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Diffusion Tensor Tractography versus Volumetric Imaging in the Diagnosis of Behavioral Variant Frontotemporal Dementia.

Santillo, Alexander Frizell; Mårtensson, Johanna LU ; Lindberg, Olof; Nilsson, Markus LU ; Manzouri, Amir; Landqvist Waldö, Maria; van Westen, Danielle LU ; Wahlund, Lars-Olof; Lätt, Jimmy LU and Nilsson, Christer C LU (2013) In PLoS ONE 8(7).
Abstract
MRI diffusion tensor imaging (DTI) studies of white matter integrity in behavioral variant frontotemporal dementia have consistently shown involvement of frontal and temporal white matter, corresponding to regional loss of cortical volume. Volumetric imaging has a suboptimal sensitivity as a diagnostic tool and thus we wanted to explore if DTI is a better method to discriminate patients and controls than volumetric imaging. We examined the anterior cingulum bundle in 14 patients with behavioral variant frontotemporal dementia and 22 healthy controls using deterministic manual diffusion tensor tractography, and compared DTI parameters with two measures of cortical atrophy, VBM and cortical thickness, of the anterior cingulate cortex (ACC).... (More)
MRI diffusion tensor imaging (DTI) studies of white matter integrity in behavioral variant frontotemporal dementia have consistently shown involvement of frontal and temporal white matter, corresponding to regional loss of cortical volume. Volumetric imaging has a suboptimal sensitivity as a diagnostic tool and thus we wanted to explore if DTI is a better method to discriminate patients and controls than volumetric imaging. We examined the anterior cingulum bundle in 14 patients with behavioral variant frontotemporal dementia and 22 healthy controls using deterministic manual diffusion tensor tractography, and compared DTI parameters with two measures of cortical atrophy, VBM and cortical thickness, of the anterior cingulate cortex (ACC). Statistically significant changes between patients and controls were detected in all DTI parameters, with large effect sizes. ROC-AUC was for the best DTI parameters: 0.92 (fractional anisotropy) to 0.97 (radial diffusivity), 0.82 for the best cortical parameter, VBM of the ACC. Results from the AUC were confirmed with binary logistic regression analysis including demographic variables, but only for fractional anisotropy and mean diffusivity. Ability to classify patient/nonpatient status was significantly better for mean diffusivity vs. VBM (p=0.031), and borderline significant for fractional anisotropy vs. VBM (p=0.062). The results indicate that DTI could offer advantages in comparison with the assessment of cortical volume in differentiating patients with behavioral variant frontotemporal dementia and controls. (Less)
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author
organization
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Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
8
issue
7
publisher
Public Library of Science
external identifiers
  • wos:000324146200004
  • pmid:23874403
  • scopus:84880418244
ISSN
1932-6203
DOI
10.1371/journal.pone.0066932
language
English
LU publication?
yes
id
3bedd11e-1bbd-4a91-abb2-0f6a3f27a89e (old id 3955693)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23874403?dopt=Abstract
date added to LUP
2013-08-02 14:04:29
date last changed
2019-07-02 02:10:39
@article{3bedd11e-1bbd-4a91-abb2-0f6a3f27a89e,
  abstract     = {MRI diffusion tensor imaging (DTI) studies of white matter integrity in behavioral variant frontotemporal dementia have consistently shown involvement of frontal and temporal white matter, corresponding to regional loss of cortical volume. Volumetric imaging has a suboptimal sensitivity as a diagnostic tool and thus we wanted to explore if DTI is a better method to discriminate patients and controls than volumetric imaging. We examined the anterior cingulum bundle in 14 patients with behavioral variant frontotemporal dementia and 22 healthy controls using deterministic manual diffusion tensor tractography, and compared DTI parameters with two measures of cortical atrophy, VBM and cortical thickness, of the anterior cingulate cortex (ACC). Statistically significant changes between patients and controls were detected in all DTI parameters, with large effect sizes. ROC-AUC was for the best DTI parameters: 0.92 (fractional anisotropy) to 0.97 (radial diffusivity), 0.82 for the best cortical parameter, VBM of the ACC. Results from the AUC were confirmed with binary logistic regression analysis including demographic variables, but only for fractional anisotropy and mean diffusivity. Ability to classify patient/nonpatient status was significantly better for mean diffusivity vs. VBM (p=0.031), and borderline significant for fractional anisotropy vs. VBM (p=0.062). The results indicate that DTI could offer advantages in comparison with the assessment of cortical volume in differentiating patients with behavioral variant frontotemporal dementia and controls.},
  articleno    = {e66932},
  author       = {Santillo, Alexander Frizell and Mårtensson, Johanna and Lindberg, Olof and Nilsson, Markus and Manzouri, Amir and Landqvist Waldö, Maria and van Westen, Danielle and Wahlund, Lars-Olof and Lätt, Jimmy and Nilsson, Christer C},
  issn         = {1932-6203},
  language     = {eng},
  number       = {7},
  publisher    = {Public Library of Science},
  series       = {PLoS ONE},
  title        = {Diffusion Tensor Tractography versus Volumetric Imaging in the Diagnosis of Behavioral Variant Frontotemporal Dementia.},
  url          = {http://dx.doi.org/10.1371/journal.pone.0066932},
  volume       = {8},
  year         = {2013},
}