id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-102474-fmq98aa8	Gooding, K. M.	Prognostic Imaging Biomarkers for Diabetic Kidney Disease (iBEAt): Study protocol	2020-01-16		.txt	text/plain	5705	264	42	Embedded within iBEAT are ancillary substudies that will (1) validate imaging biomarkers against renal histopathology; (2) validate MRI based renal blood flow against water-labelled positron-emission tomography (PET); (3) develop machine-learning methods for automated processing of renal MRI images; (4) examine longitudinal changes in imaging biomarkers; (5) examine whether the glycocalyx, microvascular function and structure are associated with imaging biomarkers and eGFR decline; (6) a pilot study to examine whether the findings in T2D can be extrapolated to type 1 diabetes. The key hypotheses are that (1) imaging-based biomarkers of DKD provide additional information on the pathogenesis and histological and clinical heterogeneity of DKD compared to biomarkers sourced from samples or physical exams, and (2) that changes in imaging biomarkers precede increases in albuminuria and decline in kidney function as measured by eGFR.	./cache/cord-102474-fmq98aa8.txt	./txt/cord-102474-fmq98aa8.txt