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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2015
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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.” |
format | Online Article Text |
id | pubmed-4466784 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
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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