Influence of Segment Shape Optimization Parameter in Radiotherapy Volumetric Modulated Arc Therapy Planning of Cervical Cancer

被引:0
作者
Jain, Nidhi [1 ]
Kumar, Alok [2 ]
Kumar, Ashok [1 ]
机构
[1] Department of Physics, AIAS, Amity University, U.P.
[2] Department of Radiation Oncology, Netaji Subhas Chandra Bose Cancer Hospital and Institute, West Bengal, Kolkata
关键词
Cervical Cancer; Sequencing Parameter; Therapy; VMAT; Volumetric Modulated Arc;
D O I
10.22038/ijmp.2023.69271.2220
中图分类号
学科分类号
摘要
Introduction: The aim of this study is to find out the influence of different Segment shape optimization (SSO) parameters in radiotherapy Volumetric Modulated Arc therapy (VMAT) planning of Cervical Cancer and to find out the optimized value for cervical cancer patients. Material and Methods: It was a retrospective study of 20 Ca cervix patients. Every patient had six plans named SL1, SL5, SL10, SL15, SL20, and NSL. In each case, the value of the shaping loop will be changed during the VMAT plan, while the other optimization parameters and constraint functions will remain the same in each case. All Dosimetric parameters have been measured and analysed for Planning Target Volume (PTV) and Organ at risk (OAR) dose, Monitor Unit (MU), memory, Plan Delivery Time (PDT), and Gamma Passing Rate (GPR) for comparison purposes. Results: In NSL cases, the PTV dose derived from the DVH did not meet the clinical standards D95% = 86.8% (<95%) with a poorer homogeneity index (HI = 0.2). As the SL value increases, plan quality increases, monitor units increase slightly and plan delivery time decreases while there is a parallel increase in memory consumption. There is no statistical difference in target dose and OAR dose between the SL5 and SL1 plans (P > 0.05) compared with the other groups. SL5 has the least plan memory compared to other SL values. Conclusion: Based on the plan quality, the dose accuracy, and the efficiency of delivery, SL1 and SL5 have similar characteristics in cervical cancer cases. Both SL1 and SL5 values should recommend for cervical cancer VMAT planning. © (2024), (Mashhad University of Medical Sciences). All rights reserved.
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页码:258 / 264
页数:6
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共 25 条
  • [1] Zhang S, Xu H, Zhang L, Qiao Y., Cervical cancer: Epidemiology, risk factors and screening, Chin J Cancer Res, 32, 6, pp. 720-728, (2020)
  • [2] Burmeister CA, Khan SF, Schafer G, Et al., Cervical cancer therapies: Current challenges and future perspectives, Tumour Virus Res, 13, (2022)
  • [3] Singh GK, Azuine RE, Siahpush M., Global inequalities in cervical cancer incidence and mortality are linked to deprivation, low socioeconomic status, and human development, International Journal of MCH and AIDS, 1, 1, (2012)
  • [4] Singh D, Vignat J, Lorenzoni V, Eslahi M, Ginsburg O, Lauby-Secretan B, Et al., Global estimates of incidence and mortality of cervical cancer in 2020: a baseline analysis of the WHO Global Cervical Cancer Elimination Initiative, The lancet global health, 11, 2, pp. e197-e206, (2023)
  • [5] Matuszak MM, Yan D, Grills I, Martinez A., Clinical applications of volumetric modulated arc therapy, Int J Radiat Oncol Biol Phys, 77, 2, pp. 608-616, (2010)
  • [6] McGrath SD, Matuszak MM, Yan D, Kestin LL, Martinez AA, Grills IS., Volumetric modulated arc therapy for delivery of hypofractionated stereotactic lung radiotherapy: A dosimetric and treatment efficiency analysis, Radiother Oncol, 95, 2, pp. 153-157, (2010)
  • [7] Diot Q, Kavanagh B, Timmerman R, Miften M., Biological-based optimization and volumetric modulated arc therapy delivery for stereotactic body radiation therapy, Med Phys, 39, 1, pp. 237-245, (2012)
  • [8] Chow JC, Wong E, Chen JZ, Van Dyk J., Comparison of dose calculation algorithms with Monte Carlo methods for photon arcs, Med Phys, 30, 10, pp. 2686-2694, (2003)
  • [9] Ma CM, Mok E, Kapur A, Et al., Clinical implementation of a Monte Carlo treatment planning system, Med Phys, 26, 10, pp. 2133-2143, (1999)
  • [10] Abbas AS, Moseley D, Kassam Z, Kim SM, Cho C., Volumetric‐modulated arc therapy for the treatment of a large planning target volume in thoracic esophageal cancer, Journal of Applied Clinical Medical Physics, 14, 3, pp. 192-202, (2013)