| Autor: |
Nengzhi, Xia, Yanxuan, Li, Yingnan, Xue, Weikang, Li, Zhenhua, Zhang, Caiyun, Wen, Jiance, Li, Qiong, Ye |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
Brain imaging and behavior. 16(2) |
| ISSN: |
1931-7565 |
| Popis: |
Alzheimer's disease (AD) is the most common type of dementia, and characterizing brain changes in AD is important for clinical diagnosis and prognosis. This study was designed to evaluate the classification performance of intravoxel incoherent motion (IVIM) diffusion-weighted imaging in differentiating between AD patients and normal control (NC) subjects and to explore its potential effectiveness as a neuroimaging biomarker.Thirty-one patients with probable AD and twenty NC subjects were included in the prospective study. IVIM data were subjected to postprocessing, and parameters including the apparent diffusion coefficient (ADC), slow diffusion coefficient (DDiffusion MRI revealed significant region-specific differences that aided in differentiating AD patients from controls. Among the analyzed regions and parameters, the DIVIM imaging is a promising method for the classification of AD and NC subjects, and IVIM parameters of precuneus and cerebellum might be effective biomarker for the diagnosis of AD. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink