Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/35576
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dc.contributor.authorParente, Daniella Braz
dc.contributor.authorRodrigues, Rosana Souza
dc.contributor.authorPaiva, Fernando Fernandes
dc.contributor.authorOliveira Neto, Jaime Araújo
dc.contributor.authorMachado-Silva, Lilian
dc.contributor.authorLanzoni, Valeria
dc.contributor.authorCampos, Carlos Frederico Ferreira
dc.contributor.authorEiras-Araujo, Antonio Luis
dc.contributor.authorBrasil, Pedro Emmanuel Alvarenga Americano do
dc.contributor.authorGarteiser, Philippe
dc.contributor.authorGomes, Marilia de Brito
dc.contributor.authorPerez, Renata de Mello
dc.date.accessioned2019-09-13T14:44:42Z
dc.date.available2019-09-13T14:44:42Z
dc.date.issued2014
dc.identifier.citationPARENTE, Daniella Braz et al. Is MR spectroscopy really the best MR-based method for the evaluation of fatty liver in diabetic patients in clinical practice? Plos One, v. 9, n. 11, p. 1-9, 2014.
dc.identifier.issn1932-6203
dc.identifier.urihttps://www.arca.fiocruz.br/handle/icict/35576
dc.descriptionPedro Emmanuel Alvarenga Americano do Brasil. Fundação Oswaldo Cruz. Instituto Nacional de Infectologia Evandro Chagas. Documento produzido em parceria ou por autor vinculado à Fiocruz, mas não consta a informação no documento.
dc.language.isopor
dc.publisherPublic Library of Science
dc.rightsopen access
dc.titleIs MR spectroscopy really the best MR-based method for the evaluation of fatty liver in diabetic patients in clinical practice?
dc.typeArticle
dc.identifier.doi10.1371/journal.pone.0112574
dc.description.abstractenObjective: To investigate if magnetic resonance spectroscopy (MRS) is the best Magnetic Resonance (MR)-based method when compared to gradient-echo magnetic resonance imaging (MRI) for the detection and quantification of liver steatosis in diabetic patients in the clinical practice using liver biopsy as the reference standard, and to assess the influence of steatohepatitis and fibrosis on liver fat quantification. Methods: Institutional approval and patient consent were obtained for this prospective study. Seventy-three patients with type 2 diabetes (60 women and 13 men; mean age, 5469 years) underwent MRI and MRS at 3.0 T. The liver fat fraction was calculated from triple- and multi-echo gradient-echo sequences, and MRS data. Liver specimens were obtained in all patients. The accuracy for liver fat detection was estimated by receiver operator characteristic (ROC) analysis, and the correlation between fat quantification by imaging and histolopathology was analyzed by Spearman’s correlation coefficients. Results: The prevalence of hepatic steatosis was 92%. All gradient-echo MRI and MRS findings strongly correlated with biopsy findings (triple-echo, rho = 0.819; multi-echo, rho = 0.773; MRS, rho = 0.767). Areas under the ROC curves to detect mild, moderate, and severe steatosis were: triple-echo sequences, 0.961, 0.975, and 0.962; multi-echo sequences, 0.878, 0.979, and 0.961; and MRS, 0.981, 0.980, and 0.954. The thresholds for mild, moderate, and severe steatosis were: triple-echo sequences, 4.09, 9.34, and 12.34, multi-echo sequences, 7.53, 11.75, and 15.08, and MRS, 1.71, 11.69, and 14.91. Quantification was not significantly influenced by steatohepatitis or fibrosis. Conclusions: Liver fat quantification by MR methods strongly correlates with histopathology. Due to the wide availability and easier post-processing, gradient-echo sequences may represent the best imaging method for the detection and quantification of liver fat fraction in diabetic patients in the clinical practice.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil / Federal University of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil / Federal University of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil / University of São Paulo. Institute of Physics of São Carlos. São Carlos, RJ, Brazil.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationUniversity of the State of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationFederal University of São Paulo. São Paulo, SP, Brazil.
dc.creator.affilliationUniversity of the State of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil / Federal University of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationUniversité Paris Diderot Sorbonne. Paris, France.
dc.creator.affilliationUniversity of the State of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.creator.affilliationD'Or Institute for Research and Education. Rio de Janeiro, RJ, Brazil / Federal University of Rio de Janeiro. Rio de Janeiro, RJ, Brazil / University of the State of Rio de Janeiro. Rio de Janeiro, RJ, Brazil.
dc.subject.enMR spectroscopy
dc.subject.enFatty liver
dc.subject.enDiabetic patients
dc.identifier.eissn1932-6203
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