Improving discrimination in the grading of rat mammary tumors using two-dimensional mapping of histopathological observations

Detalhes bibliográficos
Autor(a) principal: Lopes, Ana C.
Data de Publicação: 2014
Outros Autores: Cova, Tânia F. G. G., Pais, Alberto A. C. C., Pereira, Jorge L. G. F. S. C., Colaço, Bruno, Cabrita, António M. S.
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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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
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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
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