دورية أكاديمية
Multiparametric magnetic resonance imaging allows non-invasive functional and structural evaluation of diabetic kidney disease.
العنوان: | Multiparametric magnetic resonance imaging allows non-invasive functional and structural evaluation of diabetic kidney disease. |
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المؤلفون: | Makvandi K; Department of Molecular and Clinical Medicine/Nephrology, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Hockings PD; Antaros Medical, Molndal, Sweden., Jensen G; Department of Molecular and Clinical Medicine/Nephrology, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden., Unnerstall T; Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden., Leonhardt H; Department of Radiology, Sahlgrenska University Hospital, Gothenburg, Sweden., Jarl LV; Antaros Medical, Molndal, Sweden., Englund C; Antaros Medical, Molndal, Sweden., Francis S; Sir Peter Mansfield Imaging Centre, University of Nottingham, Nottingham, UK., Sundgren AK; Late-Stage Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gaithersburg, MD, USA., Hulthe J; Antaros Medical, Molndal, Sweden., Baid-Agrawal S; Department of Molecular and Clinical Medicine/Nephrology, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden. |
المصدر: | Clinical kidney journal [Clin Kidney J] 2022 Feb 24; Vol. 15 (7), pp. 1387-1402. Date of Electronic Publication: 2022 Feb 24 (Print Publication: 2022). |
نوع المنشور: | Journal Article |
اللغة: | English |
بيانات الدورية: | Publisher: Oxford University Press Country of Publication: England NLM ID: 101579321 Publication Model: eCollection Cited Medium: Print ISSN: 2048-8505 (Print) Linking ISSN: 20488505 NLM ISO Abbreviation: Clin Kidney J Subsets: PubMed not MEDLINE |
أسماء مطبوعة: | Original Publication: Oxford : Oxford University Press |
مستخلص: | 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. (© The Author(s) 2022. Published by Oxford University Press on behalf of the ERA.) |
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فهرسة مساهمة: | Keywords: biomarkers; chronic kidney disease; diabetic kidney disease; magnetic resonance imaging (MRI); multiparametric |
تواريخ الأحداث: | Date Created: 20220627 Latest Revision: 20220716 |
رمز التحديث: | 20240628 |
مُعرف محوري في PubMed: | PMC9217657 |
DOI: | 10.1093/ckj/sfac054 |
PMID: | 35756740 |
قاعدة البيانات: | MEDLINE |
تدمد: | 2048-8505 |
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DOI: | 10.1093/ckj/sfac054 |