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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
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.
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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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