Abstract #3922

Rectal cancer: multi-parametric MRI 3-dimensional assessment of intra-tumour heterogeneity and chemoradiotherapy response prediction

Trang Thanh Pham^1,2,3,4,5, Gary Liney^1,3,4, Karen Wong^1,3,4, Christopher Henderson^3,5,6, Robba Rai^1,3, Petra L Graham⁷, Malcolm Hudson^7,8, Nira Borok⁹, Minh Xuan Truong⁹, Mark Lee^1,3, Joo-Shik Shin⁶, and Michael B. Barton ^1,3,4

¹Radiation Oncology, Liverpool Cancer Therapy Centre, Liverpool Hospital, Sydney, Australia, ²Sydney West Radiation Oncology Network, Westmead, Blacktown and Nepean Hospitals, Sydney, Australia, ³Faculty of Medicine, University of New South Wales, Sydney, Australia, ⁴Ingham Institute for Applied Medical Research, Sydney, Australia, ⁵School of Medicine, Western Sydney University, Sydney, Australia, ⁶Anatomical Pathology, Liverpool Hospital, Sydney, Australia, ⁷Department of Statistics, Macquarie University, Sydney, Australia, ⁸NHMRC Clinical Trials Centre, Sydney, Australia, ⁹Radiology, Liverpool Hospital, Sydney, Australia

This study investigated 3D quantitative histogram assessment of diffusion weighted imaging (DWI) and dynamic contrast enhanced (DCE) MRI in the prediction of chemoradiotherapy (CRT) response in locally advanced rectal cancer. Histopathologic response assessment was centralised and defined according to AJCC tumour regression grade. A whole tumour histogram analysis and combined multiparametric scatterplots of ADC and Ktrans were used to assess tumour heterogeneity and prediction of CRT response. Post-CRT ADC 75th and 90th histogram quantiles were the most promising parameters for prediction of CRT response. However, DCE-MRI and multi-parametric scatterplots combining ADC and Ktrans did not add value in predicting response.

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

Join Here