FMultifunctional magnetic resonance imaging for the assessment of renal pathological alterations in IgA nephropathy

Aiqun Chen1, Ban Zhao1, Ying Sun1

  • 1The Department of Nephrology, Beijing Hospital, National Center of Gerontology, National Clinical Research Center for Gerontology, The Key Laboratory of Geriatrics of NHC, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, NO.1 Da Hua Road, Dong Dan, Beijing, 100730, P. R. China.

BMC Nephrology
|June 4, 2026
PubMed
Abstract

Insights

Diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) show promise for assessing IgA nephropathy (IgAN) kidney damage. Medullary FA from DTI is a key biomarker for glomerulosclerosis, aiding in identifying moderate-to-severe disease.

Area of Science:

  • Nephrology
  • Radiology
  • Medical Imaging

Background:

  • IgA nephropathy (IgAN) is a common cause of chronic kidney disease.
  • Accurate assessment of renal histopathological injuries is crucial for IgAN management.
  • Non-invasive imaging biomarkers are needed for risk stratification in IgAN patients.

Purpose of the Study:

  • To evaluate the utility of multiparametric diffusion-weighted magnetic resonance imaging (MRI) in assessing renal histopathological injuries in IgAN patients.
  • To explore the application of intravoxel incoherent motion (IVIM), diffusion tensor imaging (DTI), and diffusion kurtosis imaging (DKI) for IgAN risk stratification.
  • To identify imaging predictors of glomerulosclerosis index (GSI) and tubulointerstitial fibrosis index (TBI) in IgAN.

Main Methods:

  • Prospective enrollment of 95 patients, with 31 confirmed IgAN cases analyzed.
  • Performance of IVIM, DTI, and DKI MRI sequences.
  • Renal biopsy within 3 days of MRI, with GSI and TBI assessed by blinded pathologists.

Main Results:

  • Significant correlations found between estimated glomerular filtration rate (eGFR), GSI, TBI, and various diffusion/kurtosis parameters.
  • Moderate-to-severe GSI/TBI groups showed decreased diffusion and increased kurtosis parameters compared to controls.
  • Medullary FA (DTI) emerged as an independent predictor of moderate-to-severe GSI, with combined clinical+DTI models showing high diagnostic efficacy (AUC=0.932).

Conclusions:

  • DTI and DKI provide valuable non-invasive information for assessing renal histopathological alterations in IgAN.
  • Medullary FA is a promising biomarker for glomerulosclerosis, useful in identifying moderate-to-severe disease when combined with clinical data.
  • Further validation in larger cohorts is warranted to confirm these findings.

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