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在CMS XIO计划系统上,针对不同部位,对传统放疗、三维适形放疗和调强放疗技术中的卷积、叠加和快速叠加算法进行的对比研究。

Comparative study of convolution, superposition, and fast superposition algorithms in conventional radiotherapy, three-dimensional conformal radiotherapy, and intensity modulated radiotherapy techniques for various sites, done on CMS XIO planning system.

作者信息

Muralidhar K R, Murthy Narayana P, Raju Alluri Krishnam, Sresty Nvnm

机构信息

Department of Radiation Oncology, Indo-American Cancer Institute and Research Center, Road No:14, Banjara Hills, Hyderabad-500 034, Andhra Pradesh, Physics, Nagarjuna University, Nagarjuna Nagar, Guntur, Andhra Pradesh, India.

出版信息

J Med Phys. 2009 Jan;34(1):12-22. doi: 10.4103/0971-6203.48716.

DOI:10.4103/0971-6203.48716
PMID:20126561
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2804143/
Abstract

The aim of this study is to compare the dosimetry results that are obtained by using Convolution, Superposition and Fast Superposition algorithms in Conventional Radiotherapy, Three-Dimensional Conformal Radiotherapy (3D-CRT), and Intensity Modulated Radiotherapy (IMRT) for different sites, and to study the suitability of algorithms with respect to site and technique. For each of the Conventional, 3D-CRT, and IMRT techniques, four different sites, namely, Lung, Esophagus, Prostate, and Hypopharynx were analyzed. Treatment plans were created using 6MV Photon beam quality using the CMS XiO (Computerized Medical System, St.Louis, MO) treatment planning system. The maximum percentage of variation recorded between algorithms was 3.7% in case of Ca.Lung, for the IMRT Technique. Statistical analysis was performed by comparing the mean relative difference, Conformity Index, and Homogeneity Index for target structures. The fast superposition algorithm showed excellent results for lung and esophagus cases for all techniques. For the prostate, the superposition algorithm showed better results in all techniques. In the conventional case of the hypopharynx, the convolution algorithm was good. In case of Ca. Lung, Ca Prostate, Ca Esophagus, and Ca Hypopharynx, OARs got more doses with the superposition algorithm; this progressively decreased for fast superposition and convolution algorithms, respectively. According to this study the dosimetric results using different algorithms led to significant variation and therefore care had to be taken while evaluating treatment plans. The choice of a dose calculation algorithm may in certain cases even influence clinical results.

摘要

本研究的目的是比较在传统放疗、三维适形放疗(3D-CRT)和调强放疗(IMRT)中,针对不同部位使用卷积、叠加和快速叠加算法所获得的剂量学结果,并研究这些算法相对于部位和技术的适用性。对于传统放疗、3D-CRT和IMRT技术中的每一种,分析了四个不同的部位,即肺、食管、前列腺和下咽。使用CMS XiO(计算机医学系统,密苏里州圣路易斯)治疗计划系统,采用6MV光子束质量创建治疗计划。在IMRT技术中,对于肺癌病例,算法之间记录的最大变化百分比为3.7%。通过比较靶区结构的平均相对差异、适形指数和均匀性指数进行统计分析。快速叠加算法在所有技术的肺癌和食管癌病例中均显示出优异的结果。对于前列腺,叠加算法在所有技术中均显示出更好的结果。在下咽的传统病例中,卷积算法表现良好。在肺癌、前列腺癌、食管癌和下咽癌病例中,叠加算法使危及器官接受的剂量更多;快速叠加算法和卷积算法使危及器官接受的剂量则分别逐渐减少。根据这项研究,使用不同算法的剂量学结果导致了显著差异,因此在评估治疗计划时必须谨慎。在某些情况下,剂量计算算法的选择甚至可能影响临床结果。

