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Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines

PURPOSE: A relative biological effectiveness (RBE) of 1.1 is commonly used in clinical proton therapy, irrespective of tissue type and depth. This in vitro study was conducted to quantify the RBE of scanned protons as a function of the dose‐averaged linear energy transfer (LET(d)) and the sensitivit...

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Autores principales: Mara, Elisabeth, Clausen, Monika, Khachonkham, Suphalak, Deycmar, Simon, Pessy, Clara, Dörr, Wolfgang, Kuess, Peter, Georg, Dietmar, Gruber, Sylvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496287/
https://www.ncbi.nlm.nih.gov/pubmed/32347564
http://dx.doi.org/10.1002/mp.14212
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author Mara, Elisabeth
Clausen, Monika
Khachonkham, Suphalak
Deycmar, Simon
Pessy, Clara
Dörr, Wolfgang
Kuess, Peter
Georg, Dietmar
Gruber, Sylvia
author_facet Mara, Elisabeth
Clausen, Monika
Khachonkham, Suphalak
Deycmar, Simon
Pessy, Clara
Dörr, Wolfgang
Kuess, Peter
Georg, Dietmar
Gruber, Sylvia
author_sort Mara, Elisabeth
collection PubMed
description PURPOSE: A relative biological effectiveness (RBE) of 1.1 is commonly used in clinical proton therapy, irrespective of tissue type and depth. This in vitro study was conducted to quantify the RBE of scanned protons as a function of the dose‐averaged linear energy transfer (LET(d)) and the sensitivity factor (α/ß)(X). Additionally, three phenomenological models (McNamara, Rørvik, and Jones) and one mechanistic model (repair‐misrepair‐fixation, RMF) were applied to the experimentally derived data. METHODS: Four human cell lines (FaDu, HaCat, Du145, SKMel) with differential (α/ß)(X) ratios were irradiated in a custom‐designed irradiation setup with doses between 0 and 6 Gy at proximal, central, and distal positions of a 80 mm spread‐out Bragg peak (SOBP) centered at 80 mm (setup A: proton energies 66.5–135.6 MeV) and 155 mm (setup B: proton energies 127.2–185.9 MeV) depth, respectively. LET(d) values at the respective cell positions were derived from Monte Carlo simulations performed with the treatment planning system (TPS, RayStation). Dosimetric measurements were conducted to verify dose homogeneity and dose delivery accuracy. RBE values were derived for doses that resulted in 90 % (RBE(90)) and 10 % (RBE(10)) of cell survival, and survival after a 0.5 Gy dose (RBE(0.5Gy)), 2 Gy dose (RBE(2Gy)), and 6 Gy dose (RBE(6Gy)). RESULTS: LET(d) values at sample positions were 1.9, 2.1, 2.5, 2.8, 4.1, and 4.5 keV/µm. For the cell lines with high (α/ß)(X) ratios (FaDu, HaCat), the LET(d) did not impact on the RBE. For low (α/ß)(X) cell lines (Du145, SKMel), LQ‐derived survival curves indicated a clear correlation of LET(d) and RBE. RBE(90) values up to 2.9 and RBE(10) values between 1.4 and 1.8 were obtained. Model‐derived RBE predictions slightly overestimated the RBE for the high (α/ß)(X) cell lines, although all models except the Jones model provided RBE values within the experimental uncertainty. For low (α/ß)(X) cell lines, no agreement was found between experiments and model predictions, that is, all models underestimated the measured RBE. CONCLUSIONS: The sensitivity parameter (α/ß)(X) was observed to be a major influencing factor for the RBE of protons and its sensitivity toward LET(d) changes. RBE prediction models are applicable for high (α/ß)(X) cell lines but do not estimate RBE values with sufficient accuracy in low (α/ß)(X) cell lines.
