Imaging biomarkers of brain tumour margin and tumour invasion

S J Price1, J H Gillard

  • 1Academic Neurosurgery Division, Department of Clinical Neuroscience, Addenbrooke's Hospital, Cambridge, UK. sjp58@cam.ac.uk

Insights

Glioma invasion into the brain hinders treatment success. Advanced imaging techniques offer new biomarkers to detect subtle tumor changes, improving treatment planning and patient stratification.

Area of Science:

  • Neuro-oncology
  • Medical Imaging
  • Biomarkers

Background:

  • Glioma cell invasion into normal brain tissue is a primary cause of treatment failure.
  • Conventional imaging methods cannot accurately detect the full extent of glioma invasion.
  • Tumor invasion varies significantly between individuals, yet treatments are often standardized.

Purpose of the Study:

  • To explore novel imaging techniques as biomarkers for detecting and quantifying glioma invasion.
  • To improve the delineation of tumor margins for better treatment planning.
  • To stratify patients based on tumor invasiveness for personalized therapy selection.

Main Methods:

  • Utilizing advanced imaging modalities such as diffusion tensor imaging (DTI) to assess white matter organization.
  • Employing MR spectroscopy (MRS) and positron emission tomography (PET) to probe tumor metabolism and cellular proliferation.
  • Investigating the potential of these techniques to identify regions of tumor infiltration not visible with conventional imaging.

Main Results:

  • Advanced imaging methods can detect subtle pathological changes indicative of tumor invasion.
  • These techniques offer the potential to visualize regions of infiltration beyond conventional imaging capabilities.
  • Individualized assessment of tumor invasiveness may be achievable through these novel biomarkers.

Conclusions:

  • Newer imaging techniques show promise as biomarkers for glioma invasion.
  • Improved tumor margin delineation through advanced imaging can enhance surgical and radiotherapeutic planning.
  • Biomarkers of invasion can guide personalized treatment selection and patient stratification for clinical trials.

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