Abstract #2646

Multi-parametric MRI at 3.0 Tesla for the Prediction of Treatment Response in Rectal Cancer

Trang Pham^1,2,3, Michael Barton^1,2,3, Dale Roach⁴, Karen Wong^1,2,3, Daniel Moses^2,5, Christopher Henderson^2,6,7, Mark Lee¹, Robba Rai¹, Benjamin Schmitt⁸, and Gary Liney^1,3,9,10

¹Radiation Oncology, Liverpool Hospital, Sydney, Australia, ²Faculty of Medicine, University of New South Wales, Sydney, Australia, ³Ingham Institute for Applied Medical Research, Sydney, Australia, ⁴Faculty of Physics, University of Sydney, Sydney, Australia, ⁵Radiology, Prince of Wales Hospital, Sydney, Australia, ⁶Anatomical Pathology, Liverpool Hospital, Sydney, Australia, ⁷Faculty of Medicine, Western Sydney University, Sydney, Australia, ⁸Siemens Healthcare Pty Ltd, Sydney, Australia, ⁹Faculty of Radiation and Medical Physics, University of Wollongong, Wollongong, Australia, ¹⁰University of New South Wales, Sydney, Australia

A complete protocol using quantitative diffusion weighted imaging (DWI) and dynamic contrast enhanced (DCE) imaging in combination, and a voxel-by-voxel histogram analysis strategy was successfully developed for multi-parametric MRI prediction of treatment response in rectal cancer. In good responders, the week 3 histograms showed a combined shift in distribution of ADC of voxels to higher values and K^trans of voxels to lower values compared to the pre-CRT. Multi-parametric histogram analysis of ADC and K^trans appears to be a promising and feasible method of assessing tumour heterogeneity and its changes in response to CRT in rectal cancer.

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