Literature DB >> 27509543

Application of Modified Spin-Echo-based Sequences for Hepatic MR Elastography: Evaluation, Comparison with the Conventional Gradient-Echo Sequence, and Preliminary Clinical Experience.

Yogesh K Mariappan1, Bogdan Dzyubak1, Kevin J Glaser1, Sudhakar K Venkatesh1, Claude B Sirlin1, Jonathan Hooker1, Kiaran P McGee1, Richard L Ehman1.   

Abstract

Purpose To (a) evaluate modified spin-echo (SE) magnetic resonance (MR) elastographic sequences for acquiring MR images with improved signal-to-noise ratio (SNR) in patients in whom the standard gradient-echo (GRE) MR elastographic sequence yields low hepatic signal intensity and (b) compare the stiffness values obtained with these sequences with those obtained with the conventional GRE sequence. Materials and Methods This HIPAA-compliant retrospective study was approved by the institutional review board; the requirement to obtain informed consent was waived. Data obtained with modified SE and SE echo-planar imaging (EPI) MR elastographic pulse sequences with short echo times were compared with those obtained with the conventional GRE MR elastographic sequence in two patient cohorts, one that exhibited adequate liver signal intensity and one that exhibited low liver signal intensity. Shear stiffness values obtained with the three sequences in 130 patients with successful GRE-based examinations were retrospectively tested for statistical equivalence by using a 5% margin. In 47 patients in whom GRE examinations were considered to have failed because of low SNR, the SNR and confidence level with the SE-based sequences were compared with those with the GRE sequence. Results The results of this study helped confirm the equivalence of SE MR elastography and SE-EPI MR elastography to GRE MR elastography (P = .0212 and P = .0001, respectively). The SE and SE-EPI MR elastographic sequences provided substantially improved SNR and stiffness inversion confidence level in 47 patients in whom GRE MR elastography had failed. Conclusion Modified SE-based MR elastographic sequences provide higher SNR MR elastographic data and reliable stiffness measurements; thus, they enable quantification of stiffness in patients in whom the conventional GRE MR elastographic sequence failed owing to low signal intensity. The equivalence of the three sequences indicates that the current diagnostic thresholds are applicable to SE MR elastographic sequences for assessing liver fibrosis. © RSNA, 2016.

Entities:  

Mesh:

Year:  2016        PMID: 27509543      PMCID: PMC5283871          DOI: 10.1148/radiol.2016160153

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  26 in total

1.  Spatio-temporal directional filtering for improved inversion of MR elastography images.

Authors:  A Manduca; D S Lake; S A Kruse; R L Ehman
Journal:  Med Image Anal       Date:  2003-12       Impact factor: 8.545

2.  Measuring changes in muscle stiffness after eccentric exercise using elastography.

Authors:  M A Green; R Sinkus; S C Gandevia; R D Herbert; L E Bilston
Journal:  NMR Biomed       Date:  2012-01-16       Impact factor: 4.044

Review 3.  Beyond hereditary hemochromatosis: new insights into the relationship between iron overload and chronic liver diseases.

Authors:  Silvia Fargion; Luca Valenti; Anna Ludovica Fracanzani
Journal:  Dig Liver Dis       Date:  2010-08-24       Impact factor: 4.088

4.  Estimation of the absolute shear stiffness of human lung parenchyma using (1) H spin echo, echo planar MR elastography.

Authors:  Yogesh K Mariappan; Kevin J Glaser; David L Levin; Robert Vassallo; Rolf D Hubmayr; Carl Mottram; Richard L Ehman; Kiaran P McGee
Journal:  J Magn Reson Imaging       Date:  2013-11-13       Impact factor: 4.813

5.  Magnetic resonance elastography for the noninvasive staging of liver fibrosis.

Authors:  Laurent Huwart; Christine Sempoux; Eric Vicaut; Najat Salameh; Laurence Annet; Etienne Danse; Frank Peeters; Leon C ter Beek; Jacques Rahier; Ralph Sinkus; Yves Horsmans; Bernard E Van Beers
Journal:  Gastroenterology       Date:  2008-04-04       Impact factor: 22.682

Review 6.  Echo-planar MR imaging.

