Tumor Volume Dynamics as an Early Biomarker for Patient-Specific Evolution of Resistance and Progression in Recurrent High-Grade Glioma

Tumor Volume Dynamics as an Early Biomarker for Patient-Specific Evolution of Resistance and Progression in Recurrent High-Grade Glioma

Recurrent high-grade glioma (HGG) remains incurable with inevitable evolution of resistance and high inter-patient heterogeneity in time to progression (TTP). Here, we evaluate if early tumor volume response dynamics can calibrate a mathematical model to predict patient-specific resistance to develo...

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Bibliographic Details
Main Authors: Daniel J. Glazar, G. Daniel Grass, John A. Arrington, Peter A. Forsyth, Natarajan Raghunand, Hsiang-Hsuan Michael Yu, Solmaz Sahebjam, Heiko Enderling
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Journal of Clinical Medicine
Subjects:
mathematical model
response prediction
high-grade glioma
patient-specific
Online Access:https://www.mdpi.com/2077-0383/9/7/2019

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