UCL logo

UCL Discovery

UCL home » Library Services » Electronic resources » UCL Discovery

An event-based disease progression model and its application to familial Alzheimer's disease.

Fonteijn, HM; Clarkson, MJ; Modat, M; Barnes, J; Lehmann, M; Ourselin, S; Fox, NC; (2011) An event-based disease progression model and its application to familial Alzheimer's disease. In: Inf Process Med Imaging. (pp. 748 - 759).

Full text not available from this repository.

Abstract

This study introduces a novel event-based model for disease progression. The model describes disease progression as a series of events. An event can consist of a significant change in symptoms or in tissue. We construct a forward model that relates heterogeneous measurements from a whole cohort of patients and controls to the event sequence and fit the model with a Bayesian estimation framework. The model does not rely on a priori classification of patients and therefore has the potential to describe disease progression in much greater detail than previous approaches. We demonstrate our model on serial T1 MRI data from a familial Alzheimer's disease cohort. We show progression of neuronal atrophy on a much finer level than previous studies, while confirming progression patterns from pathological studies, and integrate clinical events into the model.

Type: Proceedings paper
Title: An event-based disease progression model and its application to familial Alzheimer's disease.
Location: Germany
Keywords: Algorithms, Alzheimer Disease, Brain, Computer Simulation, Disease Progression, Humans, Image Enhancement, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Models, Biological, Reproducibility of Results, Sensitivity and Specificity, Subtraction Technique
UCL classification: UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Neurodegenerative Diseases
UCL > School of BEAMS > Faculty of Engineering Science > Computer Science
UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering
URI: http://discovery.ucl.ac.uk/id/eprint/1321496
Downloads since deposit
0Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item