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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: Székely, G and Hahn, HK, (eds.) Information Processing in Medical Imaging: 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings. (pp. 748 - 759). Springer Berlin Heidelberg: Berlin, Germany.

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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
Event: 22nd International Conference (IPMI 2011)
Location: Germany
ISBN-13: 9783642220913
DOI: 10.1007/978-3-642-22092-0_61
Publisher version: http://dx.doi.org/10.1007/978-3-642-22092-0_61
Language: English
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
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology
UCL > School of Life and Medical Sciences > Faculty of Brain Sciences > Institute of Neurology > Neurodegenerative Diseases
UCL > School of BEAMS
UCL > School of BEAMS > Faculty of Engineering Science
URI: http://discovery.ucl.ac.uk/id/eprint/1321496
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