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The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants

AIMS: The aim of this study is to (1) compare and contrast cervical subtype classification methods within an asymptomatic population, and (2) identify inter-methodological consistencies and describe examples of inconsistencies that have the potential to affect subtype classification and clinical dec...

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Autores principales: Daffin, Lee, Stuelcken, Max C, Sayers, Mark G L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5634109/
https://www.ncbi.nlm.nih.gov/pubmed/29021674
http://dx.doi.org/10.4103/jcvjs.JCVJS_84_17
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author Daffin, Lee
Stuelcken, Max C
Sayers, Mark G L
author_facet Daffin, Lee
Stuelcken, Max C
Sayers, Mark G L
author_sort Daffin, Lee
collection PubMed
description AIMS: The aim of this study is to (1) compare and contrast cervical subtype classification methods within an asymptomatic population, and (2) identify inter-methodological consistencies and describe examples of inconsistencies that have the potential to affect subtype classification and clinical decision-making. METHODS: A total of 150 asymptomatic 18–30-year-old participants met the strict inclusion criteria. An erect neutral lateral radiograph was obtained using standard procedures. The Centroid, modified Takeshima/Herbst methods and the relative rotation angles in cases of nonagreement were used to determine subtype classifications. Cohen's kappa coefficient (κ) was used to assess the level of agreement between the two methods. RESULTS: Nonlordotic classifications represented 66% of the cohort. Subtype classification identified the cohort as, lordosis (51), straight (37), global kyphosis (30), sigmoidal (13), and reverse sigmoidal (RS) (19). Cohen's kappa coefficient indicated that there was only a moderate level of agreement between methods (κ = 0.531). Methodological agreement tended to be higher within the lordotic and global kyphotic subtypes whereas, straight, sigmoidal, and RS subtypes demonstrated less agreement. CONCLUSION: This is the first study of its type to compare and contrast cervical classification methods. Subtypes displaying predominantly extended or flexed segments demonstrated higher levels of agreement. Our findings highlight the need for establishing a standardized multi-method approach to classify sagittal cervical subtypes.
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spelling pubmed-56341092017-10-11 The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants Daffin, Lee Stuelcken, Max C Sayers, Mark G L J Craniovertebr Junction Spine Original Article AIMS: The aim of this study is to (1) compare and contrast cervical subtype classification methods within an asymptomatic population, and (2) identify inter-methodological consistencies and describe examples of inconsistencies that have the potential to affect subtype classification and clinical decision-making. METHODS: A total of 150 asymptomatic 18–30-year-old participants met the strict inclusion criteria. An erect neutral lateral radiograph was obtained using standard procedures. The Centroid, modified Takeshima/Herbst methods and the relative rotation angles in cases of nonagreement were used to determine subtype classifications. Cohen's kappa coefficient (κ) was used to assess the level of agreement between the two methods. RESULTS: Nonlordotic classifications represented 66% of the cohort. Subtype classification identified the cohort as, lordosis (51), straight (37), global kyphosis (30), sigmoidal (13), and reverse sigmoidal (RS) (19). Cohen's kappa coefficient indicated that there was only a moderate level of agreement between methods (κ = 0.531). Methodological agreement tended to be higher within the lordotic and global kyphotic subtypes whereas, straight, sigmoidal, and RS subtypes demonstrated less agreement. CONCLUSION: This is the first study of its type to compare and contrast cervical classification methods. Subtypes displaying predominantly extended or flexed segments demonstrated higher levels of agreement. Our findings highlight the need for establishing a standardized multi-method approach to classify sagittal cervical subtypes. Medknow Publications & Media Pvt Ltd 2017 /pmc/articles/PMC5634109/ /pubmed/29021674 http://dx.doi.org/10.4103/jcvjs.JCVJS_84_17 Text en Copyright: © 2017 Journal of Craniovertebral Junction and Spine http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Original Article
Daffin, Lee
Stuelcken, Max C
Sayers, Mark G L
The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants
title The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants
title_full The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants
title_fullStr The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants
title_full_unstemmed The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants
title_short The efficacy of sagittal cervical spine subtyping: Investigating radiological classification methods within 150 asymptomatic participants
title_sort efficacy of sagittal cervical spine subtyping: investigating radiological classification methods within 150 asymptomatic participants
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5634109/
https://www.ncbi.nlm.nih.gov/pubmed/29021674
http://dx.doi.org/10.4103/jcvjs.JCVJS_84_17
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