Predicting patterns of failure in temporal lobe GBMs: possible implications on radiotherapy treatment portals

Dasantha Jayamanne1,2, Helen Wheeler3,4,5, David Brazier6

  • 1Northern Sydney Cancer Centre, Royal North Shore Hospital, Sydney, NSW, Australia. Dasantha.Jayamanne@health.nsw.gov.au.

Abstract

Insights

Temporal Lobe Glioblastoma (TL GBM) often recurs locally or regionally, frequently involving neural pathways. Understanding these patterns can improve radiotherapy targeting for better patient outcomes.

Area of Science:

  • Neuro-oncology
  • Radiation Oncology
  • Radiology

Background:

  • Glioblastoma (GBM) in the Temporal Lobe (TL) presents unique treatment challenges.
  • Understanding recurrence patterns is crucial for optimizing radiotherapy.
  • Normal temporal lobe anatomy and neural pathways influence GBM failure sites.

Purpose of the Study:

  • To characterize the failure patterns of Temporal Lobe Glioblastoma (TL GBM).
  • To correlate recurrence sites with normal temporal lobe anatomy and neural pathways.
  • To inform radiotherapy target definition based on failure patterns.

Main Methods:

  • Retrospective analysis of 100 TL GBM patients treated with radiotherapy.
  • Categorization of initial tumor sites, recurrence sites (local, regional, distant), and neural pathway involvement.
  • Correlation of initial tumor location with recurrence patterns using statistical analysis.

Main Results:

  • 86% of patients experienced radiological progression with a median survival of 17.3 months.
  • Most initial tumors (94%) were confined to the TL, but 19% showed neural pathway involvement.
  • 74% of recurrences were locoregional, 26% distant, and 53% involved neural pathways. Initial location predicted local, regional, and neural pathway recurrence.

Conclusions:

  • Temporal Lobe Glioblastoma frequently recurs at local or adjacent regional sites.
  • Recurrence patterns are often predictable and site-specific, with significant neural pathway involvement.
  • Insights into tumor infiltration and failure patterns can enhance radiotherapy planning and precision.

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