Log file based Monte Carlo calculations for proton pencil beam scanning therapy

被引:23
|
作者
Winterhalter, Carla [1 ,2 ]
Meier, Gabriel [1 ]
Oxley, David [1 ]
Weber, Damien C. [1 ,3 ,4 ]
Lomax, Antony J. [1 ,2 ]
Safai, Sairos [1 ]
机构
[1] Paul Scherrer Inst, Ctr Proton Therapy, Villigen, Switzerland
[2] Swiss Fed Inst Technol, Dept Phys, Zurich, Switzerland
[3] Univ Hosp Bern, Radiat Oncol Dept, Bern, Switzerland
[4] Univ Hosp Zurich, Radiat Oncol Dept, Zurich, Switzerland
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2019年 / 64卷 / 03期
关键词
proton therapy; pencil beam scanning; Monte Carlo simulation; log file analysis; quality assurance; QUALITY-ASSURANCE; DOSE CALCULATIONS; SYSTEM; IMPACT;
D O I
10.1088/1361-6560/aaf82d
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Patient specific quality assurance is crucial to guarantee safety in proton pencil beam scanning. In current clinical practice, this requires extensive, time consuming measurements. Additionally, these measurements do not consider the influence of density heterogeneities in the patient and are insensitive to delivery errors. In this work, we investigate the use of log file based Monte Carlo calculations for dose reconstructions in the patient CT, which takes the combined influence of calculational and delivery errors into account. For one example field, 87%190% of the voxels agree within +/- 3% when taking either calculational or delivery uncertainties into account (analytical versus Monte Carlo calculation/Monte Carlo from planned versus Monte Carlo from log file). 78% agree when considering both uncertainties simultaneously (nominal field versus Monte Carlo from log files). We then show the application of the log file based Monte Carlo calculations as a patient specific quality assurance tool for a set of five patients (16 fields) treated for different indications. For all fields, absolute dose scaling factors based on the log file Monte Carlo agree within +/- 3% to the measurement based absolute dose scaling. Relative comparison shows that more than 90% of the voxels agree within +/- 5% between the analytical calculated plan and the Monte Carlo based on log files. The log file based Monte Carlo approach is an end-to-end test incorporating all requirements of patient specific quality assurance. It has the potential to reduce the workload and therefore to increase the patient throughput, while simultaneously enabling more accurate dose verification directly in the patient geometry.
引用
收藏
页数:9
相关论文
共 50 条
  • [21] A Comparison Between Pencil Beam Versus Monte Carlo Calculations in Arc Therapy
    Shin, H.
    Jung, J.
    Kim, M.
    Kay, C.
    Son, S.
    Kang, Y.
    Choi, B.
    Jang, H.
    [J]. INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2013, 87 (02): : S710 - S710
  • [22] Clinical applications of a Monte Carlo tool of a proton pencil beam scanning delivery system
    Fracchiolla, F.
    Schwarz, M.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2016, 119 : S379 - S380
  • [23] Log file based QA in practice - proton beam therapy
    Albertini, F.
    [J]. RADIOTHERAPY AND ONCOLOGY, 2020, 152 : S416 - S416
  • [24] Commissioning of a Facility-Specific Beam Data Library for a Fast Monte Carlo Code for Pencil Beam Scanning Proton Therapy
    Hong, L.
    Souris, K.
    Cohilis, M.
    Rossomme, S.
    Liu, H.
    Li, Z.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E587 - E587
  • [25] Assessment of Monte Carlo Simulations as Alternative Reference for Patient Specific Quality Assurance in Pencil Beam Scanning Proton Therapy
    Shin, J.
    Jee, K.
    Clasie, B.
    Depauw, N.
    Madden, T.
    Paganetti, H.
    Kooy, H.
    [J]. MEDICAL PHYSICS, 2017, 44 (06)
  • [26] Evaluation of monte carlo to support commissioning of the treatment planning system of new pencil beam scanning proton therapy facilities
    Botnariuc, D.
    Court, S.
    Lourenco, A.
    Gosling, A.
    Royle, G.
    Hussein, M.
    Rompokos, V
    Veiga, C.
    [J]. PHYSICS IN MEDICINE AND BIOLOGY, 2024, 69 (04):
  • [27] Validation and Application of a Commercial Proton Monte Carlo Pencil Beam Scanning Treatment Planning System
    Huang, S.
    Maslowski, A.
    Hiltunen, P.
    Lin, L.
    [J]. MEDICAL PHYSICS, 2019, 46 (06) : E589 - E589
  • [28] An Automated Monte Carlo Based QA Framework for Pencil Beam Scanning Treatments
    Shin, J.
    Jee, K.
    Clasie, B.
    Depauw, N.
    Madden, T.
    Sharp, G.
    Paganetti, H.
    Kooy, H.
    [J]. MEDICAL PHYSICS, 2016, 43 (06) : 3685 - 3685
  • [29] Validation and Implementation of Proton Pencil Beam Scanning Nozzle Using TOPAS Monte Carlo Simulation
    Lin, C.
    Feng, Y.
    [J]. MEDICAL PHYSICS, 2020, 47 (06) : E875 - E875
  • [30] Monte Carlo Computation of the Effective Dose in Scanning Beam Proton Therapy
    Mirkovic, D.
    Titt, U.
    Sawakuchi, G.
    Zhang, X.
    Li, Y.
    Mohan, R.
    [J]. MEDICAL PHYSICS, 2009, 36 (06)