Evaluating the sensitivity of ADC to childhood neuroblastoma pathology in vivo using Gaussian mixture modeling and computational pathology

We use Gaussian mixture modeling, computational pathology and MRI-histopathology registered datasets to evaluate i) the sensitivity of diffusion-weighted imaging to the rich histopathology of childhood neuroblastoma and ii) the sensitivity of the derived apparent diffusion coefficient, ADC, as a biomarker of response to a potent MYCN-targeted small molecule inhibitor in the Th-MYCN mouse, a faithful model of high-risk MYCN-driven disease.