Automated Radiotherapy Treatment Planning

被引:67
|
作者
Moore, Kevin L. [1 ]
机构
[1] Univ Calif San Diego, Dept Radiat Med & Appl Sci, La Jolla, CA 92093 USA
基金
美国国家卫生研究院;
关键词
MODULATED ARC THERAPY; QUALITY-ASSURANCE; MULTICRITERIA OPTIMIZATION; AT-RISK;
D O I
10.1016/j.semradonc.2019.02.003
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The "treatment planning" component of managing a radiotherapy patient currently consumes hours, even days, of human effort. The time and workforce demands of the current planning paradigm can expose patients to delays and potentially substandard treatments, all while standing as seemingly insurmountable roadblocks to adaptive radiotherapy. Automating the treatment planning process is not a new idea, but recent advances have shown that automated planning might finally be turning the corner from niche research endeavor to a standard clinical practice. In this Seminar, we will examine the current state of automated radiotherapy planning, taking particular care to consider the most critical component of the planning problem: how to generate high-quality treatment solutions that account for patient-to-patient anatomical variation. Recommendations for testing and validating automated planning routines will be discussed, as well as potential drawbacks that might persist even after robust validation has been conducted. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:209 / 218
页数:10
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