Literature DB >> 24972497

Real-time elastography in the assessment of liver fibrosis: a review of qualitative and semi-quantitative methods for elastogram analysis.

Francesco Paparo1, Francesco Corradi2, Luca Cevasco3, Matteo Revelli3, Andrea Marziano4, Lucio Molini4, Giovanni Cenderello5, Giovanni Cassola5, Gian Andrea Rollandi4.   

Abstract

Despite its invasiveness, liver biopsy is still considered the gold standard for the assessment of hepatic fibrosis. Non-invasive ultrasound-based techniques are increasingly employed to assess parenchymal stiffness and the progression of chronic diffuse liver diseases. Real-time elastography is a rapidly evolving technique that can reveal the elastic properties of tissues. This review examines qualitative and semi-quantitative methods developed for analysis of real-time liver elastograms, to estimate parenchymal stiffness and, indirectly, the stage of fibrosis. Qualitative analysis is the most immediate approach for elastogram analysis, but this method increases intra- and inter-observer variability, which is seen as a major limitation of real-time elastography. Semi-quantitative methods include analysis of the histogram derived from color-coded maps, as well as calculation of the elastic ratio and fibrosis index.
Copyright © 2014 World Federation for Ultrasound in Medicine & Biology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Elastic ratio; Fibrosis index; Liver fibrosis; Real-time elastography

Mesh:

Year:  2014        PMID: 24972497     DOI: 10.1016/j.ultrasmedbio.2014.03.021

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  9 in total

1.  Strain elastography for noninvasive assessment of liver fibrosis: A prospective study with histological comparison.

Authors:  Cheng Fang; Sanjiv Virdee; Joseph Jacob; Olivia Rufai; Kosh Agarwal; Alberto Quaglia; Daniel J Quinlan; Paul S Sidhu
Journal:  Ultrasound       Date:  2019-07-23

2.  Noninvasive Measures of Liver Fibrosis and Severity of Liver Disease.

Authors:  Catherine Lucero; Robert S Brown
Journal:  Gastroenterol Hepatol (N Y)       Date:  2016-01

3.  Ultrasound Image Computerized Analysis for Non-invasive Quantitative Evaluation of Hepatic Fibrosis.

Authors:  Georgiana Nagy; Maria Adriana Neag; Mihaela Gordan; Doinita Crisan; Mircea Petru; Romeo Chira
Journal:  Turk J Gastroenterol       Date:  2021-10       Impact factor: 1.852

4.  A novel evaluation of density differences in subcutaneous abdominal adipose tissue layers in pregnancy using elastography.

Authors:  Narelle Kennedy; Ann Quinton; Michael John Peek; Kristy Robledo; Ron Benzie; Ralph Nanan
Journal:  Australas J Ultrasound Med       Date:  2018-06-25

Review 5.  Radiologic imaging of the renal parenchyma structure and function.

Authors:  Nicolas Grenier; Pierre Merville; Christian Combe
Journal:  Nat Rev Nephrol       Date:  2016-04-12       Impact factor: 28.314

6.  Diagnostic value of optimised real-time sonoelastography in the assessment of liver fibrosis in chronic hepatitis B and C.

Authors:  Katarzyna Kalita; Krzysztof Filipczak; Małgorzata Bieńkiewicz; Wojciech Deroń; Zbigniew Deroń; Anna Piekarska; Anna Płachcińska; Jacek Kuśmierek
Journal:  Prz Gastroenterol       Date:  2016-07-22

7.  Quantitative ultrasound elastography and serum ferritin level in dogs with liver tumors.

Authors:  Somkiat Huaijantug; Paranee Yatmark; Phummarin Phophug; Mookrawee Worapakdee; Alan Phutrakul; Pruksa Julapanthong; Krittin Chuaychoo
Journal:  J Adv Vet Anim Res       Date:  2020-09-13

8.  Real-time elastography as a noninvasive assessment of liver fibrosis in chronic hepatitis C Egyptian patients: a prospective study.

Authors:  Lamiaa Mobarak; Mohammed M Nabeel; Ehsan Hassan; Dalia Omran; Zeinab Zakaria
Journal:  Ann Gastroenterol       Date:  2016-04-19

9.  Acoustic structure quantification by using ultrasound Nakagami imaging for assessing liver fibrosis.

Authors:  Po-Hsiang Tsui; Ming-Chih Ho; Dar-In Tai; Ying-Hsiu Lin; Chiao-Yin Wang; Hsiang-Yang Ma
Journal:  Sci Rep       Date:  2016-09-08       Impact factor: 4.379

  9 in total

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