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International Journal for Multiscale Computational Engineering
IF: 1.016 5-Year IF: 1.194 SJR: 0.554 SNIP: 0.68 CiteScore™: 1.18

ISSN Print: 1543-1649
ISSN Online: 1940-4352

International Journal for Multiscale Computational Engineering

DOI: 10.1615/IntJMultCompEng.v9.i2.70
pages 231-241


Sven Hirsch
Department of Electrical Engineering, ETH, CH-8092 Zürich, Switzerland
Dominik Szczerba
Computer Vision Laboratory, ETH; IT'IS Foundation, Switzerland
Bryn Lloyd
Department of Electrical Engineering, ETH, CH-8092 Zürich, Switzerland
Michael Bajka
Division of Gynecology, University Hospital of Zürich, Switzerland
Niels Kuster
IT'IS Foundation, CH-8004 Zürich, Switzerland
Gabor Szekely
Department of Electrical Engineering, ETH, CH-8092 Zürich, Switzerland


Experimental investigations of tumors often result in data reflecting very complex underlying mechanisms. Computer models of such phenomena enable their analysis and may lead to novel and more efficient therapy strategies. We present a generalized finite-element mechano-chemical model of a solid tumor and assess its suitability for predicting therapy outcome. The model includes hosting tissue, tumor cells (vital and necrotic), nutrient (oxygen), blood vessels, and a growth inhibitor. At a certain time instant of the tumor development virtual therapies are performed and their outcomes are presented. The model parameters are obtained either directly from the available literature or estimated using multi-scale modeling. First results indicate the usefulness of multi-physics tumor models for predicting therapy response. In the proposed model a regression of a manifest tumor after therapy may be observed.


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