Literature DB >> 32857259

Magnetic Resonance imaging analysis of liver fibrosis and inflammation: overwhelming gray zones restrict clinical use.

D Marti-Aguado1,2, A Rodríguez-Ortega2, A Alberich-Bayarri2,3, L Marti-Bonmati4,5.   

Abstract

Magnetic resonance (MR) identification and grading of subjects with liver fibrosis and inflammation represents a clinical challenge. MR elastography plays a well-defined role in fibrosis estimation, but its use is not widely available in clinical settings. Given that liver MR is becoming the reference standard for fat and iron quantitation, there is a need to clarify whether there is any role for MR imaging in the concomitant evaluation of fibrosis and inflammation in this setting. This review summarizes the diagnostic estimations of different MR imaging parameters obtained from conventional non-contrast-enhanced multiple b values diffusion-weighted acquisitions, variable flip angles T1 relaxation maps and STIR images. Although some derived parameters have shown a significant correlation to histological scores, a small magnitude of effect with wide overlap across severity grades is the rule. Contrary to fat and iron quantification, the low precision and reproducibility of MR imaging metrics limits its clinical relevance in fibrosis and inflammation assessment. In a sequential clinical approach combining different methodologies, MR imaging has no applicability for ruling-out and low accuracy for ruling-in advanced fibrosis. Thereby, MR elastography remains as the only image method with high diagnostic accuracy for the detection of advanced fibrosis. Until date, inflammation remains in a gray zone where biopsy cannot be replaced, and further investigations are needed. The present review offers an in-depth discuss of the MR imaging diagnostic performance for the evaluation of liver fibrosis and inflammation, highlighting the need for scientific improvements.

Entities:  

Keywords:  Chronic liver disease (CLD); Diffusion-weighted imaging; Inflammation; Liver fibrosis; Magnetic resonance (MR); Short-TI inversion recovery STIR sequence; T1 relaxometry (mapping)

Mesh:

Year:  2020        PMID: 32857259     DOI: 10.1007/s00261-020-02713-1

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  68 in total

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Authors:  Luis Martí-Bonmatí
Journal:  Semin Ultrasound CT MR       Date:  2002-02       Impact factor: 1.875

2.  Liver biopsy analysis has a low level of performance for diagnosis of intermediate stages of fibrosis.

Authors:  Thierry Poynard; Gilles Lenaour; Jean Christophe Vaillant; Frederique Capron; Mona Munteanu; Daniel Eyraud; Yen Ngo; Helmi M'Kada; Vlad Ratziu; Laurent Hannoun; Frederic Charlotte
Journal:  Clin Gastroenterol Hepatol       Date:  2012-02-14       Impact factor: 11.382

3.  Liver biopsy: the best, not the gold standard.

Authors:  Pierre Bedossa; Fabrice Carrat
Journal:  J Hepatol       Date:  2008-11-06       Impact factor: 25.083

Review 4.  Histological grading and staging of chronic hepatitis.

Authors:  K Ishak; A Baptista; L Bianchi; F Callea; J De Groote; F Gudat; H Denk; V Desmet; G Korb; R N MacSween
Journal:  J Hepatol       Date:  1995-06       Impact factor: 25.083

5.  Increasing Health Care Burden of Chronic Liver Disease Compared With Other Chronic Diseases, 2004-2013.

Authors:  Sumeet K Asrani; Maria Kouznetsova; Gerald Ogola; Thomas Taylor; Andrew Masica; Brandon Pope; James Trotter; Patrick Kamath; Fasiha Kanwal
Journal:  Gastroenterology       Date:  2018-05-23       Impact factor: 22.682

6.  Sampling variability of liver biopsy in nonalcoholic fatty liver disease.

Authors:  Vlad Ratziu; Frédéric Charlotte; Agnès Heurtier; Sophie Gombert; Philippe Giral; Eric Bruckert; André Grimaldi; Frédérique Capron; Thierry Poynard
Journal:  Gastroenterology       Date:  2005-06       Impact factor: 22.682

7.  An inexpensive and worldwide available digital image analysis technique for histological fibrosis quantification in chronic hepatitis C.

Authors:  C F F Campos; D D Paiva; H Perazzo; P S Moreira; L F F Areco; C Terra; R Perez; F A F Figueiredo
Journal:  J Viral Hepat       Date:  2013-07-24       Impact factor: 3.728

8.  Computer-assisted image analysis of liver collagen: relationship to Ishak scoring and hepatic venous pressure gradient.

Authors:  Vincenza Calvaruso; Andrew Kenneth Burroughs; Richard Standish; Pinelopi Manousou; Federica Grillo; Gioacchino Leandro; Sergio Maimone; Maria Pleguezuelo; Ilias Xirouchakis; Gian Piero Guerrini; David Patch; Dominic Yu; James O'Beirne; Amar Paul Dhillon
Journal:  Hepatology       Date:  2009-04       Impact factor: 17.425

Review 9.  Burden of liver disease in Europe: Epidemiology and analysis of risk factors to identify prevention policies.

Authors:  Laura Pimpin; Helena Cortez-Pinto; Francesco Negro; Emily Corbould; Jeffrey V Lazarus; Laura Webber; Nick Sheron
Journal:  J Hepatol       Date:  2018-05-17       Impact factor: 25.083

10.  MR imaging in liver cirrhosis: classical and new approaches.

Authors:  Luis Martí-Bonmatí; Fructuoso Delgado
Journal:  Insights Imaging       Date:  2010-08-05
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  1 in total

1.  Rethinking Liver Fibrosis Staging in Patients with Hepatocellular Carcinoma: New Insights from a Large Two-Center Cohort Study.

Authors:  Wei Xu; Bolun Li; Zhanwei Yang; Jingdong Li; Fei Liu; Yu Liu
Journal:  J Hepatocell Carcinoma       Date:  2022-08-12
  1 in total

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