Structural MRI in Frontotemporal Dementia

Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry

Miguel Ángel Muñoz-Ruiz, Päivi Hartikainen, Juha Koikkalainen, Robin Wolz, Valtteri Julkunen, Eini Niskanen, Sanna-Kaisa Herukka, Miia Kivipelto, Ritva Vanninen, Daniel Rueckert, Yawu Liu, Jyrki Lötjönen, Hilkka Soininen (Corresponding Author)

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Abstract

MRI is an important clinical tool for diagnosing dementia-like diseases such as Frontemporal Dementia (FTD). However there is a need to develop more accurate and standardized MRI analysis methods. The objective was to compare FTD with Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) with three automatic MRI analysis methods - Hippocampal Volumetry (HV), Tensor-based Morphometry (TBM) and Voxel-based Morphometry (VBM), in specific regions of interest in order to determine the highest classification accuracy. Thirty-seven patients with FTD, 46 patients with AD, 26 control subjects, 16 patients with progressive MCI (PMCI) and 48 patients with stable MCI (SMCI) were examined with HV, TBM for shape change, and VBM for gray matter density. We calculated the Correct Classification Rate (CCR), sensitivity (SS) and specificity (SP) between the study groups. We found unequivocal results differentiating controls from FTD with HV (hippocampus left side) (CCR = 0.83; SS = 0.84; SP = 0.80), with TBM (hippocampus and amygdala (CCR = 0.80/SS = 0.71/SP = 0.94), and with VBM (all the regions studied, especially in lateral ventricle frontal horn, central part and occipital horn) (CCR = 0.87/SS = 0.81/SP = 0.96). VBM achieved the highest accuracy in differentiating AD and FTD (CCR = 0.72/SS = 0.67/SP = 0.76), particularly in lateral ventricle (frontal horn, central part and occipital horn) (CCR = 0.73), whereas TBM in superior frontal gyrus also achieved a high accuracy (CCR = 0.71/SS = 0.68/SP = 0.73). TBM resulted in low accuracy (CCR = 0.62) in the differentiation of AD from FTD using all regions of interest, with similar results for HV (CCR = 0.55). Hippocampal atrophy is present not only in AD but also in FTD. Of the methods used, VBM achieved the highest accuracy in its ability to differentiate between FTD and AD.
Original languageEnglish
Article number52531
JournalPLoS ONE
Volume7
Issue number12
DOIs
Publication statusPublished - 2012
MoE publication typeA1 Journal article-refereed

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Frontotemporal Dementia
dementia
morphometry
Magnetic resonance imaging
Tensors
Dementia
Alzheimer disease
Alzheimer Disease
Sensitivity and Specificity
Lateral Ventricles
hippocampus
Horns
Hippocampus
Disease control
amygdala
Aptitude
Amygdala
Prefrontal Cortex
atrophy
Atrophy

Cite this

Muñoz-Ruiz, M. Á., Hartikainen, P., Koikkalainen, J., Wolz, R., Julkunen, V., Niskanen, E., ... Soininen, H. (2012). Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry. PLoS ONE, 7(12), [52531]. https://doi.org/10.1371/journal.pone.0052531
Muñoz-Ruiz, Miguel Ángel ; Hartikainen, Päivi ; Koikkalainen, Juha ; Wolz, Robin ; Julkunen, Valtteri ; Niskanen, Eini ; Herukka, Sanna-Kaisa ; Kivipelto, Miia ; Vanninen, Ritva ; Rueckert, Daniel ; Liu, Yawu ; Lötjönen, Jyrki ; Soininen, Hilkka. / Structural MRI in Frontotemporal Dementia : Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry. In: PLoS ONE. 2012 ; Vol. 7, No. 12.
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abstract = "MRI is an important clinical tool for diagnosing dementia-like diseases such as Frontemporal Dementia (FTD). However there is a need to develop more accurate and standardized MRI analysis methods. The objective was to compare FTD with Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) with three automatic MRI analysis methods - Hippocampal Volumetry (HV), Tensor-based Morphometry (TBM) and Voxel-based Morphometry (VBM), in specific regions of interest in order to determine the highest classification accuracy. Thirty-seven patients with FTD, 46 patients with AD, 26 control subjects, 16 patients with progressive MCI (PMCI) and 48 patients with stable MCI (SMCI) were examined with HV, TBM for shape change, and VBM for gray matter density. We calculated the Correct Classification Rate (CCR), sensitivity (SS) and specificity (SP) between the study groups. We found unequivocal results differentiating controls from FTD with HV (hippocampus left side) (CCR = 0.83; SS = 0.84; SP = 0.80), with TBM (hippocampus and amygdala (CCR = 0.80/SS = 0.71/SP = 0.94), and with VBM (all the regions studied, especially in lateral ventricle frontal horn, central part and occipital horn) (CCR = 0.87/SS = 0.81/SP = 0.96). VBM achieved the highest accuracy in differentiating AD and FTD (CCR = 0.72/SS = 0.67/SP = 0.76), particularly in lateral ventricle (frontal horn, central part and occipital horn) (CCR = 0.73), whereas TBM in superior frontal gyrus also achieved a high accuracy (CCR = 0.71/SS = 0.68/SP = 0.73). TBM resulted in low accuracy (CCR = 0.62) in the differentiation of AD from FTD using all regions of interest, with similar results for HV (CCR = 0.55). Hippocampal atrophy is present not only in AD but also in FTD. Of the methods used, VBM achieved the highest accuracy in its ability to differentiate between FTD and AD.",
author = "Mu{\~n}oz-Ruiz, {Miguel {\'A}ngel} and P{\"a}ivi Hartikainen and Juha Koikkalainen and Robin Wolz and Valtteri Julkunen and Eini Niskanen and Sanna-Kaisa Herukka and Miia Kivipelto and Ritva Vanninen and Daniel Rueckert and Yawu Liu and Jyrki L{\"o}tj{\"o}nen and Hilkka Soininen",
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Muñoz-Ruiz, MÁ, Hartikainen, P, Koikkalainen, J, Wolz, R, Julkunen, V, Niskanen, E, Herukka, S-K, Kivipelto, M, Vanninen, R, Rueckert, D, Liu, Y, Lötjönen, J & Soininen, H 2012, 'Structural MRI in Frontotemporal Dementia: Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry', PLoS ONE, vol. 7, no. 12, 52531. https://doi.org/10.1371/journal.pone.0052531

