Literature DB >> 11351496

Effect of fixation, soft-tissues, and scan projection on bone mineral measurements with dual energy X-ray absorptiometry (DXA).

E M Lochmüller1, N Krefting, D Bürklein, F Eckstein.   

Abstract

The objective of this study was to determine the effect of fixation, soft tissues, and scan projection on bone mineral measurements with dual energy X-ray absorptiometry (DXA). In seven fresh cadavers, DXA scans were obtained within 48 hours of death and after 10 months of fixation with 5% formalin/95% ethanol. The measurements showed a high linear relationship (r2 > 0.97; SEE% < 10%), with no significant deviation after fixation (except for total body BMD: -3.1%). In 14 specimens, the precision of femoral and spinal analyses was determined under in situ and ex situ conditions. There was no significant difference between ex situ and in situ reproducibility, the coefficient of variation being < 3% for the BMC and < 2% for the BMD (except at the greater trochanter). The effect of the soft tissues and scan projection was assessed in 83 cadavers aged 80.4 +/- 10.3 years. The soft tissues had only a small effect on analyses of the total femur (r2 > 0.90; SEE% < 9%), but led to more substantial deviations in regional femoral analyses and in the spine (r2 = 0.78-0.90; SEE% = 8-22%). Comparing lateral with anterior-posterior (AP) spinal scans, the vertebral bodies were found to occupy 40.2 +/- 7.2% of the BMC, and 62.0 +/- 11.2% of the BMD, the ranges being 26-58%, and 38-91%, respectively. There were large deviations from linearity between in situ AP and ex situ lateral spinal scans with r2 values of 0.63 and 0.73 for BMD and BMC (SEE% = 52% and 27% relative to the vertebral body), respectively.

Entities:  

Mesh:

Year:  2001        PMID: 11351496     DOI: 10.1007/s002230001192

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


  17 in total

1.  Can geometry-based parameters from pQCT and material parameters from quantitative ultrasound (QUS) improve the prediction of radial bone strength over that by bone mass (DXA)?

Authors:  M Hudelmaier; V Kuhn; E M Lochmüller; H Well; M Priemel; T M Link; F Eckstein
Journal:  Osteoporos Int       Date:  2004-01-22       Impact factor: 4.507

2.  The trabecular architecture of the superior articular process of the lumbar spine (L2-S1).

Authors:  Susanne Drews; Maiko Matsuura; Reinhard Putz
Journal:  Surg Radiol Anat       Date:  2008-02-26       Impact factor: 1.246

3.  Cortical and trabecular bone structure analysis at the distal radius-prediction of biomechanical strength by DXA and MRI.

Authors:  Thomas Baum; Melanie Kutscher; Dirk Müller; Christoph Räth; Felix Eckstein; Eva-Maria Lochmüller; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2012-11-22       Impact factor: 2.626

4.  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

5.  Gender differences in trabecular bone architecture of the distal radius assessed with magnetic resonance imaging and implications for mechanical competence.

Authors:  Martin Hudelmaier; A Kollstedt; E M Lochmüller; V Kuhn; F Eckstein; T M Link
Journal:  Osteoporos Int       Date:  2005-03-03       Impact factor: 4.507

6.  Experimental hip fracture load can be predicted from plain radiography by combined analysis of trabecular bone structure and bone geometry.

Authors:  P Pulkkinen; T Jämsä; E-M Lochmüller; V Kuhn; M T Nieminen; F Eckstein
Journal:  Osteoporos Int       Date:  2007-09-22       Impact factor: 4.507

7.  Trabecular bone structure analysis of the spine using clinical MDCT: can it predict vertebral bone strength?

Authors:  Thomas Baum; Martin Gräbeldinger; Christoph Räth; Eduardo Grande Garcia; Rainer Burgkart; Janina M Patsch; Ernst J Rummeny; Thomas M Link; Jan S Bauer
Journal:  J Bone Miner Metab       Date:  2013-04-20       Impact factor: 2.626

8.  Application of a Neural Network Classifier to Radiofrequency-Based Osteopenia/Osteoporosis Screening.

Authors:  Johnathan W Adams; Ziming Zhang; Gregory M Noetscher; Ara Nazarian; Sergey N Makarov
Journal:  IEEE J Transl Eng Health Med       Date:  2021-08-30       Impact factor: 3.316

9.  Temperature influence on DXA measurements: bone mineral density acquisition in frozen and thawed human femora.

Authors:  Dirk Wähnert; Konrad L Hoffmeier; Gabriele Lehmann; Rosemarie Fröber; Gunther O Hofmann; Thomas Mückley
Journal:  BMC Musculoskelet Disord       Date:  2009-02-24       Impact factor: 2.362

10.  Discordant effect of body mass index on bone mineral density and speed of sound.

Authors:  Miriam Steinschneider; Philippe Hagag; Micha J Rapoport; Mordechai Weiss
Journal:  BMC Musculoskelet Disord       Date:  2003-07-16       Impact factor: 2.362

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.