This study sought to assess the ability for voxel-wise MRI intensity values to distinguish between co-registered pathological annotations of autopsy tissue samples from brain cancer patients. Though single image and pairwise image assessments did not reveal separable intensity distributions for the pathological annotation classes, ensemble-based predictive modelling using multiparametric MRI intensities proved able to predict pathological annotations with modest accuracy. These results suggest a complex relationship between MRI values and pathological features that are most accurately assessed in terms of multiple MR imaging modalities.
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