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Radiomic Profiling of Orthotopic Mouse Models of Glioblastoma Reveals Histopathological Correlations Associated with Tumour Response to Ionising Radiation

  • 0John Fulcher Neuro-Oncology Laboratory, Department of Brain Sciences, Faculty of Medicine, Imperial College London, London W12 0NN, UK.
Cancers +

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April 26, 2025

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April 26, 2025

View abstract on PubMed

Summary

This summary is machine-generated.

Radiomics analysis of glioblastoma (GB) in mouse models reveals imaging features that correlate with radiation response. This non-invasive approach may aid in evaluating new therapies and serve as a virtual biopsy for GB patients.

Area Of Science

  • Neuro-oncology
  • Medical Imaging
  • Radiomics

Background

  • Glioblastoma (GB) is an aggressive brain tumor with limited treatment options and poor prognosis.
  • MRI is crucial for GB diagnosis, treatment planning, and response assessment.
  • MRI radiomics offers advanced tumor characterization beyond visual analysis, aiding in understanding treatment responses.

Purpose Of The Study

  • To model and analyze radiation treatment responses in orthotopic glioblastoma mouse models using diffusion and perfusion radiomics.
  • To identify radiomic features reflecting changes in tumor cellularity, microvascularity, and blood flow post-radiation.
  • To compare radiomic findings with histopathological analysis.

Main Methods

  • Utilized diffusion and perfusion radiomics to model radiation responses in four orthotopic glioblastoma mouse models.
  • Identified optimal radiomic features correlating with radiation-induced changes.
  • Performed direct comparison with endpoint histopathological analysis.

Main Results

  • Selected radiomic features quantify tumor response to radiation therapy, revealing intra-tumoral spatial heterogeneity.
  • Similarities in radiomic features were observed between murine models and human glioblastoma non-enhancing areas.
  • Discrepancies in cellularity and vascularization were noted between mouse models and human patients.

Conclusions

  • Radiomic profiling of glioblastoma shows potential for evaluating targeted therapies.
  • This approach may accelerate the development of novel glioblastoma treatments.
  • Radiomics can serve as a non-invasive virtual biopsy tool for glioblastoma.

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