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Quantitative Analysis of Synthetic Magnetic Resonance Imaging in Alzheimer’s Disease

Authors :
Baohui Lou
Yuwei Jiang
Chunmei Li
Pu-Yeh Wu
Shuhua Li
Bin Qin
Haibo Chen
Rui Wang
Bing Wu
Min Chen
Source :
Frontiers in Aging Neuroscience, Vol 13 (2021)
Publication Year :
2021
Publisher :
Frontiers Media S.A., 2021.

Abstract

Objectives: The purpose of this study was to evaluate the feasibility and whether synthetic MRI can benefit diagnosis of Alzheimer’s disease (AD).Materials and Methods: Eighteen patients and eighteen age-matched normal controls (NCs) underwent MR examination. The mini-mental state examination (MMSE) scores were obtained from all patients. The whole brain volumetric characteristics, T1, T2, and proton density (PD) values of different cortical and subcortical regions were obtained. The volumetric characteristics and brain regional relaxation values between AD patients and NCs were compared using independent-samples t-test. The correlations between these quantitative parameters and MMSE score were assessed by the Pearson correlation in AD patients.Results: Although the larger volume of cerebrospinal fluid (CSF), lower brain parenchymal volume (BPV), and the ratio of brain parenchymal volume to intracranial volume (BPV/ICV) were found in AD patients compared with NCs, there were no significant differences (p > 0.05). T1 values of right insula cortex and T2 values of left hippocampus and right insula cortex were significantly higher in AD patients than in NCs, but T1 values of left caudate showed a reverse trend (p < 0.05). As the MMSE score decreased in AD patients, the BPV and BPV/ICV decreased, while the volume of CSF and T1 values of bilateral insula cortex and bilateral hippocampus as well as T2 values of bilateral hippocampus increased (p < 0.05).Conclusion: Synthetic MRI not only provides more information to differentiate AD patients from normal controls, but also reflects the disease severity of AD.

Details

Language :
English
ISSN :
16634365
Volume :
13
Database :
Directory of Open Access Journals
Journal :
Frontiers in Aging Neuroscience
Publication Type :
Academic Journal
Accession number :
edsdoj.6b1c87bd06a4dfa84affac38f7df045
Document Type :
article
Full Text :
https://doi.org/10.3389/fnagi.2021.638731