Authors:  R R Edelman; P Wielopolski; F Schmitt
Journal:  Radiology       Date:  1994-09       Impact factor: 11.105

7.  Magnetic resonance elastography: non-invasive mapping of tissue elasticity.

Authors:  A Manduca; T E Oliphant; M A Dresner; J L Mahowald; S A Kruse; E Amromin; J P Felmlee; J F Greenleaf; R L Ehman
Journal:  Med Image Anal       Date:  2001-12       Impact factor: 8.545

8.  Non-invasive quantitation of liver iron-overload by magnetic resonance imaging.

Authors:  J P Kaltwasser; R Gottschalk; K P Schalk; W Hartl
Journal:  Br J Haematol       Date:  1990-03       Impact factor: 6.998

9.  Non-invasive measurement of brain viscoelasticity using magnetic resonance elastography.

Authors:  Ingolf Sack; Bernd Beierbach; Uwe Hamhaber; Dieter Klatt; Jürgen Braun
Journal:  NMR Biomed       Date:  2008-03       Impact factor: 4.044

10.  Automated liver elasticity calculation for MR elastography.

Authors:  Bogdan Dzyubak; Sudhakar K Venkatesh; Armando Manduca; Kevin J Glaser; Richard L Ehman
Journal:  J Magn Reson Imaging       Date:  2015-10-22       Impact factor: 4.813

View more
  14 in total

Review 1.  Comparison of gradient-recalled echo and spin-echo echo-planar imaging MR elastography in staging liver fibrosis: a meta-analysis.

Authors:  Yong Seek Kim; Yu Na Jang; Ji Soo Song
Journal:  Eur Radiol       Date:  2017-11-21       Impact factor: 5.315

2.  Feasibility and agreement of stiffness measurements using gradient-echo and spin-echo MR elastography sequences in unselected patients undergoing liver MRI.

Authors:  Guilherme Moura Cunha; Kevin J Glaser; Anke Bergman; Rodrigo P Luz; Eduardo H de Figueiredo; Flavia Paiva Proença Lobo Lopes
Journal:  Br J Radiol       Date:  2018-05-17       Impact factor: 3.039

Review 3.  Quantitative Elastography Methods in Liver Disease: Current Evidence and Future Directions.

Authors:  Paul Kennedy; Mathilde Wagner; Laurent Castéra; Cheng William Hong; Curtis L Johnson; Claude B Sirlin; Bachir Taouli
Journal:  Radiology       Date:  2018-03       Impact factor: 11.105

Review 4.  Advances in Magnetic Resonance Elastography of Liver.

Authors:  Jiahui Li; Sudhakar Kundapur Venkatesh; Meng Yin
Journal:  Magn Reson Imaging Clin N Am       Date:  2020-06-06       Impact factor: 2.266

5.  MR elastography of liver at 3 Tesla: comparison of gradient-recalled echo (GRE) and spin-echo (SE) echo-planar imaging (EPI) sequences and agreement across stiffness measurements.

Authors:  Chenyang Zhan; Stephan Kannengiesser; Hersh Chandarana; Matthias Fenchel; Justin Ream; Krishna Prasad Shanbhogue
Journal:  Abdom Radiol (NY)       Date:  2019-05

Review 6.  Putting it all together: established and emerging MRI techniques for detecting and measuring liver fibrosis.

Authors:  Suraj D Serai; Andrew T Trout; Alexander Miethke; Eric Diaz; Stavra A Xanthakos; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2018-08-04

Review 7.  Elastography in Chronic Liver Disease: Modalities, Techniques, Limitations, and Future Directions.

Authors:  Aparna Srinivasa Babu; Michael L Wells; Oleg M Teytelboym; Justin E Mackey; Frank H Miller; Benjamin M Yeh; Richard L Ehman; Sudhakar K Venkatesh
Journal:  Radiographics       Date:  2016-09-30       Impact factor: 5.333

8.  Prognostic Role of Liver Stiffness Measurements Using Magnetic Resonance Elastography in Patients with Compensated Chronic Liver Disease.

Authors:  Dong Ho Lee; Jeong Min Lee; Won Chang; Jung-Hwan Yoon; Yoon Jun Kim; Jeong-Hoon Lee; Su Jong Yu; Joon Koo Han
Journal:  Eur Radiol       Date:  2018-02-27       Impact factor: 5.315

9.  Noninvasive prediction of portal pressure with MR elastography and DCE-MRI of the liver and spleen: Preliminary results.

Authors:  Mathilde Wagner; Stefanie Hectors; Octavia Bane; Sonja Gordic; Paul Kennedy; Cecilia Besa; Thomas D Schiano; Swan Thung; Aaron Fischman; Bachir Taouli
Journal:  J Magn Reson Imaging       Date:  2018-04-11       Impact factor: 4.813

10.  Hepatic iron overload identified by magnetic resonance imaging-based T2* is a predictor of non-diagnostic elastography.

Authors:  Hassan M Ghoz; Paul T Kröner; Fernando F Stancampiano; Andrew W Bowman; Prakash Vishnu; Michael G Heckman; Nancy N Diehl; Ethan McLeod; Naveed Nikpour; William C Palmer
Journal:  Quant Imaging Med Surg       Date:  2019-06
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.