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  • Makvandi, KianoushGothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,University of Gothenburg (author)

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

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-02-24
  • Oxford University Press (OUP),2022

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  • LIBRIS-ID:oai:gup.ub.gu.se/319070
  • https://gup.ub.gu.se/publication/319070URI
  • https://doi.org/10.1093/ckj/sfac054DOI
  • https://research.chalmers.se/publication/530217URI

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  • Language:English

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  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

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  • 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 m(2)] 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.

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  • Hockings, Paul,1956Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)hockings (author)
  • Jensen, Gert,1950Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,University of Gothenburg(Swepub:gu)xjenge (author)
  • Unnerstall, T.Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital (author)
  • Leonhardt, H.Sahlgrenska universitetssjukhuset,Sahlgrenska University Hospital (author)
  • Jarl, L. V.Antaros Medical AB (author)
  • Englund, C.Antaros Medical AB (author)
  • Francis, S.University Of Nottingham (author)
  • Sundgren, A. K.AstraZeneca AB (author)
  • Hulthe, J.Antaros Medical AB (author)
  • Baid-Agrawal, Seema,1966Gothenburg University,Göteborgs universitet,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Institute of Medicine, Department of Molecular and Clinical Medicine,University of Gothenburg(Swepub:gu)xbaise (author)
  • Göteborgs universitetInstitutionen för medicin, avdelningen för molekylär och klinisk medicin (creator_code:org_t)

Related titles

  • In:Clinical Kidney Journal: Oxford University Press (OUP)15:7, s. 1387-14022048-85052048-8513

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