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Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System

STUDY DESIGN: Global cross-sectional survey OBJECTIVE: To develop and refine the techniques for web-based international validation of fracture classification systems. METHODS: A live webinar was organized in 2018 for validation of the AO Spine Subaxial Injury Classification System, consisting of 35...

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Autores principales: Lambrechts, Mark J., Schroeder, Gregory D., Karamian, Brian A., Canseco, Jose A., Oner, Cumhur, Vialle, Emiliano, Rajasekaran, Shanmuganathan, Hazenbiller, Olesja, Dvorak, Marcel R., Benneker, Lorin M., Kandziora, Frank, Schnake, Klaus, Kepler, Christopher K., Vaccaro, Alexander R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676157/
https://www.ncbi.nlm.nih.gov/pubmed/35475400
http://dx.doi.org/10.1177/21925682221098967
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author Lambrechts, Mark J.
Schroeder, Gregory D.
Karamian, Brian A.
Canseco, Jose A.
Oner, Cumhur
Vialle, Emiliano
Rajasekaran, Shanmuganathan
Hazenbiller, Olesja
Dvorak, Marcel R.
Benneker, Lorin M.
Kandziora, Frank
Schnake, Klaus
Kepler, Christopher K.
Vaccaro, Alexander R.
author_facet Lambrechts, Mark J.
Schroeder, Gregory D.
Karamian, Brian A.
Canseco, Jose A.
Oner, Cumhur
Vialle, Emiliano
Rajasekaran, Shanmuganathan
Hazenbiller, Olesja
Dvorak, Marcel R.
Benneker, Lorin M.
Kandziora, Frank
Schnake, Klaus
Kepler, Christopher K.
Vaccaro, Alexander R.
author_sort Lambrechts, Mark J.
collection PubMed
description STUDY DESIGN: Global cross-sectional survey OBJECTIVE: To develop and refine the techniques for web-based international validation of fracture classification systems. METHODS: A live webinar was organized in 2018 for validation of the AO Spine Subaxial Injury Classification System, consisting of 35 unique computed tomography (CT) scans and key images with subaxial spine injuries. Interobserver reliability and intraobserver reproducibility was calculated for injury morphology, subtype, and facet injury according to the classification system. Based on the experiences from this webinar and incorporating rater feedback, adjustments were made in the organization and techniques used and in 2020 a repeat validation webinar was performed, evaluating images of 41 unique subaxial spine injuries. RESULTS: In the 2018 session, the AO Spine Subaxial Injury Classification System demonstrated fair interobserver reliability for fracture subtype (κ = 0.35) and moderate reliability for fracture morphology and facet injury (κ=0.45, 0.43, respectively). However, in 2020, the interobserver reliability for fracture morphology (κ = 0.87) and fracture subtype (κ = 0.80) was excellent, while facet injury was substantial (κ = 0.74). Intraobserver reproducibility for injury morphology (κ =0.49) and injury subtype/facet injury were moderate (κ = 0.42) in 2018. In 2020, fracture morphology and subtype reproducibility were excellent (κ =0.85, 0.88, respectively) while reproducibility for facet injuries was substantial (κ = 0.76). CONCLUSION: With optimized webinar-based validation techniques, the AO Spine Subaxial Injury Classification System demonstrated vast improvements in intraobserver reproducibility and interobserver reliability. Stringent fracture classification methodology is integral in obtaining accurate classification results.
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spelling pubmed-106761572022-04-27 Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System Lambrechts, Mark J. Schroeder, Gregory D. Karamian, Brian A. Canseco, Jose A. Oner, Cumhur Vialle, Emiliano Rajasekaran, Shanmuganathan Hazenbiller, Olesja Dvorak, Marcel R. Benneker, Lorin M. Kandziora, Frank Schnake, Klaus Kepler, Christopher K. Vaccaro, Alexander R. Global Spine J Original Articles STUDY DESIGN: Global cross-sectional survey OBJECTIVE: To develop and refine the techniques for web-based international validation of fracture classification systems. METHODS: A live webinar was organized in 2018 for validation of the AO Spine Subaxial Injury Classification System, consisting of 35 unique computed tomography (CT) scans and key images with subaxial spine injuries. Interobserver reliability and intraobserver reproducibility was calculated for injury morphology, subtype, and facet injury according to the classification system. Based on the experiences from this webinar and incorporating rater feedback, adjustments were made in the organization and techniques used and in 2020 a repeat validation webinar was performed, evaluating images of 41 unique subaxial spine injuries. RESULTS: In the 2018 session, the AO Spine Subaxial Injury Classification System demonstrated fair interobserver reliability for fracture subtype (κ = 0.35) and moderate reliability for fracture morphology and facet injury (κ=0.45, 0.43, respectively). However, in 2020, the interobserver reliability for fracture morphology (κ = 0.87) and fracture subtype (κ = 0.80) was excellent, while facet injury was substantial (κ = 0.74). Intraobserver reproducibility for injury morphology (κ =0.49) and injury subtype/facet injury were moderate (κ = 0.42) in 2018. In 2020, fracture morphology and subtype reproducibility were excellent (κ =0.85, 0.88, respectively) while reproducibility for facet injuries was substantial (κ = 0.76). CONCLUSION: With optimized webinar-based validation techniques, the AO Spine Subaxial Injury Classification System demonstrated vast improvements in intraobserver reproducibility and interobserver reliability. Stringent fracture classification methodology is integral in obtaining accurate classification results. SAGE Publications 2022-04-27 2024-01 /pmc/articles/PMC10676157/ /pubmed/35475400 http://dx.doi.org/10.1177/21925682221098967 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc-nd/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License (https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Articles
Lambrechts, Mark J.
Schroeder, Gregory D.
Karamian, Brian A.
Canseco, Jose A.
Oner, Cumhur
Vialle, Emiliano
Rajasekaran, Shanmuganathan
Hazenbiller, Olesja
Dvorak, Marcel R.
Benneker, Lorin M.
Kandziora, Frank
Schnake, Klaus
Kepler, Christopher K.
Vaccaro, Alexander R.
Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System
title Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System
title_full Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System
title_fullStr Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System
title_full_unstemmed Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System
title_short Development of Online Technique for International Validation of the AO Spine Subaxial Injury Classification System
title_sort development of online technique for international validation of the ao spine subaxial injury classification system
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10676157/
https://www.ncbi.nlm.nih.gov/pubmed/35475400
http://dx.doi.org/10.1177/21925682221098967
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