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Chronological low field magnetic resonance appearance of canine spinal epidural hemorrhage model
Journal of Veterinary Science ; : e7-2019.
Article in English | WPRIM | ID: wpr-758900
ABSTRACT
The magnetic resonance (MR) features of spinal epidural hemorrhage depending with the passage of time have a meaning in veterinary medicine. The aim of this study is to propose the characteristic MR image of spinal epidural hemorrhage using a lower field permanent magnet scanner in dogs. A total of 8 clinically normal beagle dogs, weighing about 9 kg, were allocated. After a baseline MR examination, spinal epidural hemorrhage was created. MR scanning was executed on days 1, 2, 3, 4, 5, 10, 15, 20, 25, and 30 using 0.25 Tesla low field MR. Transverse MR images were attained for image examination. T2W, T1W, fluid-attenuated inversion recovery (FLAIR), short tau inversion recovery (STIR), and T2*-GRE sequences were used. Images were compared subjectively for signal transition assessment. Spinal epidural hemorrhage models were produced positively in 8 dogs at the T12 to L2 region. Initially, the spinal cord and epidural lesions were hyper-intense on T2W and T1W images. On T2W, FLAIR and STIR images, the spinal cord lesion was steadily hyperintense. No significant and consistent hypointense signal indicating hemorrhage was seen on T2*-GRE images. This study result suggests that relatively consistent hyperinstensity on T2 and FLAIR is observed for 30 days, meanwhile T2*-GRE imaging is less useful in hemorrhage detection.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Spinal Cord / Veterinary Medicine / Hematoma, Epidural, Spinal / Hemorrhage Type of study: Prognostic study Limits: Animals Language: English Journal: Journal of Veterinary Science Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Spinal Cord / Veterinary Medicine / Hematoma, Epidural, Spinal / Hemorrhage Type of study: Prognostic study Limits: Animals Language: English Journal: Journal of Veterinary Science Year: 2019 Type: Article