A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis

Introduction: The objective of this study is to propose a novel classification and algorithmic-based management plan for craniovertebral junction osteoarthrosis (CVJOA). Materials and Methods: A retrospective study was done based on prospective database of radiological studies and clinical history....

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Main Authors: Luis Eduardo Carelli Texeira da Silva, Ahsan Ali Khan, Alderico Girão Campos de Barros, Fernando Miguel Krywinski, Fabio Antonio Cabral de Araujo Fagundes, Felipe Gomes de Souza e Silva
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Craniovertebral Junction and Spine
Subjects:
Online Access:http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=4;spage=321;epage=330;aulast=Texeira
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author Luis Eduardo Carelli Texeira da Silva
Ahsan Ali Khan
Alderico Girão Campos de Barros
Fernando Miguel Krywinski
Fabio Antonio Cabral de Araujo Fagundes
Felipe Gomes de Souza e Silva
author_facet Luis Eduardo Carelli Texeira da Silva
Ahsan Ali Khan
Alderico Girão Campos de Barros
Fernando Miguel Krywinski
Fabio Antonio Cabral de Araujo Fagundes
Felipe Gomes de Souza e Silva
author_sort Luis Eduardo Carelli Texeira da Silva
collection DOAJ
description Introduction: The objective of this study is to propose a novel classification and algorithmic-based management plan for craniovertebral junction osteoarthrosis (CVJOA). Materials and Methods: A retrospective study was done based on prospective database of radiological studies and clinical history. Twenty symptomatic patients (12 females and 8 males) with a mean age of 54.8 years were identified with CVJOA. These patients underwent either nonsurgical treatment only or surgical intervention and had follow-up of at least 14 months. Classification of CVJOA is based on coronal deformity, rigidity, stability, and two modifiers. The main surgical procedures done in the surgical arm of these patients included C1–C2 fusion, C1–C2 facet distraction and fusion, and unilateral subaxial facet distraction, and posterior column osteotomy. Results: All the twenty patients included in this study complained of either sub-occipital or upper neck pain and had radiological evidence of CVJOA. Seven patients improved with nonsurgical management and 13 underwent surgical intervention. Surgical recommendations for each type of CVJOA have been described with case examples, and algorithm for the management of CVJOA has been developed based on this study. Interobserver agreement on CVJOA classification was measured using kappa value statistics which showed moderate strength of agreement (0.467). Conclusion: This study describes a novel classification and management of CVJOA based on algorithm and current surgical recommendations for each type of CVJOA.
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spelling doaj.art-ab143306481d4f3fb2fcd4ac0c7022a72022-12-21T23:18:26ZengWolters Kluwer Medknow PublicationsJournal of Craniovertebral Junction and Spine0974-82372020-01-0111432133010.4103/jcvjs.JCVJS_172_20A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosisLuis Eduardo Carelli Texeira da SilvaAhsan Ali KhanAlderico Girão Campos de BarrosFernando Miguel KrywinskiFabio Antonio Cabral de Araujo FagundesFelipe Gomes de Souza e SilvaIntroduction: The objective of this study is to propose a novel classification and algorithmic-based management plan for craniovertebral junction osteoarthrosis (CVJOA). Materials and Methods: A retrospective study was done based on prospective database of radiological studies and clinical history. Twenty symptomatic patients (12 females and 8 males) with a mean age of 54.8 years were identified with CVJOA. These patients underwent either nonsurgical treatment only or surgical intervention and had follow-up of at least 14 months. Classification of CVJOA is based on coronal deformity, rigidity, stability, and two modifiers. The main surgical procedures done in the surgical arm of these patients included C1–C2 fusion, C1–C2 facet distraction and fusion, and unilateral subaxial facet distraction, and posterior column osteotomy. Results: All the twenty patients included in this study complained of either sub-occipital or upper neck pain and had radiological evidence of CVJOA. Seven patients improved with nonsurgical management and 13 underwent surgical intervention. Surgical recommendations for each type of CVJOA have been described with case examples, and algorithm for the management of CVJOA has been developed based on this study. Interobserver agreement on CVJOA classification was measured using kappa value statistics which showed moderate strength of agreement (0.467). Conclusion: This study describes a novel classification and management of CVJOA based on algorithm and current surgical recommendations for each type of CVJOA.http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=4;spage=321;epage=330;aulast=Texeirac1-c2 fusioncervical paincraniovertebral junctionfacet distractionosteoarthrosis
spellingShingle Luis Eduardo Carelli Texeira da Silva
Ahsan Ali Khan
Alderico Girão Campos de Barros
Fernando Miguel Krywinski
Fabio Antonio Cabral de Araujo Fagundes
Felipe Gomes de Souza e Silva
A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis
Journal of Craniovertebral Junction and Spine
c1-c2 fusion
cervical pain
craniovertebral junction
facet distraction
osteoarthrosis
title A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis
title_full A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis
title_fullStr A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis
title_full_unstemmed A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis
title_short A novel classification and algorithmic-based management of craniovertebral junction osteoarthrosis
title_sort novel classification and algorithmic based management of craniovertebral junction osteoarthrosis
topic c1-c2 fusion
cervical pain
craniovertebral junction
facet distraction
osteoarthrosis
url http://www.jcvjs.com/article.asp?issn=0974-8237;year=2020;volume=11;issue=4;spage=321;epage=330;aulast=Texeira
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