A retrospective study of 172 neurological patients presented to the Gyeongsang National University Animal Medical Center; From Jan. 2008 to Jan. 2012
- Authors
- Jeon, J.-H.; Kang, B.-T.; Ji, C.-M.; Lee, H.-C.; Moon, J.-H.; Cho, K.-W.; Jung, H.-W.; Jung, D.-I.
- Issue Date
- 2012
- Keywords
- dog; neurological disease; retrospective study
- Citation
- Lecture Notes in Electrical Engineering, v.179 LNEE, no.VOL. 2, pp.135 - 140
- Indexed
- SCOPUS
- Journal Title
- Lecture Notes in Electrical Engineering
- Volume
- 179 LNEE
- Number
- VOL. 2
- Start Page
- 135
- End Page
- 140
- URI
- https://scholarworks.bwise.kr/gnu/handle/sw.gnu/23326
- DOI
- 10.1007/978-94-007-5064-7_20
- ISSN
- 1876-1100
- Abstract
- The purpose of this study is to merge clinical information from various neurological patients of the Gyeongsang National University Animal Medical Center during the study period (from Jan.2008 to Jan.2012). Total 172 cases of neurological disorders were diagnosed and treated in the study period. Evaluated criteria of this study were breed, age, sex, clinical signs, and diagnosis. Physical examination, neurological examination, complete blood count, serum chemistry profile, radiography, ultrasonography, cerebrospinal fluid (CSF) analysis, computed tomography (CT), magnetic resonance imaging (MRI), and electroencephalography (EEG) were performed on the basis of individual cases. Among all of 172 dogs, 78 dogs (45.3%) were diagnosed with meningoencephalitis of unknown etiology (MUE); 38 dogs (22.0%) were intervertebral disk disease (IVDD); 15 dogs (8.7%) were idiopathic epilepsy; 13 dogs (7.5%) were hydrocephalus; 5 dogs (2.9%) were brain tumor; and the remainder was diagnosed with miscellaneous diseases. The canine neurological disease model is very useful to understand human neurological disease because the dog is structurally and functionally similar to the human and have same natural neurological diseases as human based on this study. Thus, we hope that this study could help to develop the canine neurological disease model. ? 2012 Springer Science+Business Media Dordrecht.
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