Literature DB >> 30078038

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

Suraj D Serai1,2, Andrew T Trout3, Alexander Miethke4, Eric Diaz3, Stavra A Xanthakos4, Jonathan R Dillman3.   

Abstract

Chronic injury to the liver leads to inflammation and hepatocyte necrosis, which when untreated can lead to myofibroblast activation and fibrogenesis with deposition of fibrous tissue. Over time, liver fibrosis can accumulate and lead to cirrhosis and end-stage liver disease with associated portal hypertension and liver failure. Detection and accurate measurement of the severity of liver fibrosis are important for assessing disease severity and progression, directing patient management, and establishing prognosis. Liver biopsy, generally considered the clinical standard of reference for detecting and measuring liver fibrosis, is invasive and has limitations, including sampling error, relatively high cost, and possible complications. For these reasons, liver biopsy is suboptimal for fibrosis screening, longitudinal monitoring, and assessing therapeutic efficacy. A variety of established and emerging qualitative and quantitative noninvasive MRI methods for detecting and staging liver fibrosis might ultimately serve these purposes. In this article, we review multiple MRI methods for detecting and measuring liver fibrosis and discuss the diagnostic performance and specific strengths and limitations of the various techniques.

Entities:  

Keywords:  Child; Fibrosis; Liver; Magnetic resonance elastography; Magnetic resonance imaging; Quantitative

Mesh:

Year:  2018        PMID: 30078038     DOI: 10.1007/s00247-018-4083-2

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  80 in total

1.  Utility of diffusion-weighted imaging in the evaluation of liver fibrosis.

Authors:  Ayse Ahsen Bakan; Ercan Inci; Selim Bakan; Suut Gokturk; Tan Cimilli
Journal:  Eur Radiol       Date:  2011-10-09       Impact factor: 5.315

2.  Artifacts in T1 rho-weighted imaging: compensation for B(1) and B(0) field imperfections.

Authors:  Walter R T Witschey; Arijitt Borthakur; Mark A Elliott; Eric Mellon; Sampreet Niyogi; Daniel J Wallman; Chenyang Wang; Ravinder Reddy
Journal:  J Magn Reson       Date:  2007-01-26       Impact factor: 2.229

3.  Relationship of MR elastography determined liver stiffness with cardiac function after Fontan palliation.

Authors:  Daniel B Wallihan; Daniel J Podberesky; Bradley S Marino; Joshua S Sticka; Suraj Serai
Journal:  J Magn Reson Imaging       Date:  2013-11-08       Impact factor: 4.813

4.  Simple recipe for accurate T(2) quantification with multi spin-echo acquisitions.

Authors:  Daniel Neumann; Martin Blaimer; Peter M Jakob; Felix A Breuer
Journal:  MAGMA       Date:  2014-03-19       Impact factor: 2.310

5.  Liver Surface Nodularity Quantification from Routine CT Images as a Biomarker for Detection and Evaluation of Cirrhosis.

Authors:  Andrew D Smith; Cody R Branch; Kevin Zand; Charu Subramony; Haowei Zhang; Katherine Thaggard; Richard Hosch; Jason Bryan; Amit Vasanji; Michael Griswold; Xu Zhang
Journal:  Radiology       Date:  2016-04-18       Impact factor: 11.105

6.  Comparison of T2, T1rho, and diffusion metrics in assessment of liver fibrosis in rats.

Authors:  Hui Zhang; Qihua Yang; Taihui Yu; Xiaodong Chen; Jingwen Huang; Cui Tan; Biling Liang; Hua Guo
Journal:  J Magn Reson Imaging       Date:  2016-08-16       Impact factor: 4.813

7.  T2 relaxation time is related to liver fibrosis severity.

Authors:  Alexander R Guimaraes; Luiz Siqueira; Ritika Uppal; Jamu Alford; Bryan C Fuchs; Suguru Yamada; Kenneth Tanabe; Raymond T Chung; Gregory Lauwers; Michael L Chew; Giles W Boland; Duhyant V Sahani; Mark Vangel; Peter F Hahn; Peter Caravan
Journal:  Quant Imaging Med Surg       Date:  2016-04

8.  T1ρ MRI of healthy and fibrotic human livers at 1.5 T.

Authors:  Anup Singh; Damodar Reddy; Mohammad Haris; Kejia Cai; K Rajender Reddy; Hari Hariharan; Ravinder Reddy
Journal:  J Transl Med       Date:  2015-09-08       Impact factor: 5.531

Review 9.  Promising Therapy Candidates for Liver Fibrosis.

