on reliability of
                      DTI measures across more than two scanners are still
                      missing. In this study we assessed multicenter
                      reproducibility of DTI acquisitions based on a physical
                      phantom as well as brain scans across 16 scanners. In
                      addition, we performed DTI scans in a group of 26 patients
                      with clinically probable Alzheimer's disease (AD) and 12
                      healthy elderly controls at one single center. We determined
                      the variability of fractional anisotropy (FA) measures using
                      manually placed regions of interest as well as automated
                      tract based spatial statistics and deformation based
                      analysis. The coefficient of variation (CV) of FA was
                      $6.9\%$ for the physical phantom data. The mean CV across
                      the multicenter brain scans was $14\%$ for tract based
                      statistics, and $29\%$ for deformation based analysis. The
                      degree of variation was higher in less organized fiber
                      tracts. Our findings suggest that a clinical and physical
                      phantom study involving more than two scanners is
                      indispensable to detect potential sources of bias and to
                      reliably estimate effect size in multicenter diagnostic
                      trials using DTI.},
      keywords     = {Aged / Aged, 80 and over / Alzheimer Disease: diagnosis /
                      Anisotropy / Bias / Brain: pathology / Brain Mapping /
                      Diffusion Tensor Imaging: methods / Europe / Female / Humans
                      / Middle Aged / Nerve Fibers, Myelinated: pathology /
                      Phantoms, Imaging / Young Adult},
      cin          = {AG Teipel},
      ddc          = {610},
      cid          = {I:(DE-2719)1510100},
      pnm          = {344 - Clinical and Health Care Research (POF3-344)},
      pid          = {G:(DE-HGF)POF3-344},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:22078796},
      doi          = {10.1016/j.pscychresns.2011.05.012},
      url          = {https://pub.dzne.de/record/136392},
}