Literature DB >> 23281096

Use of DXA-based finite element analysis of the proximal femur in a longitudinal study of hip fracture.

Kim E Naylor1, Eugene V McCloskey, Richard Eastell, Lang Yang.   

Abstract

Bone mineral density (BMD) measured by dual-energy X-ray absorptiometry (DXA) is used for clinical assessment of fracture risk; however, measurements that incorporate bone strength could improve predictive ability. The aim of this study was to determine whether bone strength derived from finite element (FE) analysis was associated with hip fracture risk in a longitudinal study. We studied 728 women (mean age 82 years), 182 with subsequent hip fracture. FE models were generated from baseline DXA scans of the hip to determine femoral bone strength and load-to-strength ratio (LSR). The baseline LSR was significantly higher in fracture cases (median 1.1) compared with controls (0.7, p < 0.0001). Femoral strength and BMD were also significantly lower in cases (median 1820 N, 0.557 g/cm(2)) compared with controls (2614 N, 0.618 g/cm(2) ) both p < 0.0001. Fracture risk increased per standard deviation decrease in femoral strength (odds ratio [OR] = 2.2, 95% confidence interval [CI] 1.8-2.8); femoral neck (FN) BMD (OR = 2.1, 95% CI 1.7-2.6); total hip BMD (OR = 1.8, 95% CI 1.5-2.1); and per SD increase in LSR (OR = 1.8, 95% CI 1.5-2.1). After adjusting for FN BMD, the odds ratio for femoral strength (OR = 1.7, 95% CI 1.2-2.4) and LSR (OR = 1.4, 95% CI 1.1-1.7) remained significantly greater than 1. The area under the curve (AUC) for LSR combined with FN BMD (AUC 0.69, 95% CI 0.64-0.73) was significantly greater than FN BMD alone (AUC 0.66, 95% CI 0.62-0.71, p = 0.004). Strength and LSR remained significant when adjusted for prevalent fragility fracture, VFA, and FRAX score. In conclusion, the DXA-based FE model was able to discriminate incident hip fracture cases from controls in this longitudinal study independently from FN BMD, prior fracture, VFA, and FRAX score. Such an approach may provide a useful tool for better assessment of bone strength to identify patients at high risk of hip fracture who may benefit from treatment to reduce fracture risk.
Copyright © 2013 American Society for Bone and Mineral Research.

Entities:  

Mesh:

Year:  2013        PMID: 23281096     DOI: 10.1002/jbmr.1856

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  19 in total

Review 1.  Clinical Evaluation of Bone Strength and Fracture Risk.

Authors:  Chantal M J de Bakker; Wei-Ju Tseng; Yihan Li; Hongbo Zhao; X Sherry Liu
Journal:  Curr Osteoporos Rep       Date:  2017-02       Impact factor: 5.096

Review 2.  Role of cortical bone in hip fracture.

Authors:  Jonathan Reeve
Journal:  Bonekey Rep       Date:  2017-01-13

3.  DXA plus measurement of bone strength predict fracture risk more accurately.

Authors: 
Journal:  Bonekey Rep       Date:  2013-02-20

Review 4.  On challenges in clinical assessment of hip fracture risk using image-based biomechanical modelling: a critical review.

Authors:  Yunhua Luo
Journal:  J Bone Miner Metab       Date:  2021-01-09       Impact factor: 2.626

5.  Automated DXA-based finite element analysis for hip fracture risk stratification: a cross-sectional study.

Authors:  S Yang; W D Leslie; Y Luo; A L Goertzen; S Ahmed; L M Ward; I Delubac; L M Lix
Journal:  Osteoporos Int       Date:  2017-10-06       Impact factor: 4.507

6.  Effect of finite element model loading condition on fracture risk assessment in men and women: the AGES-Reykjavik study.

Authors:  J H Keyak; S Sigurdsson; G S Karlsdottir; D Oskarsdottir; A Sigmarsdottir; J Kornak; T B Harris; G Sigurdsson; B Y Jonsson; K Siggeirsdottir; G Eiriksdottir; V Gudnason; T F Lang
Journal:  Bone       Date:  2013-07-29       Impact factor: 4.398

Review 7.  Use of DXA-based technology for detection and assessment of risk of vertebral fracture in rheumatology practice.

Authors:  Michael Maricic
Journal:  Curr Rheumatol Rep       Date:  2014-08       Impact factor: 4.592

8.  Fracture risk predictions based on statistical shape and density modeling of the proximal femur.

Authors:  Todd L Bredbenner; Robert L Mason; Lorena M Havill; Eric S Orwoll; Daniel P Nicolella
Journal:  J Bone Miner Res       Date:  2014-09       Impact factor: 6.741

9.  Perspectives on the non-invasive evaluation of femoral strength in the assessment of hip fracture risk.

Authors:  M L Bouxsein; P Zysset; C C Glüer; M McClung; E Biver; D D Pierroz; S L Ferrari
Journal:  Osteoporos Int       Date:  2020-01-03       Impact factor: 4.507

10.  Association of incident hip fracture with the estimated femoral strength by finite element analysis of DXA scans in the Osteoporotic Fractures in Men (MrOS) study.

Authors:  L Yang; N Parimi; E S Orwoll; D M Black; J T Schousboe; R Eastell
Journal:  Osteoporos Int       Date:  2017-11-22       Impact factor: 4.507

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