A diffusion-driven phase-field model for simulation of glioma growth
Modelling glioma remains a critical area of research due to its poor prognosis. Phase-field modelling is an effective computational approach to simulate the dynamics of biological systems, including tumor growth like glioma. Here, the growth of a tumor is studied in the proximity of a blood artery that nourishes the tumor. The mathematical model reflects a diffusion-driven growth using a phase-field approach coupled with mechanical deformation. The numerical implementation of the mathematical model is realized in an FEM framework. Several numerical examples are provided to show the applicability of the model especially in clinical practices.
Authors
- Majid Esmaeilzadeh (ORCID: https://orcid.org/0000-0002-9541-6927)
- Meisam Soleimani (ORCID: https://orcid.org/0000-0002-5923-0607)
- Matthias Simon (ORCID: https://orcid.org/0000-0001-7508-3072)
- Philipp Junker (ORCID: https://orcid.org/0000-0002-8572-6841)
- Harold F. Hounchonou (ORCID: https://orcid.org/0000-0001-7976-7113)
- Joachim K. Krauss (ORCID: https://orcid.org/0000-0002-0675-9064)
Institutions
- Leibniz University Hannover (DE)
- Bielefeld University (DE)
- Medizinische Hochschule Hannover (DE)
- Bethel University (US)
Publication Details
- Journal
- Computer Methods in Biomechanics & Biomedical Engineering
- Published
- 2025-08-09
- DOI
- https://doi.org/10.1080/10255842.2025.2544792
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft