Forward treatment planning for modulated electron radiotherapy (MERT) employing Monte Carlo methods

被引:11
|
作者
Henzen, D. [1 ,2 ]
Manser, P. [1 ,2 ]
Frei, D. [1 ,2 ]
Volken, W. [1 ,2 ]
Neuenschwander, H. [3 ]
Born, E. J. [1 ,2 ]
Loessl, K. [1 ,2 ]
Aebersold, D. M. [1 ,2 ]
Stampanoni, M. F. M. [4 ,5 ]
Fix, M. K. [1 ,2 ]
机构
[1] Univ Bern, Div Med Radiat Phys, CH-3010 Bern, Switzerland
[2] Univ Bern, Univ Hosp Bern, Inselspital, Dept Radiat Oncol, CH-3010 Bern, Switzerland
[3] Lindenhofspital Bern, Clin Radiat Oncol, CH-3012 Bern, Switzerland
[4] ETH, Inst Biomed Engn, CH-5234 Villigen, Switzerland
[5] Paul Scherrer Inst, CH-5234 Villigen, Switzerland
关键词
modulated electron radiotherapy; forward planning; Monte Carlo; DIRECT APERTURE OPTIMIZATION; DOSE CALCULATION; RADIATION-THERAPY; PHOTON BEAMS; DESIGN; BREAST; ENERGY; COLLIMATOR; DOSIMETRY; IRRADIATION;
D O I
10.1118/1.4866227
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: This paper describes the development of a forward planning process for modulated electron radiotherapy (MERT). The approach is based on a previously developed electron beam model used to calculate dose distributions of electron beams shaped by a photon multi leaf collimator (pMLC). Methods: As the electron beam model has already been implemented into the Swiss Monte Carlo Plan environment, the Eclipse treatment planning system (Varian Medical Systems, Palo Alto, CA) can be included in the planning process for MERT. In a first step, CT data are imported into Eclipse and a pMLC shaped electron beam is set up. This initial electron beam is then divided into segments, with the electron energy in each segment chosen according to the distal depth of the planning target volume (PTV) in beam direction. In order to improve the homogeneity of the dose distribution in the PTV, a feathering process (Gaussian edge feathering) is launched, which results in a number of feathered segments. For each of these segments a dose calculation is performed employing the inhouse developed electron beam model along with the macro Monte Carlo dose calculation algorithm. Finally, an automated weight optimization of all segments is carried out and the total dose distribution is read back into Eclipse for display and evaluation. One academic and two clinical situations are investigated for possible benefits of MERT treatment compared to standard treatments performed in our clinics and treatment with a bolus electron conformal (BolusECT) method. Results: The MERT treatment plan of the academic case was superior to the standard single segment electron treatment plan in terms of organs at risk (OAR) sparing. Further, a comparison between an unfeathered and a feathered MERT plan showed better PTV coverage and homogeneity for the feathered plan, with V95% increased from 90% to 96% and V107% decreased from 8% to nearly 0%. For a clinical breast boost irradiation, the MERT plan led to a similar homogeneity in the PTV compared to the standard treatment plan while the mean body dose was lower for the MERT plan. Regarding the second clinical case, a whole breast treatment, MERT resulted in a reduction of the lung volume receiving more than 45% of the prescribed dose when compared to the standard plan. On the other hand, the MERT plan leads to a larger low-dose lung volume and a degraded dose homogeneity in the PTV. For the clinical cases evaluated in this work, treatment plans using the BolusECT technique resulted in a more homogenous PTV and CTV coverage but higher doses to the OARs than theMERT plans. Conclusions: MERT treatments were successfully planned for phantom and clinical cases, applying a newly developed intuitive and efficient forward planning strategy that employs a MC based electron beam model for pMLC shaped electron beams. It is shown that MERT can lead to a dose reduction in OARs compared to other methods. The process of feathering MERT segments results in an improvement of the dose homogeneity in the PTV. (C) 2014 American of Physicists in Medicine.
引用
收藏
页数:10
相关论文
共 50 条
  • [1] A new Monte Carlo treatment planning toolkit for modulated electron radiation therapy (MERT)
    Stathakis, S.
    Li, J.
    Ma, C.
    MEDICAL PHYSICS, 2006, 33 (06) : 2058 - 2058
  • [2] Inverse Treatment Planning for MERT Using Monte Carlo Calculations
    Henzen, D.
    Manser, P.
    Frei, D.
    Volken, W.
    Neuenschwander, H.
    Joosten, A.
    Born, E. J.
    Fix, M. K.
    Stampanoni, M.
    MEDICAL PHYSICS, 2013, 40 (06)
  • [3] Clinical considerations of Monte Carlo for electron radiotherapy treatment planning
    Faddegon, B
    Balogh, J
    Mackenzie, R
    Scora, D
    RADIATION PHYSICS AND CHEMISTRY, 1998, 53 (03) : 217 - 227
  • [4] Markov chain Monte Carlo methods in radiotherapy treatment planning
    Hugtenburg, RP
    ADVANCED MONTE CARLO FOR RADIATION PHYSICS, PARTICLE TRANSPORT SIMULATION AND APPLICATIONS, 2001, : 583 - 588
  • [5] Using the Swiss Monte Carlo Plan for inverse treatment planning of MERT
    Henzen, D.
    Manser, P.
    Frei, D.
    Volken, W.
    Neuenschwander, H.
    Joosten, A.
    Born, E. J.
    Fix, M. K.
    Stampanoni, M. F. M.
    STRAHLENTHERAPIE UND ONKOLOGIE, 2013, 189 (12) : 1075 - 1076
  • [6] Monte Carlo for Radiotherapy Treatment Planning
    Ma, C.
    MEDICAL PHYSICS, 2009, 36 (06)
  • [7] Accuracy of electron beam Monte Carlo calculations in radiotherapy treatment planning
    Arends, M
    Ausma, A
    van 't Veld, A
    RADIOTHERAPY AND ONCOLOGY, 2005, 76 : S43 - S43
  • [8] Commissioning of the Monte-Carlo based treatment planning system for photon-MLC modulated electron radiotherapy
    Mamalui-Hunter, M.
    Klein, E.
    Li, J.
    Low, D.
    MEDICAL PHYSICS, 2007, 34 (06) : 2427 - 2427
  • [9] Forward planned mert using the Swiss Monte Carlo Plan
    Henzen, D.
    Manser, P.
    Frei, D.
    Volken, W.
    Neuenschwander, H.
    Born, E. J.
    Fix, M. K.
    STRAHLENTHERAPIE UND ONKOLOGIE, 2012, 188 (08) : 733 - 733
  • [10] Monte Carlo based treatment planning for modulated electron beam radiation therapy
    Lee, MC
    Deng, J
    Li, JS
    Jiang, SB
    Ma, CM
    PHYSICS IN MEDICINE AND BIOLOGY, 2001, 46 (08): : 2177 - 2199