Literature DB >> 24914387

Controlled attenuation parameter for evaluating liver steatosis in chronic viral hepatitis.

Giovanna Ferraioli1, Carmine Tinelli1, Raffaella Lissandrin1, Mabel Zicchetti1, Barbara Dal Bello1, Gaetano Filice1, Carlo Filice1.   

Abstract

AIM: To assess the performance of controlled attenuation parameter (CAP) in patients with chronic viral hepatitis.
METHODS: CAP is a new technique that measures the attenuation in the liver of an ultrasound beam, which is directly related to lipid accumulation. Consecutive patients undergoing liver biopsy for chronic viral hepatitis were studied using the M probe of FibroScan device (Echosens, Paris, France). The device estimates liver steatosis in decibel per meter (dB/m). An expert operator performed all measurements. Steatosis was graded according to Kleiner's classification. Pearson or Spearman rank coefficient was used to test correlation between two study variables. Linear regression was used for multivariate model to assess the association between CAP and other variables. Receiver operating characteristic curve analysis was performed to calculate area under the curve (AUROC) for S0 vs S1-S3 and S0-S1 vs S2-S3.
RESULTS: 115 subjects (85 males and 30 females) were prospectively studied. The mean values of CAP were 227.1 ± 43.1 for S0; 254.6 ± 38.9 for S1; 297.8 ± 49.4 dB/m for S2-S3. In univariate analysis CAP showed a significant correlation with age, body mass index (BMI), degree of steatosis, and cholesterol. Multivariate regression analysis confirmed the correlation with the degree of steatosis [coefficient, 1.2 (0.60-1.83); P < 10(-5)] and BMI [coefficient, 4.1 (0.5-7.8); P = 0.03] but not with all other variables. Optimal cutoff values for S ≥ 1 and S ≥ 2 were 219 dB/m [AUROC, 0.76 (0.67-0.84); sensitivity, 91.1% (78.8-97.5); specificity, 51.6% (38.7-64.2); positive predictive value, 56.9% (44.7-68.6); negative predictive value, 89.2% (74.3-97.0); positive likelihood ratio, 1.88 (1.4-2.5); negative likelihood ratio, 0.17 (0.07-0.5)] and 296 dB/m [AUROC, 0.82 (0.74-0.89); sensitivity, 60.0% (32.3-83.7); specificity, 91.5% (83.9-96.3); positive predictive value, 52.9% (27.8-77.0); negative predictive value, 93.5% (86.3-97.6); positive likelihood ratio, 7.05 (3.2-15.4); negative likelihood ratio, 0.44 (0.2-0.8)], respectively.
CONCLUSION: Controlled attenuation parameter could be a useful tool in the clinical management of patients with chronic viral hepatitis for detecting liver steatosis.

Entities:  

Keywords:  Chronic liver disease; Controlled attenuation parameter; Liver steatosis; Noninvasive techniques; Transient elastography

Mesh:

Year:  2014        PMID: 24914387      PMCID: PMC4047351          DOI: 10.3748/wjg.v20.i21.6626

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  30 in total

1.  Novel controlled attenuation parameter for noninvasive assessment of steatosis using Fibroscan(®): validation in chronic hepatitis C.

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Journal:  J Viral Hepat       Date:  2011-10-13       Impact factor: 3.728

Review 2.  Epidemiology of nonalcoholic fatty liver.

Authors:  Constance E Ruhl; James E Everhart
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3.  Controlled attenuation parameter (CAP): a novel VCTE™ guided ultrasonic attenuation measurement for the evaluation of hepatic steatosis: preliminary study and validation in a cohort of patients with chronic liver disease from various causes.

Authors:  Magali Sasso; Michel Beaugrand; Victor de Ledinghen; Catherine Douvin; Patrick Marcellin; Raoul Poupon; Laurent Sandrin; Véronique Miette
Journal:  Ultrasound Med Biol       Date:  2010-09-27       Impact factor: 2.998

4.  Reproducibility of transient elastography in the evaluation of liver fibrosis in patients with chronic liver disease.

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6.  Diagnostic accuracy of FibroScan and comparison to liver fibrosis biomarkers in chronic viral hepatitis: a multicenter prospective study (the FIBROSTIC study).

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7.  Factors of accuracy of transient elastography (fibroscan) for the diagnosis of liver fibrosis in chronic hepatitis C.

