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Abstract #2646

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

Trang Pham1,2,3, Michael Barton1,2,3, Dale Roach4, Karen Wong1,2,3, Daniel Moses2,5, Christopher Henderson2,6,7, Mark Lee1, Robba Rai1, Benjamin Schmitt8, and Gary Liney1,3,9,10

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 Ktrans of voxels to lower values compared to the pre-CRT. Multi-parametric histogram analysis of ADC and Ktrans 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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