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Abstract #2456

Kurtosis Analysis for DWI Improves Prediction of Short-Term Response in Head & Neck Cancer

Jacobus F. A. Jansen1, Yonggang Lu2, Hilda E. Stambuk2, Nancy Y. Lee2, Jason A. Koutcher2, Amita Shukla-Dave2

1Maastricht University Medical Center, Maastricht, Netherlands; 2MSKCC, NY, United States

The study aims to assess the added value of non-Gaussian analysis of diffusion weighted MR imaging (DWI) for the prediction of the short-term response to chemoradiation therapy in patients with advanced head and neck squamous cell carcinoma (HNSCC). Twenty-three patients were included, who all underwent a DWI protocol with 7 b-values at 1.5T. Non-Gaussian fitting was applied using the kurtosis model. DWI parameters derived from standard mono-exponential fitting and kurtosis analysis were evaluated for their efficacy in predicting short-term response using logistic regression analysis. The std(Dapp) was a significant predictor for short-term response, suggesting that non-Gaussian analysis provided a predictive biomarker.