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


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-02-04

AUTHORS

Thierry Colin, François Cornelis, Julien Jouganous, Jean Palussière, Olivier Saut

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. More... »

PAGES

1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40244-014-0014-1

DOI

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

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1048633643


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