Biologically optimized helium ion plans: calculation approach and its in vitro validation

Treatment planning studies on the biological effect of raster-scanned helium ion beams should be performed, together with their experimental verification, before their clinical application at the Heidelberg Ion Beam Therapy Center (HIT). For this purpose, we introduce a novel calculation approach ba...

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Veröffentlicht in:Physics in medicine & biology 2016-06, Vol.61 (11), p.4283-4299
Hauptverfasser: Mairani, A, Dokic, I, Magro, G, Tessonnier, T, Kamp, F, Carlson, D J, Ciocca, M, Cerutti, F, Sala, P R, Ferrari, A, Böhlen, T T, Jäkel, O, Parodi, K, Debus, J, Abdollahi, A, Haberer, T
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container_end_page 4299
container_issue 11
container_start_page 4283
container_title Physics in medicine & biology
container_volume 61
creator Mairani, A
Dokic, I
Magro, G
Tessonnier, T
Kamp, F
Carlson, D J
Ciocca, M
Cerutti, F
Sala, P R
Ferrari, A
Böhlen, T T
Jäkel, O
Parodi, K
Debus, J
Abdollahi, A
Haberer, T
description Treatment planning studies on the biological effect of raster-scanned helium ion beams should be performed, together with their experimental verification, before their clinical application at the Heidelberg Ion Beam Therapy Center (HIT). For this purpose, we introduce a novel calculation approach based on integrating data-driven biological models in our Monte Carlo treatment planning (MCTP) tool. Dealing with a mixed radiation field, the biological effect of the primary 4He ion beams, of the secondary 3He and 4He (Z  =  2) fragments and of the produced protons, deuterons and tritons (Z  =  1) has to be taken into account. A spread-out Bragg peak (SOBP) in water, representative of a clinically-relevant scenario, has been biologically optimized with the MCTP and then delivered at HIT. Predictions of cell survival and RBE for a tumor cell line, characterized by (α/β)ph=5.4 Gy, have been successfully compared against measured clonogenic survival data. The mean absolute survival variation (μΔS) between model predictions and experimental data was 5.3%  ±  0.9%. A sensitivity study, i.e. quantifying the variation of the estimations for the studied plan as a function of the applied phenomenological modelling approach, has been performed. The feasibility of a simpler biological modelling based on dose-averaged LET (linear energy transfer) has been tested. Moreover, comparisons with biophysical models such as the local effect model (LEM) and the repair-misrepair-fixation (RMF) model were performed. μΔS values for the LEM and the RMF model were, respectively, 4.5%  ±  0.8% and 5.8%  ±  1.1%. The satisfactorily agreement found in this work for the studied SOBP, representative of clinically-relevant scenario, suggests that the introduced approach could be applied for an accurate estimation of the biological effect for helium ion radiotherapy.
doi_str_mv 10.1088/0031-9155/61/11/4283
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A spread-out Bragg peak (SOBP) in water, representative of a clinically-relevant scenario, has been biologically optimized with the MCTP and then delivered at HIT. Predictions of cell survival and RBE for a tumor cell line, characterized by (α/β)ph=5.4 Gy, have been successfully compared against measured clonogenic survival data. The mean absolute survival variation (μΔS) between model predictions and experimental data was 5.3%  ±  0.9%. A sensitivity study, i.e. quantifying the variation of the estimations for the studied plan as a function of the applied phenomenological modelling approach, has been performed. The feasibility of a simpler biological modelling based on dose-averaged LET (linear energy transfer) has been tested. Moreover, comparisons with biophysical models such as the local effect model (LEM) and the repair-misrepair-fixation (RMF) model were performed. μΔS values for the LEM and the RMF model were, respectively, 4.5%  ±  0.8% and 5.8%  ±  1.1%. The satisfactorily agreement found in this work for the studied SOBP, representative of clinically-relevant scenario, suggests that the introduced approach could be applied for an accurate estimation of the biological effect for helium ion radiotherapy.</abstract><cop>England</cop><pub>IOP Publishing</pub><pmid>27203864</pmid><doi>10.1088/0031-9155/61/11/4283</doi><tpages>17</tpages></addata></record>
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source Institute of Physics Journals; MEDLINE
subjects Algorithms
Cell Line, Tumor
Cell Survival - radiation effects
experimental validation
hadron therapy
Helium - therapeutic use
helium ions
Humans
Radioisotopes - therapeutic use
Radiotherapy Planning, Computer-Assisted - methods
RBE calculations
Relative Biological Effectiveness
title Biologically optimized helium ion plans: calculation approach and its in vitro validation
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