Forecasting Chemoradiation Response Midtreatment for High-Grade Gliomas Through Patient-Specific Biology-Based Modeling.

ABSTRACT:

Purpose

The entire course of radiation therapy (RT) for high-grade glioma (HGG) is currently derived from pre-RT magnetic resonance imaging (MRI). Although it is possible to adapt RT during the course of treatment, it is often guided only by anatomical changes to the tumor. This study seeks to determine if a biology-based mathematical model, parameterized by patient-specific, multiparametric MRI (mpMRI) data, can accurately forecast HGG response during RT.

Methods and materials

Twenty one patients with HGG planned for 6 weeks of concurrent RT and chemotherapy were imaged weekly with mpMRI during RT and at 1, 2, and 3 months post-RT. Each patient's MRI data from baseline to midtreatment were used to personalize a family of biology-based mathematical models, from which the mos

SUBMITTER: Hormuth DA 

PROVIDER: S-EPMC12815495 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature