A new technique with high reproducibility to estimate renal oxygenation using BOLD-MRI in chronic kidney disease

Maciej Piskunowicz, Lucie Hofmann, Emilie Zuercher, Isabelle Bassi, Bastien Milani, Matthias Stuber, Krzysztof Narkiewicz, Bruno Vogt, Michel Burnier, Menno Pruijm

Research output: Contribution to journalArticlepeer-review

Abstract

Objectives: To assess inter-observer variability of renal blood oxygenation level-dependent MRI (BOLD-MRI) using a new method of analysis, called the concentric objects (CO) technique, in comparison with the classical ROI (region of interest)-based technique. Methods: MR imaging (3T) was performed before and after furosemide in 10 chronic kidney disease (CKD) patients (mean eGFR 43±24ml/min/1.73m2) and 10 healthy volunteers (eGFR 101±28ml/min1.73m2), and R2* maps were determined on four coronal slices. In the CO-technique, R2* values were based on a semi-automatic procedure that divided each kidney in six equal layers, whereas in the ROI-technique, all circles (ROIs) were placed manually in the cortex and medulla. The mean R2* values as assessed by two independent investigators were compared. Results: With the CO-technique, inter-observer variability was 0.7%-1.9% across all layers in non-CKD, versus 1.6%-3.8% in CKD. With the ROI-technique, median variability for cortical and medullary R2* values was 3.6 and 6.8% in non-CKD, versus 4.7 and 12.5% in CKD; similar results were observed after furosemide. Conclusion: The CO-technique offers a new, investigator-independent, highly reproducible alternative to the ROI-based technique to estimate renal tissue oxygenation in CKD.

Original languageEnglish (US)
Pages (from-to)253-261
Number of pages9
JournalMagnetic Resonance Imaging
Volume33
Issue number3
DOIs
StatePublished - Apr 1 2015

Keywords

  • BOLD-MRI
  • Chronic kidney disease
  • Concentric objects
  • Furosemide
  • Imaging analysis
  • Onion peel technique
  • Region of interest
  • Reproducibility

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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