Investigating the Limits of Predictability of Magnetic Resonance Imaging-Based Mathematical Models of Tumor Growth
Our systematic evaluation demonstrates that reaction-diffusion models can maintain acceptable longitudinal prediction accuracy-especially for tumor predictions-despite limitations in the quality and quantity of experimental data.
Authors
- Megan F. LaMonica
- Thomas E. Yankeelov (ORCID: https://orcid.org/0000-0001-6201-3913)
- David A. Hormuth (ORCID: https://orcid.org/0000-0002-9643-1694)
Institutions
- Livestrong Foundation (US)
- The University of Texas MD Anderson Cancer Center (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Cancers
- Published
- 2025-10-18
- DOI
- https://doi.org/10.3390/cancers17203361
- Citations
- 1
- Primary Topic
- Mathematical Biology Tumor Growth
- Type
- article
- Field-Weighted Citation Impact
- 1.37