Literature DB >> 24642217

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

Yun-qi Jiang1, Cheng-cheng Liu2, Ruo-yu Li1, Wen-ping Wang3, Hong Ding3, Qing Qi4, Dean Ta5, Jian Dong6, Wei-qi Wang2.   

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.
Copyright © 2014. Published by Elsevier Inc.

Entities:  

Keywords:  Backscatter; Bone density; Calcaneus; Osteoporosis; Ultrasonography

Mesh:

Year:  2014        PMID: 24642217     DOI: 10.1016/j.ultrasmedbio.2013.12.024

Source DB:  PubMed          Journal:  Ultrasound Med Biol        ISSN: 0301-5629            Impact factor:   2.998


  13 in total

1.  Effect of intervening tissues on ultrasonic backscatter measurements of bone: An in vitro study.

Authors:  Brent K Hoffmeister; P Luke Spinolo; Mark E Sellers; Peyton L Marshall; Ann M Viano; Sang-Rok Lee
Journal:  J Acoust Soc Am       Date:  2015-10       Impact factor: 1.840

2.  Correlation between the combination of apparent integrated backscatter-spectral centroid shift and bone mineral density.

Authors:  Tao Tang; Chengcheng Liu; Feng Xu; Dean Ta
Journal:  J Med Ultrason (2001)       Date:  2016-01-11       Impact factor: 1.314

3.  Effects of acoustic nonlinearities on the ultrasonic backscatter coefficient estimation.

Authors:  Andres Coila; Michael L Oelze
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

4.  Ultrasonic backscatter difference measurements of cancellous bone from the human femur: Relation to bone mineral density and microstructure.

Authors:  Brent K Hoffmeister; Ann M Viano; Jinsong Huang; Luke C Fairbanks; Sheldon C Ebron; Joshua T Moore; Jordan P Ankersen; Matthew T Huber; Abel A Diaz
Journal:  J Acoust Soc Am       Date:  2018-06       Impact factor: 1.840

5.  Relationships among ultrasonic and mechanical properties of cancellous bone in human calcaneus in vitro.

Authors:  Keith A Wear; Srinidhi Nagaraja; Maureen L Dreher; Saghi Sadoughi; Shan Zhu; Tony M Keaveny
Journal:  Bone       Date:  2017-06-27       Impact factor: 4.398

6.  Characterization of a polymer, open-cell rigid foam that simulates the ultrasonic properties of cancellous bone.

Authors:  Brent K Hoffmeister; Matthew T Huber; Ann M Viano; Jinsong Huang
Journal:  J Acoust Soc Am       Date:  2018-02       Impact factor: 1.840

7.  Effect of gate choice on backscatter difference measurements of cancellous bone.

Authors:  Brent K Hoffmeister; Ann M Viano; Luke C Fairbanks; Sheldon C Ebron; Joseph A McPherson; Matthew T Huber
Journal:  J Acoust Soc Am       Date:  2017-08       Impact factor: 1.840

Review 8.  Mechanisms of Interaction of Ultrasound With Cancellous Bone: A Review.

Authors:  Keith A Wear
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-10-16       Impact factor: 2.725

9.  Radiofrequency echographic multispectrometry compared with dual X-ray absorptiometry for osteoporosis diagnosis on lumbar spine and femoral neck.

Authors:  M Di Paola; D Gatti; O Viapiana; L Cianferotti; L Cavalli; C Caffarelli; F Conversano; E Quarta; P Pisani; G Girasole; A Giusti; M Manfredini; G Arioli; M Matucci-Cerinic; G Bianchi; R Nuti; S Gonnelli; M L Brandi; M Muratore; M Rossini
Journal:  Osteoporos Int       Date:  2018-09-04       Impact factor: 4.507

Review 10.  New perspectives in echographic diagnosis of osteoporosis on hip and spine.

Authors:  Sergio Casciaro; Francesco Conversano; Paola Pisani; Maurizio Muratore
Journal:  Clin Cases Miner Bone Metab       Date:  2015-10-26
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