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Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
Published on: June 23, 2015
Multiparametric MR Imaging for Detecting Early Chronic Kidney Disease and Grading Chronic Pathological Changes
Chengli Gu1, Aoran Yang1,2, Yang Zheng1
1Department of Radiology, Shengjing Hospital, China Medical University, Shenyang, Liaoning Province, China.
Journal of Magnetic Resonance Imaging : JMRI
|August 6, 2026
Summary
3D MR elastography (3D-MRE) effectively detects early chronic kidney disease (CKD) and assesses disease severity, outperforming standard eGFR markers. This noninvasive technique shows promise for improved CKD monitoring.
Area of Science:
- Medical Imaging
- Nephrology
- Biophysics
Background:
- Conventional markers like eGFR miss early kidney injury in chronic kidney disease (CKD).
- Renal biopsy is invasive, hindering longitudinal monitoring.
- Noninvasive methods for early CKD detection and chronicity assessment are needed.
Purpose of the Study:
- To assess 3D MR elastography (3D-MRE), ASL, and IVIM-DWI for early CKD detection.
- To evaluate these techniques for grading chronic kidney changes.
Main Methods:
- Prospective study including 96 CKD patients and 30 healthy controls.
- Utilized 3.0T MRI with multifrequency 3D MRE, pCASL, and multi-b-value IVIM-DWI.
- Statistical analysis included logistic regression and ROC curve analysis.
Main Results:
- Combined renal stiffness (ERS@90) and diffusion coefficient (D) best distinguished controls from early CKD (AUC=0.87).
- ERS@90 independently identified moderate-to-severe chronic changes in early CKD (AUC=0.86).
- Both metrics significantly outperformed eGFR in diagnostic accuracy.
Conclusions:
- 3D-MRE demonstrates potential for noninvasive early CKD detection.
- 3D-MRE can identify moderate-to-severe chronic kidney disease changes.
- This technique offers a promising alternative to invasive methods for CKD assessment.
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