Morphological analysis of cervical vertebrae in ataxic foals.
Morphological differences between cervical vertebrae were statistically analyzed in ataxic foals to clarify abnormal structural factors in the pathogenesis of this problem. At first, multiple regression analysis and cluster analysis were performed with 28 variables in C3-C7 of 39 control foals without lameness. As a result, there were no sex differences in the growth of all cervical vertebral sites, and the most suitable categorization of the age of the foals was 3 clusters of 8 months old or younger, 9-12 months old and 13 months old or older in any sites in the cervical vertebrae. Twenty-eight ataxic and 19 control foals at the age of 13 months or older were then used for discriminant analysis with 20 variables. As a result, 1-7 variables on C3-C7 were selected for sufficient discrimination, in which the heights of the cranial and caudal orifices of the spinal canal, longitudinal length of the vertebral head and height of the vertebral fossa strongly contributed to the discrimination of all the cervical vertebrae. In addition, the widths and longitudinal diameters of the articular processes on articular surfaces strongly contributed to the discrimination of the caudal region of the neck. In conclusion, it was suggested that the lesion in the cervical spinal cord observed in ataxic foals was caused by morphological abnormalities including osteochondrosis and subsequent degenerative joint disease in the cervical vertebrae.
Tomizawa
N
N
Department of Veterinary Surgery, Faculty of Agriculture, Iwate University, Japan.
Nishimura
R
R
Sasaki
N
N
Hayashi
Y
Y
Senba
H
H
Hara
S
S
Kadosawa
T
T
Takeuchi
A
A
D000818:Animals; D001259:Ataxia / Q000209:etiology / Q000662:veterinary*; D002574:Cervical Vertebrae / Q000473:pathology*; D016002:Discriminant Analysis; D005260:Female; D006734:Horse Diseases / Q000209:etiology / Q000473:pathology*; D006736:Horses; D008297:Male; D015999:Multivariate Analysis; D010007:Osteochondritis / Q000150:complications / Q000662:veterinary; D012044:Regression Analysis