Abstract
Background
Studies of traumatic elbow instability suggest that recognition of a pattern in the combination and character of the fractures and joint displacements helps predict soft tissue injury and guide the treatment of traumatic elbow instability, but there is no evidence that patterns can be identified reliably.
Questions/Purposes
We therefore determined (1) the interobserver reliability of identifying specific patterns of traumatic elbow instability on radiographs for subgroups of orthopaedic surgeons; and (2) the diagnostic accuracy of radiographic diagnosis.
Methods
Seventy-three orthopaedic surgeons evaluated 53 sets of radiographs and diagnosed one of five common patterns of traumatic elbow instability by using a web-based survey. The interobserver reliability was analyzed using Cohen’s multirater kappa. Intraoperative diagnosis was the reference for fracture pattern in calculations of the sensitivity, specificity, accuracy, and positive predictive and negative predictive values of radiographic diagnosis.
Results
The overall interobserver reliability for patterns of traumatic elbow instability on radiographs was κ = 0.41. Treatment of greater than five such injuries a year was associated with greater interobserver agreement, but years in practice were not. Diagnostic accuracy ranged from 76% to 93% and was lowest for the terrible triad pattern of injury.
Conclusions
Specific patterns of traumatic elbow instability can be diagnosed with moderate interobserver reliability and reasonable accuracy on radiographs.
Level of Evidence
Level III, diagnostic study. See Guidelines for Authors for a complete description of levels of evidence.
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Science of Variation Group: Andrew Schmidt, Antonio Barquet, Ashok K. Shyam, Brett D. Crist, Carrie Swigart, Chad Coles, Charalampos Zalavras, Charles A. Goldfarb, Charles Cassidy, Daphne Beingessner, David M. Kalainov, David Ruchelsman, Denise Eygendaal, Elena Grosso, Eric Mark Hammerberg, Frede Frihagen, George Dyer, George S. Athwal, George Thomas, Gregory J. Della Rocca, Ian Harris, J.C. Goslings, Jan Biert, Jason Fanuele, Jeff Lawton, Jeffrey A. Greenberg, John Jiuliano, John McAuliffe, John T. Capo, John Taras, Jorge Orbay, Joseph M. Conflitti, Keith Segalman, Kenneth Egol, Kyle Jeray, Lee Osterman, Leon Elmans, Lisa Lattanza, Lisa Taitsman, Louis Catalano III, M Baumgaertner, Marc Swiontkowski, Martin Boyer, Martin Richardson, Matthew Camuso, Michael Baskies, Michael Prayson, Neal Chen, P.V. van Eerten, Parag Sancheti, Paul Levin, Paul Tornetta, Peter Brink, Peter J. Evans, Peter Jebson, Peter Kloen, Phani Dantuluri, Philip Blazar, Richard S. Page, Rick Papandrea, Rob Nelissen, Robert D. Zura, Robert J. Feibel MD, Robert Probe, Rodrigo Pesantez, S. Rhemrev, Samir Sodha, Scott Duncan, Scott Wolfe, Taco Gosens, Thomas Higgins, Thomas Hughes, Thomas Wright.
One of the authors certifies that he (DR) has or may receive payments or benefits, during the study period, an amount of less than $10,000 from Wright Medical (DR) (Arlington, TN, USA) and Biomet (DR) (Warsaw, IN, USA). The institution of one or more of the authors (DR) has received funding from Skeletal Dynamics (DR)(Miami, FL, USA) and Biomet (DR)(Warsaw, IN, USA).
All ICMJE Conflict of Interest Forms for authors and Clinical Orthopaedics and Related Research editors and board members are on file with the publication and can be viewed on request.
This work was performed at University of Amsterdam, Academic Medical Center, Amsterdam, The Netherlands and Harvard Medical School, Orthopaedic Hand and Upper Extremity Service, Massachusetts General Hospital, Boston, MA, USA.
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Doornberg, J.N., Guitton, T.G., Ring, D. et al. Diagnosis of Elbow Fracture Patterns on Radiographs: Interobserver Reliability and Diagnostic Accuracy. Clin Orthop Relat Res 471, 1373–1378 (2013). https://doi.org/10.1007/s11999-012-2742-4
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DOI: https://doi.org/10.1007/s11999-012-2742-4