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Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome

Introduction Managing patients who present with symptoms of cervical myelopathy secondary to cervical ossification of the posterior longitudinal ligament (OPLL) is challenging. Various factors such as the number of levels involved with OPLL, types of OPLL, canal occupying ratio, K-line characteristi...

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Autores principales: Ng, Bing Wui, Tan, Jin Aun, Sabri, Suffian, Baharuddin, Azmi, Muhamad Ariffin, Mohd Hisam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121251/
https://www.ncbi.nlm.nih.gov/pubmed/37090402
http://dx.doi.org/10.7759/cureus.36517
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author Ng, Bing Wui
Tan, Jin Aun
Sabri, Suffian
Baharuddin, Azmi
Muhamad Ariffin, Mohd Hisam
author_facet Ng, Bing Wui
Tan, Jin Aun
Sabri, Suffian
Baharuddin, Azmi
Muhamad Ariffin, Mohd Hisam
author_sort Ng, Bing Wui
collection PubMed
description Introduction Managing patients who present with symptoms of cervical myelopathy secondary to cervical ossification of the posterior longitudinal ligament (OPLL) is challenging. Various factors such as the number of levels involved with OPLL, types of OPLL, canal occupying ratio, K-line characteristics, and C2-C7 lordosis angle were found to guide decision-making and surgical approaches in managing this condition. However, no clear treatment algorithm has been published. This study aims to investigate the outcome of the management of cervical OPLL using a treatment algorithm used in a tertiary university hospital. Methods This is a retrospective cross-sectional study. Patients with cervical myelopathy secondary to cervical OPLL who were treated surgically in our center from 2014 to 2020 were included in this study. Demographic data and preoperative parameters that determined the treatment given according to our treatment algorithm were analyzed. Result A total of 24 patients fit the inclusion and exclusion criteria of the study. The mean recovery rate for all groups is 61.8 [Formula: see text] 21.9% and the mean postoperative neck disability index (NDI) is 17.83 [Formula: see text] 16.67%. There was a statistically significant difference between preoperative and postoperative Japanese Orthopaedic Association (JOA) scores for both anterior and posterior surgery subgroups. Conclusion We believe that the treatment algorithm used in our center could benefit other surgeons as a guide in managing patients who suffer from cervical myelopathy secondary to cervical OPLL. Further study including newer techniques would increase the surgeon's arsenal in providing the best outcome in managing this condition.
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spelling pubmed-101212512023-04-22 Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome Ng, Bing Wui Tan, Jin Aun Sabri, Suffian Baharuddin, Azmi Muhamad Ariffin, Mohd Hisam Cureus Neurology Introduction Managing patients who present with symptoms of cervical myelopathy secondary to cervical ossification of the posterior longitudinal ligament (OPLL) is challenging. Various factors such as the number of levels involved with OPLL, types of OPLL, canal occupying ratio, K-line characteristics, and C2-C7 lordosis angle were found to guide decision-making and surgical approaches in managing this condition. However, no clear treatment algorithm has been published. This study aims to investigate the outcome of the management of cervical OPLL using a treatment algorithm used in a tertiary university hospital. Methods This is a retrospective cross-sectional study. Patients with cervical myelopathy secondary to cervical OPLL who were treated surgically in our center from 2014 to 2020 were included in this study. Demographic data and preoperative parameters that determined the treatment given according to our treatment algorithm were analyzed. Result A total of 24 patients fit the inclusion and exclusion criteria of the study. The mean recovery rate for all groups is 61.8 [Formula: see text] 21.9% and the mean postoperative neck disability index (NDI) is 17.83 [Formula: see text] 16.67%. There was a statistically significant difference between preoperative and postoperative Japanese Orthopaedic Association (JOA) scores for both anterior and posterior surgery subgroups. Conclusion We believe that the treatment algorithm used in our center could benefit other surgeons as a guide in managing patients who suffer from cervical myelopathy secondary to cervical OPLL. Further study including newer techniques would increase the surgeon's arsenal in providing the best outcome in managing this condition. Cureus 2023-03-22 /pmc/articles/PMC10121251/ /pubmed/37090402 http://dx.doi.org/10.7759/cureus.36517 Text en Copyright © 2023, Ng et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Neurology
Ng, Bing Wui
Tan, Jin Aun
Sabri, Suffian
Baharuddin, Azmi
Muhamad Ariffin, Mohd Hisam
Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome
title Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome
title_full Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome
title_fullStr Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome
title_full_unstemmed Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome
title_short Surgical Management of Cervical Ossification of Posterior Longitudinal Ligament: The Treatment Algorithm and Outcome
title_sort surgical management of cervical ossification of posterior longitudinal ligament: the treatment algorithm and outcome
topic Neurology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10121251/
https://www.ncbi.nlm.nih.gov/pubmed/37090402
http://dx.doi.org/10.7759/cureus.36517
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