Literature DB >> 19746789

High resolution entry and exit Monte Carlo dose calculations from a linear accelerator 6 MV beam under the influence of transverse magnetic fields.

B M Oborn1, P E Metcalfe, M J Butson, A B Rosenfeld.   

Abstract

A current concern with 6 MV transverse field MRI-linac hybrid systems is the predicted increases in skin dose (both the entry and exit sides) caused by the effects of the magnetic field on secondary electrons. In this work high resolution GEANT4 Monte Carlo simulations have been performed at the beam central axis in the entry and exit regions of a water phantom to predict surface (0 microm depth) and skin (70 microm depth) doses when placed in such a hybrid system. A 30 x 30 x 20 cm3 water phantom with 10 microm thick voxels has been simulated by being irradiated perpendicularly with a 6 MV photon beam (Varian 2100C) of sizes of 5 x 5, 10 x 10, 15 x 15, and 20 x 20 cm2. Uniform transverse magnetic fields of 0.2, 0.75, 1.5, and 3 T with varying thickness above the phantom have been investigated. Simulations with and without lepton contamination have been performed. In the entry region the high resolution scoring has yielded unexpected surface and skin doses. There is a small amount of nonpurged air-generated lepton contamination that originates immediately above the phantom surface and delivers its dose over very short longitudinal distances in the entry region. At 0.2 T the surface and skin doses are not accurately predicted using lepton-contamination-free simulations and extrapolated lower resolution scoring. Lepton-free simulations are up to 7% of Dmax lower than simulations with leptons. However, compared to 0 T, entry skin dose is reduced at 0.2 and 0.75 T but increases to 28%-31% of Dmax at 3 T. For skin doses at the central axis in the exit region, high resolution scoring shows relative increases of 38%-106%, depending on the magnetic field strength and field size. These values are also up to 20% higher than lower resolution results. The shape of the exit dose profiles varies unpredictably and so extrapolation of low resolution data is insufficient. In order to achieve accurate Monte Carlo skin dosimetry in a transverse field MRI-linac system, the authors recommend using high resolution scoring. In systems of 0.2 T the inclusion of air-generated lepton contamination is also recommended.

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Year:  2009        PMID: 19746789     DOI: 10.1118/1.3157203

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  6 in total

1.  Technical Note: A Monte Carlo study of magnetic-field-induced radiation dose effects in mice.

Authors:  Ashley E Rubinstein; Zhongxing Liao; Adam D Melancon; Michele Guindani; David S Followill; Ramesh C Tailor; John D Hazle; Laurence E Court
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

Review 2.  Advances in Image-Guided Radiotherapy in the Treatment of Oral Cavity Cancer.

Authors:  Hsin-Hua Nien; Li-Ying Wang; Li-Jen Liao; Ping-Yi Lin; Chia-Yun Wu; Pei-Wei Shueng; Chen-Shuan Chung; Wu-Chia Lo; Shih-Chiang Lin; Chen-Hsi Hsieh
Journal:  Cancers (Basel)       Date:  2022-09-23       Impact factor: 6.575

Review 3.  The potential for an enhanced role for MRI in radiation-therapy treatment planning.

Authors:  P Metcalfe; G P Liney; L Holloway; A Walker; M Barton; G P Delaney; S Vinod; W Tome
Journal:  Technol Cancer Res Treat       Date:  2013-04-24

Review 4.  Optimizing MR-Guided Radiotherapy for Breast Cancer Patients.

Authors:  Maureen L Groot Koerkamp; Jeanine E Vasmel; Nicola S Russell; Simona F Shaitelman; Carmel N Anandadas; Adam Currey; Danny Vesprini; Brian M Keller; Chiara De-Colle; Kathy Han; Lior Z Braunstein; Faisal Mahmood; Ebbe L Lorenzen; Marielle E P Philippens; Helena M Verkooijen; Jan J W Lagendijk; Antonetta C Houweling; H J G Desiree van den Bongard; Anna M Kirby
Journal:  Front Oncol       Date:  2020-07-28       Impact factor: 6.244

Review 5.  Medical physics challenges in clinical MR-guided radiotherapy.

Authors:  Christopher Kurz; Giulia Buizza; Guillaume Landry; Florian Kamp; Moritz Rabe; Chiara Paganelli; Guido Baroni; Michael Reiner; Paul J Keall; Cornelis A T van den Berg; Marco Riboldi
Journal:  Radiat Oncol       Date:  2020-05-05       Impact factor: 3.481

6.  Calibration of the EBT3 Gafchromic Film Using HNN Deep Learning.

Authors:  Liyun Chang; Shyh-An Yeh; Sheng-Yow Ho; Hueisch-Jy Ding; Pang-Yu Chen; Tsair-Fwu Lee
Journal:  Biomed Res Int       Date:  2021-01-31       Impact factor: 3.411

  6 in total

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