Meeting Banner
Abstract #0137

A Quantitative, Multiparametric Method for Bone Edema and Adiposity Characterisation in Inflamed Trabecular Bone

Timothy JP Bray1, Naomi S Sakai1, Alexandra Dudek1, Kannan Rajesparan1, Corinne Fisher2, Coziana Ciurtin2, Debajit Sen2, Alan Bainbridge3, and Margaret A Hall-Craggs1

1Centre for Medical Imaging, University College London, London, United Kingdom, 2Arthritis Research UK Centre for Adolescent Rheumatology, University College London, London, United Kingdom, 3Magnetic Resonance Imaging Physics, University College London Hospitals, London, United Kingdom

MRI is increasingly used to identify and monitor inflammation in patients with inflammatory diseases involving the skeleton, such as spondyloarthritis. However, conventional image interpretation by radiologists provides only indirect information about the inflammatory process and lacks reproducibility. Here, we describe a partially-automated multiparametric MRI tool for quantifying and characterising both active and chronic inflammation in spondyloarthritis, relying on histographic analysis of apparent diffusion coefficient (ADC) and proton density fat fraction (PDFF) maps. We show that histographic analysis improves performance compared to simple averaging, and, further, that ADC and PDFF provide distinct, complementary information regarding active inflammation and structural damage respectively.

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

Join Here