Veterinärmedizinische Universität Wien Forschungsinformationssystem VetDoc

Grafischer Link zur Startseite der Vetmeduni Vienna

Gewählte Publikation:

Publikationstyp: Zeitschriftenaufsatz
Dokumentart: Originalarbeit

Publikationsjahr: 2017

AutorInnen: Wessely, M; Brühschwein, A; Schnabl-Feichter, E

Titel: Evaluation of Intra- and Inter-observer Measurement Variability of a Radiographic Stifle Osteoarthritis Scoring System in Dogs.

Quelle: Vet Comp Orthop Traumatol. 2017; 30(6):377-384

Autor/innen der Vetmeduni Vienna:

Schnabl-Feichter Eva,
Wessely Marlis,

Beteiligte Vetmed-Organisationseinheiten
Klinische Abteilung für Kleintierchirurgie,

Objectives To evaluate the intra- and inter-observer measurement variability of an existing osteoarthritis (OA) stifle scoring system. Methods Paired caudocranial and mediolateral canine stifle radiographs were selected randomly. A total of 15 assessment points were evaluated independently and graded twice (integer numeric scale: 1-4) at an interval of 2 weeks by three observers with different levels of experience. The grades for each of the 15 factors were summed to obtain the OA score for each patient. Results The 15 independent assessment points measured by the three observers showed high reproducibility and low intra-observer variability. Inter-observer variability was also low (mean: 1.09 ± 4.99, 95% CI [confidence interval]: -0.35 to 2.55). The most discordant ratings among the three observers involved sesamoid bones of gastrocnemius muscle (assessment point 11 of 15) and popliteal surface of femur (assessment point 10 of 15). Clinical Significance A validated and feasible OA scoring method is prerequisite for reliable radiographic assessment of OA progression. The low overall inter- and intra-observer variabilities among the 15 independent measures of the OA scoring system presented herein support its feasibility for application in clinical practice as an objective tool for radiographic scoring of stifle OA.

© Veterinärmedizinische Universität Wien Hilfe und Downloads