| Autor: |
Qun Yu, Yingren Mai, Yuting Ruan, Yishan Luo, Lei Zhao, Wenli Fang, Zhiyu Cao, Yi Li, Wang Liao, Songhua Xiao, Vincent C. T. Mok, Lin Shi, Jun Liu, the National Alzheimer’s Coordinating Center, the Alzheimer’s Disease Neuroimaging Initiative, the Frontotemporal Lobar Degeneration Neuroimaging Initiative |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Alzheimer’s Research & Therapy, Vol 13, Iss 1, Pp 1-12 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
1758-9193 |
| DOI: |
10.1186/s13195-020-00757-5 |
| Popis: |
Abstract Background The differential diagnosis of frontotemporal dementia (FTD) and Alzheimer’s disease (AD) is difficult due to the overlaps of clinical symptoms. Structural magnetic resonance imaging (sMRI) presents distinct brain atrophy and potentially helps in their differentiation. In this study, we aim at deriving a novel integrated index by leveraging the volumetric measures in brain regions with significant difference between AD and FTD and developing an MRI-based strategy for the differentiation of FTD and AD. Methods In this study, the data were acquired from three different databases, including 47 subjects with FTD, 47 subjects with AD, and 47 normal controls in the NACC database; 50 subjects with AD in the ADNI database; and 50 subjects with FTD in the FTLDNI database. The MR images of all subjects were automatically segmented, and the brain atrophy, including the AD resemblance atrophy index (AD-RAI), was quantified using AccuBrain®. A novel MRI index, named the frontotemporal dementia index (FTDI), was derived as the ratio between the weighted sum of the volumetric indexes in “FTD dominant” structures over that obtained from “AD dominant” structures. The weights and the identification of “FTD/AD dominant” structures were acquired from the statistical analysis of NACC data. The differentiation performance of FTDI was validated using independent data from ADNI and FTLDNI databases. Results AD-RAI is a proven imaging biomarker to identify AD and FTD from NC with significantly higher values (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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