Literature DB >> 11444518

Monte Carlo simulation for MLC-based intensity-modulated radiotherapy.

T Pawlicki1, C M Ma.   

Abstract

This article describes photon beam Monte Carlo simulation for multi leaf collimator (MLC)-based intensity-modulated radiotherapy (IMRT). We present the general aspects of the Monte Carlo method for the non-Monte Carloist with an emphasis given to patient-specific radiotherapy application. Patient-specific application of the Monte Carlo method can be used for IMRT dose verification, inverse planning, and forward planning in conventional conformal radiotherapy. Because it is difficult to measure IMRT dose distributions in heterogeneous phantoms that approximate a patient, Monte Carlo methods can be used to verify IMRT dose distributions that are calculated using conventional methods. Furthermore, using Monte Carlo as the dose calculation method for inverse planning results in better-optimized treatment plans. We describe both aspects and present our recent results to illustrate the discussion. Finally, we present current issues related to clinical implementation of Monte Carlo dose calculation. Monte Carlo is the most recent, and most accurate, method of radiotherapy dose calculation. It is currently in the process of being implemented by various treatment planning vendors and will be available for clinical use in the immediate future.

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Year:  2001        PMID: 11444518     DOI: 10.1016/s0958-3947(01)00061-9

Source DB:  PubMed          Journal:  Med Dosim        ISSN: 1873-4022            Impact factor:   1.482


  6 in total

1.  Technical note: Heterogeneity dose calculation accuracy in IMRT: study of five commercial treatment planning systems using an anthropomorphic thorax phantom.

Authors:  Scott E Davidson; Richard A Popple; Geoffrey S Ibbott; David S Followill
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

2.  Calculated organ doses from selected prostate treatment plans using Monte Carlo simulations and an anatomically realistic computational phantom.

Authors:  Bryan Bednarz; Cindy Hancox; X George Xu
Journal:  Phys Med Biol       Date:  2009-08-11       Impact factor: 3.609

3.  Evaluation of dose prediction errors and optimization convergence errors of deliverable-based head-and-neck IMRT plans computed with a superposition/convolution dose algorithm.

Authors:  I B Mihaylov; J V Siebers
Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

4.  Dosimetric and Monte Carlo verification of jaws-only IMRT plans calculated by the Collapsed Cone Convolution algorithm for head and neck cancers.

Authors:  Duong Thanh Tai; Luong Thi Oanh; Nguyen Dong Son; Truong Thi Hong Loan; James C L Chow
Journal:  Rep Pract Oncol Radiother       Date:  2018-11-28

Review 5.  Lifetime risk estimators in epidemiological studies of Krabbe Disease: Review and Monte Carlo comparison.

Authors:  Alexander H Foss; Patricia K Duffner; Randy L Carter
Journal:  Rare Dis       Date:  2013-05-30

6.  Dose calculation accuracy of lung planning with a commercial IMRT treatment planning system.

Authors:  Patrick N McDermott; Tongming He; A DeYoung
Journal:  J Appl Clin Med Phys       Date:  2003       Impact factor: 2.102

  6 in total

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