Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Precise evaluation of liver histology by computerized morphometry shows that steatosis influences liver stiffness measured by transient elastography in chronic hepatitis C
Journal of Gastroenterology, Volume 49, No. 3, Year 2014
Notification
URL copied to clipboard!
Description
Background: Liver stiffness evaluation (LSE) by Fibroscan is now widely used to assess liver fibrosis in chronic hepatitis C. Liver steatosis is a common lesion in chronic hepatitis C as in other chronic liver diseases, but its influence on LSE remains unclear. We aimed to precisely determine the influence of steatosis on LSE by using quantitative and precise morphometric measurements of liver histology. Methods: 650 patients with chronic hepatitis C, liver biopsy, and LSE were included. Liver specimens were evaluated by optical analysis (Metavir F and A, steatosis grading) and by computerized morphometry to determine the area (%, reflecting quantity) and fractal dimension (FD, reflecting architecture) of liver fibrosis and steatosis. Results: The relationships between LSE and liver histology were better described using morphometry. LSE median was independently linked to fibrosis (area or FD), steatosis (area or FD), activity (serum AST), and IQR/LSE median. Steatosis area ≥4.0 % induced a 50 % increase in LSE result in patients with fibrosis area <9 %. In patients with IQR/LSE median ≤0.30, the rate of F0/1 patients misclassified as F ≥ 2 by Fibroscan was, respectively for steatosis area <4.0 and ≥4.0 %: 12.6 vs 32.4 % (p = 0.003). Steatosis level did not influence LSE median when fibrosis area was ≥9 %, and consequently did not increase the rate of F ≤3 patients misclassified as cirrhotic. Conclusion: A precise evaluation of liver histology by computerized morphometry shows that liver stiffness measured by Fibroscan is linked to liver fibrosis, activity, and also steatosis. High level of steatosis induces misevaluation of liver fibrosis by Fibroscan. © 2013 Springer.
Authors & Co-Authors
Boursier, Jérôme
France, Angers
Chu Angers
France, Angers
Lunam University
de Ĺedinghen, Victor
France, Pessac
Hopital Haut-lévêque C.h.u de Bordeaux
France, Paris
Inserm
Stürm, Nathalie
France, Grenoble
Centre Hospitalier Universitaire de Grenoble
Amrani, Laïla
Morocco, Rabat
Mohammed V University in Rabat
Bacq, Yannick
France, Tours
Centre Hospitalier Regional et Universitaire de Tours
Sandrini, Jérémy
France, Angers
Chu Angers
Le Bail, Brigitte
France, Bordeaux
University Hospital
Chaigneau, Julien
France, Angers
Lunam University
France, Angers
Chu Angers
Zarski, Jean Pierre
France, Grenoble
Centre Hospitalier Universitaire de Grenoble
France, Saint Martin D'heres
Université Grenoble Alpes
Gallois, Yves
France, Angers
Lunam University
France, Angers
Chu Angers
Leroy, Vincent
France, Grenoble
Centre Hospitalier Universitaire de Grenoble
France, Saint Martin D'heres
Université Grenoble Alpes
Al Hamany, Zaitouna
Morocco, Rabat
Mohammed V University in Rabat
Oberti, Frédèric
France, Angers
Chu Angers
France, Angers
Lunam University
Fouchard-Hubert, Isabelle
France, Angers
Chu Angers
France, Angers
Lunam University
Dib, Nina
France, Angers
Chu Angers
Bertrais, Sandrine
France, Angers
Lunam University
Rousselet, Marie Christine
France, Angers
Lunam University
France, Angers
Chu Angers
Calès, Paul
France, Angers
Chu Angers
France, Angers
Lunam University
Poupon, Raoul Y.
Unknown Affiliation
Poujol, A.
Unknown Affiliation
Abergel, Armand
Unknown Affiliation
Bronowicki, Jean Pierre
Unknown Affiliation
Vinel, J. P.
Unknown Affiliation
Métivier, Sophie
Unknown Affiliation
Foucher, Juliette
Unknown Affiliation
Vergniol, Julien
Unknown Affiliation
Goria, Odile
Unknown Affiliation
Maynard-Muet, M.
Unknown Affiliation
Trépo, Christian R.
Unknown Affiliation
Mathurin, Philippe
Unknown Affiliation
Guyader, D.
Unknown Affiliation
Danielou, H.
Unknown Affiliation
Rogeaux, Olivier
Unknown Affiliation
Pol, Stanislas
Unknown Affiliation
Sogni, Philippe
Unknown Affiliation
Tran, Albert
Unknown Affiliation
Calès, Paul
Unknown Affiliation
Marcellin, Patrick M.
Unknown Affiliation
Asselah, Tarik
Unknown Affiliation
Bourlier̀e, Marc
Unknown Affiliation
Oulès, V.
Unknown Affiliation
Larrey, Dominique G.
Unknown Affiliation
Habersetzer, François
Unknown Affiliation
Beaugrand, M.
Unknown Affiliation
Leroy, V.
Unknown Affiliation
Hilleret, M. N.
Unknown Affiliation
Boisson, R. C.
Unknown Affiliation
Gelineau, M. C.
France, Lyon
Hopital de L'hotel-dieu Chu Lyon
Poggi, B.
France, Lyon
Hopital de L'hotel-dieu Chu Lyon
Renversez, Jean Charles
Unknown Affiliation
Trocmé, Candice
Unknown Affiliation
Guéchot, Jérôme
Unknown Affiliation
Lasnier, R.
Unknown Affiliation
Vaubourdolle, Michel
Unknown Affiliation
Voitot, H.
Unknown Affiliation
Vassault, Älnne J.
Unknown Affiliation
Rosenthal-Allieri, A.
Unknown Affiliation
Lavoinne, A.
Unknown Affiliation
Ziegler, F.
Unknown Affiliation
Bartoli, M.
Unknown Affiliation
Lebrun, C.
Unknown Affiliation
Myara, Anne
Unknown Affiliation
Guerber, F.
Unknown Affiliation
Pottier, A.
Unknown Affiliation
Beauvieux, Marie Christine
Unknown Affiliation
Zafrani, Élie Serge
Unknown Affiliation
Sturm, N.
Unknown Affiliation
Bechet, A.
France, Grenoble
Cic
Bosson, Jean Luc
France, Grenoble
Cic
Paris, A.
France, Grenoble
Cic
Royannais, S.
France, Grenoble
Cic
Plages, A.
Unknown Affiliation
Statistics
Citations: 72
Authors: 72
Affiliations: 11
Identifiers
Doi:
10.1007/s00535-013-0819-9
ISSN:
09441174
e-ISSN:
14355922
Research Areas
Infectious Diseases
Study Approach
Quantitative