在骨关节性软骨中评估宏观ICRS分级和组织病理性OARSI评分之间的相关性:一个活体分析
Gavish Uppal1, Tarun Goyal2, Anup Kumar3
1Department of Biomedical Engineering, Indian Institute of Technology, Ropar, Rupnagar, India.
Cartilage
|February 11, 2026
概括
使用国际软骨修复协会 (ICRS) 系统对骨关节炎软骨进行宏观分级,显示与国际骨关节炎研究协会 (OARSI) 组织学对先进退化的评分有很强的相关性. 然而,ICRS分级对于早期的软骨损伤不那么可靠.
科学领域:
- 整形外科和运动医学
- 类风湿病学 类风湿病学
- 病理学 病理学 病理学
背景情况:
- 准确评估关节软骨损伤对于骨关节炎的管理和治疗至关重要.
- 组织学评估优先于成像,以准确评估软骨损伤.
- 国际软骨修复学会 (ICRS) 宏观分级系统和国际骨关节炎研究会 (OARSI) 组织病理评分系统被广泛使用.
研究的目的:
- 评估ICRS宏观分级和OARSI骨关节性关节软骨病理学评分之间的相关性.
- 为了确定视觉评估与微观评估在ex-vivo环境中一致的程度.
主要方法:
- 分析了来自19个骨关节炎的人类膝盖的70个关节软骨部分.
- 宏观分类使用ICRS分级系统.
- 组织学评估采用了OARSI评分系统.
- 统计分析包括斯皮尔曼相关性,线性回归和布兰德-阿尔特曼分析.
主要成果:
- 在ICRS和OARSI分数之间发现严重退化的软骨 (ICRS等级0-III) 之间存在强烈的正相关性 (r=0.811).
- 在ICRS等级0-II (r=0.603) 观察到中度相关性,在早期病变 (ICRS等级0-I,r=0.592) 观察到弱相关性.
- OARSI评分系统表现出优异的观察者间和观察者内部一致性 (ICC>0.85) 和高可靠性 (Cronbach的α>0.95).
结论:
- 根据阶段,ICRS宏观分级与OARSI组织学评分相关.
- ICRS分级是适度到高级骨关节炎软骨退化的可靠工具.
- 使用OARSI评分的组织学评估对于准确识别早期退行性变化非常有价值,而ICRS的实用性有限.
关键词:
在ICRS中,ICRS是指ICRS.欧尔西奥尔西是什么意思软骨 软骨 软骨是一种组织病理学 组织病理学影像成像技术 影像成像技术显微镜 显微镜是指使用显微镜.骨科 骨科医生 骨科医生骨关节炎是一种关节炎.更多相关视频
14:21Optical Frequency Domain Imaging of Ex vivo Pulmonary Resection Specimens: Obtaining One to One Image to Histopathology Correlation
Published on: January 22, 2013
14.7K
06:29Comparing Objective Conjunctival Hyperemia Grading and the Ocular Surface Disease Index Score in Dry Eye Syndrome During COVID-19
Published on: May 25, 2022
2.8K
相关概念视频
Sieve Analysis and Grading Curves
1.0K
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
1.0K
Correlations
36.6K
Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
36.6K
Correlation and Causation
42.9K
Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
42.9K
Introduction to z Scores
11.3K
A z score (or standardized value) is measured in units of the standard deviation. It tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
11.3K
Introduction to z Scores
1.4K
A z score (or standardized value) is measured in units of the standard deviation. It indicates how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a zero z score. It is important to note that the mean of the z scores is zero, and the standard deviation is one.
z scores...
z scores...
1.4K
z Scores and Area Under the Curve
19.6K
z scores are the standardized values obtained after converting a normal distribution into a standard normal distribution. A z score is measured in units of the standard deviation. The z score tells you how many standard deviations the value x is above (to the right of) or below (to the left of) the mean, μ. Values of x that are larger than the mean have positive z scores, and values of x that are smaller than the mean have negative z scores. If x equals the mean, then x has a z score of...
19.6K
