Parametric Response Map (PRM) Analysis Improves Response Assessment in Gliomas

Michael Cardenas, Craig J. Galban, Thomas L. Chenevert, Michelle Miller-Thomas, Brian D. Ross, Christina Tsien

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Current strategies for treatment and management of gliomas incorporate molecular markers to individualize patient care. Physiologic imaging identifies treatment-associated alterations in tissue properties including cellular viability, vascular function, and molecular response. Imaging biomarkers provide a noninvasive approach for early treatment response assessment and are an important tool to individualize patient management. Gliomas are heterogeneous tumors. Parametric response mapping (PRM) is a novel voxel-wise imaging analysis method which directly addresses the issue of tumor heterogeneity. PRM image analysis improves the predictive accuracy of imaging biomarkers in clinical applications including treatment response assessment. A multi-parametric imaging biomarker derived from MR perfusion and diffusion-weighted imaging (DWI) using a PRM analysis method provides early identification of high-grade glioma chemoradiation resistance. Further validation of PRM-derived imaging biomarkers is required prior to routine clinical application as an early treatment response marker.

Original languageEnglish
Title of host publicationGlioma Imaging
Subtitle of host publicationPhysiologic, Metabolic, and Molecular Approaches
PublisherSpringer International Publishing
Pages109-126
Number of pages18
ISBN (Electronic)9783030273590
ISBN (Print)9783030273583
DOIs
StatePublished - Jan 1 2019

Keywords

  • Diffusion
  • Glioma
  • Magnetic resonance imaging (MRI)
  • Parametric response map (PRM)
  • Perfusion
  • Quantitative response metric

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