Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.

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 diagnos...

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Autores principales: Alexander Frizell Santillo, Johanna Mårtensson, Olof Lindberg, Markus Nilsson, Amir Manzouri, Maria Landqvist Waldö, Danielle van Westen, Lars-Olof Wahlund, Jimmy Lätt, Christer Nilsson
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Publicado: Public Library of Science (PLoS) 2013
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spelling oai:doaj.org-article:6d099bb697b746ba950f31a82602d19e2021-11-18T07:37:19ZDiffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.1932-620310.1371/journal.pone.0066932https://doaj.org/article/6d099bb697b746ba950f31a82602d19e2013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23874403/?tool=EBIhttps://doaj.org/toc/1932-6203MRI 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.Alexander Frizell SantilloJohanna MårtenssonOlof LindbergMarkus NilssonAmir ManzouriMaria Landqvist WaldöDanielle van WestenLars-Olof WahlundJimmy LättChrister NilssonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 7, p e66932 (2013)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Alexander Frizell Santillo
Johanna Mårtensson
Olof Lindberg
Markus Nilsson
Amir Manzouri
Maria Landqvist Waldö
Danielle van Westen
Lars-Olof Wahlund
Jimmy Lätt
Christer Nilsson
Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
description 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.
format article
author Alexander Frizell Santillo
Johanna Mårtensson
Olof Lindberg
Markus Nilsson
Amir Manzouri
Maria Landqvist Waldö
Danielle van Westen
Lars-Olof Wahlund
Jimmy Lätt
Christer Nilsson
author_facet Alexander Frizell Santillo
Johanna Mårtensson
Olof Lindberg
Markus Nilsson
Amir Manzouri
Maria Landqvist Waldö
Danielle van Westen
Lars-Olof Wahlund
Jimmy Lätt
Christer Nilsson
author_sort Alexander Frizell Santillo
title Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
title_short Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
title_full Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
title_fullStr Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
title_full_unstemmed Diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
title_sort diffusion tensor tractography versus volumetric imaging in the diagnosis of behavioral variant frontotemporal dementia.
publisher Public Library of Science (PLoS)
publishDate 2013
url https://doaj.org/article/6d099bb697b746ba950f31a82602d19e
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