Meeting Banner
Abstract #3114

Feasibility of VERDICT-MRI for non-invasive characterisation of rectal cancer microstructure

Maira Tariq1, Christopher Liao2, Elisenda Bonet-Carne1,3, Andrew A Plumb2, Manuel Rodriguez-Justo4, Daniel C Alexander1, Manish Chand2, David Atkinson3, and Eleftheria Panagiotaki 1

1Centre for Medical Image Computing, Department of Computer Science, University College London, London, United Kingdom, 2University College London Hospital, London, United Kingdom, 3Centre for Medical Imaging, University College London, London, United Kingdom, 4Department of Pathology, University College London Hospital, London, United Kingdom

This work evaluates the feasibility of in-vivo microstructure imaging for rectal cancer using the VERDICT MRI framework. We perform a model comparison to find the form of VERDICT that can describe the rich DW-MRI data. Preliminary results from two subjects show promise for non-invasive clinical rectal cancer characterisation. We find that a multi-compartment VERDICT model that explicitly models restriction explains the signal in the rectal tissue better than the conventional cancer models and shows plausible estimates of microstructure in the rectal cancer tissue. Future work will compare these findings with corresponding histology.

This abstract and the presentation materials are available to members only; a login is required.

Join Here