Structural MRI in Frontotemporal Dementia : Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry. / Muñoz-Ruiz, Miguel Ángel; Hartikainen, Päivi; Koikkalainen, Juha; Wolz, Robin; Julkunen, Valtteri; Niskanen, Eini; Herukka, Sanna-Kaisa; Kivipelto, Miia; Vanninen, Ritva; Rueckert, Daniel; Liu, Yawu; Lötjönen, Jyrki; Soininen, Hilkka (Corresponding Author).

In: PLoS ONE, Vol. 7, No. 12, 52531, 2012.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - Structural MRI in Frontotemporal Dementia

T2 - Comparisons between Hippocampal Volumetry, Tensor-Based Morphometry and Voxel-Based Morphometry

AU - Muñoz-Ruiz, Miguel Ángel

AU - Hartikainen, Päivi

AU - Koikkalainen, Juha

AU - Wolz, Robin

AU - Julkunen, Valtteri

AU - Niskanen, Eini

AU - Herukka, Sanna-Kaisa

AU - Kivipelto, Miia

AU - Vanninen, Ritva

AU - Rueckert, Daniel

AU - Liu, Yawu

AU - Lötjönen, Jyrki

AU - Soininen, Hilkka

PY - 2012

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N2 - MRI is an important clinical tool for diagnosing dementia-like diseases such as Frontemporal Dementia (FTD). However there is a need to develop more accurate and standardized MRI analysis methods. The objective was to compare FTD with Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) with three automatic MRI analysis methods - Hippocampal Volumetry (HV), Tensor-based Morphometry (TBM) and Voxel-based Morphometry (VBM), in specific regions of interest in order to determine the highest classification accuracy. Thirty-seven patients with FTD, 46 patients with AD, 26 control subjects, 16 patients with progressive MCI (PMCI) and 48 patients with stable MCI (SMCI) were examined with HV, TBM for shape change, and VBM for gray matter density. We calculated the Correct Classification Rate (CCR), sensitivity (SS) and specificity (SP) between the study groups. We found unequivocal results differentiating controls from FTD with HV (hippocampus left side) (CCR = 0.83; SS = 0.84; SP = 0.80), with TBM (hippocampus and amygdala (CCR = 0.80/SS = 0.71/SP = 0.94), and with VBM (all the regions studied, especially in lateral ventricle frontal horn, central part and occipital horn) (CCR = 0.87/SS = 0.81/SP = 0.96). VBM achieved the highest accuracy in differentiating AD and FTD (CCR = 0.72/SS = 0.67/SP = 0.76), particularly in lateral ventricle (frontal horn, central part and occipital horn) (CCR = 0.73), whereas TBM in superior frontal gyrus also achieved a high accuracy (CCR = 0.71/SS = 0.68/SP = 0.73). TBM resulted in low accuracy (CCR = 0.62) in the differentiation of AD from FTD using all regions of interest, with similar results for HV (CCR = 0.55). Hippocampal atrophy is present not only in AD but also in FTD. Of the methods used, VBM achieved the highest accuracy in its ability to differentiate between FTD and AD.

AB - MRI is an important clinical tool for diagnosing dementia-like diseases such as Frontemporal Dementia (FTD). However there is a need to develop more accurate and standardized MRI analysis methods. The objective was to compare FTD with Alzheimer's Disease (AD) and Mild Cognitive Impairment (MCI) with three automatic MRI analysis methods - Hippocampal Volumetry (HV), Tensor-based Morphometry (TBM) and Voxel-based Morphometry (VBM), in specific regions of interest in order to determine the highest classification accuracy. Thirty-seven patients with FTD, 46 patients with AD, 26 control subjects, 16 patients with progressive MCI (PMCI) and 48 patients with stable MCI (SMCI) were examined with HV, TBM for shape change, and VBM for gray matter density. We calculated the Correct Classification Rate (CCR), sensitivity (SS) and specificity (SP) between the study groups. We found unequivocal results differentiating controls from FTD with HV (hippocampus left side) (CCR = 0.83; SS = 0.84; SP = 0.80), with TBM (hippocampus and amygdala (CCR = 0.80/SS = 0.71/SP = 0.94), and with VBM (all the regions studied, especially in lateral ventricle frontal horn, central part and occipital horn) (CCR = 0.87/SS = 0.81/SP = 0.96). VBM achieved the highest accuracy in differentiating AD and FTD (CCR = 0.72/SS = 0.67/SP = 0.76), particularly in lateral ventricle (frontal horn, central part and occipital horn) (CCR = 0.73), whereas TBM in superior frontal gyrus also achieved a high accuracy (CCR = 0.71/SS = 0.68/SP = 0.73). TBM resulted in low accuracy (CCR = 0.62) in the differentiation of AD from FTD using all regions of interest, with similar results for HV (CCR = 0.55). Hippocampal atrophy is present not only in AD but also in FTD. Of the methods used, VBM achieved the highest accuracy in its ability to differentiate between FTD and AD.

U2 - 10.1371/journal.pone.0052531

DO - 10.1371/journal.pone.0052531

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JF - PLoS ONE

SN - 1932-6203

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