Fournier B, Chappard C, Roux C, Berger G, Laugier P
Laboratoire d'Imagerie Paramétrique URA CNRS 1458, Paris, France.
Osteoporos Int. 1997;7(4):363-9. doi: 10.1007/BF01623779.
A new approach to measuring bone properties at the calcaneus using ultrasound parametric imaging has recently emerged. However, an additional source of observer-related error is the substantial regional variations in the pattern of ultrasound parameters. The contribution of intra-observer and inter-observer variability to the coefficient of variation can be eliminated using an algorithm which selects the region of interest (ROI) completely automatically. The objective of the present study was the clinical assessment of an automatic ROI for both broadband ultrasonic attenuation (BUA) and speed of sound (SOS) measurement using ultrasound parametric imaging. The automatic ROI was defined as the circular region of lowest attenuation in the posterior tuberosity of the calcaneus. We have tested this algorithm using clinical images of the calcaneus from 265 women. Mean coefficients of variation were 1.6% (95% confidence interval 1.4%-1.9%) and 0.26% (95% confidence interval 0.23%-0.32%) for BUA and SOS respectively (standardized CV was 2.1% for BUA and 2.6% for SOS). Z-scores in an osteoporotic group were -0.61 and -0.52 for BUA and SOS respectively. In healthy women, the age-related decline was -0.50 dB/ MHz per year (0.7%/year) for BUA and -1.2 m/s per year (0.08%/year) for SOS. In the subgroup of healthy postmenopausal women, using stepwise multiple regression, we found that BUA was predicted best by years since menopause (YSM) and weight, with overall model r2 = 0.28; SOS was predicted best by YSM only (r2 = 0.21). Neither the range of biological variation of ultrasound parameters nor the clinical value were affected by the choice of the region of lowest attenuation for measurement. The automatic procedure was totally independent of operator interaction, therefore excluding loss of precision due to intra- or inter-observer variability. The results showed the high precision and robustness of the procedure. These factors make this approach viable for routine clinical use.
最近出现了一种使用超声参数成像测量跟骨骨特性的新方法。然而,与观察者相关的误差的另一个来源是超声参数模式存在显著的区域差异。使用一种能完全自动选择感兴趣区域(ROI)的算法,可以消除观察者内和观察者间变异性对变异系数的影响。本研究的目的是对使用超声参数成像测量宽带超声衰减(BUA)和声速(SOS)的自动ROI进行临床评估。自动ROI被定义为跟骨后结节中衰减最低的圆形区域。我们使用265名女性的跟骨临床图像对该算法进行了测试。BUA和SOS的平均变异系数分别为1.6%(95%置信区间1.4%-1.9%)和0.26%(95%置信区间0.23%-0.32%)(BUA的标准化CV为2.1%,SOS为2.6%)。骨质疏松组中BUA和SOS的Z分数分别为-0.61和-0.52。在健康女性中,BUA每年与年龄相关的下降为-0.50 dB/MHz(每年0.7%),SOS为-1.2 m/s(每年0.08%)。在健康绝经后女性亚组中,使用逐步多元回归分析,我们发现绝经年限(YSM)和体重对BUA的预测效果最佳,总体模型r2 = 0.28;SOS仅由YSM预测效果最佳(r2 = 0.21)。超声参数的生物学变异范围和临床价值均不受选择最低衰减区域进行测量的影响。该自动程序完全独立于操作员的交互,因此排除了由于观察者内或观察者间变异性导致的精度损失。结果表明该程序具有高精度和稳健性。这些因素使得这种方法在常规临床应用中可行。