Novel radiotherapeutic strategies in the management of brain metastases: Challenging the dogma

Joshua D. Palmer, Haley K. Perlow, Eric J. Lehrer, Zabi Wardak, Hany Soliman

Research output: Contribution to journalReview articlepeer-review

Abstract

The role of radiation therapy in the management of brain metastasis is evolving. Advancements in machine learning techniques have improved our ability to both detect brain metastasis and our ability to contour substructures of the brain as critical organs at risk. Advanced imaging with PET tracers and magnetic resonance imaging-based artificial intelligence models can now predict tumor control and differentiate tumor progression from radiation necrosis. These advancements will help to optimize dose and fractionation for each patient’s lesion based on tumor size, histology, systemic therapy, medical comorbidities/patient genetics, and tumor molecular features. This review will discuss the current state of brain directed radiation for brain metastasis. We will also discuss future directions to improve the precision of stereotactic radiosurgery and optimize whole brain radiation techniques to improve local tumor control and prevent cognitive decline without forming necrosis.

Original languageEnglish (US)
Pages (from-to)S46-S55
JournalNeuro-oncology
Volume26
DOIs
StatePublished - Mar 1 2024

Keywords

  • artificial intelligence
  • brain metastases
  • cognitive preservation
  • stereotactic radiosurgery

ASJC Scopus subject areas

  • Oncology
  • Clinical Neurology
  • Cancer Research

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