摘要
目的应用声速匹配组织量化技术探讨正常人肝区域速度指数(zonespeedindex,ZSI)的检测方法和相关影响因素。方法应用ZonareZ.oneUltra超声诊断仪检测49例健康人的肝ZSI值。前15例接受4个位置(肝右叶浅部、肝右叶深部、肝左叶浅部及肝左叶深部)的检测,计算每个部位的检测成功率及组内相关系数(ICC),以选择合适的采集部位并评估检测的重复性;后34例在最佳检测部位接受肝ZSI测量。肝ZSI值正常参考值按x±1.96S计算,并分析年龄、性别和体质量指数与ZSI的关系。结果ZSI值检测稳定性较好,肝右叶的检测成功率更高,以肝右叶被膜下1cm为最佳检测部位。健康人群肝ZSI值与年龄和性别无相关性,与体质量指数呈良好的负相关(r=-0.63,P=0.000)。体质重指数在18.5~23.9kg/m2之间肝ZSI参考值为5.67~36.29m/s。结论肝ZSI值检测具有较好的稳定性,有望成为定量评价肝弹性的一种新方法。
Objective To establish the measuring methods and relevant influencing factors of liver zone speed index (ZSI) by sound velocity tissue quantification (SVQ) technology in healthy subjects. Methods Liver ZSI were obtained in 49 healthy volunteers using SVQ technique with Zonare Z. one Ultra system. In the first 15 subjects,ZSI were acquired at four positions ( superficial and deep parts of right lobe, superficial and deep parts of left lobe). Then the achievement rate in different position of liver was calculated to select the suitable measuring position. The reproducibility was analyzed with intra-group correlation coefficient(ICC). The last 34 healthy subjects received ZSI measurements in the appropriate position only. The reference value of ZSI was calculated using 2 -+ 1.96 s. Results It was stable to measure values of ZSI with SVQ technique. The achievement rate was higher in right lobe with being 1 cm below the liver capsule for the optimal measuring point. There was no significant difference of ZSI value between male and female groups. There was no significant correlation between age and values of ZSI while a significant negative correlation was found between body mass index (BMI) and values of ZSI ( r = -0.63, P = 0. 000). The reference value of body mass index between 18.5 - 23.9 kg/m2 was 5.67 - 36.29 m/s. Conclusions ZSI values of liver measured with SVQ technique shows a good stability and may be a new promising method for assessment of liver elasticity quantitatively.
出处
《中华超声影像学杂志》
CSCD
北大核心
2013年第2期127-129,共3页
Chinese Journal of Ultrasonography
关键词
超声检查
肝
声速匹配组织量化
Ultrasonography Liver
Sound velocity tissues quantification