Abstract
A system already described by Unger and others was used to classify long bone fractures in dogs. The present paper reports experiences using the fracture classification system regarding its ease of use and the ability to analyse the data generated. Three hundred and eighty-six canine long bone fractures were classified from radiographs. Results were assessed by reviewing the medical records or by sending questionnaires to referring veterinarians. There were a few inconsistencies, particularly in classifying proximal ulnar fractures, but the system was easy to use and data retrieval was readily accomplished. Data from the system were used to compare the results of repairs of diaphyseal fractures of the radius/ulna, femur and tibia/fibula. A chi square analysis was used to determine significant differences between the outcome scores of the three fracture types. Fractures of the femoral diaphysis had a statistically poorer outcome than did diaphyseal fractures of the radius/ulna or tibia/fibula.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
