Meeting Banner
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.