Share Email Print

Proceedings Paper

Prediction of MCI to AD risk of conversion survival models: qMRI vs CSF measures and cognitive assessments
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Several studies have found that different quantitative MRI (qMRI) measurements are associated with the presence of Alzheimer's disease. Cognitive Assessment scores, Apolipoprotein E4 (ApoE4) and cerebrospinal fluid (CSF) biomarkers are important factors associated with the risk of conversion from MCI to AD. Despite this awareness, the relationship of the qMRI measurements with the conversion rate and their effect in multivariate survival models that combine Radiomics, CSF, ApoE4 and Cognitive assessment is not known. The objective of this work was to evaluate the importance of each data source using several machine learning(ML) approaches that build Cox Survival models that combine cognitive assessments, CSF, ApoE4 and qMRI features. 321 features from 442 subjects from the ADNI study that converted from the MCI status to AD were used. ML methods were explored in a Cross-validation framework. Test results indicated that cognitive assessments plus qMRI data produce Cox survival models that are 92% concordant with the conversion time from MCI to AD, while CSF biomarkers did not have a mayor contribution on the final survival Model.

Paper Details

Date Published: 16 March 2020
PDF: 20 pages
Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 113142R (16 March 2020); doi: 10.1117/12.2549301
Show Author Affiliations
Jorge Orozco-Sanchez, Tecnológico de Monterrey (Mexico)
Jose Tamez-Peña, Tecnológico de Monterrey (Mexico)

Published in SPIE Proceedings Vol. 11314:
Medical Imaging 2020: Computer-Aided Diagnosis
Horst K. Hahn; Maciej A. Mazurowski, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?