Literature DB >> 16311437

Improved performance of hip DXA using a novel region of interest in the upper part of the femoral neck: in vitro study using bone strength as a standard of reference.

Holger F Boehm1, Felix Eckstein, Caecilia Wunderer, Volker Kuhn, Eva-Maria Lochmueller, Karin Schreiber, Dirk Mueller, Ernst J Rummeny, Thomas M Link.   

Abstract

We tested the hypothesis that bone mineral density (BMD) and bone mineral content (BMC) in proximal human femur specimens in the upper neck region of interest (ROI) and femoral neck axis length (FNAL) provide a significantly better prediction of femoral bone strength than standard ROIs in vitro. BMD and BMC were measured in 110 proximal femur specimens using a standard dual-energy X-ray absorptiometry (DXA) scanner. The analysis included a new ROI in the upper neck as well as the standard ROIs. FNAL was obtained from the scan images. The specimens' failure-load was measured in a mechanical loading device, simulating a fall on the greater trochanter. For the standard ROIs, correlations between failure-load and BMD ranged from R2 = 0.64 (shaft ROI) to R2 = 0.70, p < 0.001 (femoral neck). Prediction of strength by BMD did not significantly differ from those of BMC (R2 ranging from 0.65 to 0.75, p < 0.001). In the upper neck ROI, for both BMD and BMC correlations with failure-load were higher (R2 = 0.76 and 0.81, respectively; p < 0.001). A lower, yet still significant, correlation was found between FNAL and bone strength (R2 = 0.23, p < 0.001). Normalization of failure-load with respect to FNAL did not significantly increase the correlations with densitometric measures. This study provides in vitro evidence indicating that among the ROIs of the proximal femur the newly defined upper neck ROI provides the best prediction of bone strength. Only a weak association was observed between failure load and FNAL.

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Year:  2005        PMID: 16311437     DOI: 10.1385/jcd:8:4:488

Source DB:  PubMed          Journal:  J Clin Densitom        ISSN: 1094-6950            Impact factor:   2.963


  12 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.  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

3.  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

4.  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

5.  Improving bone strength prediction in human proximal femur specimens through geometrical characterization of trabecular bone microarchitecture 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:  J Electron Imaging       Date:  2014-01-09       Impact factor: 0.945

6.  Male-female differences in the association between incident hip fracture and proximal femoral strength: a finite element analysis study.

Authors:  J H Keyak; S Sigurdsson; G Karlsdottir; D Oskarsdottir; A Sigmarsdottir; S Zhao; J Kornak; T B Harris; G Sigurdsson; B Y Jonsson; K Siggeirsdottir; G Eiriksdottir; V Gudnason; T F Lang
Journal:  Bone       Date:  2011-03-16       Impact factor: 4.398

7.  Three-dimensional structural analysis of the proximal femur in an age-stratified sample of women.

Authors:  Kristy M Nicks; Shreyasee Amin; L Joseph Melton; Elizabeth J Atkinson; Louise K McCready; B Lawrence Riggs; Klaus Engelke; Sundeep Khosla
Journal:  Bone       Date:  2013-02-26       Impact factor: 4.398

8.  Identify fracture-critical regions inside the proximal femur using statistical parametric mapping.

Authors:  Wenjun Li; John Kornak; Tamara Harris; Joyce Keyak; Caixia Li; Ying Lu; Xiaoguang Cheng; Thomas Lang
Journal:  Bone       Date:  2008-12-24       Impact factor: 4.398

9.  Automated 3D trabecular bone structure analysis of the proximal femur--prediction of biomechanical strength by CT and DXA.

Authors:  T Baum; J Carballido-Gamio; M B Huber; D Müller; R Monetti; C Räth; F Eckstein; E M Lochmüller; S Majumdar; E J Rummeny; T M Link; J S Bauer
Journal:  Osteoporos Int       Date:  2009-10-27       Impact factor: 4.507

10.  Impaired bone mineralization accompanied by low vitamin D and secondary hyperparathyroidism in patients with femoral neck fracture.

Authors:  S Seitz; T Koehne; C Ries; A De Novo Oliveira; F Barvencik; B Busse; C Eulenburg; T Schinke; K Püschel; J M Rueger; M Amling; P Pogoda
Journal:  Osteoporos Int       Date:  2012-05-12       Impact factor: 4.507

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