| Registro completo |
| Provedor de dados: |
Anais da ABC (AABC)
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| País: |
Brazil
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| Título: |
Evaluation of ovarian structures using computerized microtomography
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| Autores: |
PAULINI,FERNANDA
CHAVES,SACHA B.
RÔLO,JOSÉ LUIZ J.P.
AZEVEDO,RICARDO B. DE
LUCCI,CAROLINA M.
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| Data: |
2017-01-01
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| Ano: |
2017
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| Palavras-chave: |
Ovarian follicle
Blood vessels
Histology
Tomography
Ovary
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| Resumo: |
ABSTRACT Visualization and clear understanding of the ovarian structures are important in determining the stage of oestrus, helping to diagnose several pathologies and supporting advances in reproductive technologies. In this research, computerized microtomography (microCT) was used to explore and characterize the ovarian structure of seven mammalian species. Ovaries of rats, female dog, queens, cows, mares, sows and a female donkey were used. After microCT scanning, the same samples were prepared for histologic evaluation, used here as a validation criterion. It was possible to distinguish regions of the cortex and medulla, visualize the morphology and distribution of blood vessels, clearly observe corpus luteum and antral follicles, and visualize oocytes inside some antral follicles. This is the first report using microCT to explore and compare ovarian structures in several domestic mammals. MicroCT revealed great potential for the evaluation of ovarian structures. This research open prospects for the use of computerized tomography (CT) as a non-invasive approach to studying ovarian structures in live animals, which may be especially attractive for scientific study of development of ovarian structures and/or ovarian pathologies in small animals’ models.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652017000502131
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| Editor: |
Academia Brasileira de Ciências
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| Relação: |
10.1590/0001-3765201720150864
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| Formato: |
text/html
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| Fonte: |
Anais da Academia Brasileira de Ciências v.89 n.3 suppl.0 2017
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| Direitos: |
info:eu-repo/semantics/openAccess
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