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使用下颌偏移最小化左侧乳房容积调强弧形治疗(VMAT)的正常组织低剂量沐浴。

Minimizing normal tissue low dose bath for left breast Volumetric Modulated Arc Therapy (VMAT) using jaw offset.

机构信息

Department of Radiation Oncology, University of Pittsburgh School of Medicine and UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.

出版信息

J Appl Clin Med Phys. 2024 Aug;25(8):e14365. doi: 10.1002/acm2.14365. Epub 2024 May 17.

DOI:10.1002/acm2.14365
PMID:38760907
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11302810/
Abstract

PURPOSE

With proper beam setup and optimization constraints in the treatment planning system, volumetric modulated arc therapy (VMAT) can improve target dose coverage and conformity while reducing doses to adjacent structures for whole breast radiation therapy. However, the low-dose bath effect on critical structures, especially the heart and the ipsilateral lung, remains a concern. In this study, we present a VMAT technique with the jaw offset VMAT (JO-VMAT) to reduce the leakage and scatter doses to critical structures for whole breast radiation therapy.

MATERIALS AND METHODS

The data of 10 left breast cancer patients were retrospectively used for this study. CT images were acquired on a CT scanner (GE, Discovery) with the deep-inspiration breath hold (DIBH) technique. The planning target volumes (PTVs) and the normal structures (the lungs, the heart, and the contralateral breast) were contoured on the DIBH scan. A 3D field-in-field plan (3D-FiF), a tangential VMAT (tVMAT) plan, and a JO-VMAT plan were created with the Eclipse treatment planning system. An arc treatment field with the x-jaw closed across the central axis creates a donut-shaped high-dose distribution and a cylinder-shaped low-dose volume along the central axis of gantry rotation. Applying this setup with proper multi-leaf collimator (MLC) modulation, the optimized plan potentially can provide sufficient target coverage and reduce unnecessary irradiation to critical structures. The JO-VMAT plans involve 5-6 tangential arcs (3 clockwise arcs and 2-3 counterclockwise arcs) with jaw offsets. The plans were optimized with objective functions specified to achieve PTV dose coverage and homogeneity; For organs at risk (OARs), objective functions were specified individually for each patient to accomplish the best achievable treatment plan. For tVMAT plans, optimization constraints were kept the same except that the jaw offset was removed from the initial beam setup. The dose volume histogram (DVH) parameters were generated for dosimetric evaluation of PTV and OARs.

RESULTS

The D to the PTV was greater than the prescription dose of 42.56 Gy for all the plans. With both VMAT techniques, the PTV conformity index (CI) was statistically improved from 0.62 (3D-FiF) to 0.83 for tVMAT and 0.84 for JO-VMAT plans. The difference in the homogeneity index (HI) was not significant. The D to the heart was reduced from 12.15 Gy for 3D-FiF to 8.26 Gy for tVMAT and 7.20 Gy for JO-VMAT plans. However, a low-dose bath effect was observed with tVMAT plans to all the critical structures including the lungs, the heart, and the contralateral breast. With JO-VMAT, the V and V of the heart were reduced by 32.7% and 15.4% compared to 3D-FiF plans. Significantly, the ipsilateral lung showed a reduction in mean dose (4.65-3.44 Gy) and low dose parameters (23.4% reduction for V and 10.7% reduction for V) for JO-VMAT plans compared to the 3D-FiF plans. The V dose to the contralateral lung and breast was minimal with JO-VMAT techniques.

CONCLUSION

A JO-VMAT technique was evaluated in this study and compared with 3D-FiF and tVMAT techniques. Our results showed that the JO-VMAT technique can achieve clinically comparable coverage and homogeneity and significantly improve dose conformity within PTV. Additionally, JO-VMAT eliminated the low-dose bath effect at all OARs evaluation metrics including the ipsilateral/contralateral lung, the heart, and the contralateral breast compared to 3D-FiF and tVMAT. This technique is feasible for the whole breast radiation therapy of left breast cancers.

