Literature DB >> 16467973

Structural analysis of trabecular bone of the proximal femur using multislice computed tomography: a comparison with dual X-ray absorptiometry for predicting biomechanical strength in vitro.

J S Bauer1, S Kohlmann, F Eckstein, D Mueller, E-M Lochmüller, T M Link.   

Abstract

We investigated whether trabecular microstructural parameters determined in multislice spiral computed tomographic (MSCT) images of proximal femur specimens differed in male and female donors and improved the prediction of biomechanical strength of the femur compared to bone mineral density (BMD) and content (BMC) determined with dual X-ray absorptiometry (DXA) as the standard diagnostic technique. Proximal femur specimens (n = 119) were harvested from formalin-fixed human cadavers (mean age 80 +/- 10 years). BMD was determined using DXA. Trabecular microstructural parameters (bone volume fraction, fractal dimension, and trabecular thickness, spacing, and number) were calculated in MSCT-derived images of the proximal femur. Failure load (FL) was measured using a biomechanical side-impact test. An age-, height-, and weight-matched subgroup (n = 54) was chosen to compare male and female donors. BMC, BMD, and structural parameters correlated significantly with FL, with r up to 0.75, 0.71, and 0.71, respectively. In a multiple regression model, an increase up to r = 0.82 was obtained when combining trabecular structural parameters and BMC. BMD differed between males and females only at the trochanter. BMC showed significant gender differences in all regions. This experimental study showed that a combination of BMC and microstructural parameters could improve the prediction of FL, suggesting that bone mass and trabecular structure carry overlapping but complementary information and that a combination of the two provides the best prediction of bone strength. Male donors had larger femora even after adjustment for body size and height, but no differences in trabecular structure were found between males and females.

Entities:  

Mesh:

Year:  2006        PMID: 16467973     DOI: 10.1007/s00223-005-0070-3

Source DB:  PubMed          Journal:  Calcif Tissue Int        ISSN: 0171-967X            Impact factor:   4.333


  29 in total

Review 1.  [New techniques for the diagnosis of osteoporosis].

Authors:  A S Issever; T M Link
Journal:  Radiologe       Date:  2006-10       Impact factor: 0.635

2.  Combination of texture analysis and bone mineral density improves the prediction of fracture load in human femurs.

Authors:  T Le Corroller; J Halgrin; M Pithioux; D Guenoun; P Chabrand; P Champsaur
Journal:  Osteoporos Int       Date:  2011-07-08       Impact factor: 4.507

3.  The Association Between BMI and QCT-Derived Proximal Hip Structure and Strength in Older Men: A Cross-Sectional Study.

Authors:  Jian Shen; Carrie M Nielson; Lynn M Marshall; David C Lee; Tony M Keaveny; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2015-07       Impact factor: 6.741

4.  Introducing Anisotropic Minkowski Functionals and Quantitative Anisotropy Measures for Local Structure Analysis in Biomedical Imaging.

Authors:  Axel Wismüller; Titas De; Eva Lochmüller; Felix Eckstein; Mahesh B Nagarajan
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-29

5.  Predicting the Biomechanical Strength of Proximal Femur Specimens through High Dimensional Geometric Features and Support Vector Regression.

Authors:  Chien-Chun Yang; Mahesh B Nagarajan; Markus B Huber; Julio Carballido-Gamio; Jan S Bauer; Thomas Baum; Felix Eckstein; Eva Lochmüller; Sharmila Majumdar; Thomas M Link; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03

6.  Predicting the Biomechanical Strength of Proximal Femur Specimens with Minkowski Functionals and Support Vector Regression.

Authors:  Chien-Chun Yang; Mahesh B Nagarajan; Markus B Huber; Julio Carballido-Gamio; Jan S Bauer; Thomas Baum; Felix Eckstein; Eva-Maria Lochmüller; Thomas M Link; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-03-13

7.  Using Anisotropic 3D Minkowski Functionals for Trabecular Bone Characterization and Biomechanical Strength Prediction in Proximal Femur Specimens.

Authors:  Mahesh B Nagarajan; Titas De; Eva-Maria Lochmüller; Felix Eckstein; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2014-04-09

8.  Characterizing Trabecular Bone structure for Assessing Vertebral Fracture Risk on Volumetric Quantitative Computed Tomography.

Authors:  Mahesh B Nagarajan; Walter A Checefsky; Anas Z Abidin; Halley Tsai; Xixi Wang; Susan K Hobbs; Jan S Bauer; Thomas Baum; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2015-03-17

9.  Assessing vertebral fracture risk on volumetric quantitative computed tomography by geometric characterization of trabecular bone structure.

Authors:  Walter A Checefsky; Anas Z Abidin; Mahesh B Nagarajan; Jan S Bauer; Thomas Baum; Axel Wismüller
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2016-03-24

10.  Proximal femoral structure and the prediction of hip fracture in men: a large prospective study using QCT.

Authors:  Dennis M Black; Mary L Bouxsein; Lynn M Marshall; Steven R Cummings; Thomas F Lang; Jane A Cauley; Kristine E Ensrud; Carrie M Nielson; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2008-08       Impact factor: 6.741

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.