Literature DB >> 26340812

Feasibility of a three-step magnetic resonance imaging approach for the assessment of hepatic steatosis in an asymptomatic study population.

Holger Hetterich1, Christian Bayerl2, Annette Peters3, Margit Heier3,4, Birgit Linkohr3, Christa Meisinger3,4, Sigrid Auweter2, Stephan A R Kannengießer5, Harald Kramer2,6, Birgit Ertl-Wagner2, Fabian Bamberg2,7.   

Abstract

OBJECTIVES: To determine the feasibility of a multi-step magnetic resonance imaging (MRI) approach for comprehensive assessment of hepatic steatosis defined as liver fat content of ≥5 % in an asymptomatic population.
METHODS: The study was approved by the institutional review board and written informed consent of all participants was obtained. Participants of a population-based study cohort underwent a three-step 3-T MRI-based assessment of liver fat. A dual-echo Dixon sequence was performed to identify subjects with hepatic steatosis, followed by a multi-echo Dixon sequence with proton density fat fraction estimation. Finally, single-voxel T2-corrected multi-echo spectroscopy was performed.
RESULTS: A total of 215 participants completed the MRI protocol (56.3 % male, average age 57.2 ± 9.4 years). The prevalence of hepatic steatosis was 55 %. Mean liver proton density fat fraction was 9.2 ± 8.5 % by multi-echo Dixon and 9.3 ± 8.6 % by multi-echo spectroscopy (p = 0.51). Dual-echo Dixon overestimated liver fat fraction by 1.4 ± 2.0 % (p < 0.0001). All measurements showed excellent correlations (r ≥ 0.9, p < 0.001). Dual-echo Dixon was highly sensitive for the detection of hepatic steatosis (sensitivity 0.97, NPV 0.96) with good specificity and PPV (0.75 and 0.81, respectively).
CONCLUSIONS: A multi-step MRI approach may enable rapid and accurate identification of subjects with hepatic steatosis in an asymptomatic population. KEY POINTS: • Dual-echo Dixon can rapidly and reliably exclude hepatic steatosis without complex post-processing. • Multi-echo Dixon and multi-echo spectroscopy yield similar results regarding hepatic fat quantification. • Each sequence can be performed in one breath-hold. • These sequences can be implemented in routine abdominal MRI protocols. • Thus hepatic fat can be evaluated without relevant increase in scan time.

Entities:  

Keywords:  Dual-echo Dixon; Magnetic resonance imaging; Magnetic resonance spectroscopy; Multi-echo Dixon; Non-alcoholic fatty liver disease

Mesh:

Year:  2015        PMID: 26340812     DOI: 10.1007/s00330-015-3966-y

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  29 in total

1.  Automated two-point dixon screening for the evaluation of hepatic steatosis and siderosis: comparison with R2-relaxometry and chemical shift-based sequences.

Authors:  B Henninger; H Zoller; S Rauch; M Schocke; S Kannengiesser; X Zhong; G Reiter; W Jaschke; C Kremser
Journal:  Eur Radiol       Date:  2014-12-14       Impact factor: 5.315

2.  Nonalcoholic fatty liver disease and serum lipoproteins: the Multi-Ethnic Study of Atherosclerosis.

Authors:  Andrew Paul DeFilippis; Michael J Blaha; Seth S Martin; Robert M Reed; Steven R Jones; Khurram Nasir; Roger S Blumenthal; Matthew J Budoff
Journal:  Atherosclerosis       Date:  2013-01-29       Impact factor: 5.162

3.  Prevalence and risk factors of non-alcoholic fatty liver disease in potential living liver donors in Korea: a review of 589 consecutive liver biopsies in a single center.

Authors:  Ji Young Lee; Kang Mo Kim; Sung Gyu Lee; Eunsil Yu; Young-Suk Lim; Han Chu Lee; Young-Hwa Chung; Yung Sang Lee; Dong-Jin Suh
Journal:  J Hepatol       Date:  2007-03-06       Impact factor: 25.083

4.  Hepatic MR imaging for in vivo differentiation of steatosis, iron deposition and combined storage disorder: single-ratio in/opposed phase analysis vs. dual-ratio Dixon discrimination.

Authors:  Mustafa R Bashir; Elmar M Merkle; Alastair D Smith; Daniel T Boll
Journal:  Eur J Radiol       Date:  2011-02-16       Impact factor: 3.528

5.  Quantification of hepatic steatosis with a multistep adaptive fitting MRI approach: prospective validation against MR spectroscopy.

Authors:  Mustafa R Bashir; Xiaodong Zhong; Marcel D Nickel; Ghaneh Fananapazir; Stephan A R Kannengiesser; Berthold Kiefer; Brian M Dale
Journal:  AJR Am J Roentgenol       Date:  2015-02       Impact factor: 3.959

6.  Nonalcoholic fatty liver disease: MR imaging of liver proton density fat fraction to assess hepatic steatosis.

Authors:  An Tang; Justin Tan; Mark Sun; Gavin Hamilton; Mark Bydder; Tanya Wolfson; Anthony C Gamst; Michael Middleton; Elizabeth M Brunt; Rohit Loomba; Joel E Lavine; Jeffrey B Schwimmer; Claude B Sirlin
Journal:  Radiology       Date:  2013-02-04       Impact factor: 11.105

Review 7.  Non-invasive assessment and quantification of liver steatosis by ultrasound, computed tomography and magnetic resonance.

