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利用重叠体积直方图和调强放疗计划数据指导和自动化容积旋转调强放疗计划:头颈部病例研究。

Using overlap volume histogram and IMRT plan data to guide and automate VMAT planning: a head-and-neck case study.

机构信息

Department of Radiation Medicine, Georgetown University Hospital, Washington, DC 20007, USA.

出版信息

Med Phys. 2013 Feb;40(2):021714. doi: 10.1118/1.4788671.

Abstract

PURPOSE

To investigate whether an overlap volume histogram (OVH)-driven planning application using an intensity-modulated radiation therapy (IMRT) database can guide and automate volumetric-modulated arc therapy (VMAT) planning for head-and-neck cancer.

METHODS

Based on comparable head-and-neck dosimetric results between planner-generated VMAT and IMRT plans, an inhouse developed, OVH-driven automated planning application containing a database of prior clinical head-and-neck IMRT plans is built into Pinnacle(3) SmartArc for VMAT planning. Double-arc VMAT plans of four oropharynx, four nasopharynx, and four larynx patients are generated and compared with corresponding clinical IMRT plans.

RESULTS

Each VMAT plan is automatically generated in two optimization rounds, while the average number of optimization rounds in generating a clinical IMRT plan is 43. In VMAT plans, statistical superiority (p < 0.01) in sparing of the cord+4 mm, brainstem, brachial plexus, larynx, and inner ear is observed with a slight degradation in low-dose-level planning target volume (PTV) coverage. On average, D(0.1 cc) to the cord+4 mm, brainstem and brachial plexus is reduced by 3.7, 4.9, and 1.6 Gy, respectively; V(50 Gy) to the larynx is reduced by 5.3%; mean dose to the inner ear is reduced by 4.4 Gy; V(95) of low-dose-level PTV coverage is reduced by 0.3% with p = 0.25.

CONCLUSIONS

IMRT-data-driven VMAT planning offers a potential method for generating VMAT plans that are comparable to IMRT plans in terms of dosimetric quality.

摘要

目的

研究基于调强放疗(IMRT)数据库的重叠体积直方图(OVH)驱动的计划应用是否可用于指导和自动化头颈部肿瘤的容积旋转调强放疗(VMAT)计划。

方法

基于计划生成的 VMAT 和 IMRT 计划之间可比的头颈部剂量学结果,构建了一个内部开发的、基于 OVH 的自动化计划应用程序,其中包含一个先前的临床头颈部 IMRT 计划数据库,该程序已内置到 Pinnacle(3) SmartArc 中,用于 VMAT 计划。生成了 4 例口咽癌、4 例鼻咽癌和 4 例喉癌患者的双弧 VMAT 计划,并与相应的临床 IMRT 计划进行比较。

结果

每个 VMAT 计划在两个优化循环中自动生成,而生成临床 IMRT 计划的平均优化循环次数为 43 次。在 VMAT 计划中,观察到对脊髓+4mm、脑干、臂丛、喉和内耳的保护具有统计学优势(p<0.01),同时低剂量水平计划靶区(PTV)覆盖略有劣化。平均而言,脊髓+4mm、脑干和臂丛的 D(0.1cc)剂量降低了 3.7、4.9 和 1.6Gy;喉的 V(50Gy)剂量降低了 5.3%;内耳的平均剂量降低了 4.4Gy;低剂量水平 PTV 覆盖的 V(95)降低了 0.3%,p=0.25。

结论

IMRT 数据驱动的 VMAT 计划为生成与 IMRT 计划在剂量学质量方面可比的 VMAT 计划提供了一种潜在方法。

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