Predicting Amyloid Pathology in Mild Cognitive Impairment Using Radiomics Analysis of Magnetic Resonance Imaging

Background: Noninvasive identification of amyloid-β (Aβ) is important for better clinical management of mild cognitive impairment (MCI) patients. Objective: To investigate whether radiomics features in the hippocampus in MCI improve the prediction of cerebrospinal fluid (CSF) Aβ42 status when integr...

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Bibliographic Details
Published in:Journal of Alzheimer's disease 2021-01, Vol.79 (2), p.483-491
Main Authors: Park, Yae Won, Choi, Dongmin, Park, Mina, Ahn, Sung Jun, Ahn, Sung Soo, Suh, Sang Hyun, Lee, Seung-Koo
Format: Article
Language:English
Subjects:
Alzheimer's disease
Amyloid
Artificial intelligence
Cerebrospinal fluid
Cognitive ability
Feature extraction
Hippocampus
Impairment
Magnetic resonance imaging
Medical imaging
Neurodegenerative diseases
Neuroimaging
Prediction models
Radiomics
Resonance
Test sets
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Summary:Background: Noninvasive identification of amyloid-β (Aβ) is important for better clinical management of mild cognitive impairment (MCI) patients. Objective: To investigate whether radiomics features in the hippocampus in MCI improve the prediction of cerebrospinal fluid (CSF) Aβ42 status when integrated with clinical profiles. Methods: A total of 407 MCI subjects from the Alzheimer’s Disease Neuroimaging Initiative were allocated to training (n = 324) and test (n = 83) sets. Radiomics features (n = 214) from the bilateral hippocampus were extracted from magnetic resonance imaging (MRI). A cut-off of
ISSN:1387-2877
1875-8908
DOI:10.3233/JAD-200734