Literature DB >> 19959511

MR imaging of liver fibrosis: current state of the art.

Silvana C Faria1, Karthik Ganesan, Irene Mwangi, Masoud Shiehmorteza, Barbara Viamonte, Sameer Mazhar, Michael Peterson, Yuko Kono, Cynthia Santillan, Giovanna Casola, Claude B Sirlin.   

Abstract

Chronic liver disease is a major public health problem worldwide. Liver fibrosis, a common feature of almost all causes of chronic liver disease, involves the accumulation of collagen, proteoglycans, and other macromolecules within the extracellular matrix. Fibrosis tends to progress, leading to hepatic dysfunction, portal hypertension, and ultimately cirrhosis. Liver biopsy, the standard of reference for diagnosing liver fibrosis, is invasive, costly, and subject to complications and sampling variability. These limitations make it unsuitable for diagnosis and longitudinal monitoring in the general population. Thus, development of a noninvasive, accurate, and reproducible test for diagnosis and monitoring of liver fibrosis would be of great value. Conventional cross-sectional imaging techniques have limited capability to demonstrate liver fibrosis. In clinical practice, imaging studies are usually reserved for evaluation of the presence of portal hypertension or hepatocellular carcinoma in cases that have progressed to cirrhosis. In response to the rising prevalence of chronic liver diseases in Western nations, a number of imaging-based methods including ultrasonography-based transient elastography, computed tomography-based texture analysis, and diverse magnetic resonance (MR) imaging-based techniques have been proposed for noninvasive diagnosis and grading of hepatic fibrosis across its entire spectrum of severity. State-of-the-art MR imaging-based techniques in current practice and in development for noninvasive assessment of liver fibrosis include conventional contrast material-enhanced MR imaging, double contrast-enhanced MR imaging, MR elastography, diffusion-weighted imaging, and MR perfusion imaging.

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Mesh:

Year:  2009        PMID: 19959511     DOI: 10.1148/rg.296095512

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  77 in total

1.  Effects of gadoxetic acid on liver elasticity measurement by using magnetic resonance elastography.

Authors:  Utaroh Motosugi; Tomoaki Ichikawa; Hironobu Sou; Katsuhiro Sano; Ali Muhi; Richard L Ehman; Tsutomu Araki
Journal:  Magn Reson Imaging       Date:  2011-09-19       Impact factor: 2.546

2.  Magnetic resonance imaging: Review of imaging techniques and overview of liver imaging.

Authors:  Santhi Maniam; Janio Szklaruk
Journal:  World J Radiol       Date:  2010-08-28

3.  Magnetic Resonance Elastography.

Authors:  Daniel V Litwiller; Yogesh K Mariappan; Richard L Ehman
Journal:  Curr Med Imaging Rev       Date:  2012

Review 4.  Prediction of liver cirrhosis, using diagnostic imaging tools.

Authors:  Suk Keu Yeom; Chang Hee Lee; Sang Hoon Cha; Cheol Min Park
Journal:  World J Hepatol       Date:  2015-08-18

Review 5.  Non-invasive diagnosis of liver fibrosis and cirrhosis.

Authors:  Yoav Lurie; Muriel Webb; Ruth Cytter-Kuint; Shimon Shteingart; Gerardo Z Lederkremer
Journal:  World J Gastroenterol       Date:  2015-11-07       Impact factor: 5.742

6.  Four-dimensional velocity mapping of the hepatic and splanchnic vasculature with radial sampling at 3 tesla: a feasibility study in portal hypertension.

Authors:  A Frydrychowicz; B R Landgraf; E Niespodzany; R W Verma; A Roldán-Alzate; K M Johnson; O Wieben; S B Reeder
Journal:  J Magn Reson Imaging       Date:  2011-07-12       Impact factor: 4.813

7.  Can functional parameters from hepatobiliary phase of gadoxetate MRI predict clinical outcomes in patients with cirrhosis?

Authors:  Kumar Sandrasegaran; Enming Cui; Reem Elkady; Pauley Gasparis; Gitasree Borthakur; Mark Tann; Suthat Liangpunsakul
Journal:  Eur Radiol       Date:  2018-04-12       Impact factor: 5.315

8.  Normal values of liver elasticity measured by real-time tissue elastography (RTE) in healthy infants and children.

Authors:  Buket Selmi; Guido Engelmann; Ulrike Teufel; Saroa El Sakka; Monika Dadrich; Jens-Peter Schenk
Journal:  J Med Ultrason (2001)       Date:  2013-06-11       Impact factor: 1.314

9.  Further exploration of MRI techniques for liver T1rho quantification.

Authors:  Feng Zhao; Jing Yuan; Min Deng; Pu-Xuan Lu; Anil T Ahuja; Yi-Xiang J Wang
Journal:  Quant Imaging Med Surg       Date:  2013-12

Review 10.  [New developments in MRI of the liver].

Authors:  N Bastati-Huber; H Prosch; S Baroud; S Magnaldi; W Schima; A Ba-Ssalamah
Journal:  Radiologe       Date:  2011-08       Impact factor: 0.635

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