Whole Knee Cartilage Quantification Based on Informative Locations
Whole Knee Cartilage Quantification Based on Informative Locations
复制标题
基于信息位置的全膝软骨量化
DOI：
10.1109/bibm.2018.8621449
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
DelVecchio, Joseph
中科院分区：
文献类型：
--
作者：
Zhang, Ming;Shan, Juan;Du, Yaodong;Almajalid, Rania;Su, Iris;DelVecchio, Joseph
膝关节骨关节炎（OA）是关节炎的最常见形式，也是老年人活动受限和身体残疾的主要原因。MRI（磁共振成像）上的软骨定量测量代表了膝关节OA的潜在有力替代终点。然而，膝关节软骨的手动分割和测量是耗时的任务，并且对检测进展变化不敏感。在本文中，我们提出了一种新的全膝关节软骨量化方法的基础上提供信息的位置称为软骨损伤指数（CDI）。我们没有标记整个3D MR序列，而是专注于更可能以软骨损失为特征的信息位置。我们对CDI进行了统计研究，并将其与传统的手动分割进行了比较，发现CDI与手动分割具有很高的相关性。CDI还显示出其他有前途的特征：良好的测量可靠性（ICC 0.90~0.98），显著更短的测量时间（~15分钟VS 6小时），以及检测软骨损失缓慢进展的更好灵敏度（SRM：-0.65 VS -0.11）。我们比较了CDI和手动分割与OA疾病其他严重程度测量（关节间隙宽度和膝关节对线）的相关性，结果表明CDI作为检测膝关节骨关节炎进展的新型生物标志物与手动分割相当或更好。
Knee osteoarthritis (OA) is the most common form of arthritis and the major cause of activity limitation and physical disability in older people. Quantitative measures of cartilage on MRI (Magnetic Resonance Imaging) represent potentially powerful surrogate endpoints in knee OA. However, manual segmentation and measurement of the knee cartilage are time-consuming tasks and are not sensitive to detect progression change. In this paper, we proposed a novel whole knee cartilage quantification method based on informative locations called Cartilage Damage Index (CDI). Instead of labeling the entire 3D MR sequence, we focused on the informative locations which are more likely characterized by cartilage loss. We conducted statistical studies for CDI, compared them with traditional manual segmentation, and found that CDI has high correlations with manual segmentation. CDI also shows other promising characteristics: good measurement reliability (ICC 0.90~0.98), a significantly shorter measurement time (~15 mins VS 6 hours), and better sensitivity to detect the slow progression of cartilage loss (SRM: -0.65 VS -0.11). We compared the correlation of CDI and manual segmentation with other severity measurements (joint space width and knee alignment) of OA disease and the results demonstrated that CDI is comparable or better than manual segmentation as a novel biomarker to detect the progression of knee osteoarthritis.
影响因子：
19.7
作者：
Shim, Hackjoon;Chang, Samuel;Bae, Kyongtae T.
通讯作者：
Bae, Kyongtae T.
影响因子：
27.4
作者：
Reginster JY;Badurski J;Bellamy N;Bensen W;Chapurlat R;Chevalier X;Christiansen C;Genant H;Navarro F;Nasonov E;Sambrook PN;Spector TD;Cooper C
通讯作者：
Cooper C
影响因子：
27.4
作者：
Alhadlaq, HA;Xia, Y;Matyas, JR
通讯作者：
Matyas, JR