Voxel-level logistic regression on combined photon-proton data yields a variable proton RBE of 1 + 0.10 * LETd and identifies elevated periventricular radiosensitivity as predictors of radiation-induced brain changes.
Direct optimization of the probability of lesion origin in proton treatment planning for low-grade glioma patients
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Combined photon-proton modeling of radiation-induced brain imaging changes supports variability in proton relative biological effectiveness and increased periventricular radiosensitivity
Voxel-level logistic regression on combined photon-proton data yields a variable proton RBE of 1 + 0.10 * LETd and identifies elevated periventricular radiosensitivity as predictors of radiation-induced brain changes.