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Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C

BACKGROUND: Liver fibrosis staging provides prognostic value, although hampered by observer variability. We used digital analysis to develop diagnostic morphometric scores for significant fibrosis, cirrhosis and fibrosis staging in chronic hepatitis C. MATERIALS AND METHODS: We automated the measure...

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Autores principales: Calès, Paul, Chaigneau, Julien, Hunault, Gilles, Michalak, Sophie, Cavaro-Menard, Christine, Fasquel, Jean-Baptiste, Bertrais, Sandrine, Rousselet, Marie-Christine
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466784/
https://www.ncbi.nlm.nih.gov/pubmed/26110088
http://dx.doi.org/10.4103/2153-3539.157782
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author Calès, Paul
Chaigneau, Julien
Hunault, Gilles
Michalak, Sophie
Cavaro-Menard, Christine
Fasquel, Jean-Baptiste
Bertrais, Sandrine
Rousselet, Marie-Christine
author_facet Calès, Paul
Chaigneau, Julien
Hunault, Gilles
Michalak, Sophie
Cavaro-Menard, Christine
Fasquel, Jean-Baptiste
Bertrais, Sandrine
Rousselet, Marie-Christine
author_sort Calès, Paul
collection PubMed
description BACKGROUND: Liver fibrosis staging provides prognostic value, although hampered by observer variability. We used digital analysis to develop diagnostic morphometric scores for significant fibrosis, cirrhosis and fibrosis staging in chronic hepatitis C. MATERIALS AND METHODS: We automated the measurement of 44 classical and new morphometric descriptors. The reference was histological METAVIR fibrosis (F) staging (F0 to F4) on liver biopsies. The derivation population included 416 patients and liver biopsies ≥20 mm-length. Two validation population included 438 patients. RESULTS: In the derivation population, the area under the receiver operating characteristic (AUROC) for clinically significant fibrosis (F stage ≥2) of a logistic score combining 5 new descriptors (stellar fibrosis area, edge linearity, bridge thickness, bridge number, nodularity) was 0.957. The AUROC for cirrhosis of 6 new descriptors (edge linearity, nodularity, portal stellar fibrosis area, portal distance, granularity, fragmentation) was 0.994. Predicted METAVIR F staging combining 8 morphometric descriptors agreed well with METAVIR F staging by pathologists: κ = 0.868. Morphometric score of clinically significant fibrosis had a higher correlation with porto-septal fibrosis area (r(s) = 0.835) than METAVIR F staging (r(s) = 0.756, P < 0.001) and the same correlations with fibrosis biomarkers, e.g., serum hyaluronate: r(s) = 0.484 versus r(s) = 0.476 for METAVIR F (P = 0.862). In the validation population, the AUROCs of clinically significant fibrosis and cirrhosis scores were, respectively: 0.893 and 0.993 in 153 patients (biopsy < 20 mm); 0.955 and 0.994 in 285 patients (biopsy ≥ 20 mm). The three morphometric diagnoses agreed with consensus expert reference as well as or better than diagnoses by first-line pathologists in 285 patients, respectively: significant fibrosis: 0.733 versus 0.733 (κ), cirrhosis: 0.900 versus 0.827, METAVIR F: 0.881 versus 0.865. CONCLUSION: The new automated morphometric scores provide reproducible and accurate diagnoses of fibrosis stages via “virtual expert pathologist.”
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spelling pubmed-44667842015-06-24 Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C Calès, Paul Chaigneau, Julien Hunault, Gilles Michalak, Sophie Cavaro-Menard, Christine Fasquel, Jean-Baptiste Bertrais, Sandrine Rousselet, Marie-Christine J Pathol Inform Original Article BACKGROUND: Liver fibrosis staging provides prognostic value, although hampered by observer variability. We used digital analysis to develop diagnostic morphometric scores for significant fibrosis, cirrhosis and fibrosis staging in chronic hepatitis C. MATERIALS AND METHODS: We automated the measurement of 44 classical and new morphometric descriptors. The reference was histological METAVIR fibrosis (F) staging (F0 to F4) on liver biopsies. The derivation population included 416 patients and liver biopsies ≥20 mm-length. Two validation population included 438 patients. RESULTS: In the derivation population, the area under the receiver operating characteristic (AUROC) for clinically significant fibrosis (F stage ≥2) of a logistic score combining 5 new descriptors (stellar fibrosis area, edge linearity, bridge thickness, bridge number, nodularity) was 0.957. The AUROC for cirrhosis of 6 new descriptors (edge linearity, nodularity, portal stellar fibrosis area, portal distance, granularity, fragmentation) was 0.994. Predicted METAVIR F staging combining 8 morphometric descriptors agreed well with METAVIR F staging by pathologists: κ = 0.868. Morphometric score of clinically significant fibrosis had a higher correlation with porto-septal fibrosis area (r(s) = 0.835) than METAVIR F staging (r(s) = 0.756, P < 0.001) and the same correlations with fibrosis biomarkers, e.g., serum hyaluronate: r(s) = 0.484 versus r(s) = 0.476 for METAVIR F (P = 0.862). In the validation population, the AUROCs of clinically significant fibrosis and cirrhosis scores were, respectively: 0.893 and 0.993 in 153 patients (biopsy < 20 mm); 0.955 and 0.994 in 285 patients (biopsy ≥ 20 mm). The three morphometric diagnoses agreed with consensus expert reference as well as or better than diagnoses by first-line pathologists in 285 patients, respectively: significant fibrosis: 0.733 versus 0.733 (κ), cirrhosis: 0.900 versus 0.827, METAVIR F: 0.881 versus 0.865. CONCLUSION: The new automated morphometric scores provide reproducible and accurate diagnoses of fibrosis stages via “virtual expert pathologist.” Medknow Publications & Media Pvt Ltd 2015-05-28 /pmc/articles/PMC4466784/ /pubmed/26110088 http://dx.doi.org/10.4103/2153-3539.157782 Text en Copyright: © 2015 Calés P. http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Original Article
Calès, Paul
Chaigneau, Julien
Hunault, Gilles
Michalak, Sophie
Cavaro-Menard, Christine
Fasquel, Jean-Baptiste
Bertrais, Sandrine
Rousselet, Marie-Christine
Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
title Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
title_full Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
title_fullStr Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
title_full_unstemmed Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
title_short Automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis C
title_sort automated morphometry provides accurate and reproducible virtual staging of liver fibrosis in chronic hepatitis c
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4466784/
https://www.ncbi.nlm.nih.gov/pubmed/26110088
http://dx.doi.org/10.4103/2153-3539.157782
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