Cook R B, Collins D, Tucker J, Zioupos P
Department of Materials and Medical Sciences, Cranfield University Postgraduate Medical School, Shrivenham, SN6 8LA, UK.
Osteoporos Int. 2005 Dec;16(12):1565-75. doi: 10.1007/s00198-005-1864-x. Epub 2005 May 10.
The aim of the study is to assess the sensitivity and specificity of different techniques and their ability to act as screening tools in relation to dual energy X-ray absorptiometry (DXA) in a group of 208 postmenopausal women. In this study we examined eight screening systems for the diagnosis of osteoporosis, the osteoporosis self-assessment tool (OST), the osteoporosis risk assessment instrument (ORAI), the osteoporosis index of risk (OSIRIS), a risk index derived using data from the study of osteoporotic fractures (SOFSURF), the simple calculated osteoporosis risk estimation (SCORE), patient body weight (pBW), along with two ultrasound based systems, the Sunlight Omnisense (Sunlight Medical, Rehovot, Israel) and the CUBA Clinical (McCue plc, Winchester, UK). The sensitivity and specificity of the different techniques in relation to DXA were plotted as receiver-operating characteristic (ROC) curves at three different levels (DXA T-score -2.5 osteoporosis, -2 and -1 osteopenia). The areas under the curves (AUC) were calculated and showed broadband ultrasound attenuation (BUA) at the calcaneus to provide consistently the highest AUC (0.77-0.81). The velocity of sound (VOS) of the calcaneus (AUC=0.72-0.76) was equally good, but was out-performed by some of the questionnaire systems (AUC=0.66-0.79). Both the questionnaire systems and the CUBA Clinical out-perform the Sunlight Omnisense (AUC=0.58-0.7), which showed comparable performance with body weight (AUC=0.66-0.69). The results show that QUS is capable of selecting patients with low bone density as measured by DXA. A patient displaying a low QUS value should be followed up with a DXA scan to confirm the diagnosis.
本研究的目的是评估在一组208名绝经后女性中,不同技术相对于双能X线吸收法(DXA)的敏感性和特异性,以及它们作为筛查工具的能力。在本研究中,我们检测了八种用于骨质疏松症诊断的筛查系统,即骨质疏松自我评估工具(OST)、骨质疏松风险评估仪器(ORAI)、骨质疏松风险指数(OSIRIS)、一项利用骨质疏松性骨折研究(SOFSURF)数据得出的风险指数、简易计算骨质疏松风险评估(SCORE)、患者体重(pBW),以及两种基于超声的系统,即阳光全知系统(阳光医疗公司,以色列雷霍沃特)和古巴临床系统(麦丘有限公司,英国温彻斯特)。将不同技术相对于DXA的敏感性和特异性绘制为在三个不同水平(DXA T值-2.5为骨质疏松症、-2和-1为骨质减少)下的受试者工作特征(ROC)曲线。计算曲线下面积(AUC),结果显示跟骨处的宽带超声衰减(BUA)始终提供最高的AUC(0.77 - 0.81)。跟骨的声速(VOS)(AUC = 0.72 - 0.76)同样良好,但在某些问卷系统面前表现稍逊(AUC = 0.66 - 0.79)。问卷系统和古巴临床系统均优于阳光全知系统(AUC = 0.58 - 0.7),阳光全知系统的表现与体重相当(AUC = 0.66 - 0.69)。结果表明,定量超声能够筛选出DXA测量显示骨密度低的患者。QUS值低的患者应进行DXA扫描以确诊。