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Abstract #4038

Modelling diffusion-weighted MRI data from primary and metastatic ovarian tumours

Jessica M Winfield 1 , Nandita M deSouza 1,2 , Andrew N Priest 3 , Jennifer C Wakefield 2 , Charlotte Hodgkin 3 , Susan Freeman 3 , Matthew R Orton 2 , and David J Collins 1,2

1 MRI, Royal Marsden Hospital, Sutton, Surrey, United Kingdom, 2 CRUK Cancer Imaging Centre, Institute of Cancer Research, Sutton, Surrey, United Kingdom, 3 Department of Radiology, Addenbrooke's Hospital, Cambridge, United Kingdom

Goodness-of-fit and repeatability of mono-exponential, stretched exponential and bi-exponential models of diffusion-weighted MRI data were assessed in 31 patients with primary and metastatic ovarian cancer scanned before and after chemotherapy. Coefficients of variation of repeated baseline measurements were used to assess repeatability of fitted parameters. Goodness-of-fit was assessed using the Akaike Information Criterion (AIC), which penalises additional parameters. Mono-exponential and stretched exponential models showed good repeatability (3 to 7 %) but the repeatability of the bi-exponential model was poor. After excluding the bi-exponential model, AIC analysis showed that the stretched exponential model was preferred in pre- and post-treatment data in all tumour sites.

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