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000129109 037__ $$aDKFZ-2017-05114
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000129109 1001_ $$aMairani, A.$$b0
000129109 245__ $$aBiologically optimized helium ion plans: calculation approach and its in vitro validation.
000129109 260__ $$aBristol$$bIOP Publ.$$c2016
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000129109 520__ $$aTreatment 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 (4)He ion beams, of the secondary (3)He and (4)He (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 [Formula: see text] Gy, have been successfully compared against measured clonogenic survival data. The mean absolute survival variation ([Formula: see text]) 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. [Formula: see text] 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.
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000129109 650_7 $$2NLM Chemicals$$aRadioisotopes
000129109 650_7 $$0206GF3GB41$$2NLM Chemicals$$aHelium
000129109 7001_ $$0P:(DE-He78)e24b607ded082a3089a1f6bf326a7a8e$$aDokic, Ivana$$b1$$udkfz
000129109 7001_ $$aMagro, G.$$b2
000129109 7001_ $$aTessonnier, T.$$b3
000129109 7001_ $$aKamp, F.$$b4
000129109 7001_ $$aCarlson, D. J.$$b5
000129109 7001_ $$aCiocca, M.$$b6
000129109 7001_ $$aCerutti, F.$$b7
000129109 7001_ $$aSala, P. R.$$b8
000129109 7001_ $$aFerrari, A.$$b9
000129109 7001_ $$aBöhlen, T. T.$$b10
000129109 7001_ $$0P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aJäkel, O.$$b11$$udkfz
000129109 7001_ $$0P:(DE-HGF)0$$aParodi, K.$$b12
000129109 7001_ $$0P:(DE-He78)8714da4e45acfa36ce87c291443a9218$$aDebus, J.$$b13$$udkfz
000129109 7001_ $$0P:(DE-He78)360c5bc2b71a849e35aca747c041dda7$$aAbdollahi, A.$$b14$$udkfz
000129109 7001_ $$aHaberer, T.$$b15
000129109 773__ $$0PERI:(DE-600)1473501-5$$a10.1088/0031-9155/61/11/4283$$gVol. 61, no. 11, p. 4283 - 4299$$n11$$p4283 - 4299$$tPhysics in medicine and biology$$v61$$x1361-6560$$y2016
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