Dosimetry study of Auto-VMAT planning and Manual-VMAT planning based on Pinnacle3 9.10 in radiotherapy for cervical cancer

被引:0
|
作者
Sun, Haitao [1 ]
Liu, Ying [2 ]
Yuan, Ling [2 ]
Wang, Ning [1 ,3 ]
机构
[1] Zhongshan Hosp Tradit Chinese Med, Dept Radiotherapy, Zhongshan, Guangdong, Peoples R China
[2] Guangzhou Med Univ, Affiliated Hosp 5, Dept Radiotherapy, Guangzhou, Guangdong, Peoples R China
[3] Zhongshan Hosp Tradit Chinese Med, Dept Radiotherapy, Zhongshan 528400, Guangdong, Peoples R China
关键词
auto-VMAT plan; cervical cancer; manual-VMAT plan; IMRT;
D O I
10.1097/MD.0000000000034129
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
The purpose of this study was to compare the dose distribution characteristics of automatic volume-modulated arc therapy (Auto-VMAT) planning and manual volume-modulated arc therapy (Manual-VMAT) planning of Philips Pinnacle(3) 9.10 planning system, to provide a basis for optimal radiation therapy planning for cervical cancer. Ten patients with cervical cancer in our hospital from September to December 2018 were selected, and 2 treatment plans, Auto-VMAT plan and Manual-VMAT plan, were designed using Pinnacle(3) 9.10 planning system, respectively, to evaluate the maximum dose Dmax, mean dose Dmean, homogeneity index of the target area according to the dose volume histogram, the conformability index, plan optimization time, monitor units (MUs), organ at risk and other indicators. The results were that the Auto-VMAT plan was superior to the Manual-VMAT plan for target area Dmean, conformability index, and homogeneity index, with statistically significant differences (P < .05) and no significant difference in maximum dose Dmax (P > .05); rectal V40, V50, and Dmean in the Auto-VMAT plan, bladder V40, V50, and Dmean, small bowel V30, V40, V50 and Dmean, and right and left femoral V50 and Dmean were all lower than the Manual-VMAT plan, and the difference was statistically significant (P < .05); the mean optimization time for the Auto-VMAT and Manual-VMAT plans was 47 minutes and 35 minutes, respectively, an increase of 34%. The average number of MUs was 519 MUs and 374 MUs, respectively, an increase of 28%. This study concluded that the Pinnacle(3) 9.10-based Auto-VMAT plan was clinically feasible and significantly superior to the Manual-VMAT plan in terms of improved target area uniformity and conformability and reduced organ endangerment dose while reducing the impact of human factors on the quality of plan design.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] The superiority of hybrid-volumetric arc therapy (VMAT) technique over double arcs VMAT and 3D-conformal technique in the treatment of locally advanced non-small cell lung cancer - A planning study
    Chan, Oscar S. H.
    Lee, Michael C. H.
    Hung, Albert W. M.
    Chang, Amy T. Y.
    Yeung, Rebecca M. W.
    Lee, Anne W. M.
    RADIOTHERAPY AND ONCOLOGY, 2011, 101 (02) : 298 - 302
  • [32] A Multi-Institutional Study Investigating the Performance of a Knowledge-Based Planning System Against Pinnacle Auto-Planning Engine in SIB-IMRT for the Head-And-Neck Cancer
    Wu, B.
    Kusters, M.
    Kunze-busch, M.
    Dijkema, T.
    McNutt, T.
    Sanguineti, G.
    Pang, D.
    MEDICAL PHYSICS, 2016, 43 (06) : 3723 - 3724
  • [33] Benchmarking techniques for stereotactic body radiotherapy for early-stage glottic laryngeal cancer: LINAC-based non-coplanar VMAT vs. Cyberknife planning
    You Zhang
    Tsuicheng Chiu
    Jeffrey Dubas
    Zhen Tian
    Pam Lee
    Xuejun Gu
    Yulong Yan
    David Sher
    Robert Timmerman
    Bo Zhao
    Radiation Oncology, 14
  • [34] A dosimetric retrospective planning study comparing volumetric arc therapy (VMAT) and stereotactic body radiotherapy (SBRT) treatment plans for non-small cell lung cancer (NSCLC)
    Peter, Maungwe
    Crispen, Chamunyonga
    JOURNAL OF RADIOTHERAPY IN PRACTICE, 2015, 14 (03) : 260 - 267
  • [35] Benchmarking techniques for stereotactic body radiotherapy for early-stage glottic laryngeal cancer: LINAC-based non-coplanar VMAT vs. Cyberknife planning
    Zhang, You
    Chiu, Tsuicheng
    Dubas, Jeffrey
    Tian, Zhen
    Lee, Pam
    Gu, Xuejun
    Yan, Yulong
    Sher, David
    Timmerman, Robert
    Zhao, Bo
    RADIATION ONCOLOGY, 2019, 14 (01)
  • [36] First clinical results of adaptive radiotherapy based on 3D portal dosimetry for lung cancer patients with atelectasis treated with volumetric-modulated arc therapy (VMAT)
    Persoon, Lucas C. G. G.
    Egelmeer, Ada G. T. M.
    Oellers, Michel C.
    Nijsten, Sebastiaan M. J. J. G.
    Troost, Esther G. C.
    Verhaegen, Frank
    ACTA ONCOLOGICA, 2013, 52 (07) : 1484 - 1489
  • [37] Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers
    Jordan Wong
    Vicky Huang
    Derek Wells
    Joshua Giambattista
    Jonathan Giambattista
    Carter Kolbeck
    Karl Otto
    Elantholi P. Saibishkumar
    Abraham Alexander
    Radiation Oncology, 16
  • [38] Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers
    Wong, Jordan
    Huang, Vicky
    Wells, Derek
    Giambattista, Joshua
    Giambattista, Jonathan
    Kolbeck, Carter
    Otto, Karl
    Saibishkumar, Elantholi P.
    Alexander, Abraham
    RADIATION ONCOLOGY, 2021, 16 (01)
  • [39] Dosimetric study of the protection level of the bone marrow in patients with cervical or endometrial cancer for three radiotherapy techniques 3D CRT, IMRT and VMAT. Study protocol.
    Jodda, Agata
    Urbanski, Bartosz
    Piotrowski, Tomasz
    Malicki, Julian
    POLISH JOURNAL OF MEDICAL PHYSICS AND ENGINEERING, 2016, 22 (01) : 11 - 15
  • [40] Volumetric Modulated Arc Therapy vs 3-Dimensional Conformal Radiotherapy in Head and Neck Cancer: a Comparative Planning and Dosimetry Study
    Lee, S. M.
    Lee, C. K.
    Yu, K. S.
    Ngan, K. C.
    HONG KONG JOURNAL OF RADIOLOGY, 2012, 15 (03): : 149 - 154