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Abstract #0636

Separation of type and grade in cervical tumours using non-mono-exponential models of diffusion-weighted MRI

Jessica M Winfield 1 , Katherine Downey 2 , Matthew R Orton 2 , John H Shepherd 3 , Veronica A Morgan 1 , Sharon L Giles 1 , Thomas E J Ind 3 , and Nandita M deSouza 1,2

1 MRI Unit, Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom, 2 CRUK Cancer Imaging Centre, Institute of Cancer Research, Sutton, Surrey, United Kingdom, 3 Department of Gynecology, Royal Marsden NHS Foundation Trust, Sutton, Surrey, United Kingdom

The goodness-of-fit of mono-exponential, stretched exponential and bi-exponential models were compared in diffusion-weighted MRI data from cervical tumours in 20 patients. Models were compared using the Bayesian Information Criterion, which penalises additional parameters. Two-way analysis of variance was used to assess differences between types (squamous cell carcinoma and adenocarcinoma) and grades (well/moderately differentiated or poorly differentiated) of tumours for each fitted parameter. Stretched exponential and bi-exponential models were preferred over the mono-exponential model. The extra parameters, α or f, can be used to distinguish between squamous cell carcinoma and adenocarcinoma, while ADC or D distinguish between grades of tumours.

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