Multiparametric MR Imaging for Evaluating Renal Function and Microstructure

Akira Yamamoto1, Yu Ueda2, Hideki Kagioka1

  • 1Department of Radiology, Kawasaki Medical School, Kurashiki Okayama, Japan.

Insights

Functional renal MRI offers a noninvasive way to assess chronic kidney disease (CKD) and diabetic kidney disease (DKD). Multiparametric MRI techniques show promise for evaluating kidney microstructure and predicting disease progression, complementing traditional biomarkers.

Area of Science:

  • Nephrology
  • Radiology
  • Biomedical Engineering

Background:

  • Chronic kidney disease (CKD) is a significant global health issue with diverse causes.
  • Current biomarkers like serum creatinine and eGFR may not detect early CKD or correlate with structural damage.
  • Diabetic kidney disease (DKD) presents complex pathophysiology that challenges conventional assessment.

Purpose of the Study:

  • To provide a comprehensive review of multiparametric MRI techniques for evaluating renal microstructure and physiology in CKD.
  • To highlight the potential of functional renal MRI as a noninvasive tool for assessing kidney health.
  • To discuss the role of MRI in risk stratification and understanding DKD.

Main Methods:

  • Overview of various MRI techniques: T1/T2 mapping, BOLD MRI, diffusion-based methods (ADC, DTI, IVIM), and arterial spin labeling.
  • Focus on multiparametric approaches and integrative features like corticomedullary differentiation (CMD).
  • Discussion of noncontrast SSFP with multi-TI for CMD assessment.

Main Results:

  • Many MRI-derived metrics correlate with kidney function (eGFR).
  • Diffusion indices, especially cortical ADC, show potential for predicting subsequent eGFR decline.
  • Multiparametric MRI may offer added value in complex cases like DKD.

Conclusions:

  • Functional renal MRI is a promising noninvasive method for assessing CKD and DKD.
  • MRI-derived metrics, particularly diffusion indices, may aid in progression-risk assessment.
  • Standardization, quality control, and multicenter validation are crucial for clinical translation.

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