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Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology

Voxel-based morphometry (VBM) analysis of nuclear Magnetic Resonance Imaging (MRI) data allows the identification of medial temporal lobe (MTL) atrophy and is widely used to assist the diagnosis of Alzheimer’s disease (AD). However, its reliability in the clinical environment has not yet been confir...

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Autores principales: Kameyama, Masashi, Ishibashi, Kenji, Toyohara, Jun, Wagatsuma, Kei, Umeda-Kameyama, Yumi, Shimoji, Keigo, Kanemaru, Kazutomi, Murayama, Shigeo, Ogawa, Sumito, Tokumaru, Aya M., Ishii, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732322/
https://www.ncbi.nlm.nih.gov/pubmed/33024054
http://dx.doi.org/10.18632/aging.104012
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author Kameyama, Masashi
Ishibashi, Kenji
Toyohara, Jun
Wagatsuma, Kei
Umeda-Kameyama, Yumi,
Shimoji, Keigo
Kanemaru, Kazutomi
Murayama, Shigeo
Ogawa, Sumito
Tokumaru, Aya M.
Ishii, Kenji
author_facet Kameyama, Masashi
Ishibashi, Kenji
Toyohara, Jun
Wagatsuma, Kei
Umeda-Kameyama, Yumi,
Shimoji, Keigo
Kanemaru, Kazutomi
Murayama, Shigeo
Ogawa, Sumito
Tokumaru, Aya M.
Ishii, Kenji
author_sort Kameyama, Masashi
collection PubMed
description Voxel-based morphometry (VBM) analysis of nuclear Magnetic Resonance Imaging (MRI) data allows the identification of medial temporal lobe (MTL) atrophy and is widely used to assist the diagnosis of Alzheimer’s disease (AD). However, its reliability in the clinical environment has not yet been confirmed. To determine the credibility of VBM, amyloid positron emission tomography (PET) and VBM studies were compared retrospectively. Patients who underwent Pittsburgh Compound B (PiB) PET were retrospectively recruited. Ninety-seven patients were found to be amyloid negative and 116 were amyloid positive. MTL atrophy in the PiB positive group, as quantified by thin sliced 3D MRI and VBM software, was significantly more severe (p =0.0039) than in the PiB negative group. However, data histogram showed a vast overlap between the two groups. The area under the ROC curve (AUC) was 0.646. MMSE scores of patients in the amyloid negative and positive groups were also significantly different (p = 0.0028), and the AUC was 0.672. Thus, MTL atrophy could not reliably differentiate between amyloid positive and negative patients in a clinical setting, possibly due to the wide array of dementia-type diseases that exist other than AD.
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spelling pubmed-77323222020-12-18 Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology Kameyama, Masashi Ishibashi, Kenji Toyohara, Jun Wagatsuma, Kei Umeda-Kameyama, Yumi, Shimoji, Keigo Kanemaru, Kazutomi Murayama, Shigeo Ogawa, Sumito Tokumaru, Aya M. Ishii, Kenji Aging (Albany NY) Research Paper Voxel-based morphometry (VBM) analysis of nuclear Magnetic Resonance Imaging (MRI) data allows the identification of medial temporal lobe (MTL) atrophy and is widely used to assist the diagnosis of Alzheimer’s disease (AD). However, its reliability in the clinical environment has not yet been confirmed. To determine the credibility of VBM, amyloid positron emission tomography (PET) and VBM studies were compared retrospectively. Patients who underwent Pittsburgh Compound B (PiB) PET were retrospectively recruited. Ninety-seven patients were found to be amyloid negative and 116 were amyloid positive. MTL atrophy in the PiB positive group, as quantified by thin sliced 3D MRI and VBM software, was significantly more severe (p =0.0039) than in the PiB negative group. However, data histogram showed a vast overlap between the two groups. The area under the ROC curve (AUC) was 0.646. MMSE scores of patients in the amyloid negative and positive groups were also significantly different (p = 0.0028), and the AUC was 0.672. Thus, MTL atrophy could not reliably differentiate between amyloid positive and negative patients in a clinical setting, possibly due to the wide array of dementia-type diseases that exist other than AD. Impact Journals 2020-10-05 /pmc/articles/PMC7732322/ /pubmed/33024054 http://dx.doi.org/10.18632/aging.104012 Text en Copyright: © 2020 Kameyama et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Kameyama, Masashi
Ishibashi, Kenji
Toyohara, Jun
Wagatsuma, Kei
Umeda-Kameyama, Yumi,
Shimoji, Keigo
Kanemaru, Kazutomi
Murayama, Shigeo
Ogawa, Sumito
Tokumaru, Aya M.
Ishii, Kenji
Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology
title Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology
title_full Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology
title_fullStr Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology
title_full_unstemmed Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology
title_short Voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an Alzheimer’s disease pathology
title_sort voxel-based morphometry focusing on medial temporal lobe structures has a limited capability to detect amyloid β, an alzheimer’s disease pathology
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7732322/
https://www.ncbi.nlm.nih.gov/pubmed/33024054
http://dx.doi.org/10.18632/aging.104012
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