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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
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Original Research Articles                      Volume : 7, Issue:9, September, 2018

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com /
submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2018.7(9): 3618-3621
DOI: https://doi.org/10.20546/ijcmas.2018.709.449


Computed Tomographic Diagnosis of Spinal Diseases in Dogs
S. Heera Banu*
Pallivasal Street, Thevaiyur (po), Perambalur, Tamil Nadu, India
*Corresponding author
Abstract:

Computed Tomography is an noninvasive imaging method for diagnosis of vertebral and spinal cord lesions in small animals. There are retrospectively evaluated CT studies at nine dogs presented at Madras Veterinary College Teaching Hospital, Chennai with various degrees of neurological deficit and suspected with vertebral or spinal cord lesions. Out of these eight dogs, Different breeds including five Labrador retriever, one Daushand, one German shepherd and one Non-descriptive breed. All the dogs reported with neurological deficit were male. The mean age was 5.43 Yrs. CT studies were performed under general anesthesia, dorsal recumbency, without contrast medium in 4 dogs and with contrast medium Iohexol 0.22ml/Kg B.wt into subarachnoid space at occipito–atlantial junction (CT- Myelography) in 3 dogs. There were found one vertebral fracture, one vertebral fracture with luxation, three disc herniations, one extramedullary intradural tumor, one myelomalacia and one dural calcification. In conclusion CT is a valuable diagnostic tool for detection and characterization of spinal lesions.


Keywords: Computed tomography, CT- Myelography, Spinal lesions, Dogs

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How to cite this article:

S. Heera Banu. 2018. Computed Tomographic Diagnosis of Spinal Diseases in Dogs.Int.J.Curr.Microbiol.App.Sci. 7(9): 3618-3621. doi: https://doi.org/10.20546/ijcmas.2018.709.449
Copyright: This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike license.

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