Meeting Banner
Abstract #2363

Characterising early stage cervical cancer using radiomic features derived from T2- and diffusion-weighted images: a potential prognostic tool in surgical management?

Ben Wormald1,2, Simon Doran1, James D'Arcy1, James Petts1, Thomas Ind3,4, and Nandita M deSouza1,2

1Cancer Research UK Imaging Centre, The Institute of Cancer Research, Sutton, United Kingdom, 2MRI Unit, The Royal Marsden Hospital NHS Foundation Trust, Sutton, United Kingdom, 3Gynaecology Unit, The Royal Marsden Hospital NHS Foundation Trust, London, United Kingdom, 4Gynaecology, St. Georges University Hospital, London, United Kingdom

Radiomic features were compared between cervical tumors below and above the volume threshold of eligibility for trachelectomy (< or >4 cm3) to determine their potential prognostic value. Textural feature differences between smaller and larger tumors were similar for both the T2-W and the ADC data. Homogeneity and Energy were increased and Entropy, Contrast and Cluster Prominence decreased in larger tumors. This may reflect the transition from a mixed morphology (tumor elements interspersed with normal glands and stroma) in smaller tumors to more homogenous sheets of malignant cells as tumors increase in size and de-differentiate.

This abstract and the presentation materials are available to members only; a login is required.

Join Here