Quantifying longitudinal changes in tumor habitats during radiotherapy via multiparametric MRI in a murine glioma model: Preliminary results
Motivation: Spatial and temporal changes in the tumor microenvironment significantly impact treatment efficacy. An MRI protocol designed to monitor tumor heterogeneity throughout radiotherapy could be a valuable tool for enhancing treatment insights and outcomes. Goal(s): We aim to implement a quantitative MRI protocol to identify and quantify tumor heterogeneity over the course of radiation therapy in a preclinical model. Approach: We implemented a multi-parametric, quantitative MRI protocol during radiation therapy in preclinical glioma models. Four experimental schedules and one control schedule were tested. Results: Our MRI protocol effectively captured significant differences in tumor composition in response to variations in the radiotherapy schedule. Impact: Spatial and temporal changes in the tumor microenvironment impact treatment efficacy. Our multi parametric, quantitative MRI protocol effectively captured shifts in tumor composition during radiotherapy, offering valuable insights to improve outcomes.
Authors
- Thomas E. Yankeelov (ORCID: https://orcid.org/0000-0001-6201-3913)
- Ayesha Das (ORCID: https://orcid.org/0000-0001-5782-8894)
- David A. Hormuth (ORCID: https://orcid.org/0000-0002-9643-1694)
- Jack Virostko
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/1937
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00