Literature DB >> 21508447

Dose specification for radiation therapy: dose to water or dose to medium?

C-M Ma1, Jinsheng Li.   

Abstract

The Monte Carlo method enables accurate dose calculation for radiation therapy treatment planning and has been implemented in some commercial treatment planning systems. Unlike conventional dose calculation algorithms that provide patient dose information in terms of dose to water with variable electron density, the Monte Carlo method calculates the energy deposition in different media and expresses dose to a medium. This paper discusses the differences in dose calculated using water with different electron densities and that calculated for different biological media and the clinical issues on dose specification including dose prescription and plan evaluation using dose to water and dose to medium. We will demonstrate that conventional photon dose calculation algorithms compute doses similar to those simulated by Monte Carlo using water with different electron densities, which are close (<4% differences) to doses to media but significantly different (up to 11%) from doses to water converted from doses to media following American Association of Physicists in Medicine (AAPM) Task Group 105 recommendations. Our results suggest that for consistency with previous radiation therapy experience Monte Carlo photon algorithms report dose to medium for radiotherapy dose prescription, treatment plan evaluation and treatment outcome analysis.

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Year:  2011        PMID: 21508447     DOI: 10.1088/0031-9155/56/10/012

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  30 in total

1.  Dose specification for hippocampal sparing whole brain radiotherapy (HS WBRT): considerations from the UK HIPPO trial QA programme.

Authors:  Daniel Megias; Mark Phillips; Laura Clifton-Hadley; Elizabeth Harron; David J Eaton; Paul Sanghera; Gillian Whitfield
Journal:  Br J Radiol       Date:  2017-01-06       Impact factor: 3.039

2.  Dose Specification for NRG Radiation Therapy Trials.

Authors:  David J Gladstone; Stephen F Kry; Ying Xiao; Indrin J Chetty
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-04-07       Impact factor: 7.038

3.  Dose calculation and reporting with a linear Boltzman transport equation solver in vertebral SABR.

Authors:  Nicholas Hardcastle; Jeremy Hughes; Shankar Siva; Tomas Kron
Journal:  Phys Eng Sci Med       Date:  2021-11-23

4.  Dose accuracy improvement on head and neck VMAT treatments by using the Acuros algorithm and accurate FFF beam calibration.

Authors:  Guadalupe Martin-Martin; Stefan Walter; Eduardo Guibelalde
Journal:  Rep Pract Oncol Radiother       Date:  2021-02-25

5.  Effect of tissue composition on dose distribution in electron beam radiotherapy.

Authors:  M Ghorbani; Z S Tabatabaei; A Vejdani Noghreiyan; H Vosoughi; C Knaup
Journal:  J Biomed Phys Eng       Date:  2015-03-04

6.  Dose calculation of Acuros XB and Anisotropic Analytical Algorithm in lung stereotactic body radiotherapy treatment with flattening filter free beams and the potential role of calculation grid size.

Authors:  Baotian Huang; Lili Wu; Peixian Lin; Chuangzhen Chen
Journal:  Radiat Oncol       Date:  2015-02-26       Impact factor: 3.481

7.  Evaluation of dose prediction error and optimization convergence error in four-dimensional inverse planning of robotic stereotactic lung radiotherapy.

Authors:  Mark K H Chan; Dora L W Kwong; Anthony Tong; Eric Tam; Sherry C Y Ng
Journal:  J Appl Clin Med Phys       Date:  2013-07-08       Impact factor: 2.102

8.  A review on the use of grid-based Boltzmann equation solvers for dose calculation in external photon beam treatment planning.

Authors:  Monica W K Kan; Peter K N Yu; Lucullus H T Leung
Journal:  Biomed Res Int       Date:  2013-08-27       Impact factor: 3.411

9.  Dosimetrical and radiobiological approach to manage the dosimetric shift in the transition of dose calculation algorithm in radiation oncology: how to improve high quality treatment and avoid unexpected outcomes?

Authors:  Abdulhamid Chaikh; Jarkko Ojala; Catherine Khamphan; Robin Garcia; Jean Yves Giraud; Juliette Thariat; Jacques Balosso
Journal:  Radiat Oncol       Date:  2018-04-03       Impact factor: 3.481

10.  Correlation between the γ passing rates of IMRT plans and the volumes of air cavities and bony structures in head and neck cancer.

Authors:  Zhengwen Shen; Xia Tan; Shi Li; Xiumei Tian; Huanli Luo; Ying Wang; Fu Jin
Journal:  Radiat Oncol       Date:  2021-07-21       Impact factor: 3.481

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