Authors:  Nina F Schwenzer; Fabian Springer; Christina Schraml; Norbert Stefan; Jürgen Machann; Fritz Schick
Journal:  J Hepatol       Date:  2009-06-11       Impact factor: 25.083

8.  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

9.  Impact of fatty liver disease on health care utilization and costs in a general population: a 5-year observation.

Authors:  Sebastian E Baumeister; Henry Völzke; Paul Marschall; Ulrich John; Carsten-Oliver Schmidt; Steffen Flessa; Dietrich Alte
Journal:  Gastroenterology       Date:  2007-10-18       Impact factor: 22.682

10.  Measurement of hepatic lipid: high-speed T2-corrected multiecho acquisition at 1H MR spectroscopy--a rapid and accurate technique.

Authors:  Nashiely Pineda; Puneet Sharma; Qin Xu; Xiaoping Hu; Miriam Vos; Diego R Martin
Journal:  Radiology       Date:  2009-06-22       Impact factor: 11.105

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  14 in total

Review 1.  Linearity, Bias, and Precision of Hepatic Proton Density Fat Fraction Measurements by Using MR Imaging: A Meta-Analysis.

Authors:  Takeshi Yokoo; Suraj D Serai; Ali Pirasteh; Mustafa R Bashir; Gavin Hamilton; Diego Hernando; Houchun H Hu; Holger Hetterich; Jens-Peter Kühn; Guido M Kukuk; Rohit Loomba; Michael S Middleton; Nancy A Obuchowski; Ji Soo Song; An Tang; Xinhuai Wu; Scott B Reeder; Claude B Sirlin
Journal:  Radiology       Date:  2017-09-11       Impact factor: 11.105

2.  MRI-based assessment and characterization of epicardial and paracardial fat depots in the context of impaired glucose metabolism and subclinical left-ventricular alterations.

Authors:  Sophia D Rado; Roberto Lorbeer; Sergios Gatidis; Jürgen Machann; Corinna Storz; Konstantin Nikolaou; Wolfgang Rathmann; Udo Hoffmann; Annette Peters; Fabian Bamberg; Christopher L Schlett
Journal:  Br J Radiol       Date:  2019-01-28       Impact factor: 3.039

3.  Diagnostic accuracy of hepatic proton density fat fraction measured by magnetic resonance imaging for the evaluation of liver steatosis with histology as reference standard: a meta-analysis.

Authors:  Yali Qu; Mou Li; Gavin Hamilton; Yingzhen N Zhang; Bin Song
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

4.  Pancreatic fat content by magnetic resonance imaging in subjects with prediabetes, diabetes, and controls from a general population without cardiovascular disease.

Authors:  Sophia D Heber; Holger Hetterich; Roberto Lorbeer; Christian Bayerl; Jürgen Machann; Sigrid Auweter; Corinna Storz; Christopher L Schlett; Konstantin Nikolaou; Maximilian Reiser; Annette Peters; Fabian Bamberg
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

5.  Measuring liver fat fraction with complex-based chemical shift MRI: the effect of simplified sampling protocols on accuracy.

Authors:  Alexander J Procter; Julia Y Sun; Paul N Malcolm; Andoni P Toms
Journal:  BMC Med Imaging       Date:  2019-02-08       Impact factor: 1.930

6.  Similar Weight Loss Induces Greater Improvements in Insulin Sensitivity and Liver Function among Individuals with NAFLD Compared to Individuals without NAFLD.

Authors:  Ruth Schübel; Tobias Nonnenmacher; Disorn Sookthai; Sandra Gonzalez Maldonado; Solomon A Sowah; Oyunbileg von Stackelberg; Christopher L Schlett; Mirja Grafetstätter; Diana Nabers; Theron Johnson; Romy Kirsten; Cornelia M Ulrich; Rudolf Kaaks; Hans-Ulrich Kauczor; Tilman Kühn; Johanna Nattenmüller
Journal:  Nutrients       Date:  2019-03-04       Impact factor: 5.717

7.  Detection of Liver Steatosis With a Novel Ultrasound-Based Technique: A Pilot Study Using MRI-Derived Proton Density Fat Fraction as the Gold Standard.

Authors:  Giovanna Ferraioli; Laura Maiocchi; Maria Vittoria Raciti; Carmine Tinelli; Annalisa De Silvestri; Mara Nichetti; Pasquale De Cata; Mariangela Rondanelli; Luca Chiovato; Fabrizio Calliada; Carlo Filice
Journal:  Clin Transl Gastroenterol       Date:  2019-10       Impact factor: 4.488

8.  Association between abdominal adiposity and subclinical measures of left-ventricular remodeling in diabetics, prediabetics and normal controls without history of cardiovascular disease as measured by magnetic resonance imaging: results from the KORA-FF4 Study.

Authors:  Christopher L Schlett; Roberto Lorbeer; Carolyn Arndt; Sigrid Auweter; Jürgen Machann; Holger Hetterich; Birgit Linkohr; Wolfgang Rathmann; Annette Peters; Fabian Bamberg
Journal:  Cardiovasc Diabetol       Date:  2018-06-12       Impact factor: 9.951

9.  Anthropometric and blood parameters for the prediction of NAFLD among overweight and obese adults.

Authors:  Tilman Kühn; Tobias Nonnenmacher; Disorn Sookthai; Ruth Schübel; Daniel Antonio Quintana Pacheco; Oyunbileg von Stackelberg; Mirja E Graf; Theron Johnson; Christopher L Schlett; Romy Kirsten; Cornelia M Ulrich; Rudolf Kaaks; Hans-Ulrich Kauczor; Johanna Nattenmüller
Journal:  BMC Gastroenterol       Date:  2018-07-13       Impact factor: 3.067

10.  Liver fat accumulation measured by high-speed T2-corrected multi-echo magnetic resonance spectroscopy can predict risk of cholelithiasis.

Authors:  Hong Chen; Wei-Ke Zeng; Guang-Zi Shi; Ming Gao; Meng-Zhu Wang; Jun Shen
Journal:  World J Gastroenterol       Date:  2020-09-07       Impact factor: 5.742

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