Meeting Banner
Abstract #0292

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

Konstantinos Zormpas-Petridis1, Matthew D. Blackledge1, Louis Chesler2, Yinyin Yuan3, Simon P. Robinson1, and Yann Jamin1
1Radiotherapy and Imaging, Institute of Cancer Research, London, Sutton, United Kingdom, 2Clinical studies, Institute of Cancer Research, London, Sutton, United Kingdom, 3Molecular pathology, Institute of Cancer Research, London, Sutton, United Kingdom

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.

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here