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Abstract #2910

The role of ADC histogram analysis in discriminating between benign and malignant tumours in children

Karen Angela Manias1,2, Niloufar Zarinabad1, Emma Meeus1, Katharine Foster3, Paul Davies1, Jan Novak1, and Andrew Charles Peet1,2

1Institute of Cancer and Genomic Sciences, University of Birmingham, Birmingham, United Kingdom, 2Department of Paediatric Oncology, Birmingham Children's Hospital, Birmingham, United Kingdom, 3Department of Paediatric Radiology, Birmingham Children's Hospital, Birmingham, United Kingdom

We evaluated histogram analysis of ADC maps to differentiate benign from malignant solid paediatric tumours in children and distinguish tumour type. Fifty children (38 malignant, 12 benign tumours) were imaged using multi-b value diffusion-weighted MRI at diagnosis. Whole tumour regions-of-interest (ROIs) were drawn, ADC histograms constructed, and median, 2nd to 98th percentile ADC values, skewness, kurtosis and entropy calculated. ADC histogram parameters were significantly different between malignant and benign lesions, with skewness and kurtosis being the most predictive of malignancy.

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