Literature DB >> 20732758

Quantification of the relative biological effectiveness for ion beam radiotherapy: direct experimental comparison of proton and carbon ion beams and a novel approach for treatment planning.

Thilo Elsässer1, Wilma K Weyrather, Thomas Friedrich, Marco Durante, Gheorghe Iancu, Michael Krämer, Gabriele Kragl, Stephan Brons, Marcus Winter, Klaus-Josef Weber, Michael Scholz.   

Abstract

PURPOSE: To present the first direct experimental in vitro comparison of the biological effectiveness of range-equivalent protons and carbon ion beams for Chinese hamster ovary cells exposed in a three-dimensional phantom using a pencil beam scanning technique and to compare the experimental data with a novel biophysical model. METHODS AND MATERIALS: Cell survival was measured in the phantom after irradiation with two opposing fields, thus mimicking the typical patient treatment scenario. The novel biophysical model represents a substantial extension of the local effect model, previously used for treatment planning in carbon ion therapy for more than 400 patients, and potentially can be used to predict effectiveness of all ion species relevant for radiotherapy. A key feature of the new approach is the more sophisticated consideration of spatially correlated damage induced by ion irradiation.
RESULTS: The experimental data obtained for Chinese hamster ovary cells clearly demonstrate that higher cell killing is achieved in the target region with carbon ions as compared with protons when the effects in the entrance channel are comparable. The model predictions demonstrate agreement with these experimental data and with data obtained with helium ions under similar conditions. Good agreement is also achieved with relative biological effectiveness values reported in the literature for other cell lines for monoenergetic proton, helium, and carbon ions.
CONCLUSION: Both the experimental data and the new modeling approach are supportive of the advantages of carbon ions as compared with protons for treatment-like field configurations. Because the model predicts the effectiveness for several ion species with similar accuracy, it represents a powerful tool for further optimization and utilization of the potential of ion beams in tumor therapy.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20732758     DOI: 10.1016/j.ijrobp.2010.05.014

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  52 in total

Review 1.  Proton RBE dependence on dose in the setting of hypofractionation.

Authors:  Thomas Friedrich
Journal:  Br J Radiol       Date:  2019-08-28       Impact factor: 3.039

Review 2.  Comparing Photon and Charged Particle Therapy Using DNA Damage Biomarkers.

Authors:  Shayoni Ray; Egle Cekanaviciute; Ivan Paulino Lima; Brita Singers Sørensen; Sylvain V Costes
Journal:  Int J Part Ther       Date:  2018-09-21

3.  Comparative Risk Predictions of Second Cancers After Carbon-Ion Therapy Versus Proton Therapy.

Authors:  John G Eley; Thomas Friedrich; Kenneth L Homann; Rebecca M Howell; Michael Scholz; Marco Durante; Wayne D Newhauser
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-02-16       Impact factor: 7.038

Review 4.  Radiobiological issues in proton therapy.

Authors:  Radhe Mohan; Christopher R Peeler; Fada Guan; Lawrence Bronk; Wenhua Cao; David R Grosshans
Journal:  Acta Oncol       Date:  2017-08-22       Impact factor: 4.089

Review 5.  Modelling variable proton relative biological effectiveness for treatment planning.

Authors:  Aimee McNamara; Henning Willers; Harald Paganetti
Journal:  Br J Radiol       Date:  2019-11-18       Impact factor: 3.039

Review 6.  Proton beam therapy and immunotherapy: an emerging partnership for immune activation in non-small cell lung cancer.

Authors:  Howard J Lee; Jing Zeng; Ramesh Rengan
Journal:  Transl Lung Cancer Res       Date:  2018-04

7.  RAC2-P38 MAPK-dependent NADPH oxidase activity is associated with the resistance of quiescent cells to ionizing radiation.

Authors:  Hailong Pei; Jian Zhang; Jing Nie; Nan Ding; Wentao Hu; Junrui Hua; Ryoichi Hirayama; Yoshiya Furusawa; Cuihua Liu; Bingyan Li; Tom K Hei; Guangming Zhou
Journal:  Cell Cycle       Date:  2016-12-09       Impact factor: 4.534

8.  Robustness of target dose coverage to motion uncertainties for scanned carbon ion beam tracking therapy of moving tumors.

Authors:  John Gordon Eley; Wayne David Newhauser; Daniel Richter; Robert Lüchtenborg; Nami Saito; Christoph Bert
Journal:  Phys Med Biol       Date:  2015-02-04       Impact factor: 3.609

9.  A phenomenological relative biological effectiveness (RBE) model for proton therapy based on all published in vitro cell survival data.

Authors:  Aimee L McNamara; Jan Schuemann; Harald Paganetti
Journal:  Phys Med Biol       Date:  2015-10-13       Impact factor: 3.609

10.  4D optimization of scanned ion beam tracking therapy for moving tumors.

Authors:  John Gordon Eley; Wayne David Newhauser; Robert Lüchtenborg; Christian Graeff; Christoph Bert
Journal:  Phys Med Biol       Date:  2014-06-03       Impact factor: 3.609

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