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人工椎间盘置换术中异位骨化(HO)的分类

Classification of heterotopic ossification (HO) in artificial disk replacement.

作者信息

McAfee Paul C, Cunningham Bryan W, Devine John, Williams Eric, Yu-Yahiro Janet

机构信息

Scoliosis and Spine Center, St Joseph Hospital, Baltimore, Maryland 21204, USA.

出版信息

J Spinal Disord Tech. 2003 Aug;16(4):384-9. doi: 10.1097/00024720-200308000-00010.

Abstract

There is currently no structured classification system to quantitate heterotopic bone formation after artificial disk replacement procedures. The purpose of this work was to develop a method of classifying heterotopic bone formation that is reliable between investigators with different levels of training and easy to remember with only five gradations of severity. One hundred one radiographs of clinical patients and 17 microradiographs from nonhuman primates having undergone various types of disk replacement were classified by seven independent reviewers. The kappa statistics were calculated for interobserver variation between the seven participants with various levels of spinal training and the intraobserver error based on two assessments made at least 2 months apart. The interobserver reliability correlation coefficient for seven raters calculated using the intraclass kappa correlation coefficient and the Kish rho was r = 0.9683 (P < 0.0001). The intraobserver reliability based on readings at two time intervals at a minimum of 2 months apart was r = 0.8949 (P = 0.01). This classification of heterotopic ossification, periannular calcification, and ectopic bone formation associated with total disk arthroplasty proved to be highly reliable and reproducible.

摘要

目前尚无用于量化人工椎间盘置换术后异位骨形成的结构化分类系统。这项工作的目的是开发一种对异位骨形成进行分类的方法,该方法在接受不同程度培训的研究人员之间具有可靠性,并且仅通过五个严重程度等级就易于记忆。对101例临床患者的X线片和17例接受各种类型椎间盘置换的非人灵长类动物的显微X线片由7名独立 reviewers 进行分类。计算了7名具有不同脊柱培训水平的参与者之间的观察者间变异的kappa统计量,以及基于至少间隔2个月进行的两次评估的观察者内误差。使用组内kappa相关系数和Kish rho计算的7名评分者的观察者间可靠性相关系数为r = 0.9683(P < 0.0001)。基于至少间隔2个月的两个时间间隔的读数的观察者内可靠性为r = 0.8949(P = 0.01)。事实证明,这种与全椎间盘置换相关的异位骨化、环周钙化和异位骨形成的分类具有高度可靠性和可重复性。

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