干旱区生态环境知识资源中心(Arid): Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease

Arid

DOI	10.3389/fdata.2021.661110
	Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease
	Archetti, Damiano; Young, Alexandra L.; Oxtoby, Neil P.; Ferreira, Daniel; Martensson, Gustav; Westman, Eric; Alexander, Daniel C.; Frisoni, Giovanni B.; Redolfi, Alberto
通讯作者	Archetti, D (corresponding author), IRCCS Ist Ctr San Giovanni Dio Fatebenefratell, Lab Neuroinformat, Brescia, Italy.
来源期刊	FRONTIERS IN BIG DATA
EISSN	2624-909X
出版年	2021
卷号	4
英文摘要	Alzheimer's disease (AD) is a neurodegenerative disorder which spans several years from preclinical manifestations to dementia. In recent years, interest in the application of machine learning (ML) algorithms to personalized medicine has grown considerably, and a major challenge that such models face is the transferability from the research settings to clinical practice. The objective of this work was to demonstrate the transferability of the Subtype and Stage Inference (SuStaIn) model from well-characterized research data set, employed as training set, to independent less-structured and heterogeneous test sets representative of the clinical setting. The training set was composed of MRI data of 1043 subjects from the Alzheimer's disease Neuroimaging Initiative (ADNI), and the test set was composed of data from 767 subjects from OASIS, Pharma-Cog, and ViTA clinical datasets. Both sets included subjects covering the entire spectrum of AD, and for both sets volumes of relevant brain regions were derived from T1-3D MRI scans processed with Freesurfer v5.3 cross-sectional stream. In order to assess the predictive value of the model, subpopulations of subjects with stable mild cognitive impairment (MCI) and MCIs that progressed to AD dementia (pMCI) were identified in both sets. SuStaIn identified three disease subtypes, of which the most prevalent corresponded to the typical atrophy pattern of AD. The other SuStaIn subtypes exhibited similarities with the previously defined hippocampal sparing and limbic predominant atrophy patterns of AD. Subject subtyping proved to be consistent in time for all cohorts and the staging provided by the model was correlated with cognitive performance. Classification of subjects on the basis of a combination of SuStaIn subtype and stage, mini mental state examination and amyloid-beta(1-42) cerebrospinal fluid concentration was proven to predict conversion from MCI to AD dementia on par with other novel statistical algorithms, with ROC curves that were not statistically different for the training and test sets and with area under curve respectively equal to 0.77 and 0.76. This study proves the transferability of a SuStaIn model for AD from research data to less-structured clinical cohorts, and indicates transferability to the clinical setting.
英文关键词	alzheiemer's disease patient subtyping patient staging SuStain model inter-cohort validation
类型	Article
语种	英语
开放获取类型	DOAJ Gold, Green Published
收录类别	ESCI
WOS记录号	WOS:000659108800001
WOS关键词	MENTAL-STATE-EXAMINATION ; INTRAOBSERVER REPRODUCIBILITY ; NEURODEGENERATIVE DISEASES ; HYPOTHETICAL MODEL ; BIOMARKER CHANGES ; CEREBRAL ATROPHY ; DEFINED SUBTYPES ; STRUCTURAL MRI ; DEMENTIA ; HETEROGENEITY
WOS类目	Computer Science, Information Systems ; Computer Science, Interdisciplinary Applications ; Multidisciplinary Sciences
WOS研究方向	Computer Science ; Science & Technology - Other Topics
来源机构	University of London
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352814
作者单位	[Archetti, Damiano; Redolfi, Alberto] IRCCS Ist Ctr San Giovanni Dio Fatebenefratell, Lab Neuroinformat, Brescia, Italy; [Young, Alexandra L.] Kings Coll London, Inst Psychiat, Dept Neuroimaging Psychol & Neurosci, London, England; [Young, Alexandra L.; Oxtoby, Neil P.; Alexander, Daniel C.] UCL Ctr Med Image Comp, Dept Comp Sci, London, England; [Ferreira, Daniel; Martensson, Gustav; Westman, Eric] Karolinska Inst, Div Clin Geriatr, Dept Neurobiol Care Sci & Soc, Ctr Alzheimer Res, Stockholm, Sweden; [Ferreira, Daniel] Mayo Clin, Dept Radiol, Rochester, MN USA; [Frisoni, Giovanni B.] Univ Hosp, Memory Clin, Geneva, Switzerland; [Frisoni, Giovanni B.] Univ Hosp, LANVIE Lab Neuroimaging Aging, Geneva, Switzerland; [Frisoni, Giovanni B.] Univ Geneva, Geneva, Switzerland; [Frisoni, Giovanni B.] IRCCS Ist Ctr San Giovanni Dio Fatebenefratell, Lab Alzheimers Neuroimaging & Epidemiol LANE, Brescia, Italy
推荐引用方式 GB/T 7714	Archetti, Damiano,Young, Alexandra L.,Oxtoby, Neil P.,et al. Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease[J]. University of London,2021,4.
APA	Archetti, Damiano.,Young, Alexandra L..,Oxtoby, Neil P..,Ferreira, Daniel.,Martensson, Gustav.,...&Redolfi, Alberto.(2021).Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease.FRONTIERS IN BIG DATA,4.
MLA	Archetti, Damiano,et al."Inter-Cohort Validation of SuStaIn Model for Alzheimer's Disease".FRONTIERS IN BIG DATA 4(2021).