Evidence map›Paper›PMID 34097223›Full record

ArticleEnvironmental science and pollution research international2021

Digital image processing: a useful tool in the analysis of lung injuries caused by chronic inhalation of agricultural herbicides.

Claudio Pedrassoli Junior, Gabriela Vidotto Cavallieri, Francisco Assis da Silva, Geovana Letícia Fernandes, Gisele Alborghetti Nai, Ana Karina Marques Salge, Josiano Guilherme Puhle, Debora Tavares de Resende E Silva, Danillo Roberto Pereira, Fabíola de Azevedo Mello and 2 more

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

12 authors.

Claudio Pedrassoli JuniorEnvironmental and Regional Development, Oeste Paulista University, Presidente Prudente, SP, Brazil.
Gabriela Vidotto CavallieriHealth Sciences, Oeste Paulista University, Presidente Prudente, SP, Brazil.
Francisco Assis da SilvaComputer Engineering, University of São Paulo, São Carlos, SP, Brazil.
Geovana Letícia FernandesOeste Paulista University, Presidente Prudente, SP, Brazil.
Gisele Alborghetti NaiOeste Paulista University, Presidente Prudente, SP, Brazil.
Ana Karina Marques SalgeFederal University of Goiás, Goiânia, GO, Brazil.
Josiano Guilherme PuhleFederal University Fronteira do Sul, Chapecó, SC, Brazil.
Debora Tavares de Resende E SilvaHealth Sciences, Federal University Fronteira do Sul, Chapecó, SC, Brazil.
Danillo Roberto PereiraEnvironmental and Regional Development, Presidente Prudente, SP, Brazil.
Fabíola de Azevedo MelloAnimal Science, Oeste Paulista University, Presidente Prudente, SP, Brazil.
Ana Paula Alves FavaretoEnvironmental and Regional Development, Oeste Paulista University, Presidente Prudente, SP, Brazil.
Renata Calciolari RossiEnvironmental and Regional Development, Oeste Paulista University, Km 572, SP-270 - Bairro Limoeiro, Pres. Prudente, SP, 19026-310, Brazil. renatacalciolari@terra.com.br.ORCID http://orcid.org/0000-0002-3311-064X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) is widely used in agriculture to control various weeds. The objective of this study was to use the digital image processing method to identify alveolar lesions in the lungs of rats submitted to chronic 2,4-dichlorophenoxyacetic acid (2,4-D) inhalation exposure. We used forty adult male Wistar rats. The rats were divided into four groups: control group (CG), low concentration group (LCG), medium concentration group (MCG), and high concentration group (HCG). In a 6-month exposure period, we used two boxes connected to ultrasonic nebulizers for herbicide spraying. After this period, the rats were euthanized for the collection and study of lung tissue. For each image, counts of injuries and blisters were performed automatically using a methodology based on digital image processing techniques. For analysis of the results, an electronic database (Excel®) was created. We used the Pearson method for correlation analysis; values of p <0.05 were considered significant. In the evaluation of healthy alveoli, we recorded positive and significant correlations between analysis from a pathologist and computational analysis. In the evaluation of injured alveoli, we recorded a positive but non-significant correlation between analysis from a pathologist and computational analysis. These results show the effectiveness of digital image processing when evaluating alveolar integrity.

Indexed as

HerbicidesLung Injury2,4-Dichlorophenoxyacetic AcidAgricultureAnimalsImage Processing, Computer-AssistedMaleRatsRats, Wistar2,4-Dichlorophenoxyacetic AcidHerbicides2,4-Dichlorophenoxyacetic acidAlveolar lesionsDigital image processingHerbicideInflammationLung

Identifiers

PMID34097223
PMCPMC8183328

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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.