1. Patient specific simulation of tumor growth, response to the treatment and relapse of a lung metastasis: a clinical case
- Author
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Julien Jouganous, Jean Palussière, Thierry Colin, François Cornelis, Olivier Saut, Modélisation Mathématique pour l'Oncologie (MONC), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Institut Bergonié [Bordeaux], UNICANCER-UNICANCER-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS), Hôpital Pellegrin, CHU Bordeaux [Bordeaux]-Groupe hospitalier Pellegrin, Institut Bergonié [Bordeaux], UNICANCER, This study has been carried out within the frame of the LABEX TRAIL, ANR-10-LABX-0057 with financial support from the French State, managed by the French National Research Agency (ANR) in the frame of the 'Investments for the future' Programme IdEx (ANR-10-IDEX-03-02).Experiments presented in this paper were carried out using the PLAFRIM experimental testbed, being developed under the Inria PlaFRIM development action with support from LABRI and IMB and other entities: Conseil R ́egional d’Aquitaine, FeDER, Universit ́e de Bordeaux and CNRS (see https://plafrim.bordeaux.inria.fr/)., Inria Bordeaux, ANR-10-IDEX-0003,IDEX BORDEAUX,Initiative d'excellence de l'Université de Bordeaux(2010), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Institut Bergonié [Bordeaux], and Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)
- Subjects
Oncology ,medicine.medical_specialty ,Pathology ,Radiofrequency ablation ,Angiogenesis ,medicine.medical_treatment ,Lung metastasis ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,010103 numerical & computational mathematics ,01 natural sciences ,law.invention ,Lesion ,03 medical and health sciences ,Tumor growth modeling ,0302 clinical medicine ,law ,Internal medicine ,medicine ,[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP] ,Tumor growth ,0101 mathematics ,Clinical data assimilation ,Chemotherapy ,business.industry ,Partial Differential Equations ,Patient specific ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,030220 oncology & carcinogenesis ,Clinical case ,Medical imaging ,medicine.symptom ,business - 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 their 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.
- Published
- 2015