Literature DB >> 19820490

Liver steatosis quantification using magnetic resonance imaging: a prospective comparative study with liver biopsy.

Nicolas Mennesson1, Jérôme Dumortier, Valérie Hervieu, Laurent Milot, Olivier Guillaud, Jean-Yves Scoazec, Frank Pilleul.   

Abstract

BACKGROUND AND AIMS: To prospectively determine the accuracy of liver fat quantification with magnetic resonance imaging (MRI). PATIENTS AND METHODS: The population consisted of 40 patients (mean age, 52.5 years; range, 23-78 years). The same day, all patients underwent MRI and ultrasonography-guided liver biopsy. The histological evaluation of steatosis was performed by an experienced liver pathologist blinded to the MRI results. On T1-weighted in- and opposed-phase images, one radiologist, experienced in abdominal imaging, blinded to the clinical and pathological results, recorded signal intensity (SI) by mean regions of interest placed at same locations in both phases. Fat-water ratio was obtained by dividing SI of liver in opposed-phase sequence by SI of liver in in-phase sequence. The fat-water ratio and the histological grade of steatosis were compared by linear regression. Receiver operating characteristic curve was used to define the sensitivity and specificity of fat-water ratio as a diagnostic tool for evaluation of steatosis.
RESULTS: Diagnoses were nonalcoholic fatty liver disease (n = 25), alcoholic liver disease (n = 10), cholangiopathy (n = 2), and autoimmune hepatitis (n = 3). Fatty liver infiltration was present in 80% of patients. The mean (SD) percentage of fatty hepatocytes was 38.7% (29.2). Fat-water ratio and steatosis grade were highly correlated (r = 0.852, P < 0.0001). Sensitivity and specificity of fat-water ratio to detect fatty infiltration greater than 20% were 96% and 93%, respectively.
CONCLUSIONS: This prospective study demonstrates that MRI can be proposed as a noninvasive method to screen and quantify liver steatosis.

Entities:  

Mesh:

Year:  2009        PMID: 19820490     DOI: 10.1097/RCT.0b013e318199d883

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  19 in total

1.  Liver steatosis: concordance of MR imaging and MR spectroscopic data with histologic grade.

Authors:  Susan M Noworolski; Maggie M Lam; Raphael B Merriman; Linda Ferrell; Aliya Qayyum
Journal:  Radiology       Date:  2012-07       Impact factor: 11.105

2.  In vivo and ex vivo measurements: noninvasive assessment of alcoholic fatty liver using 1H-MR spectroscopy.

Authors:  Daniel Keese; Hüdayi Korkusuz; Frank Huebner; Dmitry Namgaladze; Bahram Raschidi; Thomas J Vogl
Journal:  Diagn Interv Radiol       Date:  2016 Jan-Feb       Impact factor: 2.630

Review 3.  Non-invasive methods for the diagnosis of nonalcoholic fatty liver disease.

Authors:  Marianthi Papagianni; Areti Sofogianni; Konstantinos Tziomalos
Journal:  World J Hepatol       Date:  2015-04-08

4.  T1-weighted dual-echo MRI for fat quantification in pediatric nonalcoholic fatty liver disease.

Authors:  Lucia Pacifico; Michele Di Martino; Carlo Catalano; Valeria Panebianco; Mario Bezzi; Caterina Anania; Claudio Chiesa
Journal:  World J Gastroenterol       Date:  2011-07-07       Impact factor: 5.742

5.  Role of quantification of hepatic steatosis and future remnant volume in predicting hepatic dysfunction and complications after liver resection for colorectal metastases: a pilot study.

Authors:  Alastair L Young; Dan Wilson; Janice Ward; John Biglands; J Ashley Guthrie; K Rajendra Prasad; Giles J Toogood; Philip J Robinson; J Peter A Lodge
Journal:  HPB (Oxford)       Date:  2012-01-16       Impact factor: 3.647

6.  Accurate Identification of Fatty Liver Disease in Data Warehouse Utilizing Natural Language Processing.

Authors:  Joseph S Redman; Yamini Natarajan; Jason K Hou; Jingqi Wang; Muzammil Hanif; Hua Feng; Jennifer R Kramer; Roxanne Desiderio; Hua Xu; Hashem B El-Serag; Fasiha Kanwal
Journal:  Dig Dis Sci       Date:  2017-08-31       Impact factor: 3.199

Review 7.  Evidence and recommendations for imaging liver fat in children, based on systematic review.

Authors:  Hannah I Awai; Kimberly P Newton; Claude B Sirlin; Cynthia Behling; Jeffrey B Schwimmer
Journal:  Clin Gastroenterol Hepatol       Date:  2013-09-30       Impact factor: 11.382

8.  Liver fat volume fraction quantification with fat and water T1 and T 2* estimation and accounting for NMR multiple components in patients with chronic liver disease at 1.5 and 3.0 T.

Authors:  Benjamin Leporq; Hélène Ratiney; Frank Pilleul; Olivier Beuf
Journal:  Eur Radiol       Date:  2013-04-16       Impact factor: 5.315

9.  The diagnostic accuracy of US, CT, MRI and 1H-MRS for the evaluation of hepatic steatosis compared with liver biopsy: a meta-analysis.

Authors:  Anneloes E Bohte; Jochem R van Werven; Shandra Bipat; Jaap Stoker
Journal:  Eur Radiol       Date:  2010-07-31       Impact factor: 5.315

Review 10.  Hepatic steatosis in type 1 diabetes.

Authors:  Simon E Regnell; Åke Lernmark
Journal:  Rev Diabet Stud       Date:  2012-02-10
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.