Visualising spatial heterogeneity in glioblastoma using imaging habitats

Area of Science:

• Neuro-oncology
• Medical Imaging
• Cancer Biology

Background:

• Glioblastoma is an aggressive brain tumor with significant spatial heterogeneity.
• Personalized therapy requires non-invasive methods to visualize tumor heterogeneity and monitor regional treatment response.
• Current imaging and radiomic approaches often analyze the tumor globally, missing regional variations.

Approach:

• Habitat imaging identifies distinct tumor regions ('habitats') based on shared imaging characteristics using multiple biomarkers.
• This novel approach assesses spatially preserved physiological processes like perfusion and cellularity.
• It enables a regional evaluation of treatment response, moving beyond whole-tumor analysis.

Key Points:

• Habitat imaging provides a spatially resolved view of glioblastoma heterogeneity.
• It integrates multiple imaging biomarkers to define functionally distinct tumor regions.
• This method facilitates the regional assessment of treatment efficacy.

Conclusions:

• Habitat imaging represents a promising tool for personalized glioblastoma therapy.
• It allows for a more nuanced understanding of tumor response to treatment.
• Future research should focus on refining methodologies and exploring clinical applications.