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本文引用的文献

1
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J Cancer Res Ther. 2005 Jan-Mar;1(1):12-20. doi: 10.4103/0973-1482.16085.
2
A new homogeneity index based on statistical analysis of the dose-volume histogram.一种基于剂量体积直方图统计分析的新型均匀性指数。
J Appl Clin Med Phys. 2007 Mar 20;8(2):9-17. doi: 10.1120/jacmp.v8i2.2390.
3
Accuracy of patient dose calculation for lung IMRT: A comparison of Monte Carlo, convolution/superposition, and pencil beam computations.肺部调强放射治疗患者剂量计算的准确性:蒙特卡罗法、卷积/叠加法和笔形束算法的比较
Evaluation of Inhomogeneity Correction Performed by Radiotherapy Treatment Planning System.
放疗计划系统的不均匀性校正评估。
Asian Pac J Cancer Prev. 2022 Dec 1;23(12):4155-4162. doi: 10.31557/APJCP.2022.23.12.4155.
4
EGSnrc application for IMRT planning.EGSnrc在调强放射治疗计划中的应用。
Rep Pract Oncol Radiother. 2020 Mar-Apr;25(2):217-226. doi: 10.1016/j.rpor.2020.01.004. Epub 2020 Jan 22.
5
Point Dose Measurement for Verification of Treatment Planning System using an Indigenous Heterogeneous Pelvis Phantom for Clarkson, Convolution, Superposition, and Fast Superposition Algorithms.使用本土异质骨盆体模对克拉克森算法、卷积算法、叠加算法和快速叠加算法的治疗计划系统进行验证的点剂量测量
J Biomed Phys Eng. 2019 Dec 1;9(6):613-620. doi: 10.31661/jbpe.v0i0.1185. eCollection 2019 Dec.
6
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J Med Phys. 2013 Apr;38(2):74-81. doi: 10.4103/0971-6203.111310.
7
Commissioning and initial acceptance tests for a commercial convolution dose calculation algorithm for radiotherapy treatment planning in comparison with Monte Carlo simulation and measurement.
J Med Phys. 2012 Jul;37(3):145-50. doi: 10.4103/0971-6203.99237.
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4
Re-treatment of a lung tumour using a simple intensity-modulated radiotherapy approach.使用简单的调强放射治疗方法对肺部肿瘤进行再治疗。
Br J Radiol. 2005 Apr;78(928):358-61. doi: 10.1259/bjr/56095273.
5
Inverse planning in three-dimensional conformal and intensity-modulated radiotherapy of mid-thoracic oesophageal cancer.胸段中段食管癌三维适形放疗和调强放疗中的逆向计划
Br J Radiol. 2004 Jul;77(919):568-72. doi: 10.1259/bjr/19972578.
6
Experimental validation tests of fast Fourier transform convolution and multigrid superposition algorithms for dose calculation in low-density media.低密度介质中剂量计算的快速傅里叶变换卷积和多重网格叠加算法的实验验证测试
Radiother Oncol. 2003 May;67(2):239-49. doi: 10.1016/s0167-8140(03)00037-9.
7
Influence of dose calculation model on treatment plan evaluation in conformal radiotherapy: a three-case study.剂量计算模型对适形放疗中治疗计划评估的影响:三例研究。
Med Dosim. 2002 Spring;27(1):51-7. doi: 10.1016/s0958-3947(02)00088-2.
8
The effect of dose calculation accuracy on inverse treatment planning.剂量计算准确性对逆向治疗计划的影响。
Phys Med Biol. 2002 Feb 7;47(3):391-407. doi: 10.1088/0031-9155/47/3/303.
9
Dose calculations using convolution and superposition principles: the orientation of dose spread kernels in divergent x-ray beams.使用卷积和叠加原理的剂量计算:发散X射线束中剂量分布核的方向
Med Phys. 1993 Nov-Dec;20(6):1685-94. doi: 10.1118/1.596955.
10
Dosimetric evaluation of a pencil-beam algorithm for electrons employing a two-dimensional heterogeneity correction.采用二维不均匀性校正的电子束笔形束算法的剂量学评估。
Int J Radiat Oncol Biol Phys. 1984 Apr;10(4):561-9. doi: 10.1016/0360-3016(84)90036-1.