SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS

SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS

ABSTRACT Background: Heart dysfunction and liver disease often coexist because of systemic disorders. Any cause of right ventricular failure may precipitate hepatic congestion and fibrosis. Digital image technologies have been introduced to pathology diagnosis, allowing an objective quantitative assessment. The quantification of fibrous tissue in liver biopsy sections is extremely important in the classification, diagnosis and grading of chronic liver disease. Aim: To create a semi-automatic computerized protocol to quantify any amount of centrilobular fibrosis and sinusoidal dilatation in liver Masson’s Trichrome-stained specimen. Method: Once fibrosis had been established, liver samples were collected, histologically processed, stained with Masson’s trichrome, and whole-slide images were captured with an appropriated digital pathology slide scanner. After, a random selection of the regions of interest (ROI’s) was conducted. The data were subjected to software-assisted image analysis (ImageJ®). Results: The analysis of 250 ROI’s allowed to empirically obtain the best application settings to identify the centrilobular fibrosis (CF) and sinusoidal lumen (SL). After the establishment of the colour threshold application settings, an in-house Macro was recorded to set the measurements (fraction area and total area) and calculate the CF and SL ratios by an automatic batch processing. Conclusion: Was possible to create a more detailed method that identifies and quantifies the area occupied by fibrous tissue and sinusoidal lumen in Masson’s trichrome-stained livers specimens.

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Main Authors: GEWEHR,Douglas Mesadri, GIOVANINI,Allan Fernando, MUNHOZ,Sofia Inez, NAGASHIMA,Seigo, BERTOLDI,Andressa de Souza, SOBRAL,Ana Cristina Lira, KUBRUSLY,Fernando Bermudez, KUBRUSLY,Luiz Fernando
Format: Digital revista
Language:English
Published: Colégio Brasileiro de Cirurgia Digestiva 2021
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-67202021000200313
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spelling oai:scielo:S0102-672020210002003132021-10-14SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSISGEWEHR,Douglas MesadriGIOVANINI,Allan FernandoMUNHOZ,Sofia InezNAGASHIMA,SeigoBERTOLDI,Andressa de SouzaSOBRAL,Ana Cristina LiraKUBRUSLY,Fernando BermudezKUBRUSLY,Luiz Fernando Image processing, computer-assisted Liver fibrosis Sinusoids ABSTRACT Background: Heart dysfunction and liver disease often coexist because of systemic disorders. Any cause of right ventricular failure may precipitate hepatic congestion and fibrosis. Digital image technologies have been introduced to pathology diagnosis, allowing an objective quantitative assessment. The quantification of fibrous tissue in liver biopsy sections is extremely important in the classification, diagnosis and grading of chronic liver disease. Aim: To create a semi-automatic computerized protocol to quantify any amount of centrilobular fibrosis and sinusoidal dilatation in liver Masson’s Trichrome-stained specimen. Method: Once fibrosis had been established, liver samples were collected, histologically processed, stained with Masson’s trichrome, and whole-slide images were captured with an appropriated digital pathology slide scanner. After, a random selection of the regions of interest (ROI’s) was conducted. The data were subjected to software-assisted image analysis (ImageJ®). Results: The analysis of 250 ROI’s allowed to empirically obtain the best application settings to identify the centrilobular fibrosis (CF) and sinusoidal lumen (SL). After the establishment of the colour threshold application settings, an in-house Macro was recorded to set the measurements (fraction area and total area) and calculate the CF and SL ratios by an automatic batch processing. Conclusion: Was possible to create a more detailed method that identifies and quantifies the area occupied by fibrous tissue and sinusoidal lumen in Masson’s trichrome-stained livers specimens.info:eu-repo/semantics/openAccessColégio Brasileiro de Cirurgia DigestivaABCD. Arquivos Brasileiros de Cirurgia Digestiva (São Paulo) v.34 n.2 20212021-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-67202021000200313en10.1590/0102-672020210002e1608
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
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libraryname SciELO
language English
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author GEWEHR,Douglas Mesadri
GIOVANINI,Allan Fernando
MUNHOZ,Sofia Inez
NAGASHIMA,Seigo
BERTOLDI,Andressa de Souza
SOBRAL,Ana Cristina Lira
KUBRUSLY,Fernando Bermudez
KUBRUSLY,Luiz Fernando
spellingShingle GEWEHR,Douglas Mesadri
GIOVANINI,Allan Fernando
MUNHOZ,Sofia Inez
NAGASHIMA,Seigo
BERTOLDI,Andressa de Souza
SOBRAL,Ana Cristina Lira
KUBRUSLY,Fernando Bermudez
KUBRUSLY,Luiz Fernando
SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS
author_facet GEWEHR,Douglas Mesadri
GIOVANINI,Allan Fernando
MUNHOZ,Sofia Inez
NAGASHIMA,Seigo
BERTOLDI,Andressa de Souza
SOBRAL,Ana Cristina Lira
KUBRUSLY,Fernando Bermudez
KUBRUSLY,Luiz Fernando
author_sort GEWEHR,Douglas Mesadri
title SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS
title_short SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS
title_full SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS
title_fullStr SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS
title_full_unstemmed SOFTWARE-ASSISTED IMAGE ANALYSIS FOR IDENTIFICATION AND QUANTIFICATION OF HEPATIC SINUSOIDAL DILATATION AND CENTRILOBULAR FIBROSIS
title_sort software-assisted image analysis for identification and quantification of hepatic sinusoidal dilatation and centrilobular fibrosis
description ABSTRACT Background: Heart dysfunction and liver disease often coexist because of systemic disorders. Any cause of right ventricular failure may precipitate hepatic congestion and fibrosis. Digital image technologies have been introduced to pathology diagnosis, allowing an objective quantitative assessment. The quantification of fibrous tissue in liver biopsy sections is extremely important in the classification, diagnosis and grading of chronic liver disease. Aim: To create a semi-automatic computerized protocol to quantify any amount of centrilobular fibrosis and sinusoidal dilatation in liver Masson’s Trichrome-stained specimen. Method: Once fibrosis had been established, liver samples were collected, histologically processed, stained with Masson’s trichrome, and whole-slide images were captured with an appropriated digital pathology slide scanner. After, a random selection of the regions of interest (ROI’s) was conducted. The data were subjected to software-assisted image analysis (ImageJ®). Results: The analysis of 250 ROI’s allowed to empirically obtain the best application settings to identify the centrilobular fibrosis (CF) and sinusoidal lumen (SL). After the establishment of the colour threshold application settings, an in-house Macro was recorded to set the measurements (fraction area and total area) and calculate the CF and SL ratios by an automatic batch processing. Conclusion: Was possible to create a more detailed method that identifies and quantifies the area occupied by fibrous tissue and sinusoidal lumen in Masson’s trichrome-stained livers specimens.
publisher Colégio Brasileiro de Cirurgia Digestiva
publishDate 2021
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-67202021000200313
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