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Identification of predictors for mini-mental state examination and revised Hasegawa's Dementia Scale scores using MR-based brain morphometry

Authors
  • Yamashita, Koji1
  • Kuwashiro, Takahiro2
  • Ishikawa, Kensuke3
  • Furuya, Kiyomi1
  • Harada, Shino1
  • Shin, Seitaro1
  • Wada, Noriaki1
  • Hirakawa, Chika4
  • Okada, Yasushi2
  • Noguchi, Tomoyuki1
  • 1 Department of Radiology, Clinical Research Institute, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka, 810-0065, Japan
  • 2 Department of Cerebrovascular Medicine and Neurology, Clinical Research Institute, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka, 810-0065, Japan
  • 3 Department of Psychiatry, Clinical Research Institute, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka, 810-0065, Japan
  • 4 Department of Medical Technology, Division of Radiology, National Hospital Organization Kyushu Medical Center, 1-8-1 Jigyohama, Chuo-ku, Fukuoka, 810-0065, Japan
Type
Published Article
Journal
European Journal of Radiology Open
Publisher
Elsevier
Publication Date
May 24, 2021
Volume
8
Identifiers
DOI: 10.1016/j.ejro.2021.100359
PMID: 34095357
PMCID: PMC8167144
Source
PubMed Central
Keywords
Disciplines
  • Article
License
Unknown

Abstract

Purpose The early detection of cognitive function decline is crucial to help manage or slow the progression of symptoms. The Mini-Mental State Examination (MMSE) and revised Hasegawa's Dementia Scale (HDS-R) are widely used in screening for cognitive impairment. The purpose of this study was to explore common predictors of the two different cognitive testing systems using MR-based brain morphometry. Materials and Methods This retrospective study included 200 subjects with clinical suspicion of cognitive impairment who underwent 3D T1-weighted MRI at our institution between February 2019 and August 2020. Variables related to the volume of deep gray matter and 70 cortical thicknesses were obtained from the MR images using voxel-based specific regional analysis system for Alzheimer’s disease (VSRAD) and FreeSurfer software. The correlation between each variable including age and MMSE/HDS-R scores was evaluated using uni- and multi-variate logistic regression analyses. Results In univariate analysis, parameters include hippocampal volume and bilateral entorhinal cortex (ERC) thickness showed moderate correlation coefficients with both MMSE and HDS-R scores. Multivariate analysis demonstrated the right ERC thickness was the common parameter which significantly correlates with both MMSE and HDS-R scores (p < 0.05). Conclusion Right ERC thickness appears to offer a useful predictive biomarker for both MMSE and HDS-R scores.

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