Authors:  Ping Wang; Yukinori Koyama; Xiao Liu; Jun Xu; Hsiao-Yen Ma; Shuang Liang; In H Kim; David A Brenner; Tatiana Kisseleva
Journal:  Front Physiol       Date:  2016-02-16       Impact factor: 4.566

10.  Multiparametric magnetic resonance imaging predicts clinical outcomes in patients with chronic liver disease.

Authors:  Michael Pavlides; Rajarshi Banerjee; Joanne Sellwood; Catherine J Kelly; Matthew D Robson; Jonathan C Booth; Jane Collier; Stefan Neubauer; Eleanor Barnes
Journal:  J Hepatol       Date:  2015-11-10       Impact factor: 25.083

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  11 in total

1.  Magnetic resonance imaging T1 relaxation times for the liver, pancreas and spleen in healthy children at 1.5 and 3 tesla.

Authors:  Leah A Gilligan; Jonathan R Dillman; Jean A Tkach; Stavra A Xanthakos; Jacqueline K Gill; Andrew T Trout
Journal:  Pediatr Radiol       Date:  2019-05-02

2.  Diffusion tensor imaging of the kidney in healthy controls and in children and young adults with autosomal recessive polycystic kidney disease.

Authors:  Suraj D Serai; Hansel J Otero; Juan S Calle-Toro; Jeffrey I Berman; Kassa Darge; Erum A Hartung
Journal:  Abdom Radiol (NY)       Date:  2019-05

3.  MR Elastography of the Abdomen: Basic Concepts.

Authors:  Suraj D Serai; Meng Yin
Journal:  Methods Mol Biol       Date:  2021

4.  Liver cirrhosis in children - the role of imaging in the diagnostic pathway.

Authors:  Jochen Herrmann; Philippe Petit; Enke Grabhorn; Alexander Lenz; Julian Jürgens; Stéphanie Franchi-Albella
Journal:  Pediatr Radiol       Date:  2022-08-30

5.  Multiparametric quantitative renal MRI in children and young adults: comparison between healthy individuals and patients with chronic kidney disease.

Authors:  Jonathan R Dillman; Stefanie W Benoit; Deep B Gandhi; Andrew T Trout; Jean A Tkach; Katherine VandenHeuvel; Prasad Devarajan
Journal:  Abdom Radiol (NY)       Date:  2022-03-02

6.  DeepLiverNet: a deep transfer learning model for classifying liver stiffness using clinical and T2-weighted magnetic resonance imaging data in children and young adults.

Authors:  Hailong Li; Lili He; Jonathan A Dudley; Thomas C Maloney; Elanchezhian Somasundaram; Samuel L Brady; Nehal A Parikh; Jonathan R Dillman
Journal:  Pediatr Radiol       Date:  2020-10-13

Review 7.  Basics of magnetic resonance imaging and quantitative parameters T1, T2, T2*, T1rho and diffusion-weighted imaging.

Authors:  Suraj D Serai
Journal:  Pediatr Radiol       Date:  2021-04-15

8.  Hepatic magnetic resonance T1-mapping and extracellular volume fraction compared to shear-wave elastography in pediatric Fontan-associated liver disease.

Authors:  Charlotte de Lange; Karl Julius Thrane; Kristian S Thomassen; Oliver Geier; Bac Nguyen; Anders Tomterstad; Lil-Sofie Ording Müller; Erik Thaulow; Runar Almaas; Gaute Døhlen; Kathrine Rydén Suther; Thomas Möller
Journal:  Pediatr Radiol       Date:  2020-10-09

Review 9.  Imaging of complications following Fontan circulation in children - diagnosis and surveillance.

Authors:  Charlotte de Lange
Journal:  Pediatr Radiol       Date:  2020-05-28

Review 10.  Treatment of primary sclerosing cholangitis in children.

Authors:  Trevor J Laborda; M Kyle Jensen; Marianne Kavan; Mark Deneau
Journal:  World J Hepatol       Date:  2019-01-27
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