Integrating longitudinal information in hippocampal volume measurements for the early detection of Alzheimer's disease
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- 作者：Andrea Chincarinia ; andrea.chincarini@ge.infn.it" class="auth_mail" title="E-mail the corresponding author ; Francesco Sensia ; Luca Reia ; b ; Gianluca Gemmea ; Sandro Squarciaa ; b ; Renata Longog ; e ; Francesco Brunf ; e ; Sabina Tangarod ; Roberto Bellottic ; d ; Nicola Amorosoc ; d ; Martina Bocchettah ; i ; Alberto Redolfih ; Paolo Boscoh ; Marina Boccardih ; Giovanni B. Frisonik ; h ; Flavio Nobilij ; for the Alzheimer's Disease Neuroimaging Initiative1
- 关键词：AD ; Alzheimer's Disease ; ADNI ; Alzheimer's disease Neuroimaging Initiative ; AUC ; Area Under Curve ; CTRL ; Control Subjects ; MCI (-nc/-co) ; Mild Cognitive Impairment (non-progressing to AD/progressing to AD) ; MNI ; Montreal Neurological Institute ; MRI ; Magnetic Resonance Imaging ; ROC ; Receiver Operating Characteristic ; SVM ; Support Vector Machine ; VOI ; Volume Of Interest
- 刊名：NeuroImage
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：125
- 期：Complete
- 页码：834-847
- 全文大小：1464 K
文摘
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A large-scale hippocampus segmentation effort was applied to 1.5 T ADNI images
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Four approaches of increasing complexity were used to implement a longitudinal measure of volume
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We tested the longitudinal information potential as a early-AD marker with respect to baseline assessment.
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Clinically relevant knowledge can be extracted provided longitudinal information is embedded in the measurement.