CC BY 4.0 · VCOT Open 2020; 03(02): e164-e169
DOI: 10.1055/s-0040-1721031
Case Report

Computed Tomographic Diagnosis of Traumatic Atlanto-occipital Rotatory Luxation and Successful Closed Reduction in a Dog

1  Department of Radiology, Animal Referral Centre, Auckland, New Zealand
,
Karl Mathis
2  Department of Surgery, Animal Referral Centre, Auckland, New Zealand
,
Sarah Hill
3  Department of Internal Medicine, Animal Referral Centre, Auckland, New Zealand
,
Ryan Cattin
3  Department of Internal Medicine, Animal Referral Centre, Auckland, New Zealand
,
Angela Hartman
1  Department of Radiology, Animal Referral Centre, Auckland, New Zealand
› Author Affiliations

Abstract

A 12-year-old, female spayed crossbred dog was presented for traumatic injuries sustained after being hit by a car. The dog was non-ambulatory with a right-sided head tilt on presentation, neurological deficits and signs of external trauma centred on the head. A trauma computed tomography was performed which revealed an atlanto-occipital luxation with narrowing of the vertebral canal. This was treated successfully via closed reduction and confirmed with a repeat computed tomography scan. The dog recovered well following the atlanto-occipital luxation reduction, and was ambulatory the day after the reduction, and neurological signs resolved within 2 days.

Authors' Contributions

G.L. was responsible for drafting, editing and compiling the manuscript, and was involved with the case management and assisted with closed reduction. K.M. was responsible for editing the manuscript, literature review and engineering the set-up for and performing the closed reduction. S.H. was responsible for editing the manuscript as well as case management and literature review. R.C. was involved with editing the manuscript and literature review. A.H. was involved with the diagnosis and interpretation of the computed tomography as well as editing the manuscript and literature review.




Publication History

Received: 31 July 2020

Accepted: 06 October 2020

Publication Date:
17 November 2020 (online)

© 2020. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/).

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany