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调试并实施一种带有洛伦兹校正的笔形束算法,作为医科达Unity 1.5T磁共振直线加速器的辅助剂量计算算法。

Commissioning and implementation of a pencil-beam algorithm with a Lorentz correction as a secondary dose calculation algorithm for an Elekta Unity 1.5T MR linear accelerator.

作者信息

Taneja Sameer, Wang Hesheng, Barbee David L, Galavis Paulina, Sosa Mario Serrano, Byun David, Zelefsky Michael, Chen Ting

机构信息

Department of Radiation Oncology, New York University Langone Medical Center, New York, New York, USA.

Department of Therapeutic Radiology, Yale University School of Medicine, New Haven, Connecticut, USA.

出版信息

J Appl Clin Med Phys. 2025 Mar;26(3):e14590. doi: 10.1002/acm2.14590. Epub 2024 Dec 3.

Abstract

PURPOSE

To commission a beam model in ClearCalc (Radformation Inc.) for use as a secondary dose calculation algorithm and to implement its use into an adaptive workflow for an MR-linear accelerator.

METHODS

A beam model was developed using commissioning data for an Elekta Unity MR-linear accelerator and entered into ClearCalc. The beam model consisted of absolute dose calculation settings, output factors, percent depth-dose (PDD) curves, mutli-leaf collimator (MLC) transmission and dose leaf gap error, and cryostat corrections. Beam profiles were hard-coded by the manufacturer into the beam model and were compared with Monaco-derived profiles. The beam model was tested by comparing point doses in a homogenous phantom obtained through measurements using an ionization chamber in water, Monaco, and ClearCalc for various field sizes, source-surface distances (SSDs), and point locations. Additional testing including point dose verification for test plans using a heterogeneous phantom and patient plans. Post clinical implementation, performance of ClearCalc was evaluated for the first 41 patients treated, which included 215 adaptive plans.

RESULTS

PDDs generated using ClearCalc fell within 1.2% of measurements. Field profile comparison between ClearCalc and Monaco showed an average pass rate of 98% using a 3%/3 mm gamma criteria. Measured cryostat corrections used in the beam model showed a maximum deviation from unity of 1.4%. Point dose and field monitor units (MUs) comparisons in a homogenous phantom (N = 22), heterogeneous phantoms (N = 22), and patient plans (N = 57) all passed with a threshold of 5%/5MU. Clinically, ClearCalc was implemented as a physics check post adaptive planning completed prior to beam delivery. Point dose and field MUs showed good agreement at a 5%/5MU threshold for prostate stereotactic body radiation therapy (SBRT), pelvic lymph nodes, rectum, and prostate and lymph node plans.

DISCUSSION

This work demonstrated commissioning and clinical implementation of ClearCalc into an adaptive planning workflow. No primary or adaptive plan failures were reported with proper beam model testing.

摘要

目的

在ClearCalc(Radformation公司)中调试一个射束模型,用作二次剂量计算算法,并将其应用于磁共振直线加速器的自适应工作流程。

方法

利用医科达Unity磁共振直线加速器的调试数据开发了一个射束模型,并输入到ClearCalc中。该射束模型包括绝对剂量计算设置、输出因子、百分深度剂量(PDD)曲线、多叶准直器(MLC)透射率和剂量叶间隙误差,以及低温恒温器校正。射束轮廓由制造商硬编码到射束模型中,并与Monaco导出的轮廓进行比较。通过比较在均匀体模中使用水中电离室、Monaco和ClearCalc在各种射野大小、源皮距(SSD)和点位置下测量得到的点剂量,对射束模型进行测试。额外的测试包括使用非均匀体模和患者计划对测试计划进行点剂量验证。在临床实施后,对首批41例接受治疗的患者(包括215个自适应计划)的ClearCalc性能进行了评估。

结果

使用ClearCalc生成的PDD在测量值的1.2%以内。使用3%/3毫米伽马标准,ClearCalc和Monaco之间的射野轮廓比较显示平均通过率为98%。射束模型中使用的实测低温恒温器校正显示与统一值的最大偏差为1.4%。在均匀体模(N = 22)、非均匀体模(N = 22)和患者计划(N = 57)中的点剂量和射野监测单位(MU)比较均以5%/5MU的阈值通过。临床上,ClearCalc在射束输出前完成的自适应计划后作为物理检查实施。对于前列腺立体定向体部放射治疗(SBRT)、盆腔淋巴结、直肠以及前列腺和淋巴结计划,点剂量和射野MU在5%/5MU阈值下显示出良好的一致性。

讨论

这项工作展示了将ClearCalc调试并临床应用于自适应计划工作流程。在进行适当的射束模型测试后,未报告初级或自适应计划失败的情况。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a36/11905237/a90aaed34b05/ACM2-26-e14590-g002.jpg

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