Literature DB >> 18386129

In vivo, high-field, 3-Tesla 1H MR spectroscopic assessment of liver fibrosis in HCV-correlated chronic liver disease.

A Orlacchio1, F Bolacchi, M Angelico, A Mancini, V Cozzolino, M Cadioli, G Simonetti.   

Abstract

PURPOSE: Histology is the gold standard by which to diagnose and score hepatic fibrosis. Recently, it has been proposed that hepatic magnetic resonance spectroscopy (MRS) could provide an accurate representation of the disease process. The aim of this study was to correlate the in vivo high-field (3-Tesla) (1)H MRS features of noncirrhotic chronic hepatitis C patients stratified according to the histopathological stages of fibrosis. MATERIALS AND
METHOD: Six healthy controls and 23 patients with biopsy-proven precirrhotic hepatitic C virus (HCV)-related liver disease were included. The subdivision of patients into the histopathological stages of fibrosis was based on the Ishak fibrosis (F) scoring system: mild hepatitis (0< or =F< or =1), moderate (2< or =F< or =3) and severe hepatitis (4< or =F< or =5). For correlation analysis, the Spearman nonparametric test was used. Differences between groups were calculated with the nonparametric Mann-Whitney U test. A p value <0.05 was considered significant. The particular metabolite content was evaluated in relative units (RU), according to the pattern metabolite/H(2)O=area of the metabolite x1,000/area of nonsuppressed water. RESULT: A significant statistical difference was observed between control vs. mild and moderate vs. severe disease severity in choline-containing compounds (CCC)/H(2)O ratios (p=0.0379 and p=0.0003) and in glutamine/glutamate (Glx)/H(2)O ratios (p=0.004 and p<0.0001), whereas a statistically significant difference in the lipid/H(2)O ratios was achieved only between control vs. moderate and between moderate vs. severe stages of disease (p=0.011 and p=0.0030).
CONCLUSION: High-field (1)H MRS successfully differentiates between mild/moderate vs. severe stages of chronic hepatitis and can be considered a complement to most standard imaging protocols in the liver.

Entities:  

Mesh:

Year:  2008        PMID: 18386129     DOI: 10.1007/s11547-008-0239-8

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  21 in total

1.  Liver biopsy:complications and risk factors.

Authors:  Pornpen Thampanitchawong; Teerha Piratvisuth
Journal:  World J Gastroenterol       Date:  1999-08       Impact factor: 5.742

2.  Chronic hepatitis: in vivo proton MR spectroscopic evaluation of the liver and correlation with histopathologic findings.

Authors:  S G Cho; M Y Kim; H J Kim; Y S Kim; W Choi; S H Shin; K C Hong; Y B Kim; J H Lee; C H Suh
Journal:  Radiology       Date:  2001-12       Impact factor: 11.105

Review 3.  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

Review 4.  Natural history of HCV infection.

Authors:  T Poynard; V Ratziu; Y Benhamou; P Opolon; P Cacoub; P Bedossa
Journal:  Baillieres Best Pract Res Clin Gastroenterol       Date:  2000-04

5.  The relationship of in vivo 31P MR spectroscopy to histology in chronic hepatitis C.

Authors:  Adrian K P Lim; Nayna Patel; Gavin Hamilton; Joseph V Hajnal; Robert D Goldin; Simon D Taylor-Robinson
Journal:  Hepatology       Date:  2003-04       Impact factor: 17.425

6.  A study of patients with alcoholic liver disease by 31P nuclear magnetic resonance spectroscopy.

Authors:  P W Angus; R M Dixon; B Rajagopalan; N G Ryley; K J Simpson; T J Peters; D P Jewell; G K Radda
Journal:  Clin Sci (Lond)       Date:  1990-01       Impact factor: 6.124

7.  Management of chronic hepatitis C: clinical audit of biopsy based management algorithm.

Authors:  G R Foster; R D Goldin; J Main; I Murray-Lyon; S Hargreaves; H C Thomas
Journal:  BMJ       Date:  1997-08-23

Review 8.  Histopathologic findings in chronic hepatitis C.

Authors:  H P Fischer; E Willsch; E Bierhoff; U Pfeifer
Journal:  J Hepatol       Date:  1996       Impact factor: 25.083

9.  Phosphorus-31 magnetic resonance spectroscopy of the human liver using chemical shift imaging techniques.

Authors:  I J Cox; D K Menon; J Sargentoni; D J Bryant; A G Collins; G A Coutts; R A Iles; J D Bell; I S Benjamin; S Gilbey
Journal:  J Hepatol       Date:  1992-03       Impact factor: 25.083

10.  Effect of functional grade and etiology on in vivo hepatic phosphorus-31 magnetic resonance spectroscopy in cirrhosis: biochemical basis of spectral appearances.

Authors:  D K Menon; J Sargentoni; S D Taylor-Robinson; J D Bell; I J Cox; D J Bryant; G A Coutts; K Rolles; A K Burroughs; M Y Morgan
Journal:  Hepatology       Date:  1995-02       Impact factor: 17.425

View more
  7 in total

Review 1.  Magnetic resonance spectroscopy to study hepatic metabolism in diffuse liver diseases, diabetes and cancer.

Authors:  Pieter C Dagnelie; Susanne Leij-Halfwerk
Journal:  World J Gastroenterol       Date:  2010-04-07       Impact factor: 5.742

2.  Quantitative proton MR spectroscopy as a biomarker of tumor necrosis in the rabbit VX2 liver tumor.

Authors:  Manon Buijs; Josephina A Vossen; Jean-Francois H Geschwind; Nouha Salibi; Li Pan; Veronica Prieto Ventura; Eleni Liapi; Kwang Hun Lee; Ihab R Kamel
Journal:  J Vasc Interv Radiol       Date:  2011-05-28       Impact factor: 3.464

Review 3.  [Functional MR imaging of the liver].

Authors:  A Wibmer; R Nolz; M Trauner; A Ba-Ssalamah
Journal:  Radiologe       Date:  2015-12       Impact factor: 0.635

4.  Application of Single Voxel 1H Magnetic Resonance Spectroscopy in Hepatic Benign and Malignant Lesions.

Authors:  Zifeng Yang; Shiqiang Sun; Yuanli Chen; Rui Li
Journal:  Med Sci Monit       Date:  2016-12-19

5.  Magnetic resonance imaging and spectroscopy for differential assessment of liver abnormalities induced by Opisthorchis felineus in an animal model.

Authors:  Alexandra G Pershina; Vladimir V Ivanov; Lina V Efimova; Oleg B Shevelev; Sergey V Vtorushin; Tatjana V Perevozchikova; Alexey E Sazonov; Ludmila M Ogorodova
Journal:  PLoS Negl Trop Dis       Date:  2017-07-14

6.  Comparison of MR-PWI quantitative and semi-quantitative parameters for the evaluation of liver fibrosis.

Authors:  Ke Ding; Manrong Liu; Xue Wei; Ruisui Huang; Jiong Chen; Shanjin Lu; Dacheng Wang; Wei Lu
Journal:  BMC Med Imaging       Date:  2021-01-06       Impact factor: 1.930

7.  Diagnostic value of 3.0T (1)H MRS with choline-containing compounds ratio (∆CCC) in primary malignant hepatic tumors.

Authors:  Li Zhang; Xinming Zhao; Han Ouyang; Shuang Wang; Chunwu Zhou
Journal:  Cancer Imaging       Date:  2016-08-22       Impact factor: 3.909

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.