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Independent and reproducible hippocampal radiomic biomarkers for multisite Alzheimer's disease: diagnosis, longitudinal progress and biological basis

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收录情况: ◇ SCIE ◇ CSCD-C ◇ EI ◇ 卓越:领军期刊

机构: [a]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [b]School of Biological Science and Medical Engineering, Beihang University, Beijing, China [c]School of Information Science and Engineering, Shandong Normal University, Ji’nan, China [d]Department of Neurology, Xuanwu Hospital of Capital Medical University, Beijing, China [e]Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA [f]Department of Psychiatry, Yale University School of Medicine, New Haven, CT, USA [g]Department of Radiology, Tianjin Huanhu Hospital, Tianjin, China [h]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China [i]Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China [j]Department of Radiology, Xuanwu Hospital of Capital Medical University, Beijing, China [k]Department of Neurology, Qilu Hospital of Shandong University, Ji’nan, China [l]Department of Neurology, Tianjin Huanhu Hospital, Tianjin, China [m]Department of Neurology, The Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China [n]Department of Radiology, Qilu Hospital of Shandong University, Ji’nan, China [o]Department of Radiology, The Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China [p]Department of Radiology, Tianjin Medical University General Hospital, Tianjin, China [q]Center of Alzheimer’s Disease, Beijing Institute for Brain Disorders, Beijing, China [r]Beijing Institute of Geriatrics, Beijing, China [s]National Clinical Research Center for Geriatric Disorders, Beijing, China
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关键词: Biological basis Brain biomarker Hippocampal radiomic features Independent cross-validation Multisite Alzheimer's disease MRI

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 MRI markers for AD. Multivariate classifier-based 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 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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出版当年[2019]版:
大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
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大类 | 1 区 综合性期刊
小类 | 1 区 综合性期刊
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出版当年[2018]版:
Q1 MULTIDISCIPLINARY SCIENCES
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Q1 MULTIDISCIPLINARY SCIENCES

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第一作者机构: [a]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [b]School of Biological Science and Medical Engineering, Beihang University, Beijing, China [c]School of Information Science and Engineering, Shandong Normal University, Ji’nan, China
通讯作者:
通讯机构: [a]Brainnetome Center & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China [*1]Department of Neurology, The Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing 100853, China [*2]Brainnetome Center, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China [h]School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China [i]Center for Excellence in Brain Science and Intelligence Technology, Institute of Automation, Chinese Academy of Sciences, Beijing, China [m]Department of Neurology, The Secondary Medical Center, National Clinical Research Center for Geriatric Disease, Chinese PLA General Hospital, Beijing, China
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