Literature DB >> 19461588

Ultrasonography to quantify hepatic fat content: validation by 1H magnetic resonance spectroscopy.

Mireille A Edens1, Peter M A van Ooijen, Wendy J Post, Mark J F Haagmans, Wisnumurti Kristanto, Paul E Sijens, Erik J van der Jagt, Ronald P Stolk.   

Abstract

An abundance of fat stored within the liver, or steatosis, is the beginning of a broad hepatological spectrum, usually referred to as fatty liver disease (FLD). For studies on FLD, quantitative hepatic fat ultrasonography would be an appealing study modality. Objective of this study was to develop a technique for quantifying hepatic fat content by ultrasonography and validate this using proton magnetic resonance spectroscopy ((1)H MRS) as gold standard. Eighteen white volunteers (BMI range 21.0-42.9) were scanned by both ultrasonography and (1)H MRS. Altered ultrasound characteristics, present in the case of FLD, were assessed using a specially developed software program. Various attenuation and textural based indices of FLD were extracted from ultrasound images. Using linear regression analysis, the predictive power of several models (consisting of both attenuation and textural based measures) on log 10-transformed hepatic fat content by (1)H MRS were investigated. The best quantitative model was compared with a qualitative ultrasonography method, as used in clinical care. A model with four ultrasound characteristics could modestly predict the amount of liver fat (adjusted explained variance 43.2%, P = 0.021). Expanding the model to seven ultrasound characteristics increased adjusted explained variance to 60% (P = 0.015), with r = 0.789 (P < 0.001). Comparing this quantitative model with qualitative ultrasonography revealed a significant advantage of the quantitative model in predicting hepatic fat content (P < 0.001). This validation study shows that a combination of computer-assessed ultrasound measures from routine ultrasound images can be used to quantitatively assess hepatic fat content.

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Year:  2009        PMID: 19461588     DOI: 10.1038/oby.2009.154

Source DB:  PubMed          Journal:  Obesity (Silver Spring)        ISSN: 1930-7381            Impact factor:   5.002


  15 in total

1.  Assessment of relevant hepatic steatosis in obese adolescents by rapid fat-selective GRE imaging with spatial-spectral excitation: a quantitative comparison with spectroscopic findings.

Authors:  Fabian Springer; Stefan Ehehalt; Julia Sommer; Verena Ballweg; Jürgen Machann; Gerhard Binder; Claus D Claussen; Fritz Schick
Journal:  Eur Radiol       Date:  2010-10-03       Impact factor: 5.315

2.  Diagnostic accuracy and reliability of ultrasonography for the detection of fatty liver: a meta-analysis.

Authors:  Ruben Hernaez; Mariana Lazo; Susanne Bonekamp; Ihab Kamel; Frederick L Brancati; Eliseo Guallar; Jeanne M Clark
Journal:  Hepatology       Date:  2011-09-02       Impact factor: 17.425

Review 3.  The Clinical Implications of Fatty Pancreas: A Concise Review.

Authors:  Tawfik Khoury; Akwi W Asombang; Tyler M Berzin; Jonah Cohen; Douglas K Pleskow; Meir Mizrahi
Journal:  Dig Dis Sci       Date:  2017-08-08       Impact factor: 3.199

4.  Indicators of fetal growth and adult liver enzymes: the Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study.

Authors:  E W Harville; W Chen; L Bazzano; M Oikonen; N Hutri-Kähönen; O Raitakari
Journal:  J Dev Orig Health Dis       Date:  2016-12-06       Impact factor: 2.401

5.  MRI-determined fat content of human liver, pancreas and kidney.

Authors:  Paul E Sijens; Mireille A Edens; Stephan J L Bakker; Ronald P Stolk
Journal:  World J Gastroenterol       Date:  2010-04-28       Impact factor: 5.742

6.  Standardized ultrasound hepatic/renal ratio and hepatic attenuation rate to quantify liver fat content: an improvement method.

Authors:  Ming-Feng Xia; Hong-Mei Yan; Wan-Yuan He; Xiao-Ming Li; Chao-Lun Li; Xiu-Zhong Yao; Ruo-Kun Li; Meng-Su Zeng; Xin Gao
Journal:  Obesity (Silver Spring)       Date:  2011-10-20       Impact factor: 5.002

7.  Blood hsa-miR-122-5p and hsa-miR-885-5p levels associate with fatty liver and related lipoprotein metabolism-The Young Finns Study.

Authors:  Emma Raitoharju; Ilkka Seppälä; Leo-Pekka Lyytikäinen; Jorma Viikari; Mika Ala-Korpela; Pasi Soininen; Antti J Kangas; Melanie Waldenberger; Norman Klopp; Thomas Illig; Jaana Leiviskä; Britt-Marie Loo; Niku Oksala; Mika Kähönen; Nina Hutri-Kähönen; Reijo Laaksonen; Olli Raitakari; Terho Lehtimäki
Journal:  Sci Rep       Date:  2016-12-05       Impact factor: 4.379

8.  Relationship of Serum Betatrophin with Nonalcoholic Fatty Liver in a Chinese Population.

Authors:  Wen Hu; Xiaojuan Shao; Dianxuan Guo; Hairong Hao; Yong Zhang; Mingfeng Xia; Yingyun Gong; Hongwen Zhou; Yunqing Fan; Weinan Yu
Journal:  PLoS One       Date:  2017-01-26       Impact factor: 3.240

Review 9.  Digital liver biopsy: Bio-imaging of fatty liver for translational and clinical research.

Authors:  Marcello Mancini; Paul Summers; Francesco Faita; Maurizia R Brunetto; Francesco Callea; Andrea De Nicola; Nicole Di Lascio; Fabio Farinati; Amalia Gastaldelli; Bruno Gridelli; Peppino Mirabelli; Emanuele Neri; Piero A Salvadori; Eleni Rebelos; Claudio Tiribelli; Luca Valenti; Marco Salvatore; Ferruccio Bonino
Journal:  World J Hepatol       Date:  2018-02-27

10.  Protocol for ADDITION-PRO: a longitudinal cohort study of the cardiovascular experience of individuals at high risk for diabetes recruited from Danish primary care.

Authors:  Nanna B Johansen; Anne-Louise S Hansen; Troels M Jensen; Annelotte Philipsen; Signe S Rasmussen; Marit E Jørgensen; Rebecca K Simmons; Torsten Lauritzen; Annelli Sandbæk; Daniel R Witte
Journal:  BMC Public Health       Date:  2012-12-14       Impact factor: 3.295

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