Suppr超能文献

体内跟骨表观积分背向散射系数和背向散射光谱质心移位分析用于骨质疏松症的超声评估

Analysis of apparent integrated backscatter coefficient and backscattered spectral centroid shift in Calcaneus in vivo for the ultrasonic evaluation of osteoporosis.

作者信息

Jiang Yun-qi, Liu Cheng-cheng, Li Ruo-yu, Wang Wen-ping, Ding Hong, Qi Qing, Ta Dean, Dong Jian, Wang Wei-qi

机构信息

Department of Orthopaedic Surgery, Zhongshan Hospital, Fudan University, Shanghai, PR China.

Electronic Engineering Department of Fudan University, Shanghai, PR China.

出版信息

Ultrasound Med Biol. 2014 Jun;40(6):1307-17. doi: 10.1016/j.ultrasmedbio.2013.12.024. Epub 2014 Mar 15.

Abstract

The purposes of our study were to evaluate the correlation among apparent integrated backscatter coefficient (AIB), spectral centroid shift (SCS) of ultrasonic backscatter signals and bone mineral density (BMD) and to examine the effectiveness of ultrasound variables as predictors of osteoporosis. A total of 1011 persons aged 21-80 y old were included. All study participants underwent BMD measurements of the lumbar spine (LSBMD) and the femoral neck (FNBMD). The participants also underwent calcaneal measurements to determine AIB and SCS with central frequencies of 3.5 (one transducer) and 5.0 MHz (the other transducer). AIB decreased with age and was positively correlated with BMD, while SCS increased with age and was negatively correlated with BMD. The correlation coefficient of SCS with LSBMD and FNBMD at 3.5 MHz was -0.72 and -0.70, respectively. The correlation coefficient at 5.0 MHz was -0.75 and -0.74, respectively. The correlation coefficient of AIB with LSBMD and FNBMD at 3.5 MHz was 0.65 and 0.63. The correlation coefficient at 5.0 MHz was 0.59 and 0.55, respectively. The correlation between SCS and BMD was significantly better than the correlation between AIB and BMD. Using receiver operating characteristic analysis, a significant difference was found between the areas under the curve for SCS and AIB at 3.5 MHz (0.781 vs. 0.715, respectively, p < 0.05), as well as at 5.0 MHz (0.782 vs. 0.709, respectively, p < 0.05). The optimum T-score threshold for SCS was -1.3 for both transducers. The sensitivity and specificity of SCS at 3.5 MHz and 5.0 MHz for the optimum threshold were 64%, 85%, 63% and 86%, respectively. In conclusion, the correlations among the ultrasound parameters and BMDs are strong. SCS performs better than AIB in differentiating patients with osteoporosis. Ultrasound variables may be taken into consideration as predictors of osteoporosis in the future considering its portability.

摘要

我们研究的目的是评估超声背向散射信号的表观积分背向散射系数(AIB)、频谱中心频率偏移(SCS)与骨密度(BMD)之间的相关性,并检验超声变量作为骨质疏松症预测指标的有效性。总共纳入了1011名年龄在21至80岁之间的人。所有研究参与者均接受了腰椎骨密度(LSBMD)和股骨颈骨密度(FNBMD)测量。参与者还接受了跟骨测量,以确定中心频率分别为3.5MHz(一个换能器)和5.0MHz(另一个换能器)时的AIB和SCS。AIB随年龄增长而降低,与BMD呈正相关,而SCS随年龄增长而增加,与BMD呈负相关。3.5MHz时SCS与LSBMD和FNBMD的相关系数分别为-0.72和-0.70。5.0MHz时的相关系数分别为-0.75和-0.74。3.5MHz时AIB与LSBMD和FNBMD的相关系数分别为0.65和0.63。5.0MHz时的相关系数分别为0.59和0.55。SCS与BMD之间的相关性明显优于AIB与BMD之间的相关性。使用受试者工作特征分析发现,3.5MHz时SCS和AIB曲线下面积之间存在显著差异(分别为0.781和0.715,p<0.05),5.0MHz时也是如此(分别为0.782和0.709,p<0.05)。两个换能器的SCS最佳T值阈值均为-1.3。3.5MHz和5.0MHz时SCS在最佳阈值下的敏感性和特异性分别为64%、85%、63%和86%。总之,超声参数与骨密度之间的相关性很强。在区分骨质疏松症患者方面,SCS比AIB表现更好。考虑到超声的便携性,未来可将超声变量作为骨质疏松症的预测指标。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验