Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease

doi:10.1007/s11682-021-00538-0

	Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease
	Xia, Nengzhi 1; Li, Yanxuan 1; Xue, Yingnan 1; Li, Weikang 1; Zhang, Zhenhua 1; Wen, Caiyun 1; Li, Jiance 1; Ye, Qiong 1,2
刊名	BRAIN IMAGING AND BEHAVIOR
	2021-09-04
关键词	Intravoxel incoherent motion Diffusion Cross-validation Alzheimer's disease Precuneus
ISSN号	1931-7557
DOI	10.1007/s11682-021-00538-0
通讯作者	Ye, Qiong(94301699@qq.com)
英文摘要	Objectives 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. Methods 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 (D-s), fast diffusion coefficient (D-f), perfusion fraction (fp) and D-f*fp were calculated. The classification model was developed and confirmed with cross-validation (group A/B) using Support Vector Machine (SVM). Correlations between IVIM parameters and Mini-Mental State Examination (MMSE) scores in AD patients were investigated using partial correlation analysis. Results Diffusion MRI revealed significant region-specific differences that aided in differentiating AD patients from controls. Among the analyzed regions and parameters, the D-f of the right precuneus (PreR) (rho = 0.515; P = 0.006) and the left cerebellum (CL) (rho = 0.429; P = 0.026) demonstrated significant associations with the cognitive function of AD patients. An area under the receiver operating characteristics curve (AUC) of 0.84 (95% CI: 0.66, 0.99) was calculated for the validation in dataset B after the prediction model was trained on dataset A. When the datasets were reversed, an AUC of 0.90 (95% CI: 0.75, 1.00) was calculated for the validation in dataset A, after the prediction model trained in dataset B. Conclusion IVIM 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.
资助项目	National Natural Science Foundation of China[81401544] ; Natural Science Foundation of Zhejiang Province of China[LQ14H180006] ; Wenzhou Science and Technology Plan Project[Y20160469] ; Wenzhou Science and Technology Plan Project[Y20150087] ; Research Incubation Project of the First Affiliated Hospital of Wenzhou Medical University[FHY2019071]
WOS关键词	MILD COGNITIVE IMPAIRMENT ; WHITE-MATTER ; FUNCTIONAL CONNECTIVITY ; DIFFERENTIAL-DIAGNOSIS ; MRI ; DEMENTIA ; CANCER ; PERFUSION ; CLASSIFICATION ; COEFFICIENT
WOS研究方向	Neurosciences & Neurology
语种	英语
出版者	SPRINGER
WOS记录号	WOS:000692615400001
资助机构	National Natural Science Foundation of China ; Natural Science Foundation of Zhejiang Province of China ; Wenzhou Science and Technology Plan Project ; Research Incubation Project of the First Affiliated Hospital of Wenzhou Medical University
内容类型	期刊论文
源URL	[http://ir.hfcas.ac.cn:8080/handle/334002/125281]
专题	中国科学院合肥物质科学研究院
通讯作者	Ye, Qiong
作者单位	1.Wenzhou Med Univ, Dept Radiol, Affiliated Hosp 1, Wenzhou, Peoples R China 2.Chinese Acad Sci, Hefei Inst Phys Sci, High Magnet Field Lab, Hefei, Peoples R China
推荐引用方式 GB/T 7714	Xia, Nengzhi,Li, Yanxuan,Xue, Yingnan,et al. Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease[J]. BRAIN IMAGING AND BEHAVIOR,2021.
APA	Xia, Nengzhi.,Li, Yanxuan.,Xue, Yingnan.,Li, Weikang.,Zhang, Zhenhua.,...&Ye, Qiong.(2021).Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease.BRAIN IMAGING AND BEHAVIOR.
MLA	Xia, Nengzhi,et al."Intravoxel incoherent motion diffusion-weighted imaging in the characterization of Alzheimer's disease".BRAIN IMAGING AND BEHAVIOR (2021).