globalchange  > 气候变化与战略
DOI: 10.1016/j.scib.2020.04.003
论文题名:
Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis
作者: Zhao K.; Ding Y.; Han Y.; Fan Y.; Alexander-Bloch A.F.; Han T.; Jin D.; Liu B.; Lu J.; Song C.; Wang P.; Wang D.; Wang Q.; Xu K.; Yang H.; Yao H.; Zheng Y.; Yu C.; Zhou B.; Zhang X.; Zhou Y.; Jiang T.; Zhang X.; Liu Y.; Alzheimer's Disease Neuroimaging Initiative; Multi-Center Alzheimer Disease Imaging Consortium
刊名: Science Bulletin
ISSN: 20959273
出版年: 2020
卷: 65, 期:13
起始页码: 1103
结束页码: 1113
语种: 英语
中文关键词: Biological basis ; Brain biomarker ; Hippocampal radiomic features ; Independent cross-validation ; Multisite Alzheimer's disease MRI
英文关键词: Biomarkers ; Brain ; Cerebrospinal fluid ; Large dataset ; Neurodegenerative diseases ; Risk assessment ; Support vector machines ; Alzheimer's disease ; Apolipoprotein E (apoE) ; Cerebro spinal fluids ; Clinical application ; Individual levels ; Mild cognitive impairments (MCI) ; Morphological changes ; Systemic analysis ; Diagnosis
英文摘要: Hippocampal morphological change is one of the main hallmarks of Alzheimer's disease (AD). However, whether hippocampal radiomic features are robust as predictors of progression from mild cognitive impairment (MCI) to AD dementia and whether these features provide any neurobiological foundation remains unclear. The primary aim of this study was to verify whether hippocampal radiomic features can serve as robust magnetic resonance imaging (MRI) markers for AD. Multivariate classifier-based support vector machine (SVM) analysis provided individual-level predictions for distinguishing AD patients (n = 261) from normal controls (NCs; n = 231) with an accuracy of 88.21% and intersite cross-validation. Further analyses of a large, independent the Alzheimer's Disease Neuroimaging Initiative (ADNI) dataset (n = 1228) reinforced these findings. In MCI groups, a systemic analysis demonstrated that the identified features were significantly associated with clinical features (e.g., apolipoprotein E (APOE) genotype, polygenic risk scores, cerebrospinal fluid (CSF) Aβ, CSF Tau), and longitudinal changes in cognition ability; more importantly, the radiomic features had a consistently altered pattern with changes in the MMSE scores over 5 years of follow-up. These comprehensive results suggest that hippocampal radiomic features can serve as robust biomarkers for clinical application in AD/MCI, and further provide evidence for predicting whether an MCI subject would convert to AD based on the radiomics of the hippocampus. The results of this study are expected to have a substantial impact on the early diagnosis of AD/MCI. © 2020 Science China Press
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/170171
Appears in Collections:气候变化与战略

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作者单位: Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China; School of Information Science and Engineering, Shandong Normal University, Ji'nan 250358, China; Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China; Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, United States; Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06511, United States; Department of Radiology, Tianjin Huanhu Hospital, Tianjin, 300350, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China; Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, 100053, China; Department of Neurology, Qilu Hospital of Shandong University, Ji'nan 250012, China; Department of Neurology, Tianjin Huanhu Hospital, Tianjin University, Tianjin, 300350, China; Department of Neurology, The Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, 100853, China; Department of Radiology, Qilu Hospital of Shandong University, Ji'nan 250012, China; Department of Radiology, The Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, 100853, China; Department of Radiology, Tianjin Medical University General Hospital, Tianjin, 300052, China; Center of Alzheimer's Disease, Beijing Institute for Brain Disorders, Beijing, 100069, China; Beijing Institute of Geriatrics, Beijing, 100053, China; National Clinical Research Center for Geriatric Disorders, Beijing, 100053, China

Recommended Citation:
Zhao K.,Ding Y.,Han Y.,et al. Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis[J]. Science Bulletin,2020-01-01,65(13)
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