Literature DB >> 31889925

Optimization of treatment planning for hypoxic tumours and re-modulation of radiation intensity in heavy-ion radiotherapy.

Ladan Rezaee1.   

Abstract

AIM: The purpose of this study is to optimize treatment planning in carbon ion radiotherapy, taking into account the effect of tumour hypoxia.
BACKGROUND: In conventional hadron therapy, the goal is to create a homogenous dose in the tumour area and, thus, achieve a uniform cell survival level. Since the induction of a specific damage to cells is directly influenced by the level of hypoxia in the tissue, the varying oxygen pressure in the different regions of hypoxic tumours would disrupt the uniformity of the cell survival level.
MATERIALS AND METHODS: Using the Geant4 Monte Carlo Code, the physical dose profile and dose-averaged linear energy transfer were calculated in the tumour. Then, the oxygen enhancement ratio in different areas of the tumour were compared with different pressures.
RESULTS: Modulations of radiation intensities as well as energies of ion beams were calculated, both considering and disregarding the effect of hypoxia, and the required dose profiles were compared with each other. Cell survival levels were also compared between the two methods. An equation was obtained for re-modulating the beams in the presence of hypoxia, and radiation weighting factors were extracted for the beam intensities.
CONCLUSION: The results show that taking the effect of hypoxia into account would cause the reduction of average doses delivered to the tumour tissues up to 1.54 times. In this regard, the required dose is reduced by 1.63 times in the healthy tissues before the tumour. This will result in an effective protection of healthy tissues around the tumour.
© 2019 Greater Poland Cancer Centre. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Hadron therapy; Hypoxic tumour; Monte Carlo; OER

Year:  2019        PMID: 31889925      PMCID: PMC6933175          DOI: 10.1016/j.rpor.2019.12.014

Source DB:  PubMed          Journal:  Rep Pract Oncol Radiother        ISSN: 1507-1367


  42 in total

1.  Inactivation of aerobic and hypoxic cells from three different cell lines by accelerated (3)He-, (12)C- and (20)Ne-ion beams.

Authors:  Y Furusawa; K Fukutsu; M Aoki; H Itsukaichi; K Eguchi-Kasai; H Ohara; F Yatagai; T Kanai; K Ando
Journal:  Radiat Res       Date:  2000-11       Impact factor: 2.841

2.  Radiotherapy adapted to spatial and temporal variability in tumor hypoxia.

Authors:  Aste Søvik; Eirik Malinen; Hege K Skogmo; Søren M Bentzen; Oyvind S Bruland; Dag Rune Olsen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-08-01       Impact factor: 7.038

3.  Optimization of tumour control probability in hypoxic tumours by radiation dose redistribution: a modelling study.

Authors:  Aste Søvik; Eirik Malinen; Øyvind S Bruland; Søren M Bentzen; Dag Rune Olsen
Journal:  Phys Med Biol       Date:  2006-12-29       Impact factor: 3.609

4.  Tumor hypoxia has independent predictor impact only in patients with node-negative cervix cancer.

Authors:  A Fyles; M Milosevic; D Hedley; M Pintilie; W Levin; L Manchul; R P Hill
Journal:  J Clin Oncol       Date:  2002-02-01       Impact factor: 44.544

5.  Effects of oxygen on intrinsic radiation sensitivity: A test of the relationship between aerobic and hypoxic linear-quadratic (LQ) model parameters.

Authors:  David J Carlson; Robert D Stewart; Vladimir A Semenenko
Journal:  Med Phys       Date:  2006-09       Impact factor: 4.071

6.  Biological dose calculation with Monte Carlo physics simulation for heavy-ion radiotherapy.

Authors:  Yuki Kase; Nobuyuki Kanematsu; Tatsuaki Kanai; Naruhiro Matsufuji
Journal:  Phys Med Biol       Date:  2006-11-30       Impact factor: 3.609

7.  Oxygen tension in human tumours measured with polarographic needle electrodes and its relationship to vascular density, necrosis and hypoxia.

Authors:  H Lyng; K Sundfør; E K Rofstad
Journal:  Radiother Oncol       Date:  1997-08       Impact factor: 6.280

8.  Contributions of direct and indirect actions in cell killing by high-LET radiations.

Authors:  Ryoichi Hirayama; Atsushi Ito; Masanori Tomita; Teruyo Tsukada; Fumio Yatagai; Miho Noguchi; Yoshitaka Matsumoto; Yuki Kase; Koichi Ando; Ryuichi Okayasu; Yoshiya Furusawa
Journal:  Radiat Res       Date:  2009-02       Impact factor: 2.841

9.  The influence of changes in tumor hypoxia on dose-painting treatment plans based on 18F-FMISO positron emission tomography.

Authors:  Zhixiong Lin; James Mechalakos; Sadek Nehmeh; Heiko Schoder; Nancy Lee; John Humm; C Clifton Ling
Journal:  Int J Radiat Oncol Biol Phys       Date:  2008-03-15       Impact factor: 7.038

10.  Theoretical analysis of the dose dependence of the oxygen enhancement ratio and its relevance for clinical applications.

Authors:  Tatiana Wenzl; Jan J Wilkens
Journal:  Radiat Oncol       Date:  2011-12-15       Impact factor: 3.481

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