What is it about?

We investigated decision tree-based models to classify groups in the aging cognitive decline spectrum by combining radiomic features extracted from single imaging modalities (MRI, PET FDG and PET AMY) and combinations of medical imaging modalities (MRI+PET FDG+PET AMY, PET FDG+PET AMY).

Featured Image

Why is it important?

The classification of cognitively non-impaired individuals from early stages of cognitive decline, mild cognitive decline, and Alzheimer’s clinical syndrome using radiomic features extracted from MRI, PET FDG, and PET amyloid can be used both in clinical trial recruiting and understanding the aging mechanisms.

Perspectives

The radiomic feature selection implemented with the Shapley additive explanations and the recursive feature elimination with cross-validation improved the classification models’ accuracy.

Ana Maria Marques da Silva
Medical Imaging & Data Analytics - MEDIIMA

Read the Original

This page is a summary of: Discriminating Aging Cognitive Decline Spectrum Using PET and Magnetic Resonance Image Features, Journal of Alzheimer s Disease, September 2022, IOS Press, DOI: 10.3233/jad-215164.
You can read the full text:

Read

Contributors

The following have contributed to this page