首页> 外文期刊>Spine >Quantitative measures of modic changes in lumbar spine magnetic resonance imaging: intra- and inter-rater reliability.
【24h】

Quantitative measures of modic changes in lumbar spine magnetic resonance imaging: intra- and inter-rater reliability.

机译:腰椎磁共振成像的模态变化的定量测量:评定者内部和评定者之间的可靠性。

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

STUDY DESIGN: A measurement reliability study. OBJECTIVE: To develop quantitative measures for Modic changes (MCs) on magnetic resonance (MR) images and evaluate measurement reliability. SUMMARY OF BACKGROUND DATA: MCs have been studied for more than 20 years but the clinical significance remains controversial. Little effort has been made to improve the measurement of MCs. METHODS: The study was approved by the responsible institutional review board. On the basis of Modic classification, a series of quantitative dimension and signal intensity measures were developed for assessing MCs. Midsagittal T1- and T2-weighted MR images from 83 lumbar spines were then qualitatively and quantitatively assessed by two observers independently. Kappa and intraclass correlation coefficient (ICC) were used to examine intra- and inter-rater reliability. Pearson correlation coefficient was used to assess the relationships between the quantitative measurements of MCs. Mean absolute deviation (MAD) and Bland-Altman plots also were used to evaluate measurement errors and limits of agreement for selected measures. RESULTS: For Modic classification, intrarater agreement was excellent (kappa = 0.88) and inter-rater agreement was substantial (kappa = 0.79). Intrarater agreement also was excellent when obtaining dimension measurements (ICC = 0.82-0.96) from T1- or T2-weighted images and inter-rater agreement was slightly greater using T1-weighted images (ICC = 0.73-0.88) than T2-weighted images (ICC = 0.66-0.82). Signal intensity measurements on T2-weighted images were found to have almost perfect intra- and inter-rater reliability (ICC = 0.92-0.99). The correlation analysis demonstrated that the quantitative measures represent different constructs. The MAD and Bland-Altman Plots further confirmed the high reliability of the area ratio, MCs mean signal intensity and MCs total signal intensity measurements. CONCLUSION: Three quantitative measures are suggested to assess the severity of MCs, which provide reliable, precise measurements for research on the etiology, pathogenesis, and clinical relevance of MCs.
机译:研究设计:测量可靠性研究。目的:开发定量测量磁共振(MR)图像上的模态变化(MC)并评估测量的可靠性。背景数据概述:MC已经研究了20多年,但其临床意义仍存在争议。几乎没有做出任何努力来改善MC的测量。方法:该研究得到负责任的机构审查委员会的批准。基于Modic分类,开发了一系列定量维度和信号强度度量来评估MC。然后分别由两名观察者定性和定量评估来自83个腰椎的矢状T1和T2加权MR图像。使用Kappa和组内相关系数(ICC)来检查评定者内部和评定者之间的可靠性。皮尔逊相关系数用于评估MC定量测量之间的关系。平均绝对偏差(MAD)和Bland-Altman图也用于评估测量误差和所选测量的一致性极限。结果:对于Modic分类,评分者内部一致性极好(kappa = 0.88),评分者间一致性非常好(kappa = 0.79)。从T1或T2加权图像获得尺寸测量值(ICC = 0.82-0.96)时,评分者内部一致性也非常好,使用T1加权图像(ICC = 0.73-0.88)时评分者之间的一致性略大于T2加权图像( ICC = 0.66-0.82)。发现在T2加权图像上的信号强度测量具有几乎完美的评定者内部和评定者之间的可靠性(ICC = 0.92-0.99)。相关分析表明,定量指标代表不同的结构。 MAD和Bland-Altman图进一步证实了面积比,MCs平均信号强度和MCs总信号强度测量的高可靠性。结论:建议采用三种定量方法评估MC的严重程度,为MC的病因,发病机制和临床相关性研究提供可靠,精确的测量。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号