Literature DB >> 25501270

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

B Henninger1, H Zoller, S Rauch, M Schocke, S Kannengiesser, X Zhong, G Reiter, W Jaschke, C Kremser.   

Abstract

OBJECTIVES: To evaluate the automated two-point Dixon screening sequence for the detection and estimated quantification of hepatic iron and fat compared with standard sequences as a reference.
METHODS: One hundred and two patients with suspected diffuse liver disease were included in this prospective study. The following MRI protocol was used: 3D-T1-weighted opposed- and in-phase gradient echo with two-point Dixon reconstruction and dual-ratio signal discrimination algorithm ("screening" sequence); fat-saturated, multi-gradient-echo sequence with 12 echoes; gradient-echo T1 FLASH opposed- and in-phase. Bland-Altman plots were generated and correlation coefficients were calculated to compare the sequences.
RESULTS: The screening sequence diagnosed fat in 33, iron in 35 and a combination of both in 4 patients. Correlation between R2* values of the screening sequence and the standard relaxometry was excellent (r = 0.988). A slightly lower correlation (r = 0.978) was found between the fat fraction of the screening sequence and the standard sequence. Bland-Altman revealed systematically lower R2* values obtained from the screening sequence and higher fat fraction values obtained with the standard sequence with a rather high variability in agreement.
CONCLUSIONS: The screening sequence is a promising method with fast diagnosis of the predominant liver disease. It is capable of estimating the amount of hepatic fat and iron comparable to standard methods. KEY POINTS: • MRI plays a major role in the clarification of diffuse liver disease. • The screening sequence was introduced for the assessment of diffuse liver disease. • It is a fast and automated algorithm for the evaluation of hepatic iron and fat. • It is capable of estimating the amount of hepatic fat and iron.

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Year:  2014        PMID: 25501270     DOI: 10.1007/s00330-014-3528-8

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


  33 in total

1.  Evaluation of MR imaging with T1 and T2* mapping for the determination of hepatic iron overload.

Authors:  B Henninger; C Kremser; S Rauch; R Eder; H Zoller; A Finkenstedt; H J Michaely; M Schocke
Journal:  Eur Radiol       Date:  2012-05-30       Impact factor: 5.315

2.  Comparison of whole liver and small region-of-interest measurements of MRI liver R2* in children with iron overload.

Authors:  M Beth McCarville; Claudia M Hillenbrand; Ralf B Loeffler; Matthew P Smeltzer; Ruitan Song; Chin-Shang Li; Jane S Hankins
Journal:  Pediatr Radiol       Date:  2010-03-24

3.  Controlled aliasing in parallel imaging results in higher acceleration (CAIPIRINHA) for multi-slice imaging.

Authors:  Felix A Breuer; Martin Blaimer; Robin M Heidemann; Matthias F Mueller; Mark A Griswold; Peter M Jakob
Journal:  Magn Reson Med       Date:  2005-03       Impact factor: 4.668

4.  Relaxation effects in the quantification of fat using gradient echo imaging.

Authors:  Mark Bydder; Takeshi Yokoo; Gavin Hamilton; Michael S Middleton; Alyssa D Chavez; Jeffrey B Schwimmer; Joel E Lavine; Claude B Sirlin
Journal:  Magn Reson Imaging       Date:  2008-02-21       Impact factor: 2.546

5.  Fat quantification with IDEAL gradient echo imaging: correction of bias from T(1) and noise.

Authors:  Chia-Ying Liu; Charles A McKenzie; Huanzhou Yu; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2007-08       Impact factor: 4.668

6.  Improved T2* assessment in liver iron overload by magnetic resonance imaging.

Authors:  Vincenzo Positano; Benedetta Salani; Alessia Pepe; Maria Filomena Santarelli; Daniele De Marchi; Anna Ramazzotti; Brunella Favilli; Eliana Cracolici; Massimo Midiri; Paolo Cianciulli; Massimo Lombardi; Luigi Landini
Journal:  Magn Reson Imaging       Date:  2008-07-30       Impact factor: 2.546

7.  A new syndrome of liver iron overload with normal transferrin saturation.

Authors:  R Moirand; A M Mortaji; O Loréal; F Paillard; P Brissot; Y Deugnier
Journal:  Lancet       Date:  1997-01-11       Impact factor: 79.321

8.  Combination of complex-based and magnitude-based multiecho water-fat separation for accurate quantification of fat-fraction.

Authors:  Huanzhou Yu; Ann Shimakawa; Catherine D G Hines; Charles A McKenzie; Gavin Hamilton; Claude B Sirlin; Jean H Brittain; Scott B Reeder
Journal:  Magn Reson Med       Date:  2011-02-24       Impact factor: 4.668

Review 9.  Pathology of hepatic iron overload.

Authors:  Yves Deugnier; Bruno Turlin
Journal:  World J Gastroenterol       Date:  2007-09-21       Impact factor: 5.742

10.  T1 independent, T2* corrected MRI with accurate spectral modeling for quantification of fat: validation in a fat-water-SPIO phantom.

Authors:  Catherine D G Hines; Huanzhou Yu; Ann Shimakawa; Charles A McKenzie; Jean H Brittain; Scott B Reeder
Journal:  J Magn Reson Imaging       Date:  2009-11       Impact factor: 4.813

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  7 in total

1.  Effect of gadolinium on hepatic fat quantification using multi-echo reconstruction technique with T2* correction and estimation.

Authors:  Mingmei Ge; Jing Zhang; Bing Wu; Zhiqin Liu; Hai Song; Xiangfeng Meng; Xinhuai Wu
Journal:  Eur Radiol       Date:  2015-09-17       Impact factor: 5.315

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

Authors:  Holger Hetterich; Christian Bayerl; Annette Peters; Margit Heier; Birgit Linkohr; Christa Meisinger; Sigrid Auweter; Stephan A R Kannengießer; Harald Kramer; Birgit Ertl-Wagner; Fabian Bamberg
Journal:  Eur Radiol       Date:  2015-09-04       Impact factor: 5.315

Review 3.  Quantitative Imaging Biomarkers of NAFLD.

Authors:  Sonja Kinner; Scott B Reeder; Takeshi Yokoo
Journal:  Dig Dis Sci       Date:  2016-02-05       Impact factor: 3.199

Review 4.  Pathology-MRI Correlation of Hepatocarcinogenesis: Recent Update.

Authors:  Jimi Huh; Kyung Won Kim; Jihun Kim; Eunsil Yu
Journal:  J Pathol Transl Med       Date:  2015-05-15

Review 5.  Non-alcoholic fatty liver diseases: update on the challenge of diagnosis and treatment.

Authors:  Hyunwoo Oh; Dae Won Jun; Waqar K Saeed; Mindie H Nguyen
Journal:  Clin Mol Hepatol       Date:  2016-09-25

6.  Effects of aging and menopause on pancreatic fat fraction in healthy women population: A strobe-compliant article.

Authors:  Wenjuan Yang; Yi Xie; Bin Song; Chunchao Xia; Chengwei Tang; Jing Li
Journal:  Medicine (Baltimore)       Date:  2019-02       Impact factor: 1.817

7.  Comparison of conventional sonographic signs and magnetic resonance imaging proton density fat fraction for assessment of hepatic steatosis.

Authors:  Mimi Kim; Bo-Kyeong Kang; Dae Won Jun
Journal:  Sci Rep       Date:  2018-05-17       Impact factor: 4.379

  7 in total

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