Literature DB >> 16532961

Assessing the effect of electron density in photon dose calculations.

J Seco1, P M Evans.   

Abstract

Photon dose calculation algorithms (such as the pencil beam and collapsed cone, CC) model the attenuation of a primary photon beam in media other than water, by using pathlength scaling based on the relative mass density of the media to water. In this study, we assess if differences in the electron density between the water and media, with different atomic composition, can influence the accuracy of conventional photon dose calculations algorithms. A comparison is performed between an electron-density scaling method and the standard mass-density scaling method for (i) tissues present in the human body (such as bone, muscle, etc.), and for (ii) water-equivalent plastics, used in radiotherapy dosimetry and quality assurance. We demonstrate that the important material property that should be taken into account by photon dose algorithms is the electron density, and not the mass density. The mass-density scaling method is shown to overestimate, relative to electrondensity predictions, the primary photon fluence for tissues in the human body and water-equivalent plastics, where 6%-7% and 10% differences were observed respectively for bone and air. However, in the case of patients, differences are expected to be smaller due to the large complexity of a treatment plan and of the patient anatomy and atomic composition and of the smaller thickness of bone/air that incident photon beams of a treatment plan may have to traverse. Differences have also been observed for conventional dose algorithms, such as CC, where an overestimate of the lung dose occurs, when irradiating lung tumors. The incorrect lung dose can be attributed to the.incorrect modeling of the photon beam attenuation through the rib cage (thickness of 2-3 cm in bone upstream of the lung tumor) and through the lung and the oversimplified modeling of electron transport in convolution algorithms. In the present study, the overestimation of the primary photon fluence, using the mass-density scaling method, was shown to be a consequence of the differences in the hydrogen content between the various media studied and water. On the other hand, the electron-density scaling method was shown to predict primary photon fluence in media other than water to within 1%-2% for all the materials studied and for energies up to 5 MeV. For energies above 5 MeV, the accuracy of the electron-density scaling method was shown to depend on the photon energy, where for materials with a high content of calcium (such as bone, cortical bone) or for primary photon energies above 10 MeV, the pair-production process could no longer be neglected. The electron-density scaling method was extended to account for pair-production attenuation of the primary photons. Therefore the scaling of the dose distributions in media other than water became dependent on the photon energy. The extended electron-scaling method was shown to estimate the photon range to within 1% for all materials studied and for energies from 100 keV to 20 MeV, allowing it to be used to scale dose distributions to media other than water and generated by clinical radiotherapy photon beams with accelerator energies from 4 to 20 MV.

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Year:  2006        PMID: 16532961     DOI: 10.1118/1.2161407

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


  23 in total

1.  Computed tomography as a source of electron density information for radiation treatment planning.

Authors:  Witold Skrzyński; Sylwia Zielińska-Dabrowska; Marta Wachowicz; Wioletta Slusarczyk-Kacprzyk; Paweł F Kukołowicz; Wojciech Bulski
Journal:  Strahlenther Onkol       Date:  2010-05-17       Impact factor: 3.621

2.  Dosimetric impact of motion in free-breathing and gated lung radiotherapy: a 4D Monte Carlo study of intrafraction and interfraction effects.

Authors:  Joao Seco; Greg C Sharp; Ziji Wu; David Gierga; Florian Buettner; Harald Paganetti
Journal:  Med Phys       Date:  2008-01       Impact factor: 4.071

3.  Phantom scatter corrections of radiochromic films in high-energy brachytherapy dosimetry: a Monte Carlo study.

Authors:  Mishra Subhalaxmi; T Palani Selvam
Journal:  Radiol Phys Technol       Date:  2015-03-10

4.  Algorithms used in heterogeneous dose calculations show systematic differences as measured with the Radiological Physics Center's anthropomorphic thorax phantom used for RTOG credentialing.

Authors:  Stephen F Kry; Paola Alvarez; Andrea Molineu; Carrie Amador; James Galvin; David S Followill
Journal:  Int J Radiat Oncol Biol Phys       Date:  2013-01-01       Impact factor: 7.038

5.  Effects of Hounsfield number conversion on CT based proton Monte Carlo dose calculations.

Authors:  Hongyu Jiang; Joao Seco; Harald Paganetti
Journal:  Med Phys       Date:  2007-04       Impact factor: 4.071

6.  Assessing the Dosimetric Accuracy of Magnetic Resonance-Generated Synthetic CT Images for Focal Brain VMAT Radiation Therapy.

Authors:  Eric Paradis; Yue Cao; Theodore S Lawrence; Christina Tsien; Mary Feng; Karen Vineberg; James M Balter
Journal:  Int J Radiat Oncol Biol Phys       Date:  2015-09-04       Impact factor: 7.038

7.  MRI-Based Proton Treatment Planning for Base of Skull Tumors.

Authors:  Ghazal Shafai-Erfani; Yang Lei; Yingzi Liu; Yinan Wang; Tonghe Wang; Jim Zhong; Tian Liu; Mark McDonald; Walter J Curran; Jun Zhou; Hui-Kuo Shu; Xiaofeng Yang
Journal:  Int J Part Ther       Date:  2019-09-30

8.  Feasibility study on effect and stability of adaptive radiotherapy on kilovoltage cone beam CT.

Authors:  Poonam Yadav; Velayudham Ramasubramanian; Bhudatt R Paliwal
Journal:  Radiol Oncol       Date:  2011-07-20       Impact factor: 2.991

9.  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

Review 10.  Computed tomography imaging parameters for inhomogeneity correction in radiation treatment planning.

Authors:  Indra J Das; Chee-Wai Cheng; Minsong Cao; Peter A S Johnstone
Journal:  J Med Phys       Date:  2016 Jan-Mar
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