Authors:  Damien Lucidarme; Juliette Foucher; Brigitte Le Bail; Julien Vergniol; Laurent Castera; Clotilde Duburque; Gérard Forzy; Bernard Filoche; Patrice Couzigou; Victor de Lédinghen
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8.  Interplay between oxidative stress and hepatic steatosis in the progression of chronic hepatitis C.

Authors:  Matteo Vidali; Marie-Francoise Tripodi; Alesandra Ivaldi; Rosa Zampino; Giuseppa Occhino; Luciano Restivo; Salvatore Sutti; Aldo Marrone; Giuseppe Ruggiero; Emanuele Albano; Luigi E Adinolfi
Journal:  J Hepatol       Date:  2007-12-03       Impact factor: 25.083

9.  Liver steatosis in patients with chronic hepatitis B infection: host and viral risk factors.

Authors:  Mohammad Minakari; Mahsa Molaei; Hamid Mohaghegh Shalmani; Amir Houshang Mohammad Alizadeh; Amir Hosein Davarpanah Jazi; Nosratollah Naderi; Ahmad Shavakhi; Reza Mashayekhi; Mohammad Reza Zali
Journal:  Eur J Gastroenterol Hepatol       Date:  2009-05       Impact factor: 2.566

10.  Hepatitis C virus infection: molecular pathways to steatosis, insulin resistance and oxidative stress.

Authors:  Sophie Clément; Stéphanie Pascarella; Francesco Negro
Journal:  Viruses       Date:  2009-08-11       Impact factor: 5.818

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  10 in total

Review 1.  Noninvasive assessment of alcoholic liver disease using unidimensional transient elastography (Fibroscan(®)).

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2.  Controlled attenuation parameter using the FibroScan® XL probe for quantification of hepatic steatosis for non-alcoholic fatty liver disease in an Asian population.

Authors:  Wah-Kheong Chan; Nik Raihan Nik Mustapha; Grace Lai-Hung Wong; Vincent Wai-Sun Wong; Sanjiv Mahadeva
Journal:  United European Gastroenterol J       Date:  2016-06-23       Impact factor: 4.623

Review 3.  Non-invasive diagnosis of hepatic steatosis.

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Journal:  Hepatol Int       Date:  2016-10-25       Impact factor: 6.047

4.  Controlled attenuation parameter for assessment of hepatic steatosis grades: a diagnostic meta-analysis.

Authors:  Yuee Wang; Qingqi Fan; Ting Wang; Jia Wen; Hong Wang; Tiansong Zhang
Journal:  Int J Clin Exp Med       Date:  2015-10-15

5.  Quantification of Liver Fibrosis, Steatosis, and Viscosity Using Multiparametric Ultrasound in Patients with Non-Alcoholic Liver Disease: A "Real-Life" Cohort Study.

Authors:  Alexandru Popa; Felix Bende; Roxana Șirli; Alina Popescu; Victor Bâldea; Raluca Lupușoru; Radu Cotrău; Renata Fofiu; Camelia Foncea; Ioan Sporea
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Review 6.  Ultrasound-based techniques for the diagnosis of liver steatosis.

Authors:  Giovanna Ferraioli; Livia Beatriz Soares Monteiro
Journal:  World J Gastroenterol       Date:  2019-10-28       Impact factor: 5.742

Review 7.  Controlled Attenuation Parameter for Quantification of Steatosis: Which Cut-Offs to Use?

Authors:  Roxana Sirli; Ioan Sporea
Journal:  Can J Gastroenterol Hepatol       Date:  2021-03-26

8.  Quantification of Liver Fat Content with the iATT Algorithm: Correlation with Controlled Attenuation Parameter.

Authors:  Giovanna Ferraioli; Ambra Raimondi; Laura Maiocchi; Annalisa De Silvestri; Carlo Filice
Journal:  Diagnostics (Basel)       Date:  2022-07-23

9.  Controlled attenuation parameter value-based diagnostic algorithm improves the accuracy of liver stiffness measurement in chronic hepatitis B patients.

Authors:  Yaoxin Fan; Lin Wang; Yang Ding; Qiuju Sheng; Chong Zhang; Yanwei Li; Chao Han; Xiaoguang Dou
Journal:  Aging (Albany NY)       Date:  2020-08-24       Impact factor: 5.682

Review 10.  Quantitative assessment of liver steatosis using ultrasound controlled attenuation parameter (Echosens).

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