Department of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA.
Department of Radiation Oncology, Mayo Clinic, Rochester, Minnesota, USA.
Neuro Oncol. 2024 Mar 4;26(12 Suppl 2):S46-S55. doi: 10.1093/neuonc/noad260.
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.
放射治疗在脑转移瘤的治疗中扮演着重要的角色,其作用也在不断发展。机器学习技术的进步提高了我们发现脑转移瘤和勾画脑部亚结构(作为关键危及器官)的能力。正电子发射断层扫描(PET)示踪剂的先进成像和基于磁共振成像的人工智能模型现在可以预测肿瘤控制,并区分肿瘤进展和放射性坏死。这些进步将有助于根据肿瘤大小、组织学、全身治疗、合并症/患者遗传因素以及肿瘤分子特征,为每位患者的病变优化剂量和分割。本文将讨论脑转移瘤的脑定向放射治疗的现状。我们还将讨论未来的方向,以提高立体定向放射外科的精确性,优化全脑放疗技术,在不形成坏死的情况下提高局部肿瘤控制率,预防认知能力下降。