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Radiomics and Radiogenomics in Differentiating Progression, Pseudoprogression, and Radiation Necrosis in Gliomas.

Sohil Reddy1, Tyler Lung1, Shashank Muniyappa1

  • 1College of Medicine, The Ohio State University, Columbus, OH 43210, USA.

Biomedicines
|July 29, 2025
PubMed
Summary

Radiomics and radiogenomics offer advanced tools for glioma management. These techniques analyze medical images and genomic data to improve diagnosis, predict treatment response, and personalize patient care in neuro-oncology.

Keywords:
glioblastomagliomapseudoprogressionradiation necrosisradiogenomicsradiomicstumor progressiontumor recurrence

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Area of Science:

  • Neuro-oncology
  • Medical Imaging
  • Genomics

Background:

  • Conventional MRI and CT scans struggle to differentiate tumor progression from treatment effects like pseudoprogression and radiation necrosis in gliomas.
  • Accurate diagnosis is crucial for effective glioma treatment and patient management.

Purpose of the Study:

  • To review the role of radiomics and radiogenomics in improving glioma diagnosis and patient stratification.
  • To highlight the potential of these emerging fields in predicting treatment outcomes and guiding precision neuro-oncology.

Main Methods:

  • Radiomics: Extraction of quantitative imaging features (RFs) from medical scans.
  • Radiogenomics: Correlation of imaging features with genomic data.
  • Literature review of studies applying radiomics and radiogenomics in glioma research.

Main Results:

  • Radiomic features aid in patient stratification and prognosis prediction.
  • Radiogenomics shows promise in non-invasively predicting key biomarkers like MGMT promoter methylation and 1p/19q codeletion.
  • Radiomics can assist in predicting tumor recurrence (rBT), crucial for treatment adjustments.

Conclusions:

  • Radiomics and radiogenomics represent a significant advancement towards precision neuro-oncology for glioma patients.
  • Further standardization and clinical integration of these methods are necessary for widespread adoption.
  • These techniques have the potential to revolutionize glioma management by enabling more accurate and personalized treatment strategies.