Multiparametric magnetic resonance imaging allows non-invasive functional and structural evaluation of diabetic kidney disease

Author:

Makvandi Kianoush1,Hockings Paul D23ORCID,Jensen Gert1,Unnerstall Tim4,Leonhardt Henrik4,Jarl Lisa V2,Englund Camilla2,Francis Susan5,Sundgren Anna K6,Hulthe Johannes2,Baid-Agrawal Seema17

Affiliation:

1. Department of Molecular and Clinical Medicine/Nephrology, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg , Gothenburg, Sweden

2. Antaros Medical , Molndal, Sweden

3. MedTech West, Chalmers University of Technology , Gothenburg, Sweden

4. Department of Radiology, Sahlgrenska University Hospital , Gothenburg, Sweden

5. Sir Peter Mansfield Imaging Centre, University of Nottingham , Nottingham, UK

6. Late-Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca , Gaithersburg, MD, USA

7. Transplant Center, Sahlgrenska University Hospital , Gothenburg, Sweden

Abstract

ABSTRACT Background We sought to develop a novel non-contrast multiparametric MRI (mpMRI) protocol employing several complementary techniques in a single scan session for a comprehensive functional and structural evaluation of diabetic kidney disease (DKD). Methods In the cross-sectional part of this prospective observational study, 38 subjects ages 18‒79 years with type 2 diabetes and DKD [estimated glomerular filtration rate (eGFR) 15‒60 mL/min/1.73 m2] and 20 age- and gender-matched healthy volunteers (HVs) underwent mpMRI. Repeat mpMRI was performed on 23 DKD subjects and 10 HVs. By measured GFR (mGFR), 2 DKD subjects had GFR stage G2, 16 stage G3 and 20 stage G4/G5. A wide range of MRI biomarkers associated with kidney haemodynamics, oxygenation and macro/microstructure were evaluated. Their optimal sensitivity, specificity and repeatability to differentiate diabetic versus healthy kidneys and categorize various stages of disease as well as their correlation with mGFR/albuminuria was assessed. Results Several MRI biomarkers differentiated diabetic from healthy kidneys and distinct GFR stages (G3 versus G4/G5); mean arterial flow (MAF) was the strongest predictor (sensitivity 0.94 and 1.0, specificity 1.00 and 0.69; P = .04 and .004, respectively). Parameters significantly correlating with mGFR were specific measures of kidney haemodynamics, oxygenation, microstructure and macrostructure, with MAF being the strongest univariate predictor (r = 0.92; P < .0001). Conclusions A comprehensive and repeatable non-contrast mpMRI protocol was developed that, as a single, non-invasive tool, allows functional and structural assessment of DKD, which has the potential to provide valuable insights into underlying pathophysiology, disease progression and analysis of efficacy/mode of action of therapeutic interventions in DKD.

Funder

Antaros Medical

AstraZeneca

Publisher

Oxford University Press (OUP)

Subject

Transplantation,Nephrology

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