A DCE-MRI imaging-based model for simulation of vascular tumour growth

Roque T, Kersemans V, Smart S, Allen D, Schnabel JA, Chappell M (2016)

Publication Type: Conference contribution

Publication year: 2016

Journal

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2016-October

Pages Range: 5949-5952

Conference Proceedings Title: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Event location: Orlando, FL, USA

ISBN: 9781457702204

DOI: 10.1109/EMBC.2016.7592083

Abstract

Imaging-based modelling of tumour growth can serve as a powerful tool to understand and predict tumour evolution and its response to therapy. The purpose of this study was to introduce, calibrate and evaluate a multi-scale model of vascular tumour growth. The model allows for proliferation, death and spatial spread of tumour cells as well as for new vessel creation. Both the calibration and the evaluation of the tumour growth model were performed using pre-clinical longitudinal time series of dynamic contrast-enhanced magnetic resonance imaging of colon carcinoma. Tumour specific model parameters, extracted from the images at two subsequent time points, were included into the model to predict the spatio-temporal evolution of the tumour at a third point in time. Simulation results for three pre-clinical cases demonstrated the model's ability to simulate the cellular as well as the 2D evolution of the tumour.

Involved external institutions

University of Oxford GB United Kingdom (GB) King’s College London GB United Kingdom (GB)

How to cite

APA:

Roque, T., Kersemans, V., Smart, S., Allen, D., Schnabel, J.A., & Chappell, M. (2016). A DCE-MRI imaging-based model for simulation of vascular tumour growth. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp. 5949-5952). Orlando, FL, USA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Roque, Thais, et al. "A DCE-MRI imaging-based model for simulation of vascular tumour growth." Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, FL, USA Institute of Electrical and Electronics Engineers Inc., 2016. 5949-5952.

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