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

Thais Roque; Veerle Kersemans; Sean Smart; Danny Allen; Julia A. Schnabel; Michael Chappell

doi:10.1109/EMBC.2016.7592083

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

Thais Roque
, Veerle Kersemans
, Sean Smart
, Danny Allen
, Julia A. Schnabel
, Michael Chappell

University of Oxford
King's College London

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

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.

Original language	English
Title of host publication	2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5949-5952
Number of pages	4
ISBN (Electronic)	9781457702204
DOIs	https://doi.org/10.1109/EMBC.2016.7592083
State	Published - 13 Oct 2016
Externally published	Yes
Event	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 - Orlando, United States Duration: 16 Aug 2016 → 20 Aug 2016

Publication series

Name	Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
Volume	2016-October
ISSN (Print)	1557-170X

Conference

Conference	38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016
Country/Territory	United States
City	Orlando
Period	16/08/16 → 20/08/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Access to Document

10.1109/EMBC.2016.7592083

Cite this

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 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016 (pp. 5949-5952). Article 7592083 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/EMBC.2016.7592083

Roque, Thais ; Kersemans, Veerle ; Smart, Sean et al. / A DCE-MRI imaging-based model for simulation of vascular tumour growth. 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 5949-5952 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS).

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title = "A DCE-MRI imaging-based model for simulation of vascular tumour growth",

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.",

author = "Thais Roque and Veerle Kersemans and Sean Smart and Danny Allen and Schnabel, \{Julia A.\} and Michael Chappell",

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Roque, T, Kersemans, V, Smart, S, Allen, D, Schnabel, JA & Chappell, M 2016, A DCE-MRI imaging-based model for simulation of vascular tumour growth. in 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016., 7592083, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, vol. 2016-October, Institute of Electrical and Electronics Engineers Inc., pp. 5949-5952, 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016, Orlando, United States, 16/08/16. https://doi.org/10.1109/EMBC.2016.7592083

A DCE-MRI imaging-based model for simulation of vascular tumour growth. / Roque, Thais; Kersemans, Veerle; Smart, Sean et al.
2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 5949-5952 7592083 (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS; Vol. 2016-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Allen, Danny

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AB - 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.

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Roque T, Kersemans V, Smart S, Allen D, Schnabel JA, Chappell M. A DCE-MRI imaging-based model for simulation of vascular tumour growth. In 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 5949-5952. 7592083. (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS). doi: 10.1109/EMBC.2016.7592083

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

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UN SDGs

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