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State of Radiomics in Glioblastoma.

Birra Taha1, Daniel Boley2, Ju Sun2

  • 1Department of Neurosurgery, University of Minnesota, Minneapolis, Minnesota, USA.

Neurosurgery
|April 29, 2021
PubMed
Summary

Radiomics offers noninvasive insights into glioblastoma, predicting IDH mutation and MGMT methylation status from medical images. This approach enhances clinical diagnosis and outcome prediction for brain tumors.

Keywords:
GlioblastomaImagingNeuro-oncologyRadiogenomicsRadiomics

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Area of Science:

  • Radiology and Medical Imaging
  • Oncology
  • Computational Biology

Background:

  • Radiomics extracts quantitative imaging features for medical insights.
  • Glioblastoma research benefits from noninvasive radiomic tools for pathogenesis and treatment response understanding.
  • Radiomics provides biological insights into imaging features like contrast enhancement and tumor location.

Purpose of the Study:

  • To review advances in glioblastoma radiomics.
  • To focus on predicting IDH mutation and MGMT promoter methylation status.
  • To discuss novel, higher-order radiomic parameters.

Main Methods:

  • Quantitative feature extraction from medical images.
  • Analysis of imaging features such as contrast enhancement, distance from subventricular zone, and mass effect.
  • Correlation of radiomic features with genetic and epigenetic events (IDH, MGMT).

Main Results:

  • Radiomics enables noninvasive detection of key mutations (IDH) and epigenetic events (MGMT) in glioblastoma.
  • Established radiomic features provide biological understanding of glioblastoma.
  • Foundation laid for predicting clinical outcomes based on imaging data.

Conclusions:

  • Glioblastoma radiomics is advancing noninvasive prediction of IDH and MGMT status.
  • Novel radiomic parameters are being developed for enhanced diagnostic and prognostic capabilities.
  • Radiomics holds significant potential for improving glioblastoma diagnosis and treatment strategies.