Supplementary Material 1. Median and range for the dose-volume histogram metricsSupplementary Material 2. The Spearman correlation coefficients between the RILI of acute and late phase CT and dosimetr
Background: To identify predictive factors for the development of late grade 4 mucosal ulcers in adaptive dose-escalated treatments for head-and-neck cancer. Material and methods: Patien
Comprehensive MATLAB-based file for DVHs analysis, dose distributions, dose wash demonstrations, and full dose values to be included with PLOS ONE submission as supporting information.
Additional file 2: Parallel slopes model: effect of clinically relevant predictors on dose-volume metrics deviation from planned, estimation of per-patient intercepts and overall regression coefficien
Supplementary Material 1. Median and range for the dose-volume histogram metricsSupplementary Material 2. The Spearman correlation coefficients between the RILI of acute and late phase CT and dosimetr