Literature DB >> 15192522

[Diagnosis and quantification of hepatic fibrosis with diffusion weighted MR imaging: preliminary results].

C Aubé1, P X Racineux, J Lebigot, F Oberti, V Croquet, C Argaud, P Calès, C Caron.   

Abstract

PURPOSE: Diagnosis and quantification of hepatic fibrosis are especially important in patients with chronic liver disease. Liver biopsy remains the gold standard for diagnosis of cirrhosis but has several limitations. The purpose of this study was to determine the usefulness of diffusion-weighted MR imaging, for the diagnosis of cirrhosis and quantification of hepatic fibrosis, and to define the best sequence parameters for this evaluation. METHODS AND MATERIALS: Diffusion-weighted imaging using a 1.5 T MR unit was performed in 14 healthy volunteers and 13 cirrhotic patients. Sets of 8 images with different b values (200, 400, 600, and 800 sec/mm2) and different TR (3500 and 5000 ms) were acquired with breath-holding. Apparent diffusion coefficients (ADCs) were calculated. Correlation between Child-Pugh scores, serum hyaluronate concentrations and ADCs were performed.
RESULTS: ADCs were significantly lower in cirrhotic patients (2,055 10-3) compared to controls (2,915 10-3) (p<0.05) when the b value was 200 s/mm2 and the TR was 5000 ms. Significant correlations were observed between Child-Pugh scores and ADCs (p<0.05), and between serum hyaluronate concentrations and ADCs (p<0.05), when the b value was 400 sec/mm2 and the TR was 5000 ms.
CONCLUSION: Our preliminary study showed that the measurement of ADCs has good potential for diagnosis and quantification of hepatic fibrosis, especially when using b values of 200 sec/mm2 and 400 sec/mm2.

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Year:  2004        PMID: 15192522     DOI: 10.1016/s0221-0363(04)97582-8

Source DB:  PubMed          Journal:  J Radiol        ISSN: 0221-0363


  28 in total

1.  Non-invasive evaluation of hepatic fibrosis using magnetic resonance and ultrasound techniques.

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2.  The diagnostic efficacy of quantitative liver MR imaging with diffusion-weighted, SWI, and hepato-specific contrast-enhanced sequences in staging liver fibrosis--a multiparametric approach.

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3.  Diagnosis of cirrhosis with intravoxel incoherent motion diffusion MRI and dynamic contrast-enhanced MRI alone and in combination: preliminary experience.

Authors:  Jignesh Patel; Eric E Sigmund; Henry Rusinek; Marcel Oei; James S Babb; Bachir Taouli
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4.  Diffusion-weighted magnetic resonance imaging for the staging of liver fibrosis.

Authors:  Susanne Bonekamp; Michael S Torbenson; Ihab R Kamel
Journal:  J Clin Gastroenterol       Date:  2011 Nov-Dec       Impact factor: 3.062

5.  Quantitative evaluation of diffusion-weighted magnetic resonance imaging of focal hepatic lesions.

Authors:  Xi-Jie Sun; Xian-Yue Quan; Fan-Heng Huang; Yi-Kai Xu
Journal:  World J Gastroenterol       Date:  2005-11-07       Impact factor: 5.742

6.  Diffusion-weighted MRI in the differential diagnosis of uterine endometrial cavity tumors.

Authors:  Omer Karakas; Ekrem Karakas; Ferit Dogan; Nihat Kilicaslan; Aysun Camuzcuoglu; Adnan Incebiyik; Hakan Camuzcuoglu
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7.  Gene expression and MR diffusion-weighted imaging after chemoembolization in rabbit liver VX-2 tumor model.

Authors:  You-Hong Yuan; En-Hua Xiao; Jian-Bin Liu; Zhong He; Ke Jin; Cong Ma; Jun Xiang; Jian-Hua Xiao; Wei-Jian Chen
Journal:  World J Gastroenterol       Date:  2008-09-28       Impact factor: 5.742

8.  Intra-voxel incoherent motion MRI in rodent model of diethylnitrosamine-induced liver fibrosis.

Authors:  Yue Zhang; Ning Jin; Jie Deng; Yang Guo; Sarah B White; Guang-Yu Yang; Reed A Omary; Andrew C Larson
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9.  Assessment of hepatic fibrosis with magnetic resonance elastography.

Authors:  Meng Yin; Jayant A Talwalkar; Kevin J Glaser; Armando Manduca; Roger C Grimm; Phillip J Rossman; Jeff L Fidler; Richard L Ehman
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Review 10.  Post-operative imaging in liver transplantation: state-of-the-art and future perspectives.

Authors:  Rossano Girometti; Giuseppe Como; Massimo Bazzocchi; Chiara Zuiani
Journal:  World J Gastroenterol       Date:  2014-05-28       Impact factor: 5.742

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