Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?

Detalhes bibliográficos
Autor(a) principal: Parente, Daniella Braz
Data de Publicação: 2014
Outros Autores: Rodrigues, Rosana Souza, Paiva, Fernando Fernandes, Oliveira Neto, Jaime Araujo, Machado-Silva, Lilian, Lanzoni, Valeria [UNIFESP], Ferreira Campos, Carlos Frederico, Eiras-Araujo, Antonio Luis, Alvarenga Americano do Brasil, Pedro Emmanuel, Garteiser, Philippe, Gomes, Marilia de Brito, Perez, Renata de Mello
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNIFESP
Texto Completo: http://dx.doi.org/10.1371/journal.pone.0112574
http://repositorio.unifesp.br/handle/11600/38469
Resumo: Objective: 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.
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spelling Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?Objective: 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.DOr Inst Res & Educ, Rio de Janeiro, BrazilUniv Fed Rio de Janeiro, Rio de Janeiro, BrazilUniv Estado Rio de Janeiro, Rio de Janeiro, BrazilUniv São Paulo, Inst Phys Sao Carlos, Sao Carlos, SP, BrazilUniversidade Federal de São Paulo, São Paulo, BrazilUniv Paris Diderot Sorbonne, Paris, FranceUniversidade Federal de São Paulo, São Paulo, BrazilWeb of ScienceD'Or Institute for Research and EducationFundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)Public Library ScienceDOr Inst Res & EducUniversidade Federal do Rio de Janeiro (UFRJ)Universidade do Estado do Rio de Janeiro (UERJ)Universidade de São Paulo (USP)Universidade Federal de São Paulo (UNIFESP)Univ Paris Diderot SorbonneParente, Daniella BrazRodrigues, Rosana SouzaPaiva, Fernando FernandesOliveira Neto, Jaime AraujoMachado-Silva, LilianLanzoni, Valeria [UNIFESP]Ferreira Campos, Carlos FredericoEiras-Araujo, Antonio LuisAlvarenga Americano do Brasil, Pedro EmmanuelGarteiser, PhilippeGomes, Marilia de BritoPerez, Renata de Mello2016-01-24T14:38:12Z2016-01-24T14:38:12Z2014-11-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion9application/pdfhttp://dx.doi.org/10.1371/journal.pone.0112574Plos One. San Francisco: Public Library Science, v. 9, n. 11, 9 p., 2014.10.1371/journal.pone.0112574WOS000349145400018.pdf1932-6203http://repositorio.unifesp.br/handle/11600/38469WOS:000349145400018engPlos Oneinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UNIFESPinstname:Universidade Federal de São Paulo (UNIFESP)instacron:UNIFESP2024-08-01T06:24:59Zoai:repositorio.unifesp.br/:11600/38469Repositório InstitucionalPUBhttp://www.repositorio.unifesp.br/oai/requestbiblioteca.csp@unifesp.bropendoar:34652024-08-01T06:24:59Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)false
dc.title.none.fl_str_mv Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
title Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
spellingShingle Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
Parente, Daniella Braz
title_short Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
title_full Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
title_fullStr Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
title_full_unstemmed Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
title_sort Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
author Parente, Daniella Braz
author_facet Parente, Daniella Braz
Rodrigues, Rosana Souza
Paiva, Fernando Fernandes
Oliveira Neto, Jaime Araujo
Machado-Silva, Lilian
Lanzoni, Valeria [UNIFESP]
Ferreira Campos, Carlos Frederico
Eiras-Araujo, Antonio Luis
Alvarenga Americano do Brasil, Pedro Emmanuel
Garteiser, Philippe
Gomes, Marilia de Brito
Perez, Renata de Mello
author_role author
author2 Rodrigues, Rosana Souza
Paiva, Fernando Fernandes
Oliveira Neto, Jaime Araujo
Machado-Silva, Lilian
Lanzoni, Valeria [UNIFESP]
Ferreira Campos, Carlos Frederico
Eiras-Araujo, Antonio Luis
Alvarenga Americano do Brasil, Pedro Emmanuel
Garteiser, Philippe
Gomes, Marilia de Brito
Perez, Renata de Mello
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv DOr Inst Res & Educ
Universidade Federal do Rio de Janeiro (UFRJ)
Universidade do Estado do Rio de Janeiro (UERJ)
Universidade de São Paulo (USP)
Universidade Federal de São Paulo (UNIFESP)
Univ Paris Diderot Sorbonne
dc.contributor.author.fl_str_mv Parente, Daniella Braz
Rodrigues, Rosana Souza
Paiva, Fernando Fernandes
Oliveira Neto, Jaime Araujo
Machado-Silva, Lilian
Lanzoni, Valeria [UNIFESP]
Ferreira Campos, Carlos Frederico
Eiras-Araujo, Antonio Luis
Alvarenga Americano do Brasil, Pedro Emmanuel
Garteiser, Philippe
Gomes, Marilia de Brito
Perez, Renata de Mello
description Objective: 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.
publishDate 2014
dc.date.none.fl_str_mv 2014-11-26
2016-01-24T14:38:12Z
2016-01-24T14:38:12Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1371/journal.pone.0112574
Plos One. San Francisco: Public Library Science, v. 9, n. 11, 9 p., 2014.
10.1371/journal.pone.0112574
WOS000349145400018.pdf
1932-6203
http://repositorio.unifesp.br/handle/11600/38469
WOS:000349145400018
url http://dx.doi.org/10.1371/journal.pone.0112574
http://repositorio.unifesp.br/handle/11600/38469
identifier_str_mv Plos One. San Francisco: Public Library Science, v. 9, n. 11, 9 p., 2014.
10.1371/journal.pone.0112574
WOS000349145400018.pdf
1932-6203
WOS:000349145400018
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Plos One
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 9
application/pdf
dc.publisher.none.fl_str_mv Public Library Science
publisher.none.fl_str_mv Public Library Science
dc.source.none.fl_str_mv reponame:Repositório Institucional da UNIFESP
instname:Universidade Federal de São Paulo (UNIFESP)
instacron:UNIFESP
instname_str Universidade Federal de São Paulo (UNIFESP)
instacron_str UNIFESP
institution UNIFESP
reponame_str Repositório Institucional da UNIFESP
collection Repositório Institucional da UNIFESP
repository.name.fl_str_mv Repositório Institucional da UNIFESP - Universidade Federal de São Paulo (UNIFESP)
repository.mail.fl_str_mv biblioteca.csp@unifesp.br
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