Abstract #2497

Histological validation of VERDICT cellularity map in a prostatectomy case

Joseph G Jacobs^1,2, Edward Johnston³, Alex Freeman⁴, Dominic Patel⁵, Manuel Rodriguez-Justo⁵, David Atkinson³, Shonit Punwani³, Gabriel Brostow², Daniel C Alexander^1,2, and Eleftheria Panagiotaki^1,2

¹Centre for Medical Image Computing, University College London, London, United Kingdom, ²Department of Computer Science, University College London, London, United Kingdom, ³Centre for Medical Imaging, University College London, London, United Kingdom, ⁴Department of Histopathology, University College London Hospitals NHS Foundation Trust (UCLH), University College London, London, United Kingdom, ⁵Department of Research Pathology, UCL Cancer Institute, University College London, London, United Kingdom

This study aims to validate the cellularity map produced by the VERDICT framework with histology. The VERDICT cellularity map is an indication of the number of cells present in each voxel in a diffusion-weighted MR (DW-MR) image. We attempt to validate this measure by comparing it with a cellularity map produced from a corresponding prostatectomy histological section. We find that the VERDICT cellularity map is able to differentiate between areas of tumour and benign tissue with statistical significance. This result demonstrates the potential of VERDICT as a method for non-invasive quantification of tumours.

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