Mathematical modeling for glioblastoma treatment: scenario generation and validation for clinical patient counseling
This reaction-diffusion model simulates likely ranges of GBM progression under treatment with reasonable accuracy and modest computational needs and may yield a clinically practical tool to support patient counseling. Incorporating advanced imaging, such as perfusion MRI, may further improve accuracy. With further development, our approach could provide personalized scenarios of treatment outcomes that could aid in patient counseling.
Authors
- Richard Dortch (ORCID: https://orcid.org/0000-0002-9978-2203)
- Mark C. Preul (ORCID: https://orcid.org/0000-0002-3477-4931)
- Duane C. Harris
- Eric J. Kostelich (ORCID: https://orcid.org/0000-0001-7585-1318)
- Yuan Xu (ORCID: https://orcid.org/0000-0003-1959-9861)
- Oscar Alcantar-Garibay
- Yang Kuang (ORCID: https://orcid.org/0000-0003-2774-4133)
- Thomas J. On (ORCID: https://orcid.org/0009-0005-7449-4204)
- Gerardo Gomez-Castro (ORCID: https://orcid.org/0000-0001-7654-1979)
- Carlos E. Calderón-Valero
Institutions
- St. Joseph's Hospital and Medical Center (US)
- Lawrence Technological University (US)
- Arizona State University (US)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3389/fonc.2025.1647144
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 0.00