Novel radiotherapeutic strategies in the management of brain metastases: Challenging the dogma.
Joshua David PalmerHaley K PerlowEric J LehrerZabi WardakHany SolimanPublished in: Neuro-oncology (2024)
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.
Keyphrases
- resting state
- artificial intelligence
- machine learning
- white matter
- cognitive decline
- magnetic resonance imaging
- radiation therapy
- functional connectivity
- small cell lung cancer
- computed tomography
- healthcare
- brain metastases
- deep learning
- high resolution
- multiple sclerosis
- mild cognitive impairment
- stem cells
- poor prognosis
- mass spectrometry
- long non coding rna
- single molecule
- replacement therapy