joint space width (JSW)

  • 文章类型: Journal Article
    UNASSIGNED: Although plain radiology is the primary method for assessing joint space width (JSW), it has poor sensitivity to change over time in regards to determining longitudinal progression. We, therefore, developed a new ultrasound (US) measurement method of knee JSW and aimed to provide a monitoring method for the change of JSW in the future.
    UNASSIGNED: A multicenter study was promoted by the Professional Committee of Musculoskeletal Ultrasound, the Ultrasound Society, and the Chinese Medical Doctor Association. US study of knee specimens determined the landmarks for ultrasonic measurement of knee JSW. The US of 1,272 participants from 27 centers was performed to discuss the feasibility and possible influencing factors of knee JSW. The landmarks for US measurement of knee JS, the inflection point of medial femoral epicondyle and the proximal end of the tibia, were determined.
    UNASSIGNED: The mean knee JSW1 (medial knee JSW) was 8.57±1.95 mm in females and 9.52±2.31 mm in males. The mean knee JSW2 (the near medial knee JSW) was 9.07±2.24 mm in females and 10.17±2.35 mm in males. The JSW values of males were significantly higher than those of females, with a statistical difference. JSW values were negatively correlated with age and body mass index (BMI) to different degrees and positively correlated with height.
    UNASSIGNED: The novel US measurement method can be used to measure knee JSW.
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  • 文章类型: Journal Article
    背景:通过常规常规放射学量表对类风湿关节炎(RA)的关节间隙评估易受地板和天花板效应的影响。高分辨率外周定量计算机断层扫描(HR-pQCT)提供了卓越的分辨率,并可能检测到早期的变化。这项工作的目的是将现有的3D方法与HR-pQCT比较,以计算人类掌指骨(MCP)关节的关节空间宽度(JSW)指标,并在未来的研究中达成共识。使用共识方法,我们确定了重新定位的可重复性以及用于第二代HR-pQCT扫描仪的可行性.
    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。
    BACKGROUND: Joint space assessment for rheumatoid arthritis (RA) by ordinal conventional radiographic scales is susceptible to floor and ceiling effects. High-resolution peripheral quantitative computed tomography (HR-pQCT) provides superior resolution, and may detect earlier changes. The goal of this work was to compare existing 3D methods to calculate joint space width (JSW) metrics in human metacarpophalangeal (MCP) joints with HR-pQCT and reach consensus for future studies. Using the consensus method, we established reproducibility with repositioning as well as feasibility for use in second-generation HR-pQCT scanners.
    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.
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  • 文章类型: Journal Article
    Osteoarthritis (OA) is the most common disease of synovial joints and currently lacks treatment options that modify structural pathology. Imaging is ideally suited for directly evaluating efficacy of disease-modifying OA drugs (DMOADs) in clinical trials, with plain radiography and MRI being most often applied. The current article is based on a debate held on April 26, 2014, at the World Congress of Osteoarthritis: The authors were invited to contrast strengths and limitations of both methods, highlighting scientific evidence on reliability, construct-validity, and correlations with clinical outcome, and comparing their sensitivity to change in knee OA and sensitivity to DMOAD treatment. The authors concluded that MRI provides more comprehensive information on articular tissues pathology, and that implementation of radiography in clinical trials remains a challenge. However, neither technique has thus far been demonstrated to be strongly superior over the other; for the time being it therefore appears advisable to use both in parallel in clinical trials, to provide more evidence on their relative performance. Radiographic JSW strongly depends on adequate positioning; it is not specific to cartilage loss but also to the meniscus. MRI provides somewhat superior sensitivity to change compared with the commonly used non-fluoroscopic radiographic acquisition protocols, and has recently provided non-location-dependent measures of cartilage thickness loss and gain, which are potentially more sensitive in detecting DMOAD effects than radiographic JSW or region-specific MRI. Non-location-dependent measures of cartilage thickness change should thus be explored further in context of anabolic and anti-catabolic DMOADs.
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