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Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models

Chronic kidney disease (CKD) is common and has huge implications for health and mortality. It is aggravated by intrarenal fibrosis, but the assessment of fibrosis is limited to kidney biopsies, which carry a risk of complications and sampling errors. This calls for a noninvasive modality for diagnos...

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Autores principales: Rasmussen, Camilla W., Bøgh, Nikolaj, Bech, Sabrina K., Thorsen, Thomas H., Hansen, Esben S. S., Bertelsen, Lotte B., Laustsen, Christoffer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078455/
https://www.ncbi.nlm.nih.gov/pubmed/36151711
http://dx.doi.org/10.1002/nbm.4838
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author Rasmussen, Camilla W.
Bøgh, Nikolaj
Bech, Sabrina K.
Thorsen, Thomas H.
Hansen, Esben S. S.
Bertelsen, Lotte B.
Laustsen, Christoffer
author_facet Rasmussen, Camilla W.
Bøgh, Nikolaj
Bech, Sabrina K.
Thorsen, Thomas H.
Hansen, Esben S. S.
Bertelsen, Lotte B.
Laustsen, Christoffer
author_sort Rasmussen, Camilla W.
collection PubMed
description Chronic kidney disease (CKD) is common and has huge implications for health and mortality. It is aggravated by intrarenal fibrosis, but the assessment of fibrosis is limited to kidney biopsies, which carry a risk of complications and sampling errors. This calls for a noninvasive modality for diagnosing and staging intrarenal fibrosis. The current, exploratory study evaluates a multiparametric MRI protocol including sodium imaging ((23)Na‐MRI) to determine the opportunities within this modality to assess kidney injury as a surrogate endpoint of fibrosis. The study includes 43 pigs exposed to ischemia–reperfusion injury (IRI) or unilateral ureteral obstruction (UUO), or serving as healthy controls. Fibrosis was determined using gene expression analysis of collagen. The medulla/cortex ratio of (23)Na‐MRI decreased in the injured kidney in the IRI pigs, but not in the UUO pigs (p = 0.0180, p = 0.0754). To assess the combination of MRI parameters in estimating fibrosis, we created a linear regression model consisting of the cortical apparent diffusion coefficient, ΔR2*, ΔT1, the (23)Na medulla/cortex ratio, and plasma creatinine (R(2) = 0.8009, p = 0.0117). The (23)Na medulla/cortex ratio only slightly improved the fibrosis prediction model, leaving (23)Na‐MRI in an ambiguous place for evaluation of intrarenal fibrosis. Use of multiparametric MRI in combination with plasma creatinine shows potential for the estimation of fibrosis in human kidney disease, but more translational and clinical work is warranted before MRI can contribute to earlier diagnosis and evaluation of treatment for acute kidney injury and CKD.
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spelling pubmed-100784552023-04-07 Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models Rasmussen, Camilla W. Bøgh, Nikolaj Bech, Sabrina K. Thorsen, Thomas H. Hansen, Esben S. S. Bertelsen, Lotte B. Laustsen, Christoffer NMR Biomed Research Articles Chronic kidney disease (CKD) is common and has huge implications for health and mortality. It is aggravated by intrarenal fibrosis, but the assessment of fibrosis is limited to kidney biopsies, which carry a risk of complications and sampling errors. This calls for a noninvasive modality for diagnosing and staging intrarenal fibrosis. The current, exploratory study evaluates a multiparametric MRI protocol including sodium imaging ((23)Na‐MRI) to determine the opportunities within this modality to assess kidney injury as a surrogate endpoint of fibrosis. The study includes 43 pigs exposed to ischemia–reperfusion injury (IRI) or unilateral ureteral obstruction (UUO), or serving as healthy controls. Fibrosis was determined using gene expression analysis of collagen. The medulla/cortex ratio of (23)Na‐MRI decreased in the injured kidney in the IRI pigs, but not in the UUO pigs (p = 0.0180, p = 0.0754). To assess the combination of MRI parameters in estimating fibrosis, we created a linear regression model consisting of the cortical apparent diffusion coefficient, ΔR2*, ΔT1, the (23)Na medulla/cortex ratio, and plasma creatinine (R(2) = 0.8009, p = 0.0117). The (23)Na medulla/cortex ratio only slightly improved the fibrosis prediction model, leaving (23)Na‐MRI in an ambiguous place for evaluation of intrarenal fibrosis. Use of multiparametric MRI in combination with plasma creatinine shows potential for the estimation of fibrosis in human kidney disease, but more translational and clinical work is warranted before MRI can contribute to earlier diagnosis and evaluation of treatment for acute kidney injury and CKD. John Wiley and Sons Inc. 2022-10-25 2023-02 /pmc/articles/PMC10078455/ /pubmed/36151711 http://dx.doi.org/10.1002/nbm.4838 Text en © 2022 The Authors. NMR in Biomedicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Articles
Rasmussen, Camilla W.
Bøgh, Nikolaj
Bech, Sabrina K.
Thorsen, Thomas H.
Hansen, Esben S. S.
Bertelsen, Lotte B.
Laustsen, Christoffer
Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models
title Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models
title_full Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models
title_fullStr Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models
title_full_unstemmed Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models
title_short Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models
title_sort fibrosis imaging with multiparametric proton and sodium mri in pig injury models
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10078455/
https://www.ncbi.nlm.nih.gov/pubmed/36151711
http://dx.doi.org/10.1002/nbm.4838
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