HyperArc 在放射治疗中的性能及其与多发性脑转移瘤数量和体积的相关性

Q1 Health Professions
Hongtao Chen, Zihuang Li, Guixiang Liao, Lijun Wang, Xiaonian Deng, Heli Zhong
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引用次数: 0

摘要

目的评估HyperArc在多发脑转移瘤放疗中与共面调强弧形放疗(c-VMAT)相比在剂量参数方面的性能和优势,并描述肿瘤特征与剂量参数之间的隐性相关性。方法这项回顾性研究涉及2019年1月至2022年12月在深圳市人民医院放射肿瘤科接受同步放疗的40例多发脑转移瘤(4-16个肿瘤,12.8-240.8 cm3)患者。HyperArc和c-VMAT计划均由同一位合格的物理学家使用Eclipse系统和Truebeam设计。每个计划都使用单个等中心和 6 MV 无扁平化滤波(6FFF)光子束对多发脑转移瘤进行放疗。对 HyperArc 和 c-VMAT 计划中肿瘤和危险器官(OAR)的剂量参数进行了比较。揭示并分析了肿瘤特征(数量和体积)与剂量参数之间的相关性。结果与 c-VMAT 计划相比,HyperArc 计划获得了更高的最大剂量(Dmax)(5.23%,t = 7.87,P <0.01),但最小剂量(Dmin)(3.94%,t = -2.12,P = 0.04)和平均剂量(Dmean)(1.05%,t = -3.29,P <0.01)较低。与 c-VMAT 相比,HyperArc 的符合性指数(CI)、均匀性指数(HI)、梯度指数(GI)和 PGTV 的 R50% 分别提高了 20.78%、1.68%、19.83% 和 36.20%(P <0.01)。与 c-VMAT 方案相比,HyperArc 方案中 OAR 的剂量学参数有明显改善。具体来说,脑干的最大剂量和平均剂量分别降低了 16.14% 和 11.37%。眼球_L 的最大值降低了 16.88%,眼球_R 的最大值降低了 11.67%,视神经_L 的最大值降低了 12.56%,脊柱的最大值降低了 18.12%。两种计划类型的 CI/HI/GI/R50% 差异与 PGTV 数量之间几乎没有相关性。而回归分析表明,CI/GI/R50% 的差异分别与 PGTV 的数量呈负相关。此外,尽管与 c-VMAT 相比,HyperArc 计划减少了 4.74 % 的 MUs,但未观察到显著差异(P > 0.05)。结论这项研究表明,HyperArc 在多发脑转移瘤的放疗中具有良好的表现,包括对肿瘤的剂量一致性更好、剂量下降更快、肿瘤区域外的剂量溢出更少、有效减少相近肿瘤之间的剂量桥,以及不损伤 OAR。该研究还揭示了肿瘤数量或体积与剂量参数之间的相关性,有助于优化 HyperArc 的使用并预测临床疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HyperArc performance in radiotherapy and its correlations with number and volume of multiple brain metastases

Objective

To assess the performance and advantages of HyperArc for radiotherapy of multiple brain metastases with dosimetric parameters with respect to coplanar volumetric modulated arc radiotherapy (c-VMAT), and characterize implicit correlations between tumor features and dosimetric parameters.

Methods

This retrospective study involved 40 patients with multiple brain metastases (4–16 tumors, 12.8–240.8 cm3) who received simultaneous radiotherapy at the Department of Radiation Oncology, Shenzhen People's Hospital from January 2019 to December 2022. Both HyperArc and c-VMAT plans were designed by the same and qualified physicist using the Eclipse system with Truebeam. A single isocenter and a 6 ​MV flattening filter-free (6FFF) photon beam were used for radiotherapy of multiple brain metastases in each plan. Dosimetric parameters of tumors and organs at risk (OARs) were compared between HyperArc and c-VMAT plans. Correlations between tumor features (number and volume) and dosimetric parameters were revealed and analyzed. Furthermore, monitor units (MUs) of both plan types were recorded to assess rays utilization and delivery efficiency.

Results

Compared to c-VMAT plans, HyperArc plans achieved higher maximum dose (Dmax) (5.23%, t ​= ​7.87, P ​< ​0.01), but lower minimum dose (Dmin) (3.94%, t ​= ​−2.12, P ​= ​0.04) and mean dose (Dmean) (1.05%, t ​= ​−3.29, P < ​0.01) for planning gross tumor volumes (PGTVs). The conformity index (CI), homogeneity index (HI), gradient index (GI) and R50% of PGTVs with HyperArc were better than those with c-VMAT, with the improvements of 20.78%, 1.68%, 19.83% and 36.20%, respectively (P ​< ​0.01). The dosimetric parameters of OARs were significantly improved in HyperArc plans compared to c-VMAT plans. Specifically, the Dmax and the Dmean to the brainstem decreased by 16.14% and 11.37%, respectively. The Dmax for eye_L decreased by 16.88%, for eye_R decreased by 11.67%, for optical nerve_L decreased by 12.56 ​%, and for chiasm decreased by 18.12%. Few correlations were observed between the differences of CI/HI/GI/R50% and the number of PGTVs between the two plan types. Whereas, regression analysis indicated that the differences of CI/ GI/ R50% were negatively correlated with the volume of PGTVs, respectively. Moreover, although HyperArc plans reduced the MUs by 4.74 ​% compared to c-VMAT, no significant difference was observed (P ​> ​0.05).

Conclusions

This study demonstrates the promising performance of HyperArc for radiotherapy of multiple brain metastases, including better dose conformity for the tumors, more rapid dose drop and less dose spillage outside the tumors area, effective reduction of dose bridges among close tumors, and sparing OARs. It also reveals the correlations between the number or volume of tumors and dose parameters, which can help optimize the use of HyperArc and predict clinical benefits.

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来源期刊
Radiation Medicine and Protection
Radiation Medicine and Protection Health Professions-Emergency Medical Services
CiteScore
2.10
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审稿时长
103 days
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