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Computational and Mathematical Methods in Medicine
Volume 2016 (2016), Article ID 7851789, 12 pages
Research Article

Towards the Design of a Patient-Specific Virtual Tumour

1Clinatec, INSERM UA01, 38054 Grenoble, France
2Université Grenoble Alpes, CNRS, TIMC-IMAG/DyCTIM2, 38041 Grenoble, France
3Université Grenoble Alpes, EA 7442 RSRM, ID17-ESRF, 38000 Grenoble, France

Received 8 September 2016; Accepted 21 November 2016

Academic Editor: Francesco Pappalardo

Copyright © 2016 Flavien Caraguel et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The design of a patient-specific virtual tumour is an important step towards Personalized Medicine. However this requires to capture the description of many key events of tumour development, including angiogenesis, matrix remodelling, hypoxia, and cell state heterogeneity that will all influence the tumour growth kinetics and degree of tumour invasiveness. To that end, an integrated hybrid and multiscale approach has been developed based on data acquired on a preclinical mouse model as a proof of concept. Fluorescence imaging is exploited to build case-specific virtual tumours. Numerical simulations show that the virtual tumour matches the characteristics and spatiotemporal evolution of its real counterpart. We achieved this by combining image analysis and physiological modelling to accurately described the evolution of different tumour cases over a month. The development of such models is essential since a dedicated virtual tumour would be the perfect tool to identify the optimum therapeutic strategies that would make Personalized Medicine truly reachable and achievable.