Abstract #1747

Predicting Lesion Subtype and Response to Chemotherapy in Paediatric Wilms Tumours Using ADC Histogram Analysis

Patrick W. Hales¹, ystein E. Olsen², Neil J. Sebire³, Christopher A. Clark¹

¹Imaging and Biophysics, University College London, London, United Kingdom; ²Radiology Department, Great Ormond Street Hospital, London, United Kingdom; ³Histopathology Department, Great Ormond Street Hospital, London, United Kingdom

We investigated whether properties of the histogram of ADC values within a Wilms tumour, obtained from diffusion weighted imaging (DWI) at presentation, could be used to predict the histologically-determined tumour subtype, and response to chemotherapy. Median, skewness, kurtosis and full width at half maximum of the ADC histogram were used in a multinomial logistic regression model, to discriminate three tumour subtypes (stromal, blastemal, mixed), with 91% accuracy. The same parameters showed good predictive power when used in a multiple linear regression model, to predict the tumours response to chemotherapy, assessed by either change in volume, or shift in ADC.