Suppr超能文献

调强适形放疗(VMAT)的复合最小最大稳健优化可改善头颈部癌症患者的靶区覆盖并降低非靶区剂量。

Composite minimax robust optimization of VMAT improves target coverage and reduces non-target dose in head and neck cancer patients.

机构信息

Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, the Netherlands.

Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, the Netherlands.

出版信息

Radiother Oncol. 2019 Jul;136:71-77. doi: 10.1016/j.radonc.2019.03.019. Epub 2019 Apr 11.

Abstract

BACKGROUND AND PURPOSE

To assess the potential of composite minimax robust optimization (CMRO) compared to planning target volume (PTV)-based optimization for head and neck cancer (HNC) patients treated with volumetric modulated arc therapy (VMAT).

MATERIALS AND METHODS

Ten HNC patients previously treated with a PTV-based VMAT plan were studied. In addition to the PTV-plan a VMAT plan was created with CMRO. For both plans an adapted planning strategy was also investigated, including a plan adaptation during the third week of treatment. The PTV-plans and CMRO-plans (adapted and non-adapted) were evaluated by means of the estimated actually given dose (EAGD). Therefore, the dose was calculated on daily acquired CBCTs, mapped onto the planning CT and accumulated. The plans were compared by dosimetric parameters and normal tissue complication probabilities (NTCPs) for tube feeding dependence, grade 2-4 dysphagia and xerostomia. The accuracy of CBCT-based dose accumulation was further quantified by comparisons of dose accumulation on weekly verification CTs.

RESULTS

On average, CMRO significantly increased (1.5 Gy) the D of the EAGD to the clinical target volume and significantly decreased the mean dose of the ipsilateral parotid (2.8 Gy), inferior pharynx constrictor muscle (0.7 Gy) and the oral cavity (0.8 Gy). This translated into significantly reduced NTCP of tube feeding dependence (0.9%) and xerostomia (2.8%). The differences in EAGD derived from evaluation CTs or CBCTs were minimal.

CONCLUSION

Minimax robust optimization led to improved target coverage and dose reduction in organs at risk in HNC patients treated with VMAT.

摘要

背景与目的

评估复合最小最大化稳健优化(CMRO)与基于计划靶区(PTV)的优化相比,在接受容积调强弧形治疗(VMAT)的头颈部癌症(HNC)患者中的潜在应用。

材料与方法

研究了 10 名先前接受基于 PTV 的 VMAT 计划治疗的 HNC 患者。除了 PTV 计划外,还为每位患者创建了一个 CMRO 的 VMAT 计划。对于这两种计划,还研究了一种适应性计划策略,包括在治疗的第三周进行计划调整。通过估计实际给予剂量(EAGD)评估 PTV 计划和 CMRO 计划(适应性和非适应性)。为此,在每天获取的 CBCT 上计算剂量,映射到计划 CT 并累积。通过比较管饲依赖、2-4 级吞咽困难和口干的剂量学参数和正常组织并发症概率(NTCP)来比较计划。进一步通过每周验证 CT 上的剂量累积比较来量化基于 CBCT 的剂量累积的准确性。

结果

平均而言,CMRO 显著增加(1.5Gy)EAGD 至临床靶区的 D,并显著降低同侧腮腺(2.8Gy)、下咽缩肌(0.7Gy)和口腔(0.8Gy)的平均剂量。这导致管饲依赖(0.9%)和口干(2.8%)的 NTCP 显著降低。从评估 CT 或 CBCT 得出的 EAGD 差异最小。

结论

在接受 VMAT 治疗的 HNC 患者中,最小最大化稳健优化导致靶区覆盖改善和危及器官剂量降低。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验