Literature DB >> 33998654

Technical Note: validation of a material assignment method for a retrospective study of carbon-ion radiotherapy using Monte Carlo simulation.

Weishan Chang1, Yusuke Koba1, Takuya Furuta2, Shunsuke Yonai3, Shintaro Hashimoto2, Shinnosuke Matsumoto3, Tatsuhiko Sato3.   

Abstract

We propose a two-step method to converse human tissue materials from patient computed tomography (CT) images, which is required in dose reconstructions for a retrospective study of carbon-ion radiotherapy (CIRT) using Monte Carlo (MC) simulation. The first step was to assign the standard tissues of the International Commission on Radiological Protection reference phantoms according to the CT-number. The second step was to determine the mass density of each material based on the relationship between CT-number and stopping power ratio (Hounsfield unit [HU]-SPR) registered in treatment planning system (TPS). Direct implementation of the well-calibrated HU-SPR curve allows the reproduction of previous clinical treatments recorded in TPS without uncertainty due to a mismatch of the CT scanner or scanning conditions, whereas MC simulation with realistic human tissue materials can fulfill the out-of-field dose, which was missing in the record. To validate our proposed method, depth-dose distributions in the homogenous and heterogeneous phantoms irradiated by a 400 MeV/u carbon beam with an 8 cm spread-out Bragg peak (SOBP) were computed by the MC simulation in combination with the proposed methods and compared with those of TPS. Good agreement of the depth-dose distributions between the TPS and MC simulation (within a 1% discrepancy in range) was obtained for different materials. In contrast, fluence distributions of secondary particles revealed the necessity of MC simulation using realistic human tissue. The proposed material assignment method will be used for a retrospective study using previous clinical data of CIRT at the National Institute of Radiological Sciences (NIRS).
© The Author(s) 2021. Published by Oxford University Press on behalf of The Japanese Radiation Research Society and Japanese Society for Radiation Oncology.

Entities:  

Keywords:  Monte Carlo (MC) simulation; carbon-ion radiotherapy (CIRT); dose reconstruction; material assignment method

Mesh:

Year:  2021        PMID: 33998654      PMCID: PMC8438268          DOI: 10.1093/jrr/rrab028

Source DB:  PubMed          Journal:  J Radiat Res        ISSN: 0449-3060            Impact factor:   2.724


  34 in total

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Authors:  Nobuyuki Kanematsu; Naruhiro Matsufuji; Ryosuke Kohno; Shinichi Minohara; Tatsuaki Kanai
Journal:  Phys Med Biol       Date:  2003-04-21       Impact factor: 3.609

2.  In vivo dosimetry of high-dose-rate brachytherapy: study on 61 head-and-neck cancer patients using radiophotoluminescence glass dosimeter.

Authors:  Takayuki Nose; Masahiko Koizumi; Ken Yoshida; Kinji Nishiyama; Junichi Sasaki; Takeshi Ohnishi; Didier Peiffert
Journal:  Int J Radiat Oncol Biol Phys       Date:  2005-03-01       Impact factor: 7.038

3.  A technique for the quantitative evaluation of dose distributions.

Authors:  D A Low; W B Harms; S Mutic; J A Purdy
Journal:  Med Phys       Date:  1998-05       Impact factor: 4.071

4.  FLUKA particle therapy tool for Monte Carlo independent calculation of scanned proton and carbon ion beam therapy.

Authors:  Wioletta S Kozłowska; Till T Böhlen; Caterina Cuccagna; Alfredo Ferrari; Francesco Fracchiolla; Giuseppe Magro; Andrea Mairani; Marco Schwarz; Vasilis Vlachoudis; Dietmar Georg
Journal:  Phys Med Biol       Date:  2019-03-29       Impact factor: 3.609

Review 5.  Tolerance limits and methodologies for IMRT measurement-based verification QA: Recommendations of AAPM Task Group No. 218.

Authors:  Moyed Miften; Arthur Olch; Dimitris Mihailidis; Jean Moran; Todd Pawlicki; Andrea Molineu; Harold Li; Krishni Wijesooriya; Jie Shi; Ping Xia; Nikos Papanikolaou; Daniel A Low
Journal:  Med Phys       Date:  2018-03-23       Impact factor: 4.071

6.  Studies of the mortality of atomic bomb survivors, Report 14, 1950-2003: an overview of cancer and noncancer diseases.

Authors:  Kotaro Ozasa; Yukiko Shimizu; Akihiko Suyama; Fumiyoshi Kasagi; Midori Soda; Eric J Grant; Ritsu Sakata; Hiromi Sugiyama; Kazunori Kodama
Journal:  Radiat Res       Date:  2011-12-15       Impact factor: 2.841

7.  Nuclear-interaction correction of integrated depth dose in carbon-ion radiotherapy treatment planning.

Authors:  T Inaniwa; N Kanematsu; Y Hara; T Furukawa
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

8.  Monte Carlo study on secondary neutrons in passive carbon-ion radiotherapy: identification of the main source and reduction in the secondary neutron dose.

Authors:  Shunsuke Yonai; Naruhiro Matsufuji; Tatsuaki Kanai
Journal:  Med Phys       Date:  2009-10       Impact factor: 4.071

9.  Average soft-tissue and bone models for use in radiation dosimetry.

Authors:  D R White; H Q Woodard; S M Hammond
Journal:  Br J Radiol       Date:  1987-09       Impact factor: 3.039

10.  Risk of radiation-induced secondary rectal and bladder cancer following radiotherapy of prostate cancer.

Authors:  Camilla H Stokkevåg; Grete M Engeseth; Liv B Hysing; Kristian S Ytre-Hauge; Christian Ekanger; Ludvig P Muren
Journal:  Acta Oncol       Date:  2015-07-31       Impact factor: 4.089

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  1 in total

Review 1.  Medical application of particle and heavy ion transport code system PHITS.

Authors:  Takuya Furuta; Tatsuhiko Sato
Journal:  Radiol Phys Technol       Date:  2021-06-30
  1 in total

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