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Article Dans Une Revue Journal of Computational Surgery Année : 2015

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

Résumé

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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Dates et versions

hal-01102586 , version 1 (13-01-2015)

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Domaine public

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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, 2015, pp.18. ⟨10.1186/s40244-014-0014-1⟩. ⟨hal-01102586⟩
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