Latest knowledge on a comprehensive understanding of cervical deformity and selection of effective treatment methods using recent classification systems: a narrative review.

IF 2.3 Q2 ORTHOPEDICS Asian Spine Journal Pub Date : 2024-08-01 Epub Date: 2024-08-08 DOI:10.31616/asj.2024.0071
Seok Woo Kim
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Abstract

Surgical treatment for patients with cervical spine deformities is challenging for both patients and doctors. For successful surgical treatment, mastery of processes is important to objectively evaluate and classify the degree of deformity. Recently, efforts have been increasing to systematically understand, evaluate, and effectively treat complex cervical spine deformities. Various parameters are being developed to quantify and objectively evaluate the degree of cervical spine deformity, and classification methods are being introduced to help establish the treatment scope by categorizing it according to the degree of deformity. However, a comprehensive and systematic understanding of complex deformities using only the currently introduced classification methods and related knowledge is not easy. Through this review, we aimed to introduce various classification methods and their pros and cons to evaluate cervical deformities, analyze their meaning, and provide a basic understanding of the evaluation and classification of patients with cervical spine deformities. This review also aimed to aid in the decision-making process for the treatment of cervical spine deformities by presenting a structured treatment algorithm based on recently known classification systems and lay the foundation for efficient treatment.

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利用最新分类系统全面了解颈椎畸形和选择有效治疗方法的最新知识:叙述性综述。
颈椎畸形患者的手术治疗对患者和医生来说都具有挑战性。要想成功进行手术治疗,必须掌握客观评估和分类畸形程度的流程。最近,人们越来越致力于系统地了解、评估和有效治疗复杂的颈椎畸形。目前正在开发各种参数来量化和客观评估颈椎畸形的程度,并引入分类方法,根据畸形程度进行分类,以帮助确定治疗范围。然而,仅凭目前引入的分类方法和相关知识来全面系统地了解复杂畸形并非易事。通过本综述,我们旨在介绍评估颈椎畸形的各种分类方法及其利弊,分析其意义,为颈椎畸形患者的评估和分类提供一个基本的认识。本综述还旨在通过介绍基于最新已知分类系统的结构化治疗算法,为治疗颈椎畸形的决策过程提供帮助,并为高效治疗奠定基础。
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来源期刊
Asian Spine Journal
Asian Spine Journal ORTHOPEDICS-
CiteScore
5.10
自引率
4.30%
发文量
108
审稿时长
24 weeks
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