Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment
文献类型：期刊论文
| 作者 | Feng, Feng1,2; Wang, Pan2,3 ; Zhao, Kun4,5; Zhou, Bo2; Yao, Hongxiang6; Meng, Qingqing2; Wang, Lei1; Zhang, Zengqiang2,7; Ding, Yanhui5; Wang, Luning2
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| 刊名 | FRONTIERS IN AGING NEUROSCIENCE
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| 出版日期 | 2018-09-25 |
| 卷号 | 10 |
| 关键词 | Alzheimer's Disease Amnestic Mild Cognitive Impairment Hippocampal Subregions Radiomic Features Support Vector Machine |
| ISSN号 | 1663-4365 |
| DOI | 10.3389/fnagi.2018.00290 |
| 文献子类 | Article |
| 英文摘要 | Alzheimer's disease (AD) is characterized by progressive dementia, especially in episodic memory, and amnestic mild cognitive impairment (aMCI) is associated with a high risk of developing AD. Hippocampal atrophy/shape changes are believed to be the most robust magnetic resonance imaging (MRI) markers for AD and aMCI. Radiomics, a method of texture analysis, can quantitatively examine a large set of features and has previously been successfully applied to evaluate imaging biomarkers for AD. To test whether radiomic features in the hippocampus can be employed for early classification of AD and aMCI, 1692 features from the caudal and head parts of the bilateral hippocampus were extracted from 38 AD patients, 33 aMCI patients and 45 normal controls (NCs). One way analysis of variance (ANOVA) showed that 111 features exhibited statistically significant group differences (P < 0.01, Bonferroni corrected). Among these features, 98 were significantly correlated with Mini-Mental State Examination (MMSE) scores in AD and aMCI subjects (P < 0.01). The support vector machine (SVM) model demonstrated that radiomic features allowed us to distinguish AD from NC with an accuracy of 86.75% (specificity = 88.89% and sensitivity = 84.21%) and an area under curve (AUC) of 0.93. In conclusion, these findings provide evidence showing that radiomic features are beneficial in detecting early cognitive decline, and SVM classification analysis provides encouraging evidence for using hippocampal radiomic features as a potential biomarker for clinical applications in AD. |
| WOS关键词 | RESTING-STATE FMRI ; VOXEL-BASED MORPHOMETRY ; FUNCTIONAL CONNECTIVITY ; TEXTURE ANALYSIS ; ASSOCIATION WORKGROUPS ; DIAGNOSTIC GUIDELINES ; NATIONAL INSTITUTE ; IMAGING BIOMARKERS ; SEMANTIC DEMENTIA ; STRUCTURAL MRI |
| WOS研究方向 | Geriatrics & Gerontology ; Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000445600600001 |
| 出版者 | FRONTIERS MEDIA SA |
| 资助机构 | National Key Research and Development Program of China(2016YFC1305904) ; National Natural Science Foundation of China(81571062 ; Strategic Priority Research Program (B) of Chinese Academy of Sciences(XDBS01020200) ; Youth Innovation Promotion Association CAS(2014119) ; Primary Research & Development Plan of Shandong Province(2017GGX10112) ; Youth Cultivate Project for Medical Research in PLA(16QNP136) ; specific Healthcare Research Projects(13BJZ50) ; 81471120 ; 61431012) |
| 源URL | [http://ir.ia.ac.cn/handle/173211/27912]  |
| 专题 | 自动化研究所_脑网络组研究中心 |
| 通讯作者 | Zhang, Xi; Liu, Yong |
| 作者单位 | 1.Gen Hosp PLA Rocket Force, Dept Neurol, Beijing, Peoples R China 2.Chinese Peoples Liberat Army Gen Hosp, Natl Clin Res Ctr Geriatr Dis, Nanlou Div, Dept Neurol, Beijing, Peoples R China 3.Tianjin Huanhu Hosp, Dept Neurol, Tianjin, Peoples R China 4.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Beijing, Peoples R China 5.Shandong Normal Univ, Sch Informat Sci & Engn, Jinan, Shandong, Peoples R China 6.Chinese Peoples Liberat Army Gen Hosp, Dept Radiol, Beijing, Peoples R China 7.Chinese Peoples Liberat Army Gen Hosp, Hainan Branch, Sanya, Peoples R China 8.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing, Peoples R China 9.Chinese Acad Sci, Inst Automat, CAS Ctr Excellence Brain Sci & Intelligence Techn, Beijing, Peoples R China 10.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Feng, Feng,Wang, Pan,Zhao, Kun,et al. Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment[J]. FRONTIERS IN AGING NEUROSCIENCE,2018,10. |
| APA | Feng, Feng.,Wang, Pan.,Zhao, Kun.,Zhou, Bo.,Yao, Hongxiang.,...&Liu, Yong.(2018).Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment.FRONTIERS IN AGING NEUROSCIENCE,10. |
| MLA | Feng, Feng,et al."Radiomic Features of Hippocampal Subregions in Alzheimer's Disease and Amnestic Mild Cognitive Impairment".FRONTIERS IN AGING NEUROSCIENCE 10(2018). |
入库方式： OAI收割
来源：自动化研究所
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