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Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease
Traditional histological evaluation for grading liver disease severity is based on subjective and semi-quantitative scores. We examined the relationship between digital pathology analysis and corresponding scoring systems for the assessment of hepatic necroinflammatory activity. A prospective, multi...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699191/ https://www.ncbi.nlm.nih.gov/pubmed/34944452 http://dx.doi.org/10.3390/biom11121808 |
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author | Marti-Aguado, David Fernández-Patón, Matías Alfaro-Cervello, Clara Mestre-Alagarda, Claudia Bauza, Mónica Gallen-Peris, Ana Merino, Víctor Benlloch, Salvador Pérez-Rojas, Judith Ferrández, Antonio Puglia, Víctor Gimeno-Torres, Marta Aguilera, Victoria Monton, Cristina Escudero-García, Desamparados Alberich-Bayarri, Ángel Serra, Miguel A. Marti-Bonmati, Luis |
author_facet | Marti-Aguado, David Fernández-Patón, Matías Alfaro-Cervello, Clara Mestre-Alagarda, Claudia Bauza, Mónica Gallen-Peris, Ana Merino, Víctor Benlloch, Salvador Pérez-Rojas, Judith Ferrández, Antonio Puglia, Víctor Gimeno-Torres, Marta Aguilera, Victoria Monton, Cristina Escudero-García, Desamparados Alberich-Bayarri, Ángel Serra, Miguel A. Marti-Bonmati, Luis |
author_sort | Marti-Aguado, David |
collection | PubMed |
description | Traditional histological evaluation for grading liver disease severity is based on subjective and semi-quantitative scores. We examined the relationship between digital pathology analysis and corresponding scoring systems for the assessment of hepatic necroinflammatory activity. A prospective, multicenter study including 156 patients with chronic liver disease (74% nonalcoholic fatty liver disease-NAFLD, 26% chronic hepatitis-CH etiologies) was performed. Inflammation was graded according to the Nonalcoholic Steatohepatitis (NASH) Clinical Research Network system and METAVIR score. Whole-slide digital image analysis based on quantitative (I-score: inflammation ratio) and morphometric (C-score: proportionate area of staining intensities clusters) measurements were independently performed. Our data show that I-scores and C-scores increase with inflammation grades (p < 0.001). High correlation was seen for CH (ρ = 0.85–0.88), but only moderate for NAFLD (ρ = 0.5–0.53). I-score (p = 0.008) and C-score (p = 0.002) were higher for CH than NAFLD. Our MATLAB algorithm performed better than QuPath software for the diagnosis of low-moderate inflammation (p < 0.05). C-score AUC for classifying NASH was 0.75 (95%CI, 0.65–0.84) and for moderate/severe CH was 0.99 (95%CI, 0.97–1.00). Digital pathology measurements increased with fibrosis stages (p < 0.001). In conclusion, quantitative and morphometric metrics of inflammatory burden obtained by digital pathology correlate well with pathologists’ scores, showing a higher accuracy for the evaluation of CH than NAFLD. |
format | Online Article Text |
id | pubmed-8699191 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86991912021-12-24 Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease Marti-Aguado, David Fernández-Patón, Matías Alfaro-Cervello, Clara Mestre-Alagarda, Claudia Bauza, Mónica Gallen-Peris, Ana Merino, Víctor Benlloch, Salvador Pérez-Rojas, Judith Ferrández, Antonio Puglia, Víctor Gimeno-Torres, Marta Aguilera, Victoria Monton, Cristina Escudero-García, Desamparados Alberich-Bayarri, Ángel Serra, Miguel A. Marti-Bonmati, Luis Biomolecules Article Traditional histological evaluation for grading liver disease severity is based on subjective and semi-quantitative scores. We examined the relationship between digital pathology analysis and corresponding scoring systems for the assessment of hepatic necroinflammatory activity. A prospective, multicenter study including 156 patients with chronic liver disease (74% nonalcoholic fatty liver disease-NAFLD, 26% chronic hepatitis-CH etiologies) was performed. Inflammation was graded according to the Nonalcoholic Steatohepatitis (NASH) Clinical Research Network system and METAVIR score. Whole-slide digital image analysis based on quantitative (I-score: inflammation ratio) and morphometric (C-score: proportionate area of staining intensities clusters) measurements were independently performed. Our data show that I-scores and C-scores increase with inflammation grades (p < 0.001). High correlation was seen for CH (ρ = 0.85–0.88), but only moderate for NAFLD (ρ = 0.5–0.53). I-score (p = 0.008) and C-score (p = 0.002) were higher for CH than NAFLD. Our MATLAB algorithm performed better than QuPath software for the diagnosis of low-moderate inflammation (p < 0.05). C-score AUC for classifying NASH was 0.75 (95%CI, 0.65–0.84) and for moderate/severe CH was 0.99 (95%CI, 0.97–1.00). Digital pathology measurements increased with fibrosis stages (p < 0.001). In conclusion, quantitative and morphometric metrics of inflammatory burden obtained by digital pathology correlate well with pathologists’ scores, showing a higher accuracy for the evaluation of CH than NAFLD. MDPI 2021-12-02 /pmc/articles/PMC8699191/ /pubmed/34944452 http://dx.doi.org/10.3390/biom11121808 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Marti-Aguado, David Fernández-Patón, Matías Alfaro-Cervello, Clara Mestre-Alagarda, Claudia Bauza, Mónica Gallen-Peris, Ana Merino, Víctor Benlloch, Salvador Pérez-Rojas, Judith Ferrández, Antonio Puglia, Víctor Gimeno-Torres, Marta Aguilera, Victoria Monton, Cristina Escudero-García, Desamparados Alberich-Bayarri, Ángel Serra, Miguel A. Marti-Bonmati, Luis Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease |
title | Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease |
title_full | Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease |
title_fullStr | Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease |
title_full_unstemmed | Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease |
title_short | Digital Pathology Enables Automated and Quantitative Assessment of Inflammatory Activity in Patients with Chronic Liver Disease |
title_sort | digital pathology enables automated and quantitative assessment of inflammatory activity in patients with chronic liver disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8699191/ https://www.ncbi.nlm.nih.gov/pubmed/34944452 http://dx.doi.org/10.3390/biom11121808 |
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