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Purpose While radiomics feature values can differ when extracted using different radiomics software, the effects of these variations when applied to a particular clinical task are currently unknown. The goal of our study was to use various radiomics software packages to classify patients with radiation pneumonitis (RP) and to quantify the variation in classification ability among packages. Approach A database of serial thoracic computed tomography scans was obtained from 105 patients with esophageal cancer. Patients were treated with radia