Title :
A model of tumor growth coupling a cellular biomodel with biomechanical simulations
Author :
Rikhtegar, Farhad ; Kolokotroni, Eleni ; Stamatakos, Georgios ; Buchler, Philippe
Author_Institution :
Inst. for Surg. Technol. & Biomech., Univ. of Bern, Bern, Switzerland
Abstract :
The aim of this paper is to present the development of a multi-scale and multiphysics approach to tumor growth. An existing biomodel used for clinical tumor growth and response to treatment has been coupled with a biomechanical model. The macroscopic mechanical model is used to provide directions of least pressure in the tissue, which drives the geometrical evolution of the tumor predicted at the cellular level. The combined model has been applied to the case of brain and lung tumors. Results indicated that the coupled approach provides additional morphological information on the realistic tumor shape when the tumor is located in regions of tissue inhomogeneity. The approach might be used in oncosimulators for tumor types where the morphometry information plays a major role in the treatment and surgical planning.
Keywords :
biomechanics; brain; cancer; cellular biophysics; finite element analysis; lung; tumours; biomechanical simulations; brain tumor biomechanical model; cellular biomodel; clinical tumor growth; coupled multiscale-multiphysics approach; geometrical tumor evolution; least tissue pressure; lung tumor biomechanical model; macroscopic mechanical model; morphometry information; multiphysics tumor growth approach; multiscale tumor growth approach; oncosimulators; realistic tumor shape; surgical planning; tissue inhomogeneity; treatment planning; tumor morphological information; tumor prediction; tumor treatment response; tumor types; Biological system modeling; Biomechanics; Europe; Finite element analysis; Planning; Surgery; Tumors;
Conference_Titel :
In Silico Oncology and Cancer Investigation (IARWISOCI), 2014 6th International Advanced Research Workshop on
DOI :
10.1109/IARWISOCI.2014.7034638
