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Anais da Academia Brasileira de Ciencias2017; 89(3 Suppl); 2131-2139; doi: 10.1590/0001-3765201720150864

Evaluation of ovarian structures using computerized microtomography.

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.
Publication Date: 2017-06-29 PubMed ID: 28678959DOI: 10.1590/0001-3765201720150864Google Scholar: Lookup
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  • Journal Article

Summary

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The researchers utilized computerized microtomography, or microCT, to examine and characterize the ovaries in seven different mammals, including rats, dogs, cats, cows, horses, pigs, and a donkey. The study found that this technology holds great potential in examining structures within the ovary, providing possibilities for future non-invasive research into ovarian development and diseases.

MicroCT Scanning Process

  • The experiment began with scanning the ovaries of seven different mammalian species—rats, dogs, cats, cows, horses, pigs, and a donkey—using a microCT scanner.
  • MicroCT, which stands for computerized microtomography, is a scanning technique that relies on X-rays to create detailed three-dimensional images of the internal structures of an object or body.
  • These scans offer visualization at a higher resolution than a typical CT scan, hence its usage in studying small and complex biological systems like ovarian structures.

Post MicroCT Histologic Evaluation

  • Once the microCT scanning was completed, the same ovary samples were then prepared for histologic evaluation. This second step served as a validation criterion and allowed for the comparison of the microCT’s findings with a more established scientific method.
  • Through histological study, researchers are able to examine the microscopic structure of tissues, hence allowing a detailed analysis of the ovarian structure.

Findings and Potential Application

  • The study found that microCT scanning had the ability to distinguish between different regions of ovary tissue, such as the cortex and medulla. It could also provide a clear visual assessment of ovarian blood vessels, corpus luteum, and antral follicles.
  • Interesting to note, the microCT was even able to visualize oocytes (immature eggs) within some of the antral follicles.
  • The researchers believe their work is the first of its kind to leverage microCT to explore and compare ovarian structures in a range of domestic mammals. Consequently, they argue that microCT holds significant potential for further research in this field.
  • This study suggests that non-invasive methods, such as microCT, could be harnessed in the future to study live animals, thereby contributing to scientific understanding of ovarian structures, their development, and related pathologies, especially in small animal models.

Cite This Article

APA
Paulini F, Chaves SB, Rôlo JLJP, Azevedo RB, Lucci CM. (2017). Evaluation of ovarian structures using computerized microtomography. An Acad Bras Cienc, 89(3 Suppl), 2131-2139. https://doi.org/10.1590/0001-3765201720150864

Publication

ISSN: 1678-2690
NlmUniqueID: 7503280
Country: Brazil
Language: English
Volume: 89
Issue: 3 Suppl
Pages: 2131-2139

Researcher Affiliations

Paulini, Fernanda
  • Departamento de Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, 70910-900 Brasília, DF, Brazil.
Chaves, Sacha B
  • Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, 70910-900 Brasília, DF, Brazil.
Rôlo, José Luiz J P
  • Departamento de Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, 70910-900 Brasília, DF, Brazil.
Azevedo, Ricardo B DE
  • Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, 70910-900 Brasília, DF, Brazil.
Lucci, Carolina M
  • Departamento de Ciências Fisiológicas, Instituto de Ciências Biológicas, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, 70910-900 Brasília, DF, Brazil.

MeSH Terms

  • Animals
  • Cattle
  • Dogs
  • Female
  • Horses
  • Imaging, Three-Dimensional
  • Ovarian Follicle / anatomy & histology
  • Rats
  • Swine
  • X-Ray Microtomography / methods

Citations

This article has been cited 2 times.
  1. Gianoncelli A, Sena Souza G, Kourousias G, Pascotto E, Tafforeau P, Longo E, Barroso RC, Salomé M, Stebel M, Zingaro F, Calligaro C, Ricci G, Pascolo L. Morphological and Chemical Investigation of Ovarian Structures in a Bovine Model by Contrast-Enhanced X-ray Imaging and Microscopy.. Int J Mol Sci 2023 Feb 10;24(4).
    doi: 10.3390/ijms24043545pubmed: 36834956google scholar: lookup
  2. Fiorentino G, Parrilli A, Garagna S, Zuccotti M. Three-Dimensional Micro-Computed Tomography of the Adult Mouse Ovary.. Front Cell Dev Biol 2020;8:566152.
    doi: 10.3389/fcell.2020.566152pubmed: 33195196google scholar: lookup