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spelling pubmed-74962872020-09-25 Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines Mara, Elisabeth Clausen, Monika Khachonkham, Suphalak Deycmar, Simon Pessy, Clara Dörr, Wolfgang Kuess, Peter Georg, Dietmar Gruber, Sylvia Med Phys BIOLOGICAL PHYSICS AND RESPONSE PREDICTION PURPOSE: A relative biological effectiveness (RBE) of 1.1 is commonly used in clinical proton therapy, irrespective of tissue type and depth. This in vitro study was conducted to quantify the RBE of scanned protons as a function of the dose‐averaged linear energy transfer (LET(d)) and the sensitivity factor (α/ß)(X). Additionally, three phenomenological models (McNamara, Rørvik, and Jones) and one mechanistic model (repair‐misrepair‐fixation, RMF) were applied to the experimentally derived data. METHODS: Four human cell lines (FaDu, HaCat, Du145, SKMel) with differential (α/ß)(X) ratios were irradiated in a custom‐designed irradiation setup with doses between 0 and 6 Gy at proximal, central, and distal positions of a 80 mm spread‐out Bragg peak (SOBP) centered at 80 mm (setup A: proton energies 66.5–135.6 MeV) and 155 mm (setup B: proton energies 127.2–185.9 MeV) depth, respectively. LET(d) values at the respective cell positions were derived from Monte Carlo simulations performed with the treatment planning system (TPS, RayStation). Dosimetric measurements were conducted to verify dose homogeneity and dose delivery accuracy. RBE values were derived for doses that resulted in 90 % (RBE(90)) and 10 % (RBE(10)) of cell survival, and survival after a 0.5 Gy dose (RBE(0.5Gy)), 2 Gy dose (RBE(2Gy)), and 6 Gy dose (RBE(6Gy)). RESULTS: LET(d) values at sample positions were 1.9, 2.1, 2.5, 2.8, 4.1, and 4.5 keV/µm. For the cell lines with high (α/ß)(X) ratios (FaDu, HaCat), the LET(d) did not impact on the RBE. For low (α/ß)(X) cell lines (Du145, SKMel), LQ‐derived survival curves indicated a clear correlation of LET(d) and RBE. RBE(90) values up to 2.9 and RBE(10) values between 1.4 and 1.8 were obtained. Model‐derived RBE predictions slightly overestimated the RBE for the high (α/ß)(X) cell lines, although all models except the Jones model provided RBE values within the experimental uncertainty. For low (α/ß)(X) cell lines, no agreement was found between experiments and model predictions, that is, all models underestimated the measured RBE. CONCLUSIONS: The sensitivity parameter (α/ß)(X) was observed to be a major influencing factor for the RBE of protons and its sensitivity toward LET(d) changes. RBE prediction models are applicable for high (α/ß)(X) cell lines but do not estimate RBE values with sufficient accuracy in low (α/ß)(X) cell lines. John Wiley and Sons Inc. 2020-05-15 2020-08 /pmc/articles/PMC7496287/ /pubmed/32347564 http://dx.doi.org/10.1002/mp.14212 Text en © 2020 The Authors. Medical Physics published by Wiley Periodicals LLC on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle BIOLOGICAL PHYSICS AND RESPONSE PREDICTION
Mara, Elisabeth
Clausen, Monika
Khachonkham, Suphalak
Deycmar, Simon
Pessy, Clara
Dörr, Wolfgang
Kuess, Peter
Georg, Dietmar
Gruber, Sylvia
Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines
title Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines
title_full Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines
title_fullStr Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines
title_full_unstemmed Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines
title_short Investigating the impact of alpha/beta and LET(d) on relative biological effectiveness in scanned proton beams: An in vitro study based on human cell lines
title_sort investigating the impact of alpha/beta and let(d) on relative biological effectiveness in scanned proton beams: an in vitro study based on human cell lines
topic BIOLOGICAL PHYSICS AND RESPONSE PREDICTION
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496287/
https://www.ncbi.nlm.nih.gov/pubmed/32347564
http://dx.doi.org/10.1002/mp.14212
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