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CyberArc:一种用于射波刀的非共面弧形优化算法。

CyberArc: a non-coplanar-arc optimization algorithm for CyberKnife.

作者信息

Kearney Vasant, Cheung Joey P, McGuinness Christopher, Solberg Timothy D

机构信息

Department of Radiation Oncology, University of California, San Francisco, CA, United States of America.

出版信息

Phys Med Biol. 2017 Jun 26;62(14):5777-5789. doi: 10.1088/1361-6560/aa6f92.

Abstract

The goal of this study is to demonstrate the feasibility of a novel non-coplanar-arc optimization algorithm (CyberArc). This method aims to reduce the delivery time of conventional CyberKnife treatments by allowing for continuous beam delivery. CyberArc uses a 4 step optimization strategy, in which nodes, beams, and collimator sizes are determined, source trajectories are calculated, intermediate radiation models are generated, and final monitor units are calculated, for the continuous radiation source model. The dosimetric results as well as the time reduction factors for CyberArc are presented for 7 prostate and 2 brain cases. The dosimetric quality of the CyberArc plans are evaluated using conformity index, heterogeneity index, local confined normalized-mutual-information, and various clinically relevant dosimetric parameters. The results indicate that the CyberArc algorithm dramatically reduces the treatment time of CyberKnife plans while simultaneously preserving the dosimetric quality of the original plans.

摘要

本研究的目的是证明一种新型非共面弧形优化算法(CyberArc)的可行性。该方法旨在通过实现连续束流输送来减少传统射波刀治疗的输送时间。CyberArc采用四步优化策略,针对连续辐射源模型确定节点、射束和准直器尺寸,计算源轨迹,生成中间辐射模型,并计算最终监测单位。给出了7例前列腺癌和2例脑癌病例的CyberArc剂量学结果以及时间减少因子。使用适形指数、异质性指数、局部受限归一化互信息和各种临床相关剂量学参数评估CyberArc计划的剂量学质量。结果表明,CyberArc算法在显著减少射波刀计划治疗时间的同时,还能保持原计划的剂量学质量。

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