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T2-Weighted Imaging and Intravoxel Incoherent Motion for Monitoring Glomerulonephritis.

Jian Liu1,2,3, Yu Wu3, Daoyu Yang2

  • 1Key Laboratory of Advanced Medical Imaging and Intelligent Computing of Guizhou Province, Engineering Research Center of Text Computing and Cognitive Intelligence, Ministry of Education, State Key Laboratory of Public Big Data, College of Computer Science and Technology, Guizhou University, Guiyang, Guizhou, China.

Journal of Magnetic Resonance Imaging : JMRI
|September 24, 2025
PubMed
Summary

Intravoxel incoherent motion (IVIM) imaging and T2-weighted imaging (T2WI) can noninvasively monitor kidney injury in rats with glomerulonephritis (GN). IVIM parameters accurately track disease progression and distinguish GN from controls.

Keywords:
T2‐weighted imagingglomerulonephritisintravoxel incoherent motionnoninvasivesignal intensity

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Area of Science:

  • Nephrology
  • Radiology
  • Biomedical Imaging

Background:

  • Glomerulonephritis (GN) is a major cause of chronic kidney disease.
  • Lack of reliable noninvasive diagnostic tools hinders timely GN management.

Purpose of the Study:

  • To validate intravoxel incoherent motion (IVIM) imaging and T2-weighted imaging (T2WI) for monitoring renal injury in a rat model of GN.

Main Methods:

  • Prospective animal study using 81 Sprague-Dawley rats (54 GN, 27 control) with serial renal MRI at 3.0T.
  • IVIM parameters (D, D*, f) and T2WI standardized signal intensities (SSI) were calculated and correlated with histology.
  • Statistical analysis included ANOVA, t-tests, and ROC curve analysis to assess diagnostic performance.

Main Results:

  • T2WI showed early signal increases in the outer medulla of GN rats.
  • IVIM parameter D progressively declined in the cortex and outer medulla of GN rats throughout the study.
  • IVIM parameters showed significant inverse correlations with serum biomarkers and high diagnostic accuracy for identifying GN.

Conclusions:

  • T2WI detects early signal changes in GN.
  • IVIM parameters effectively track glomerulonephritis progression, correlate with biomarkers, and differentiate GN from healthy controls noninvasively.