选择用于精确和准确癌症治疗的外照射放疗方法。
Selection of external beam radiotherapy approaches for precise and accurate cancer treatment.
作者信息
Shirato Hiroki, Le Quynh-Thu, Kobashi Keiji, Prayongrat Anussara, Takao Seishin, Shimizu Shinichi, Giaccia Amato, Xing Lei, Umegaki Kikuo
机构信息
Department of Radiation Medicine, Faculty of Medicine, Hokkaido University, North-15 West-7, Kita-ku, 0608638, Sapporo, Hokkaido, Japan.
Global Station for Quantum Medical Science and Engineering, Global Institute for Cooperative Research and Education, Hokkaido University, North-15 West-7, Kita-ku, 0608638, Sapporo, Hokkaido, Japan.
出版信息
J Radiat Res. 2018 Mar 1;59(suppl_1):i2-i10. doi: 10.1093/jrr/rrx092.
Physically precise external-beam radiotherapy (EBRT) technologies may not translate to the best outcome in individual patients. On the other hand, clinical considerations alone are often insufficient to guide the selection of a specific EBRT approach in patients. We examine the ways in which to compare different EBRT approaches based on physical, biological and clinical considerations, and how they can be enhanced with the addition of biophysical models and machine-learning strategies. The process of selecting an EBRT modality is expected to improve in tandem with knowledge-based treatment planning.
物理精确的外照射放疗（EBRT）技术可能无法在个体患者中带来最佳治疗效果。另一方面，仅靠临床因素往往不足以指导为患者选择特定的EBRT方法。我们探讨了基于物理、生物学和临床因素比较不同EBRT方法的方式，以及如何通过添加生物物理模型和机器学习策略来增强这些方法。选择EBRT模式的过程有望随着基于知识的治疗计划而同步改进。
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