Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/80883 https://doi.org/10.1016/j.etp.2013.09.001 |
Resumo: | This work aims at characterizing rat mammary tumors induced by 7,12-dimethylbenz(a)anthracene (DMBA) and the respective malignancy potential, commonly graded with histopathology features grouped by intensity levels. Tumors were described over fourteen multiple ranged microscopic parameters and a comprehensive characterization of the histological patterns and their relation with tumor grade was carried out by principal component analysis (PCA). The number of histological patterns present on a tumor tends to correlate with malignant features. High grade tumors are characterized by the presence of several structural patterns, with cribriform prevalence and necrosis. The cribriform pattern correlates with grading, i.e., tumors having a higher predominance of the cribriform pattern are likely to be more malignant. The findings may represent a benchmark for similar characterization studies in other models. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
spelling |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observationsThis work aims at characterizing rat mammary tumors induced by 7,12-dimethylbenz(a)anthracene (DMBA) and the respective malignancy potential, commonly graded with histopathology features grouped by intensity levels. Tumors were described over fourteen multiple ranged microscopic parameters and a comprehensive characterization of the histological patterns and their relation with tumor grade was carried out by principal component analysis (PCA). The number of histological patterns present on a tumor tends to correlate with malignant features. High grade tumors are characterized by the presence of several structural patterns, with cribriform prevalence and necrosis. The cribriform pattern correlates with grading, i.e., tumors having a higher predominance of the cribriform pattern are likely to be more malignant. The findings may represent a benchmark for similar characterization studies in other models.2014-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/80883http://hdl.handle.net/10316/80883https://doi.org/10.1016/j.etp.2013.09.001por1618-143324168877Lopes, Ana C.Cova, Tânia F. G. G.Pais, Alberto A. C. C.Pereira, Jorge L. G. F. S. C.Colaço, BrunoCabrita, António M. S.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-07-27T11:17:16Zoai:estudogeral.uc.pt:10316/80883Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:03:08.664303Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
title |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
spellingShingle |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations Lopes, Ana C. |
title_short |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
title_full |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
title_fullStr |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
title_full_unstemmed |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
title_sort |
Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations |
author |
Lopes, Ana C. |
author_facet |
Lopes, Ana C. Cova, Tânia F. G. G. Pais, Alberto A. C. C. Pereira, Jorge L. G. F. S. C. Colaço, Bruno Cabrita, António M. S. |
author_role |
author |
author2 |
Cova, Tânia F. G. G. Pais, Alberto A. C. C. Pereira, Jorge L. G. F. S. C. Colaço, Bruno Cabrita, António M. S. |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lopes, Ana C. Cova, Tânia F. G. G. Pais, Alberto A. C. C. Pereira, Jorge L. G. F. S. C. Colaço, Bruno Cabrita, António M. S. |
description |
This work aims at characterizing rat mammary tumors induced by 7,12-dimethylbenz(a)anthracene (DMBA) and the respective malignancy potential, commonly graded with histopathology features grouped by intensity levels. Tumors were described over fourteen multiple ranged microscopic parameters and a comprehensive characterization of the histological patterns and their relation with tumor grade was carried out by principal component analysis (PCA). The number of histological patterns present on a tumor tends to correlate with malignant features. High grade tumors are characterized by the presence of several structural patterns, with cribriform prevalence and necrosis. The cribriform pattern correlates with grading, i.e., tumors having a higher predominance of the cribriform pattern are likely to be more malignant. The findings may represent a benchmark for similar characterization studies in other models. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/80883 http://hdl.handle.net/10316/80883 https://doi.org/10.1016/j.etp.2013.09.001 |
url |
http://hdl.handle.net/10316/80883 https://doi.org/10.1016/j.etp.2013.09.001 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
1618-1433 24168877 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
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1799133924499128320 |