Abstract

Motivation: To understand organ changes in multimorbidity (fibrosis in two or more organs). Goal(s): To use the MRI data in the UK Biobank (UKBB) to study multi-organ changes. Approach: An automated pipeline to analyse the UKBB kidney MRI data, including deep learning for kidney cortex and medulla segmentation from T1 maps, alongside segmentation of the liver, spleen and pancreas to assess their T1. Analysis of 500 healthy volunteers and 235 participants with kidney, pancreas and liver disease. Results: Multi-organ changes in addition to the primary diseased organ. For example, elevation in cortical T1 in kidney disease together with increased pancreatic and liver T1. Impact: The automated multi-organ analysis of abdominal MRI data to study multi-organ fibrosis. In the future, this will allow investigations related to the epidemiology, risk factors (genetic and environmental) and natural history of fibrotic multimorbidity.