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Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients

BACKGROUND: Iron overload, diagnosed by means of magnetic resonance imaging (MRI), is an increasingly recognized disorder in hemodialysis patients. Specific MRI protocols have been shown to provide a reliable estimation of tissue iron content in non-renal patient populations but have not been valida...

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Autores principales: Rostoker, Guy, Laroudie, Mireille, Blanc, Raphaël, Galet, Bernard, Rabaté, Clémentine, Griuncelli, Mireille, Cohen, Yves
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220226/
https://www.ncbi.nlm.nih.gov/pubmed/28124030
http://dx.doi.org/10.1016/j.heliyon.2016.e00226
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author Rostoker, Guy
Laroudie, Mireille
Blanc, Raphaël
Galet, Bernard
Rabaté, Clémentine
Griuncelli, Mireille
Cohen, Yves
author_facet Rostoker, Guy
Laroudie, Mireille
Blanc, Raphaël
Galet, Bernard
Rabaté, Clémentine
Griuncelli, Mireille
Cohen, Yves
author_sort Rostoker, Guy
collection PubMed
description BACKGROUND: Iron overload, diagnosed by means of magnetic resonance imaging (MRI), is an increasingly recognized disorder in hemodialysis patients. Specific MRI protocols have been shown to provide a reliable estimation of tissue iron content in non-renal patient populations but have not been validated in dialysis patients. Such validation studies require liver biopsy for histological comparison, but this invasive and risky procedure raises ethical concerns, especially regarding frail patients with end-stage renal disease. MATERIALS AND METHODS: We compared in a pilot study Scheuer’s histological classification and Deugnier and Turlin’s histological classification of iron overload (Perls staining) with signal-intensity-ratio MRI values obtained with the Rennes University algorithm in 11 hemodialysis patients in whom liver biopsy was formally indicated for their medical follow-up. RESULTS: For Scheuer’s histological classification, the Wilcoxon non-parametric matched-pairs test showed no significant difference in the ranking of iron overload by the two methods eg histology and MRI (sum of ranks = 1.5; p = 1). The MRI and Scheuer’s histological classifications were tightly correlated (rho = 0.866, p = 0.0035, Spearman’s coefficient), as were the absolute liver iron concentrations (LIC) at MRI (rho = 0.860, p = 0.0013, Spearman’s coefficient). The absolute liver iron concentrations at MRI were also highly correlated with Deugnier and Turlin’s histological scoring (rho = 0.841, p = 0.0033, Spearman’s coefficient). CONCLUSIONS: This pilot study shows that liver iron determination based on signal-intensity-ratio MRI (Rennes University algorithm) very accurately identifies iron load in hemodialysis patients, by comparison with liver histology.
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spelling pubmed-52202262017-01-25 Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients Rostoker, Guy Laroudie, Mireille Blanc, Raphaël Galet, Bernard Rabaté, Clémentine Griuncelli, Mireille Cohen, Yves Heliyon Article BACKGROUND: Iron overload, diagnosed by means of magnetic resonance imaging (MRI), is an increasingly recognized disorder in hemodialysis patients. Specific MRI protocols have been shown to provide a reliable estimation of tissue iron content in non-renal patient populations but have not been validated in dialysis patients. Such validation studies require liver biopsy for histological comparison, but this invasive and risky procedure raises ethical concerns, especially regarding frail patients with end-stage renal disease. MATERIALS AND METHODS: We compared in a pilot study Scheuer’s histological classification and Deugnier and Turlin’s histological classification of iron overload (Perls staining) with signal-intensity-ratio MRI values obtained with the Rennes University algorithm in 11 hemodialysis patients in whom liver biopsy was formally indicated for their medical follow-up. RESULTS: For Scheuer’s histological classification, the Wilcoxon non-parametric matched-pairs test showed no significant difference in the ranking of iron overload by the two methods eg histology and MRI (sum of ranks = 1.5; p = 1). The MRI and Scheuer’s histological classifications were tightly correlated (rho = 0.866, p = 0.0035, Spearman’s coefficient), as were the absolute liver iron concentrations (LIC) at MRI (rho = 0.860, p = 0.0013, Spearman’s coefficient). The absolute liver iron concentrations at MRI were also highly correlated with Deugnier and Turlin’s histological scoring (rho = 0.841, p = 0.0033, Spearman’s coefficient). CONCLUSIONS: This pilot study shows that liver iron determination based on signal-intensity-ratio MRI (Rennes University algorithm) very accurately identifies iron load in hemodialysis patients, by comparison with liver histology. Elsevier 2017-01-05 /pmc/articles/PMC5220226/ /pubmed/28124030 http://dx.doi.org/10.1016/j.heliyon.2016.e00226 Text en © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Rostoker, Guy
Laroudie, Mireille
Blanc, Raphaël
Galet, Bernard
Rabaté, Clémentine
Griuncelli, Mireille
Cohen, Yves
Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients
title Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients
title_full Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients
title_fullStr Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients
title_full_unstemmed Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients
title_short Signal-intensity-ratio MRI accurately estimates hepatic iron load in hemodialysis patients
title_sort signal-intensity-ratio mri accurately estimates hepatic iron load in hemodialysis patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5220226/
https://www.ncbi.nlm.nih.gov/pubmed/28124030
http://dx.doi.org/10.1016/j.heliyon.2016.e00226
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