A new software tool for inter treatment planning system IMRT comparison study

被引:0
|
作者
Mu, G. [1 ]
Xia, P. [1 ]
机构
[1] Univ Calif San Francisco, San Francisco, CA 94143 USA
关键词
D O I
10.1118/1.2760675
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To develop a software tool to enable the direct comparison of the dose accuracy of different treatment planning systems (TPS) and the efficacy of different optimization methods while separating the effects of the dose engine and optimizer. Method and Materials: Based on TPS used at our institution, we have developed a software tool using the C programming language to convert RTP files exported from the Corvus system to the Pinnacle system. The planning CT along with the contoured structures can be transferred between these two TPS's. The developed software tool was used to convert the Corvus treatment delivery files to the Pinnacle system. The first application of this tool is to compare the dose calculations performed by these systems. The second application is to compare the efficacy of the optimization methods in these systems. We plan to test ten patients with head and neck tumors. Results: The new software tool successfully converts RTP files exported from any commercial TPS to the Pinnacle TPS, allowing us to separately study the optimization algorithm and dose calculation engine in the two systems. Preliminary results from one patient plan showed that Pinnacle and Corvus systems give different results, where Pinnacle system gave a 3.6% higher D95% value in the pGTV and 3.7% higher in the pCTV. The maximum dose to the brainstem and spinal cord in Pinnacle plan were 7.3% and 3.7%, higher respectively. Both TPS's have been commissioned for clinical use in our institution, and a patient specific phantom measurement is performed for each patient. Conclusion: A new software tool for inter‐TPS IMRT comparison study has been developed and tested. This tool allows us to directly compare TPS's using clinical data, revealing detailed dose differences in the coverage of the tumor volume as well as the doses to the sensitive structures. © 2007, American Association of Physicists in Medicine. All rights reserved.
引用
收藏
页码:2407 / 2407
页数:1
相关论文
共 50 条
  • [1] A Software Tool for Transition From Conventional to Automatic IMRT Treatment Planning
    Ahmed, S. B. S.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E618 - E618
  • [2] Characterisation of IMRT Treatment Plans following Planning System Software Upgrades
    McGarry, C. K.
    O'Toole, M.
    Cosgrove, V. P.
    [J]. CLINICAL ONCOLOGY, 2009, 21 (03) : 273 - 273
  • [3] PARETO: A New Multiobjective IMRT Treatment Planning System
    Potrebko, P. S.
    Fiege, J.
    Champion, H.
    Cull, A.
    McCurdy, B.
    West, M.
    Lyn, E.
    Butler, J.
    Fewer, D.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2011, 81 (02): : S197 - S198
  • [4] An Inter-Institutional Comparison of Knowledge-Based IMRT Treatment Planning for Prostate Cancer
    Chanyavanich, V.
    Das, S.
    Lo, J.
    [J]. MEDICAL PHYSICS, 2011, 38 (06)
  • [5] Inverse IMRT planning with commercial software: a comparison of the pinnacle and plato planning algorithms
    Mayles, H
    Cassapi, L
    Mayles, P
    Scott, A
    Syndikus, I
    Wolff, T
    [J]. RADIOTHERAPY AND ONCOLOGY, 2003, 68 : S70 - S70
  • [6] PRIMO Monte Carlo software as a tool for commissionning of a treatment planning system
    Calvo-Ortega, J.
    Hermida-Lopez, M.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2023, 182 : S1555 - S1556
  • [7] PRIMO software as a tool for Monte Carlo treatment quality control in IMRT: a preliminary study
    Pita, V.
    Esposito, A.
    Dias, A.
    Lencart, J.
    Santos, J.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2016, 119 : S736 - S736
  • [8] IMRT treatment planning -: A comparative inter-system and intor-centre planning exercise of the ESTRO QUASIMODO group
    Bohsung, J
    Gillis, S
    Arrans, R
    Bakai, A
    De Wagter, C
    Knöös, T
    Mijnheer, BJ
    Paiusco, M
    Perrin, BA
    Welleweerd, H
    Williams, P
    [J]. RADIOTHERAPY AND ONCOLOGY, 2005, 76 (03) : 354 - 361
  • [9] Evaluating VERT as a radiotherapy plan evaluation tool: comparison with treatment planning software
    Bridge, P.
    Kirby, M. C.
    Callender, J. A.
    [J]. JOURNAL OF RADIOTHERAPY IN PRACTICE, 2020, 19 (03) : 210 - 214
  • [10] Treatment planning system evaluation for mesothelioma IMRT
    Stevens, CW
    Wong, PF
    Rice, D
    Jeeter, M
    Forster, K
    Zhu, XR
    [J]. LUNG CANCER, 2005, 49 : S75 - S81