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.