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A monolithic multiphase porous medium framework for (a-)vascular tumor growth.
Kremheller, Johannes; Vuong, Anh-Tu; Yoshihara, Lena; Wall, Wolfgang A; Schrefler, Bernhard A.
Afiliação
  • Kremheller J; Institute for Computational Mechanics, Technische Universität München, Boltzmannstrasse 15, D-85748 Garching b. München, Germany.
  • Vuong AT; Institute for Computational Mechanics, Technische Universität München, Boltzmannstrasse 15, D-85748 Garching b. München, Germany.
  • Yoshihara L; Institute for Computational Mechanics, Technische Universität München, Boltzmannstrasse 15, D-85748 Garching b. München, Germany.
  • Wall WA; Institute for Computational Mechanics, Technische Universität München, Boltzmannstrasse 15, D-85748 Garching b. München, Germany.
  • Schrefler BA; Institute for Advanced Study, Technische Universität München, Lichtenbergstrasse 2a, D-85748 Garching b. München, Germany.
Comput Methods Appl Mech Eng ; 340: 657-683, 2018 Oct 01.
Article em En | MEDLINE | ID: mdl-33132456
ABSTRACT
We present a dynamic vascular tumor model combining a multiphase porous medium framework for avascular tumor growth in a consistent Arbitrary Lagrangian Eulerian formulation and a novel approach to incorporate angiogenesis. The multiphase model is based on Thermodynamically Constrained Averaging Theory and comprises the extracellular matrix as a porous solid phase and three fluid phases (living and necrotic) tumor cells, host cells and the interstitial fluid. Angiogenesis is modeled by treating the neovasculature as a proper additional phase with volume fraction or blood vessel density. This allows us to define consistent inter-phase exchange terms between the neovasculature and the interstitial fluid. As a consequence, transcapillary leakage and lymphatic drainage can be modeled. By including these important processes we are able to reproduce the increased interstitial pressure in tumors which is a crucial factor in drug delivery and, thus, therapeutic outcome. Different coupling schemes to solve the resulting five-phase problem are realized and compared with respect to robustness and computational efficiency. We find that a fully monolithic approach is superior to both the standard partitioned and a hybrid monolithic-partitioned scheme for a wide range of parameters. The flexible implementation of the novel model makes further extensions (e.g., inclusion of additional phases and species) straightforward.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2018 Tipo de documento: Article