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Related Experiment Video

Updated: Mar 6, 2026

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Semiautomated Workflow for Clinically Streamlined Glioma Parametric Response Mapping.

Lauren Keith1, Brian D Ross2, Craig J Galbán2

  • 1Imbio, LLC, Minneapolis, Minnesota.

Tomography (Ann Arbor, Mich.)
|March 14, 2017
PubMed
Summary

Parametric response mapping (PRM) offers an early biomarker for glioblastoma treatment response. A new software workflow enables automated PRM analysis, advancing its clinical use for brain tumor management.

Keywords:
diffusiongliomaparametric response mapping

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Area of Science:

  • Neuro-oncology
  • Medical Imaging
  • Radiology

Background:

  • Glioblastoma multiforme management is challenging, with limited quantitative imaging for treatment response assessment.
  • Current clinical criteria rely on volumetric changes at 10 weeks, missing advanced quantitative imaging like diffusion MRI.
  • Parametric response mapping (PRM) shows promise as an early, sensitive biomarker for cytotoxic therapy in brain tumors.

Purpose of the Study:

  • To develop a standardized, automated software workflow for PRM analysis of glioblastoma diffusion-weighted MRI.
  • To facilitate the integration of PRM into routine clinical practice for improved patient management.

Main Methods:

  • A semiautomated workflow was developed for image coregistration, segmentation, and PRM classification.
  • The software supports local hardware integration or cloud-based remote processing.
  • Connectivity to existing picture archive and communication systems is provided.

Main Results:

  • The developed workflow enables seamless PRM classification of glioblastoma diffusion-weighted MRI scans.
  • The software provides a standardized approach for generating clinical reports.
  • This represents a significant step towards routine clinical implementation of PRM.

Conclusions:

  • The presented software workflow is crucial for the clinical adoption of PRM in glioblastoma management.
  • Automated PRM analysis offers an earlier and potentially more sensitive assessment of treatment response compared to traditional methods.
  • This advancement facilitates the use of advanced quantitative imaging in routine patient care for solid tumors.