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使用CMS XiO和MONACO治疗计划系统对4MV、6MV和15MV射束能量在非均匀平板模体上不同算法的剂量学评估:一项机构研究。

Dosimetric Evaluation of Different Algorithms on Heterogeneous Slab Phantom Using CMS XiO and MONACO Treatment Planning System for 4MV, 6MV and 15MV Beam Energy: An Institutional Study.

作者信息

Katake Ajay, Kumar Lalit, Singh Balbir, Mishra Nijun, Gurjar Pradeep, Vashistha Rajesh, Basandrai Deepak

机构信息

Department of Physics, Lovely Professional University, Phagwara, India.

Department of Radiation Oncology, Samanvay Multispeciality Hospital PVT LTD, Junagadh, India.

出版信息

Asian Pac J Cancer Prev. 2024 Dec 1;25(12):4381-4389. doi: 10.31557/APJCP.2024.25.12.4381.

DOI:10.31557/APJCP.2024.25.12.4381
PMID:39733431
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12008326/
Abstract

AIM

To study the dosimetric behavior of dose computational algorithms in inhomogeneous medium using CMS XiO and MONACO treatment planning system (TPS) for 4 megavoltage (MV), 6 MV and 15 MV photon beam energies.

MATERIAL AND METHODS

Styrofoam blocks of thickness 1.90 cm, 3.8 cm and 5.70 cm was used to introduce inhomogeneity in a slab phantom. Wipro GE computed tomography (CT) scanner was used to scan the phantom. Doses were computed on the central axis of the beam using convolution (C), superposition (S), fast superposition (FS), collapsed cone convolution (CCC) and monte carlo (MC) algorithms for field geometries of 5x5 cm2 and 10x10 cm2 for above said photon beam energies, respectively. An Ion chamber (IC) of 0.6 cc volume was used for the dose measurements. The deviation between measured and TPS computed doses were recorded.

RESULTS

The PDD (Percentage depth dose) data obtained from the TPS (calculated data) and LINAC (measured data) was used for comparison based on different algorithms in order to calculate the percentage of maximum deviation (PMD). The PMD in MC algorithm were calculated for field sizes of 5x5 cm2 and 10x10 cm2 are found to be in ranging from 0.73% to -4.49% for 4MV,  1.62% to -2.42% for 6MV and 4.53% to -1.47%  for 15 MV for 1.90 cm air gap, 2.21% to -3.75% for 4MV, 3.87% to -2.88% for 6 MV and 4.87% to -3.46%  for 15 MV for 3.80 cm air gap, 2.77% to -4.66% for 4MV, 3.87% to -2.86% for 6 MV and 5.66% to -4.92% for 15 MV for 5.70cm air gap which is less as compared to CCC, C, FS, and S algorithms.

CONCLUSION

The comparison of C, S, FS, CCC and MC algorithms demonstrated that MC having better agreement with IC measurements. In conclusion, MC is a superior option for dose computation, particularly in the presence of low-density heterogeneities.

摘要

目的

使用CMS XiO和MONACO治疗计划系统(TPS),研究4兆伏(MV)、6 MV和15 MV光子束能量在非均匀介质中剂量计算算法的剂量学行为。

材料与方法

使用厚度为1.90厘米、3.8厘米和5.70厘米的聚苯乙烯泡沫塑料块在平板模体中引入不均匀性。使用Wipro GE计算机断层扫描(CT)扫描仪对模体进行扫描。分别针对上述光子束能量,使用卷积(C)、叠加(S)、快速叠加(FS)、坍缩锥卷积(CCC)和蒙特卡罗(MC)算法,在5x5平方厘米和10x10平方厘米的射野几何形状下,在射束中心轴上计算剂量。使用体积为0.6立方厘米的电离室(IC)进行剂量测量。记录测量剂量与TPS计算剂量之间的偏差。

结果

基于不同算法,将从TPS(计算数据)和直线加速器(测量数据)获得的百分深度剂量(PDD)数据用于比较,以计算最大偏差百分比(PMD)。对于1.90厘米气隙,在5x5平方厘米和10x10平方厘米射野尺寸下,MC算法的PMD在4MV时为0.73%至 -4.49%,6MV时为1.62%至 -2.42%,15 MV时为4.53%至 -1.47%;对于3.80厘米气隙,4MV时为2.21%至 -3.75%,6 MV时为3.87%至 -2.88%,15 MV时为4.87%至 -3.46%;对于5.70厘米气隙,4MV时为2.77%至 -4.66%,6 MV时为3.87%至 -2.86%,15 MV时为5.66%至 -4.92%,与CCC、C、FS和S算法相比,该偏差较小。

结论

C、S、FS、CCC和MC算法的比较表明,MC与IC测量结果具有更好的一致性。总之,MC是剂量计算的更佳选择,尤其是在存在低密度不均匀性的情况下。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/c0c0c7613976/APJCP-25-4381-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/0564d2075bce/APJCP-25-4381-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/05099634521e/APJCP-25-4381-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/ced7e7e81237/APJCP-25-4381-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/a087d16cbaa6/APJCP-25-4381-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/c0c0c7613976/APJCP-25-4381-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/0564d2075bce/APJCP-25-4381-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/05099634521e/APJCP-25-4381-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/ced7e7e81237/APJCP-25-4381-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/a087d16cbaa6/APJCP-25-4381-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8a4/12008326/c0c0c7613976/APJCP-25-4381-g005.jpg

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2
Evaluating impact of medium variation on dose calculated through planning system in a low cost in-house phantom.评估介质变化对通过低成本自制模体中的计划系统计算出的剂量的影响。
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3
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J Cancer Res Ther. 2021 Oct-Dec;17(6):1491-1498. doi: 10.4103/jcrt.JCRT_1154_19.
4
Validation of the RapidArc Delivery System Using a Volumetric Phantom as Per Task Group Report 119 of the American Association of Physicists in Medicine.根据医学物理师协会任务组报告119,使用体模对RapidArc放射治疗系统进行验证。
J Med Phys. 2019 Apr-Jun;44(2):126-134. doi: 10.4103/jmp.JMP_118_18.
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Radiat Oncol. 2018 Apr 3;13(1):60. doi: 10.1186/s13014-018-1005-2.
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J Biomed Phys Eng. 2016 Sep 1;6(3):127-138. eCollection 2016 Sep.
7
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8
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J Med Phys. 2009 Jan;34(1):12-22. doi: 10.4103/0971-6203.48716.
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