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

Autor: Koji Yamashita, Takahiro Kuwashiro, Kensuke Ishikawa, Kiyomi Furuya, Shino Harada, Seitaro Shin, Noriaki Wada, Chika Hirakawa, Yasushi Okada, Tomoyuki Noguchi
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: European Journal of Radiology Open, Vol 8, Iss , Pp 100359- (2021)
Druh dokumentu: article
ISSN: 2352-0477
DOI: 10.1016/j.ejro.2021.100359
Popis: 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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