Evidence map›Paper›PMID 34669894›Full record

ArticleArquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery2021

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

Douglas Mesadri Gewehr, Allan Fernando Giovanini, Sofia Inez Munhoz, Seigo Nagashima, Andressa de Souza Bertoldi, Ana Cristina Lira Sobral, Fernando Bermudez Kubrusly, Luiz Fernando Kubrusly

Open access · diamondAbstract read
In one paragraph

Article in Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  4. Phosphotungstic Acid-treated Picrosirius Red Staining Improves Whole-slide Quantitative Analysis of Collagen in Histological Specimens.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Douglas Mesadri GewehrMackenzie Evangelical Faculty of Paraná, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0001-9393-2445
Allan Fernando GiovaniniMackenzie Evangelical Faculty of Paraná, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0002-1637-2955
Sofia Inez MunhozMackenzie Evangelical Faculty of Paraná, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0001-6677-3768
Seigo NagashimaLaboratory of Experimental Pathology of Health and Biological Sciences, Pontifícia Universidade Católica do Paraná, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0003-0069-3823
Andressa de Souza BertoldiDenton Cooley Institute of Research, Science and Technology, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0002-6810-7619
Ana Cristina Lira SobralMackenzie Evangelical Faculty of Paraná, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0001-6982-3134
Fernando Bermudez KubruslyDenton Cooley Institute of Research, Science and Technology, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0002-5045-9237
Luiz Fernando KubruslyMackenzie Evangelical Faculty of Paraná, Curitiba, Paraná, Brazil.ORCID http://orcid.org/0000-0002-6546-9841
Universidade Presbiteriana Mackenzie · BRInstituto de Tecnologia do Paraná · BRPontifícia Universidade Católica do Paraná · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHeart 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.

aimTo create a semi-automatic computerized protocol to quantify any amount of centrilobular fibrosis and sinusoidal dilatation in liver Masson's Trichrome-stained specimen.

methodOnce 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®).

resultsThe 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.

conclusionWas 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.

Indexed as

Image Processing, Computer-AssistedSoftwareDilatationFibrosisHumansLiverLiver Cirrhosis

Identifiers

PMID34669894
PMCPMC8521892
OpenAlexW3207116171

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.