Abstract #3114

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

Maira Tariq¹, Christopher Liao², Elisenda Bonet-Carne^1,3, 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.

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