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Patient specific simulation of tumor growth, response to the treatment and relapse of a lung metastasis: a clinical case

Thierry Colin 1, 2, * François Cornelis 1, 2, 3 Julien Jouganous 1, 2 Jean Palussière 4 Olivier Saut 1, 2
* Corresponding author
1 MONC - Modélisation Mathématique pour l'Oncologie
IMB - Institut de Mathématiques de Bordeaux, Institut Bergonié [Bordeaux], Inria Bordeaux - Sud-Ouest
Abstract : In this paper, a parametrization strategy based on reduced order methods is presented for tumor growth PDE models. This is applied to a new simple spatial model for lung metastasis including angiogenesis. The goal is to help clinicians monitoring tumors and eventually predicting its evolution or response to a particular kind of treatment. To illustrate the whole approach, a clinical case including the natural history of the lesion, the response to a chemotherapy and the relapse before a radiofrequency ablation is presented.
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https://hal.inria.fr/hal-01102586
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Submitted on : Tuesday, January 13, 2015 - 10:59:18 AM
Last modification on : Monday, December 14, 2020 - 3:34:01 PM
Long-term archiving on: : Tuesday, April 14, 2015 - 10:35:16 AM

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Thierry Colin, François Cornelis, Julien Jouganous, Jean Palussière, Olivier Saut. Patient specific simulation of tumor growth, response to the treatment and relapse of a lung metastasis: a clinical case. Journal of Computational Surgery, Springer Verlag, 2015, pp.18. ⟨10.1186/s40244-014-0014-1⟩. ⟨hal-01102586⟩

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