Bharath Pandu, D Khanna, Mohandass Palanisamy, Saro Jacob, Sherin Manichan
{"title":"在异质介质中使用不同算法计算适形放疗剂量时处方点位置的剂量学影响","authors":"Bharath Pandu, D Khanna, Mohandass Palanisamy, Saro Jacob, Sherin Manichan","doi":"10.4103/jmp.jmp_71_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The aim of the study is to compare the accuracy of dose calculation for different dose calculation algorithms with different prescription points (air, tissue, air-tissue interface in carcinoma lung patients and bone, tissue, and bone-tissue interface in carcinoma buccal Mucosa tumors).</p><p><strong>Materials and methods: </strong>Forty-one patients with carcinoma lung and buccal mucosa were retrospectively selected for this study. A three-dimensional conformal radiotherapy reference plan was created using the prescription point in the tissue with Monte Carlo (MC) algorithms for both the groups of patients. The reference plan was modified by changing the prescription point and algorithms in the tissue, air, air-tissue interface for lung patients and tissue, bone, and bone-tissue interface for buccal mucosa patients. The dose received by the target volume and other organs at risk (OAR) structures was compared. To find out the statistical difference between different prescription points and algorithms, the statistical tests were performed with repeated measures ANOVA.</p><p><strong>Results: </strong>The target volume receiving 95% dose coverage in lung patients decreased to -3.08%, -5.75%, and -1.87% in the dose prescription point at the air-tissue interface with the dose calculation algorithms like MC, collapsed cone (CC), and pencil beam (PB), respectively, compared to that of the MC tissue. Spinal cord dose was increased in the CC and PB algorithms in all prescription points in patients with lung and buccal mucosa. OAR dose calculated by PB in all prescription points showed a significant deviation compared to MC tissue prescription point.</p><p><strong>Conclusion: </strong>This study will help demonstrate the accuracy of dose calculation for the different dose prescription points with the different treatment algorithms in radiotherapy treatment planning.</p>","PeriodicalId":51719,"journal":{"name":"Journal of Medical Physics","volume":"49 3","pages":"400-409"},"PeriodicalIF":0.7000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11548077/pdf/","citationCount":"0","resultStr":"{\"title\":\"Dosimetric Impact of Prescription Point Placement in Heterogeneous Medium for Conformal Radiotherapy Dose Calculation with Various Algorithms.\",\"authors\":\"Bharath Pandu, D Khanna, Mohandass Palanisamy, Saro Jacob, Sherin Manichan\",\"doi\":\"10.4103/jmp.jmp_71_24\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>The aim of the study is to compare the accuracy of dose calculation for different dose calculation algorithms with different prescription points (air, tissue, air-tissue interface in carcinoma lung patients and bone, tissue, and bone-tissue interface in carcinoma buccal Mucosa tumors).</p><p><strong>Materials and methods: </strong>Forty-one patients with carcinoma lung and buccal mucosa were retrospectively selected for this study. A three-dimensional conformal radiotherapy reference plan was created using the prescription point in the tissue with Monte Carlo (MC) algorithms for both the groups of patients. The reference plan was modified by changing the prescription point and algorithms in the tissue, air, air-tissue interface for lung patients and tissue, bone, and bone-tissue interface for buccal mucosa patients. The dose received by the target volume and other organs at risk (OAR) structures was compared. To find out the statistical difference between different prescription points and algorithms, the statistical tests were performed with repeated measures ANOVA.</p><p><strong>Results: </strong>The target volume receiving 95% dose coverage in lung patients decreased to -3.08%, -5.75%, and -1.87% in the dose prescription point at the air-tissue interface with the dose calculation algorithms like MC, collapsed cone (CC), and pencil beam (PB), respectively, compared to that of the MC tissue. Spinal cord dose was increased in the CC and PB algorithms in all prescription points in patients with lung and buccal mucosa. 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引用次数: 0
摘要
研究目的研究旨在比较不同剂量计算算法与不同处方点(肺癌患者的空气、组织、空气-组织界面,以及口腔黏膜癌患者的骨、组织、骨-组织界面)的剂量计算准确性:本研究回顾性地选择了 41 例肺癌和口腔黏膜癌患者。采用蒙特卡洛(Monte Carlo,MC)算法,利用组织中的处方点为两组患者创建了三维适形放疗参考计划。通过改变肺部患者的组织、空气和空气-组织界面处方点和算法,以及颊粘膜患者的组织、骨和骨-组织界面处方点和算法,对参考计划进行了修改。比较了靶体积和其他危险器官(OAR)结构接收到的剂量。为了找出不同处方点和算法之间的统计差异,采用重复测量方差分析进行了统计检验:结果:与 MC 组织相比,采用 MC、塌缩锥(CC)和铅笔束(PB)等剂量计算算法时,肺部患者在空气-组织界面剂量处方点的 95% 剂量覆盖率目标体积分别下降了-3.08%、-5.75% 和-1.87%。在肺部和口腔粘膜患者中,CC 和 PB 算法在所有处方点的脊髓剂量都有所增加。与 MC 组织处方点相比,PB 算法在所有处方点计算的 OAR 剂量都出现了显著偏差:这项研究将有助于证明在放疗治疗计划中使用不同治疗算法计算不同剂量处方点剂量的准确性。
Dosimetric Impact of Prescription Point Placement in Heterogeneous Medium for Conformal Radiotherapy Dose Calculation with Various Algorithms.
Objective: The aim of the study is to compare the accuracy of dose calculation for different dose calculation algorithms with different prescription points (air, tissue, air-tissue interface in carcinoma lung patients and bone, tissue, and bone-tissue interface in carcinoma buccal Mucosa tumors).
Materials and methods: Forty-one patients with carcinoma lung and buccal mucosa were retrospectively selected for this study. A three-dimensional conformal radiotherapy reference plan was created using the prescription point in the tissue with Monte Carlo (MC) algorithms for both the groups of patients. The reference plan was modified by changing the prescription point and algorithms in the tissue, air, air-tissue interface for lung patients and tissue, bone, and bone-tissue interface for buccal mucosa patients. The dose received by the target volume and other organs at risk (OAR) structures was compared. To find out the statistical difference between different prescription points and algorithms, the statistical tests were performed with repeated measures ANOVA.
Results: The target volume receiving 95% dose coverage in lung patients decreased to -3.08%, -5.75%, and -1.87% in the dose prescription point at the air-tissue interface with the dose calculation algorithms like MC, collapsed cone (CC), and pencil beam (PB), respectively, compared to that of the MC tissue. Spinal cord dose was increased in the CC and PB algorithms in all prescription points in patients with lung and buccal mucosa. OAR dose calculated by PB in all prescription points showed a significant deviation compared to MC tissue prescription point.
Conclusion: This study will help demonstrate the accuracy of dose calculation for the different dose prescription points with the different treatment algorithms in radiotherapy treatment planning.
期刊介绍:
JOURNAL OF MEDICAL PHYSICS is the official journal of Association of Medical Physicists of India (AMPI). The association has been bringing out a quarterly publication since 1976. Till the end of 1993, it was known as Medical Physics Bulletin, which then became Journal of Medical Physics. The main objective of the Journal is to serve as a vehicle of communication to highlight all aspects of the practice of medical radiation physics. The areas covered include all aspects of the application of radiation physics to biological sciences, radiotherapy, radiodiagnosis, nuclear medicine, dosimetry and radiation protection. Papers / manuscripts dealing with the aspects of physics related to cancer therapy / radiobiology also fall within the scope of the journal.