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Caring about medullary anesthesia in Saimiri sciureus: the conus medullaris topography

Overview of attention for article published in Anais da Academia Brasileira de Ciências, December 2011
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Title
Caring about medullary anesthesia in Saimiri sciureus: the conus medullaris topography
Published in
Anais da Academia Brasileira de Ciências, December 2011
DOI 10.1590/s0001-37652011000400020
Pubmed ID
Authors

Ana R. Lima, emerson T. Fioretto, Rodrigo F. Fontes, Aline A. Imbeloni, José A. P. C. Muniz, Érrika Branco

Abstract

Saimiri sciureus is a New World non-human primate (NHP) that inhabits Brazilian rain forests. Surgical interventions in wild NHPs can be considered common both for experimental studies procedures and corrective procedures for endangered species. Among various anesthetic procedures, the epidural anesthesia or blockades, depending on the surgical procedure, might be considered elective for wild monkeys, mostly based on its safeness, efficiency and non-time consuming characteristics. However its safeness would be limiting because of the spinal cord arrangement. Notwithstanding the available former studies on New World NHP anatomy, the description of the medullar cone of Saimiri sciureus is still scarce. Therefore, we believe that the better understanding the medullar cone of Saimiri sciureus would contribute to improve the applicability of epidural procedures in the species. Vertebrae architecture of Saimiri sciureus was composed by 9 lumbar, 3 sacral and 18 coccygeal vertebrae, and the medullar cone measured about 3.3 cm. We can conclude that the conus medullaris in Saimiri sciureus is situated more caudally in comparison to other species.

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Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Professor 1 10%
Professor > Associate Professor 1 10%
Student > Postgraduate 1 10%
Unknown 5 50%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Computer Science 1 10%
Social Sciences 1 10%
Medicine and Dentistry 1 10%
Other 0 0%
Unknown 5 50%