Monte Carlo simulations to support start-up and treatment planning of scanned proton and carbon ion therapy at a synchrotron-based facility

被引:178
|
作者
Parodi, K. [1 ,2 ]
Mairani, A. [1 ,2 ,3 ]
Brons, S. [1 ,2 ]
Hasch, B. G. [1 ,2 ]
Sommerer, F. [1 ,2 ,4 ]
Naumann, J. [1 ,2 ]
Jaekel, O. [1 ,2 ]
Haberer, T. [1 ,2 ]
Debus, J. [1 ,2 ]
机构
[1] Heidelberg Univ Clin, Heidelberg Ion Beam Therapy Ctr, Heidelberg, Germany
[2] Heidelberg Univ Clin, Dept Radiat Oncol, Heidelberg, Germany
[3] German Canc Res Ctr, D-6900 Heidelberg, Germany
[4] European Org Nucl Res CERN, Geneva, Switzerland
来源
PHYSICS IN MEDICINE AND BIOLOGY | 2012年 / 57卷 / 12期
关键词
DOSE DISTRIBUTION; FLUKA CODE; SKULL-BASE; RADIOTHERAPY; SYSTEM; MODEL; BEAMS; VERIFICATION; DESIGN;
D O I
10.1088/0031-9155/57/12/3759
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Reliable treatment planning of highly conformal scanned ion beam therapy demands accurate tools for the determination and characterization of the individual pencil-like beams building up the integral dose delivery and related mixed radiation field. At present, clinically practicable inverse treatment planning systems (TPSs) can only rely on fast-performing analytical algorithms. However, the rapidly emerging though more computationally intensive Monte Carlo (MC) methods can be employed to complement analytical TPS, e.g., via accurate calculations of the input beam-model data, together with a considerable reduction of the measuring time. Here we present the work done for the application of the FLUKA MC code to support several aspects of scanned ion beam delivery and treatment planning at the Heidelberg Ion Beam Therapy Center (HIT). Emphasis is given to the generation of the accelerator library and of experimentally validated TPS input basic data which are now in clinical use for proton and carbon ion therapy. Additionally, MC dose calculations of planned treatments in water are shown to represent a valuable tool for supporting treatment plan verification in comparison to dosimetric measurements. This paper can thus provide useful information and guidelines for the start-up and clinical operation of forthcoming ion beam therapy facilities similar to HIT.
引用
收藏
页码:3759 / 3784
页数:26
相关论文
共 28 条
  • [1] Commissioning of a synchrotron-based proton beam therapy system for use with a Monte Carlo treatment planning system
    Azcona, Juan-Diego
    Aguilar, Borja
    Perales, Alvaro
    Polo, Ramon
    Zucca, Daniel
    Irazola, Leticia
    Vinals, Alberto
    Cabello, Pablo
    Delgado, Jose-Miguel
    Pedrero, Diego
    Bermudez, Rocio
    Fayos-Sola, Roser
    Huesa-Berral, Carlos
    Burguete, Javier
    RADIATION PHYSICS AND CHEMISTRY, 2023, 204
  • [2] Integration and evaluation of automated Monte Carlo simulations in the clinical practice of scanned proton and carbon ion beam therapy
    Bauer, J.
    Sommerer, F.
    Mairani, A.
    Unholtz, D.
    Farook, R.
    Handrack, J.
    Frey, K.
    Marcelos, T.
    Tessonnier, T.
    Ecker, S.
    Ackermann, B.
    Ellerbrock, M.
    Debus, J.
    Parodi, K.
    PHYSICS IN MEDICINE AND BIOLOGY, 2014, 59 (16): : 4635 - 4659
  • [3] Monte Carlo-based parametrization of the lateral dose spread for clinical treatment planning of scanned proton and carbon ion beams
    Parodi, Katia
    Mairani, Andrea
    Sommerer, Florian
    JOURNAL OF RADIATION RESEARCH, 2013, 54 : 91 - 96
  • [4] FLUKA particle therapy tool for Monte Carlo independent calculation of scanned proton and carbon ion beam therapy
    Kozlowska, Wioletta S.
    Bohlen, Till T.
    Cuccagna, Caterina
    Ferrari, Alfredo
    Fracchiolla, Francesco
    Magro, Giuseppe
    Mairani, Andrea
    Schwarz, Marco
    Vlachoudis, Vasilis
    Georg, Dietmar
    PHYSICS IN MEDICINE AND BIOLOGY, 2019, 64 (07):
  • [5] The influence of lateral beam profile modifications in scanned proton and carbon ion therapy: a Monte Carlo study
    Parodi, K.
    Mairani, A.
    Brons, S.
    Naumann, J.
    Kraemer, M.
    Sommerer, F.
    Haberer, T.
    PHYSICS IN MEDICINE AND BIOLOGY, 2010, 55 (17): : 5169 - 5187
  • [6] A Monte Carlo-based treatment planning tool for proton therapy
    Mairani, A.
    Bohlen, T. T.
    Schiavi, A.
    Tessonnier, T.
    Molinelli, S.
    Brons, S.
    Battistoni, G.
    Parodi, K.
    Patera, V.
    PHYSICS IN MEDICINE AND BIOLOGY, 2013, 58 (08): : 2471 - 2490
  • [7] GRID-ENABLED TREATMENT PLANNING FOR PROTON THERAPY USING MONTE CARLO SIMULATIONS
    Vadapalli, Ravi
    Yepes, Pablo
    Newhauser, Wayne
    Lichti, Roger
    NUCLEAR TECHNOLOGY, 2011, 175 (01) : 16 - 21
  • [8] Configuration of a Treatment Planning System with Monte Carlo Simulations for a Compact Proton Therapy Unit
    Zheng, Y.
    Klein, E.
    Rosenthal, S.
    MEDICAL PHYSICS, 2008, 35 (06)
  • [9] Monte Carlo framework for commissioning a synchrotron-based discrete spot scanning proton beam system and treatment plan verification
    Moskvin, Vadim P.
    Faught, Austin
    Pirlepesov, Fakhriddin
    Zhao, Li
    Hua, Chia-Ho
    Merchant, Thomas E.
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2021, 7 (04)
  • [10] A Monte Carlo-based treatment-planning tool for ion beam therapy
    Boehlen, T. T.
    Bauer, J.
    Dosanjh, M.
    Ferrari, A.
    Haberer, T.
    Parodi, K.
    Patera, V.
    Mairani, A.
    JOURNAL OF RADIATION RESEARCH, 2013, 54 : 77 - 81