中华放射医学与防护杂志

王雪桃,肖江洪,赵建玲,王强,宋莹,柏森.基于RayStation计划系统的宫颈癌容积旋转调强自动计划设计[J].中华放射医学与防护杂志,2018,38(10):751-755

基于RayStation计划系统的宫颈癌容积旋转调强自动计划设计

Evaluation of fully automated volumetric modulated arc therapy planning of cervical cancer in RayStation treatment planning system

投稿时间：2018-04-12

DOI：10.3760/cma.j.issn.0254-5098.2018.10.006

中文关键词: 自动计划 DVH预测 RayStation计划系统 IronPython语言

英文关键词:Automatic planning DVH estimation RayStation TPS IronPython language

基金项目:

作者	单位	E-mail
王雪桃	610064 成都, 四川大学华西医院放射物理技术中心
肖江洪	610064 成都, 四川大学华西医院放射物理技术中心
赵建玲	610064 成都, 四川大学华西医院放射物理技术中心
王强	610064 成都, 四川大学华西医院放射物理技术中心
宋莹	610064 成都, 四川大学华西医院放射物理技术中心
柏森	610064 成都, 四川大学华西医院放射物理技术中心	Baisen@scu.edu.cn

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中文摘要:

目的研究在RayStation 4.7计划系统平台上实现基于预测模型和自动优化算法的宫颈癌容积旋转调强（VMAT）全自动计划设计。方法选取40例宫颈癌VMAT专家计划进行分析，使用主成分回归分析方法建立危及器官的体积剂量直方图（DVH）预测模型，运用IronPython编程语言在RayStation 4.7计划系统平台上实现基于预测模型的宫颈癌VMAT计划的自动创建和自动优化，并通过与手动计划的比较来评估自动计划的质量和效率。另外选取10例专家计划用于验证模型的准确性和自动计划的可行性。结果 10例宫颈癌VMAT计划测试结果显示预测模型能够很好地预测直肠、膀胱和小肠的剂量体积参数；自动计划与专家计划相当，而与原始手动计划相比，靶区的均匀性和适形性差异无统计学意义（P> 0.05），膀胱平均V₄₀和V₅₀下降4.3%和1.6%，（t=2.75、5.26，P< 0.05），直肠平均V₃₀、V₄₀和V₅₀下降6.8%、5.8%和2.1%（t=2.26、3.55、5.19，P<0.05），左右股骨头平均剂量分别下降380和322 cGy（t=5.55、7.25，P< 0.05），小肠平均剂量差异无统计学意义（P> 0.05）。自动计划和手动计划平均用时分别为36和53 min。结论 RayStation计划系统平台上基于IronPython语言并结合预测模型的自动计划程序能够快速高效地完成高质量的宫颈癌VMAT计划。

英文摘要:

Objective To evaluate the feasibility of an in-room automated volumetric arc therapy (VMAT) planning engine based on dose volume histogram (DVH) prediction model in RayStation treatment planning system. Methods A total of 40 VMAT plans of cervix cancer, planned by experts, were chosen to build DVH estimation model by principal component regression analytic method. An in-room automated VMAT planning program based on IroPython scripting language combined with DVH prediction model was performed in RayStation treatment planning system. The DVH estimation model was applied to Another 10 testing cases of cervical cancer and the feasibility was evaluated by comparing the automatic plans with manual plans. Results The predicted DVH of organs at risk showed a good fit with real DVH in the ten testing cases. There were no statistically significant differences between manual and automatic plans in PTV conformal index (CI) and homogeneity index (HI) (P> 0.05). V₄₀ and V₅₀ of bladder were significantly decreased by 4.3% and 1.6% in automatic plans (t=2.75,5.26,P< 0.05). V₃₀, V₄₀ and V₅₀ of rectum were also decreased by 6.8%, 5.8% and 2.1%(t=2.26,3.55,5.19,P< 0.05). Both left and right femoral heads were better spared in automatic plans with average doses decreased by 380 and 322 cGy(t=5.55,7.25,P< 0.05). The time of creating a treatment plan was 36 min for automatic plan and 53 min for manual plan. Conclusions The fully automated VMAT treatment plan program can create a VMAT plan of cervix cancer with high efficiency and good quality.

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