The intra‐ and intertester repeatability of radiographic elbow incongruity grading is high in chondrodystrophic dog breeds

Autor: Jouni Junnila, Heli K. Hyytiäinen, Vilma Reunanen, Anu K. Lappalainen, Outi Laitinen-Vapaavuori, Hanna S. M. Pulkkinen
Přispěvatelé: Equine and Small Animal Medicine, Faculty of Veterinary Medicine, Helsinki One Health (HOH), Outi Vapaavuori / Principal Investigator, Departments of Faculty of Veterinary Medicine, Softis - pehmytkudossairaudet, Petbone – ortopedia, fysioterapia, kivunlievitys, FaunaFysio
Rok vydání: 2020
Předmět:
Zdroj: Veterinary Radiology & Ultrasound. 61:329-335
ISSN: 1740-8261
1058-8183
Popis: Elbow incongruity is a form of elbow dysplasia that causes osteoarthritis, pain, and lameness, and it is common in chondrodystrophic dog breeds. The objective of this retrospective secondary analysis study was to evaluate the intra- and interobserver repeatability of a novel radiographic incongruity grading system for assessing elbow incongruity in three chondrodystrophic dog breeds-the dachshund, Skye Terrier, and Glen of Imaal Terrier. We conducted an observer agreement study that included 220 mediolateral antebrachial radiographs from 110 dogs with the elbow in 90 degrees flexion. The radiographs were independently assessed by three observers at three time points, using a four-stepped grading scale. The proportion of agreement and Kappa coefficient were calculated. Both the intra- and interobserver proportions of agreement were substantial when three grades were required to be identical (.705-.777 and .609, respectively), and almost perfect for two identical grades (.991-1.000 and .991, respectively). Some differences in repeatability between breeds were noted; specifically, the intraobserver repeatability was higher in the dachshund, and the interobserver repeatability was lower in the Glen of Imaal Terrier. Our study showed that the radiographic imaging protocol and incongruity grading system have high repeatability when assessing elbow incongruity in chondrodystrophic dog breeds.
Databáze: OpenAIRE