METHODS: Three published JSW methods were compared using datasets from individuals with RA from three research centers. A SPECTRA consensus method was developed to take advantage of strengths of the individual methods. Using the SPECTRA method, reproducibility after repositioning was tested and agreement between scanner generations was also established.
RESULTS: When comparing existing JSW methods, excellent agreement was shown for JSW minimum and mean (ICC 0.987-0.996) but not maximum and volume (ICC 0.000-0.897). Differences were identified as variations in volume definitions and algorithmic differences that generated high sensitivity to boundary conditions. The SPECTRA consensus method reduced this sensitivity, demonstrating good scan-rescan reliability (ICC >0.911) except for minimum JSW (ICC 0.656). There was strong agreement between results from first- and second-generation HR-pQCT (ICC >0.833).
CONCLUSIONS: The SPECTRA consensus method combines unique strengths of three independently-developed algorithms and leverages underlying software updates to provide a mature analysis to measure 3D JSW. This method is robust with respect to repositioning and scanner generations, suggesting its suitability for detecting change.
方法:使用来自三个研究中心的RA患者的数据集比较了三种已发表的JSW方法。开发了一种SPECTRA共识方法,以利用各个方法的优势。使用SPECTRA方法,测试了重新定位后的可重复性,并且还建立了扫描仪世代之间的一致性。
结果:比较现有的JSW方法时,JSW最小值和平均值(ICC0.987-0.996),但最大值和体积(ICC0.000-0.897)未显示出极好的一致性。差异被识别为体积定义和算法差异的变化,这些差异对边界条件产生了高灵敏度。SPECTRA共识方法降低了这种灵敏度,除最低JSW(ICC0.656)外,扫描-再扫描可靠性良好(ICC>0.911)。第一代和第二代HR-pQCT的结果有很强的一致性(ICC>0.833)。
结论:SPECTRA共识方法结合了三种独立开发的算法的独特优势,并利用底层软件更新提供了测量3DJSW的成熟分析。这种方法对于重新定位和扫描仪代来说是稳健的,表明它适合检测变化。