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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