Prediction of kidney function decline in patients with autosomal dominant polycystic kidney disease using radiomic features extracted from the non-cystic kidney parenchyma

Autosomal dominant polycystic kidney disease (ADPKD) is a hereditary kidney disease and is responsible for 10% of patients less than 65 years of age with end-stage kidney disease. ADPKD results in gradual enlargement of total kidney volume due to cyst growth over decades prior to decline in kidney function and kidney failure. The purpose of this work was (1) to determine whether radiomic features extracted from the non-cystic kidney parenchyma in baseline magnetic resonance imaging (MRI) scans reliably predict kidney function decline to chronic kidney disease stage 3A or greater at 60-months follow-up and (2) to determine whether radiomic features at 24-month and 48-month timepoints provide additional power in predicting kidney function decline versus baseline radiomic features alone. This is the first work to investigate the utility of MRI-based radiomic features extracted from the non-cystic kidney parenchyma in ADPKD to predict kidney function decline.