Meeting Banner
Abstract #2527

Renal lipid content based on PDFF Imaging is a new potential biomarker for assessing early renal injury in patients with metabolic syndrome

Shisi Li1, Yanjun Chen1, Yingjie Mei2, Xianfu Mo1, Jialing Chen1, Yongqiang Li3, and Xiaodong Zhang1
1Department of Medical Imaging, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China, 2Philips Healthcare, Guangzhou, China, 3Department of Nephrology, The Third Affiliated Hospital of Southern Medical University (Academy of OrthopedicsĀ· Guangdong Province), Guangzhou, China

Renal fat content has been known as correlated with renal injury in type 2 diabetes. However, it is not clear the change of renal fat content in patients with metabolic syndrome (MS), which is a more popular disease threatened human health. In the present study, we assess the feasibility and reproducibility of renal fat fraction (FF) using PDFF imaging with MR mDixon-Quant sequence. And we aim to investigate the changes of renal FF in patients with MS, whose estimated glomerular filtration rate (eGFR) grade were G1(normal or elevated) and G2(mild decline) described in KDIGO (Kidney Disease: Improving Global Outcomes). In addition, we evaluate the correlation of renal FF and eGFR and the major factors of eGFR. The results show that with eGFR decreasing, renal FF in patients with MS-G2 group increased significantly compared with control and MS-G1 group. And the renal FF is an important affection factor of eGFR with a significant negative correlation. The noninvasive quantitative Dixon-based MRI may be a new biomarker for the evaluation of early renal impairment.

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

Join Here