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联合放化疗治疗建模的方法学

Methodologies in the modeling of combined chemo-radiation treatments.

作者信息

Grassberger C, Paganetti H

机构信息

Department of Radiation Oncology, Massachusetts General Hospital & Harvard Medical School, Boston, MA 02114, USA.

出版信息

Phys Med Biol. 2016 Nov 7;61(21):R344-R367. doi: 10.1088/0031-9155/61/21/R344. Epub 2016 Oct 19.

Abstract

The variety of treatment options for cancer patients has increased significantly in recent years. Not only do we combine radiation with surgery and chemotherapy, new therapeutic approaches such as immunotherapy and targeted therapies are starting to play a bigger role. Physics has made significant contributions to radiation therapy treatment planning and delivery. In particular, treatment plan optimization using inverse planning techniques has improved dose conformity considerably. Furthermore, medical physics is often the driving force behind tumor control and normal tissue complication modeling. While treatment optimization and outcome modeling does focus mainly on the effects of radiation, treatment modalities such as chemotherapy are treated independently or are even neglected entirely. This review summarizes the published efforts to model combined modality treatments combining radiation and chemotherapy. These models will play an increasing role in optimizing cancer therapy not only from a radiation and drug dosage standpoint, but also in terms of spatial and temporal optimization of treatment schedules.

摘要

近年来,癌症患者的治疗选择种类显著增加。我们不仅将放疗与手术及化疗相结合,免疫疗法和靶向疗法等新的治疗方法也开始发挥更大作用。物理学在放射治疗的治疗计划制定和实施方面做出了重大贡献。特别是,使用逆向计划技术进行治疗计划优化已显著提高了剂量适形性。此外,医学物理往往是肿瘤控制和正常组织并发症建模的驱动力。虽然治疗优化和结果建模主要关注放疗的效果,但化疗等治疗方式却被单独对待,甚至被完全忽视。本综述总结了已发表的关于模拟放疗与化疗联合治疗模式的研究成果。这些模型不仅在放疗和药物剂量方面,而且在治疗方案的空间和时间优化方面,将在优化癌症治疗中发挥越来越重要的作用。

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