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Evaluation of Radiographic Contrast-Induced Nephropathy by Functional Diffusion Weighted Imaging.

Thomas Andreas Thiel1, Julian Schweitzer2, Taogetu Xia3

  • 1Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich Heine University Dusseldorf, D-40225 Düsseldorf, Germany.

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Diffusion weighted (DWI) and diffusion tensor imaging (DTI) can detect early kidney changes in contrast-induced nephropathy (CIN) before serum markers rise. These advanced imaging techniques show microstructural renal alterations in high-risk patients.

Keywords:
CINDTIDWIfunctional renal imagingkidneyradiographic contrast medium

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Area of Science:

  • Nephrology
  • Radiology
  • Medical Imaging

Background:

  • Contrast-induced nephropathy (CIN) is a significant complication following radiographic contrast medium (XCM) administration.
  • CIN is characterized by elevated creatinine levels 48-72 hours post-XCM exposure.
  • Early detection of CIN is crucial for managing high-risk patients.

Purpose of the Study:

  • To evaluate microstructural renal changes associated with CIN using diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI).
  • To assess the utility of DWI/DTI in identifying CIN in patients undergoing cardiological interventions.

Main Methods:

  • Fifteen high-risk patients (5 CIN, 10 non-CIN) underwent pre- and post-intervention 3T MRI scans.
  • Renal DWI was performed using a paracoronal echo-planar-imaging sequence.
  • Serum creatinine and urinary injury markers were monitored alongside imaging.

Main Results:

  • The CIN group showed a decrease in cortical and medullary apparent diffusion coefficient (ADC) and fractional anisotropy (FA) post-XCM.
  • The non-CIN group exhibited only a change in medullary ADC.
  • These diffusion changes were detectable before alterations in serum kidney function parameters.

Conclusions:

  • DWI/DTI may serve as a valuable tool for monitoring high-risk CIN patients within a multi-modality clinical protocol.
  • Further research involving advanced diffusion signal analysis could enhance the identification of patients susceptible to CIN.