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000136861 0247_ $$2doi$$a10.1016/j.radonc.2018.01.018
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000136861 041__ $$aeng
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000136861 1001_ $$aGillmann, Clarissa$$b0
000136861 245__ $$aDose-response curves for MRI-detected radiation-induced temporal lobe reactions in patients after proton and carbon ion therapy: Does the same RBE-weighted dose lead to the same biological effect?
000136861 260__ $$aAmsterdam [u.a.]$$bElsevier Science$$c2018
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000136861 520__ $$aTo derive the dose-response curve for temporal lobe reactions (TLRs) after proton therapy and to compare the resulting relative biological effectiveness (RBE)-weighted tolerance doses based on an RBE of 1.1 with published values for carbon ions, which were calculated by the two versions of the local effect model (LEM I or IV).62 patients treated with protons for skull base tumors were analyzed for TLRs using magnetic resonance imaging. Within the mean follow-up time of 38 months, TLRs were observed in six patients. Dose-response curves based on the RBE-weighted maximum dose, excluding the 1 cm3-volume with the highest dose, were derived and compared to previously published dose-response curves for carbon ions, which were obtained using LEM I or IV, respectively.The dose-response curves for protons and LEM I were found to be almost identical while the curve of LEM IV was shifted toward higher doses. The resulting tolerance doses at the 5% effect level were 68.2+2.7-5.6, 68.6+3.0-3.9 and 78.3+3.8-5.0 Gy (RBE), respectively.The RBE-weighted dose prescription for protons leads to the same RBE-weighted dose-response curve for TLR as the one for LEM I-based carbon ions, while LEM IV predicts clinically significant higher tolerance doses.
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000136861 7001_ $$aLomax, Antony J$$b1
000136861 7001_ $$aWeber, Damien C$$b2
000136861 7001_ $$0P:(DE-He78)440a3f62ea9ea5c63375308976fc4c44$$aJäkel, Oliver$$b3$$udkfz
000136861 7001_ $$0P:(DE-He78)b43076fb0a30230e4323887c0c980046$$aKarger, Christian$$b4$$eLast author$$udkfz
000136861 773__ $$0PERI:(DE-600)1500707-8$$a10.1016/j.radonc.2018.01.018$$gVol. 128, no. 1, p. 109 - 114$$n1$$p109 - 114$$tRadiotherapy and oncology$$v128$$x0167-8140$$y2018
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