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hal.structure.identifierCentre de Recherches en Oncologie biologique et Oncopharmacologie [CRO2]
dc.contributor.authorBARBOLOSI, Dominique
hal.structure.identifierLaboratoire d'Analyse, Topologie, Probabilités [LATP]
dc.contributor.authorBENABDALLAH, Assia
hal.structure.identifierModélisation, contrôle et calcul [MC2]
dc.contributor.authorBENZEKRY, Sébastien
hal.structure.identifierCentre de Recherches en Oncologie biologique et Oncopharmacologie [CRO2]
dc.contributor.authorCICCOLINI, Joseph
hal.structure.identifierÉcologie, Évolution, Symbiose [Équipe du laboratoire EBI Poitiers] [EES]
dc.contributor.authorFAIVRE, Christian
hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorHUBERT, Florence
hal.structure.identifierLaboratoire d'Analyse, Topologie, Probabilités [LATP]
dc.contributor.authorVERGA, Federico
hal.structure.identifierCiblage thérapeutique en Oncologie [EA3738]
dc.contributor.authorYOU, Benoit
dc.date.issued2014
dc.description.abstractEnThe dual classification of cancer as localized or metastatic disease is one of the key point in the elaboration of the best therapy for each patient. Neverthe-less, many studies reveal that part of these localized diseases are already metastatic. The presence of undetectable or micro-metastases explains the necessity of adjuvant chemotherapies after resection of the primary tumor even for some T1N0M0 cancer. There is probably a continuum between these two stages. We expose here how a mathematical model of growing metastases could reflect this continuum of the disease and how such a model could help the oncologists in the choice of the treatment. This phenomenological model is based on a structured transport equations with non local boundary condition describing the evolution of the density of metastasis. Thanks to this model, we forge a new numerical index, that we call Metastatic Index, able to reveal either the micro-metastatic state of the patient, or the visible metastatic one. Numerical illustrations show how this new index can be used.
dc.language.isoen
dc.publisherSpringer
dc.source.titleComputational Surgery and Dual Training
dc.title.enA Mathematical Model for Growing Metastases on Oncologists’s Service
dc.typeChapitre d'ouvrage
dc.identifier.doi10.1007/978-1-4614-8648-0_21
dc.subject.halSciences du Vivant [q-bio]/Cancer
bordeaux.page331 - 338
bordeaux.title.proceedingComputational Surgery and Dual Training
hal.identifierhal-01087708
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01087708v1
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