Literature DB >> 25261885

Accuracy and reproducibility of bending stiffness measurements by mechanical response tissue analysis in artificial human ulnas.

Patricia A Arnold1, Emily R Ellerbrock1, Lyn Bowman1, Anne B Loucks2.   

Abstract

Osteoporosis is characterized by reduced bone strength, but no FDA-approved medical device measures bone strength. Bone strength is strongly associated with bone stiffness, but no FDA-approved medical device measures bone stiffness either. Mechanical Response Tissue Analysis (MRTA) is a non-significant risk, non-invasive, radiation-free, vibration analysis technique for making immediate, direct functional measurements of the bending stiffness of long bones in humans in vivo. MRTA has been used for research purposes for more than 20 years, but little has been published about its accuracy. To begin to investigate its accuracy, we compared MRTA measurements of bending stiffness in 39 artificial human ulna bones to measurements made by Quasistatic Mechanical Testing (QMT). In the process, we also quantified the reproducibility (i.e., precision and repeatability) of both methods. MRTA precision (1.0±1.0%) and repeatability (3.1 ± 3.1%) were not as high as those of QMT (0.2 ± 0.2% and 1.3+1.7%, respectively; both p<10(-4)). The relationship between MRTA and QMT measurements of ulna bending stiffness was indistinguishable from the identity line (p=0.44) and paired measurements by the two methods agreed within a 95% confidence interval of ± 5%. If such accuracy can be achieved on real human ulnas in situ, and if the ulna is representative of the appendicular skeleton, MRTA may prove clinically useful.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bending stiffness; Composite ulna; Mechanical response tissue analysis; Quasistatic mechanical testing

Mesh:

Year:  2014        PMID: 25261885     DOI: 10.1016/j.jbiomech.2014.09.005

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  4 in total

1.  Response to Loucks et al.'s Comment on "Clinical Evaluation of Bone Strength and Fracture Risk".

Authors:  X Sherry Liu; Chantal M J de Bakker; Wei-Ju Tseng; Yihan Li; Hongbo Zhao
Journal:  Curr Osteoporos Rep       Date:  2017-08       Impact factor: 5.096

Review 2.  Response to "Clinical Evaluation of Bone Strength and Fracture Risk".

Authors:  Anne B Loucks; Brian C Clark; Lyn Bowman
Journal:  Curr Osteoporos Rep       Date:  2017-08       Impact factor: 5.096

3.  A novel method for bone fatigue monitoring and prediction.

Authors:  Michelle L Cler; Joseph J Kuehl; Carolyn Skurla; David Chelidze
Journal:  Bone Rep       Date:  2019-08-17

Review 4.  In Vivo Assessment of Cortical Bone Fragility.

Authors:  Lyn Bowman; Anne B Loucks
Journal:  Curr Osteoporos Rep       Date:  2020-02       Impact factor: 5.096

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.