Abstract: TH-PO405
Evaluation of Kidney Fibrosis Based on Imaging and Histologic Analysis
Session Information
- CKD: Risk Scores and Translational Epidemiology
November 07, 2019 | Location: Exhibit Hall, Walter E. Washington Convention Center
Abstract Time: 10:00 AM - 12:00 PM
Category: CKD (Non-Dialysis)
- 2101 CKD (Non-Dialysis): Epidemiology, Risk Factors, and Prevention
Authors
- Zhang, Jiong, National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
- Xiong, Tang, Nangjin University, Nanjing, JIANGSU , China
- Liu, Xiaoshuang, Ping An Health Technology, Beijing, China
- Zhang, Long jiang, Jinling Hospital, Nanjing, China
- Liu, Zhihong, National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
Background
Increased institial extracellular matrix (EM) and peritubular capillary (PTC) dropout are two key pathologic features of the fibrosing kidney. There is absence of multiple dimensional pictures to show fibrotic kidney from function, imaging and morphology.
Methods
We derived a represented model for EM ratio and PTC densities using intravoxelincoherent motion diffusion weighted imaging (IVIM-DWI), magnetic resonance elastography (MRE) and glomerular filtration rate (estimate GFR). 97 patients with chronic kidney diseases from stage 1 to 4 were studied. EM ratio and kidney microcirculation were evaluated by pathology. A multi-dimensions perspective and relationship of kidney fibrosis based on histology, imaging and GFR were established. Multiple linear regression models were performed.
Results
The cortex EM ratios were linear with the nature logarithm of MRE and eGFR, which were both negatively associated with EM ratios. The best fitted model was as below:
EM ratio=218.504-14.651×In(MRE)-18.499×In(eGFR)
The lower of eGFR and MRE, there were higher of CEMR (Figure 1).
The PTC densities were linear with DWI-Fraction and eGFR, which were both positively related with PTC. The best fitted model was as below:
PTC density=17.914+9.403×(DWI-Fraction)+0.112×eGFR
The lower of eGFR and DWI-Fraction, there were lower of PTC (Figure 2).
Conclusion
Our study firstly provides histological evidences to support that IVIM-DWI and MRE can effectively evaluate the EM ratio and PTC density. These findings delineate the multi-dimensional picture of kidney fibrosis.