摘要

目的

在治疗计划系统中,通过适当的射束设置和优化约束,容积调强弧形治疗(VMAT)可以改善靶区剂量覆盖和适形性,同时降低全乳放疗中相邻结构的剂量。然而,低剂量沐浴效应对关键结构,特别是心脏和同侧肺,仍然是一个关注点。在这项研究中,我们提出了一种使用下颌偏移 VMAT(JO-VMAT)的 VMAT 技术,以降低全乳放疗中关键结构的漏射和散射线剂量。

材料和方法

回顾性地使用了 10 例左侧乳腺癌患者的数据进行这项研究。CT 图像是在 CT 扫描仪(GE,Discovery)上使用深吸气屏气(DIBH)技术采集的。计划靶区(PTV)和正常结构(肺、心脏和对侧乳房)在 DIBH 扫描上进行了轮廓勾画。使用 Eclipse 治疗计划系统创建了三维场内计划(3D-FiF)、切线 VMAT(tVMAT)计划和 JO-VMAT 计划。一个弧形治疗场,通过 X 形的下颌关闭穿过中心轴,形成一个甜甜圈形状的高剂量分布和一个沿着旋转机架中心轴的圆柱形低剂量体积。通过使用适当的多叶准直器(MLC)调制来实现这种设置,优化后的计划有可能提供足够的靶区覆盖并减少对关键结构的不必要照射。JO-VMAT 计划涉及 5-6 个切线弧形(3 个顺时针弧形和 2-3 个逆时针弧形),并伴有下颌偏移。计划通过指定目标函数进行优化,以实现 PTV 剂量覆盖和均匀性;对于危及器官(OARs),则为每个患者指定单独的目标函数,以实现最佳的治疗计划。对于 tVMAT 计划,除了从初始射束设置中移除下颌偏移外,优化约束保持不变。生成剂量体积直方图(DVH)参数,以评估 PTV 和 OAR 的剂量学。

结果

所有计划的 PTV 接受的 D 剂量均大于 42.56Gy 的处方剂量。使用两种 VMAT 技术,PTV 适形指数(CI)均得到了统计学上的改善,从 3D-FiF 的 0.62 提高到 tVMAT 的 0.83 和 JO-VMAT 计划的 0.84。均匀性指数(HI)的差异不显著。心脏的 D 剂量从 3D-FiF 的 12.15Gy 降低到 tVMAT 的 8.26Gy 和 JO-VMAT 计划的 7.20Gy。然而,tVMAT 计划对所有关键结构,包括肺、心脏和对侧乳房,都观察到了低剂量沐浴效应。与 3D-FiF 计划相比,JO-VMAT 使心脏的 V 和 V 分别减少了 32.7%和 15.4%。显著地,同侧肺的平均剂量(4.65-3.44Gy)和低剂量参数(V 减少 23.4%,V 减少 10.7%)与 3D-FiF 计划相比均有所降低。JO-VMAT 技术对同侧肺和对侧乳房的肺和乳房的 V 剂量最小。

结论

在这项研究中评估了一种 JO-VMAT 技术,并与 3D-FiF 和 tVMAT 技术进行了比较。我们的结果表明,JO-VMAT 技术可以实现临床可比的覆盖和均匀性,并显著改善 PTV 内的剂量适形性。此外,与 3D-FiF 和 tVMAT 相比,JO-VMAT 消除了所有 OAR 评估指标,包括同侧/对侧肺、心脏和对侧乳房的低剂量沐浴效应。这种技术对于左侧乳腺癌的全乳放疗是可行的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/1b4da0eb6a6a/ACM2-25-e14365-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/c1565916afa9/ACM2-25-e14365-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/3413dc739294/ACM2-25-e14365-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/6a70a3d70382/ACM2-25-e14365-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/8d9f93e87f5d/ACM2-25-e14365-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/1b4da0eb6a6a/ACM2-25-e14365-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/c1565916afa9/ACM2-25-e14365-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/3413dc739294/ACM2-25-e14365-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/6a70a3d70382/ACM2-25-e14365-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/8d9f93e87f5d/ACM2-25-e14365-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2f0/11302810/1b4da0eb6a6a/ACM2-25-e14365-g005.jpg

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