COLIN, Thierry; CORNELIS, François; JOUGANOUS, Julien; PALUSSIÈRE, Jean; SAUT, Olivier

doi:10.1186/s40244-014-0014-1

Metadatos

Licencia de uso del documento

COLIN, Thierry
Modélisation Mathématique pour l'Oncologie [MONC]
Institut de Mathématiques de Bordeaux [IMB]

CORNELIS, François
Modélisation Mathématique pour l'Oncologie [MONC]
Institut de Mathématiques de Bordeaux [IMB]
Hôpital Pellegrin

JOUGANOUS, Julien
Modélisation Mathématique pour l'Oncologie [MONC]
Institut de Mathématiques de Bordeaux [IMB]

Idioma

Article de revue

Este ítem está publicado en

Journal of Computational Surgery. 2015p. 18

Springer Verlag

Resumen en inglés

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.< Leer menos

Palabras clave en inglés

Clinical data assimilation

Partial Differential Equations

Medical imaging

Tumor growth modeling

URI

https://oskar-bordeaux.fr/handle/20.500.12278/194526

DOI

http://dx.doi.org/10.1186/s40244-014-0014-1

Proyecto ANR

Initiative d'excellence de l'Université de Bordeaux - ANR-10-IDEX-0003

Orígen

Importado de Hal

Centros de investigación

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251