Is MR Spectroscopy Really the Best MR-Based Method for the Evaluation of Fatty Liver in Diabetic Patients in Clinical Practice?
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , , , , , , , |
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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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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1814268411276951552 |