Literature DB >> 18777909

Monte Carlo calculation of helical tomotherapy dose delivery.

Ying-Li Zhao1, M Mackenzie, C Kirkby, B G Fallone.   

Abstract

Helical tomotherapy delivers intensity modulated radiation therapy using a binary multileaf collimator (MLC) to modulate a fan beam of radiation. This delivery occurs while the linac gantry and treatment couch are both in constant motion, so the beam describes, from a patient/phantom perspective, a spiral or helix of dose. The planning system models this continuous delivery as a large number (51) of discrete gantry positions per rotation, and given the small jaw/fan width setting typically used (1 or 2.5 cm) and the number of overlapping rotations used to cover the target (pitch often <0.5), the treatment planning system (TPS) potentially employs a very large number of static beam directions and leaf opening configurations to model the modulated fields. All dose calculations performed by the system employ a convolution/superposition model. In this work the authors perform a full Monte Carlo (MC) dose calculation of tomotherapy deliveries to phantom computed tomography (CT) data sets to verify the TPS calculations. All MC calculations are performed with the EGSnrc-based MC simulation codes, BEAMnrc and DOSXYZnrc. Simulations are performed by taking the sinogram (leaf opening versus time) of the treatment plan and decomposing it into 51 different projections per rotation, as does the TPS, each of which is segmented further into multiple MLC opening configurations, each with different weights that correspond to leaf opening times. Then the projection is simulated by the summing of all of the opening configurations, and the overall rotational treatment is simulated by the summing of all of the projection simulations. Commissioning of the source model was verified by comparing measured and simulated values for the percent depth dose and beam profiles shapes for various jaw settings. The accuracy of the MLC leaf width and tongue and groove spacing were verified by comparing measured and simulated values for the MLC leakage and a picket fence pattern. The validated source and MLC configuration were then used to simulate a complex modulated delivery from fixed gantry angle. Further, a preliminary rotational treatment plan to a delivery quality assurance phantom (the "cheese" phantom) CT data set was simulated. Simulations were compared with measured results taken with an A1SL ionization chamber or EDR2 film measurements in a water tank or in a solid water phantom, respectively. The source and MLC MC simulations agree with the film measurements, with an acceptable number of pixels passing the 2%/1 mm gamma criterion. 99.8% of voxels of the MC calculation in the planning target volume (PTV) of the preliminary plan passed the 2%/2 mm gamma value test. 87.0% and 66.2% of the voxels in two organs at risk (OARs) passed the 2%/2 mm tests. For a 3%/3 mm criterion, the PTV and OARs show 100%, 93.2%, and 86.6% agreement, respectively. All voxels passed the gamma value test with a criterion of 5%/3 mm. The Tomo-Therapy TPS showed comparable results.

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Year:  2008        PMID: 18777909     DOI: 10.1118/1.2948409

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


  7 in total

1.  Investigation of the effects of treatment planning variables in small animal radiotherapy dose distributions.

Authors:  Amy R Motomura; Magdalena Bazalova; Hu Zhou; Paul J Keall; Edward E Graves
Journal:  Med Phys       Date:  2010-02       Impact factor: 4.071

2.  ARCHERRT - a GPU-based and photon-electron coupled Monte Carlo dose computing engine for radiation therapy: software development and application to helical tomotherapy.

Authors:  Lin Su; Youming Yang; Bryan Bednarz; Edmond Sterpin; Xining Du; Tianyu Liu; Wei Ji; X George Xu
Journal:  Med Phys       Date:  2014-07       Impact factor: 4.071

3.  Dosimetric accuracy of tomotherapy dose calculation in thorax lesions.

Authors:  Veronica Ardu; Sara Broggi; Giovanni Mauro Cattaneo; Paola Mangili; Riccardo Calandrino
Journal:  Radiat Oncol       Date:  2011-02-09       Impact factor: 3.481

4.  Dosimetric verification and quality assurance of running-start-stop (RSS) delivery in tomotherapy.

Authors:  Francis Kar-Ho Lee; Simon Kar-Yiu Chan; Ricky Ming-Chun Chau
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

5.  A virtual source model for Monte Carlo simulation of helical tomotherapy.

Authors:  Jiankui Yuan; Yi Rong; Quan Chen
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

6.  Assessment of a three-dimensional (3D) water scanning system for beam commissioning and measurements on a helical tomotherapy unit.

Authors:  Jean L Peng; Michael S Ashenafi; Daniel G McDonald; Kenneth N Vanek
Journal:  J Appl Clin Med Phys       Date:  2015-01-08       Impact factor: 2.102

7.  Statistical Analysis of Treatment Planning Parameters for Prediction of Delivery Quality Assurance Failure for Helical Tomotherapy.

Authors:  Kyung Hwan Chang; Young Hyun Lee; Byung Hun Park; Min Cheol Han; Jihun Kim; Hojin Kim; Min-Seok Cho; Hyokyeong Kang; Ho Lee; Dong Wook Kim; Kwangwoo Park; Jaeho Cho; Yong Bae Kim; Jin Sung Kim; Chae-Seon Hong
Journal:  Technol Cancer Res Treat       Date:  2020 Jan-Dec
  7 in total

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