Literature DB >> 31900541

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

M L Bouxsein1, P Zysset2, C C Glüer3, M McClung4,5, E Biver6, D D Pierroz7, S L Ferrari8.   

Abstract

We reviewed the experimental and clinical evidence that hip bone strength estimated by BMD and/or finite element analysis (FEA) reflects the actual strength of the proximal femur and is associated with hip fracture risk and its changes upon treatment.
INTRODUCTION: The risk of hip fractures increases exponentially with age due to a progressive loss of bone mass, deterioration of bone structure, and increased incidence of falls. Areal bone mineral density (aBMD), measured by dual-energy X-ray absorptiometry (DXA), is the most used surrogate marker of bone strength. However, age-related declines in bone strength exceed those of aBMD, and the majority of fractures occur in those who are not identified as osteoporotic by BMD testing. With hip fracture incidence increasing worldwide, the development of accurate methods to estimate bone strength in vivo would be very useful to predict the risk of hip fracture and to monitor the effects of osteoporosis therapies.
METHODS: We reviewed experimental and clinical evidence regarding the association between aBMD and/orCT-finite element analysis (FEA) estimated femoral strength and hip fracture risk as well as their changes with treatment.
RESULTS: Femoral aBMD and bone strength estimates by CT-FEA explain a large proportion of femoral strength ex vivo and predict hip fracture risk in vivo. Changes in femoral aBMD are strongly associated with anti-fracture efficacy of osteoporosis treatments, though comparable data for FEA are currently not available.
CONCLUSIONS: Hip aBMD and estimated femoral strength are good predictors of fracture risk and could potentially be used as surrogate endpoints for fracture in clinical trials. Further improvements of FEA may be achieved by incorporating trabecular orientations, enhanced cortical modeling, effects of aging on bone tissue ductility, and multiple sideway fall loading conditions.

Entities:  

Keywords:  Bone mineral density (BMD); Bone strength; Finite element analysis (FEA); Hip fracture

Year:  2020        PMID: 31900541     DOI: 10.1007/s00198-019-05195-0

Source DB:  PubMed          Journal:  Osteoporos Int        ISSN: 0937-941X            Impact factor:   4.507


  119 in total

1.  Correlation of femoral and lumbar DXA and calcaneal ultrasound, measured in situ with intact soft tissues, with the in vitro failure loads of the proximal femur.

Authors:  E M Lochmüller; J B Zeller; D Kaiser; F Eckstein; J Landgraf; R Putz; R Steldinger
Journal:  Osteoporos Int       Date:  1998       Impact factor: 4.507

2.  An anatomical subject-specific FE-model for hip fracture load prediction.

Authors:  L Duchemin; D Mitton; E Jolivet; V Bousson; J D Laredo; W Skalli
Journal:  Comput Methods Biomech Biomed Engin       Date:  2008-04       Impact factor: 1.763

3.  Cortical and trabecular bone in the femoral neck both contribute to proximal femur failure load prediction.

Authors:  S L Manske; T Liu-Ambrose; D M L Cooper; S Kontulainen; P Guy; B B Forster; H A McKay
Journal:  Osteoporos Int       Date:  2008-07-26       Impact factor: 4.507

4.  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

5.  An estimate of the worldwide prevalence and disability associated with osteoporotic fractures.

Authors:  O Johnell; J A Kanis
Journal:  Osteoporos Int       Date:  2006-09-16       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

7.  Predicting femoral neck strength from bone mineral data. A structural approach.

Authors:  T J Beck; C B Ruff; K E Warden; W W Scott; G U Rao
Journal:  Invest Radiol       Date:  1990-01       Impact factor: 6.016

Review 8.  Perspective. How many women have osteoporosis?

Authors:  L J Melton; E A Chrischilles; C Cooper; A W Lane; B L Riggs
Journal:  J Bone Miner Res       Date:  1992-09       Impact factor: 6.741

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

Authors:  Kim E Naylor; Eugene V McCloskey; Richard Eastell; Lang Yang
Journal:  J Bone Miner Res       Date:  2013-05       Impact factor: 6.741

10.  Prediction of incident hip fracture with the estimated femoral strength by finite element analysis of DXA Scans in the study of osteoporotic fractures.

Authors:  Lang Yang; Lisa Palermo; Dennis M Black; Richard Eastell
Journal:  J Bone Miner Res       Date:  2014-12       Impact factor: 6.741

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  7 in total

Review 1.  Dual-energy X-ray absorptiometry bone densitometry in pediatrics: a practical review and update.

Authors:  Hedieh Khalatbari; Larry A Binkovitz; Marguerite T Parisi
Journal:  Pediatr Radiol       Date:  2020-08-28

Review 2.  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

3.  Hip load capacity and yield load in men and women of all ages.

Authors:  J H Keyak; T S Kaneko; S Khosla; S Amin; E J Atkinson; T F Lang; J D Sibonga
Journal:  Bone       Date:  2020-03-14       Impact factor: 4.398

4.  The risk factors of postoperative delirium in patients with hip fracture: implication for clinical management.

Authors:  Weifang Xu; Haiping Ma; Wang Li; Chen Zhang
Journal:  BMC Musculoskelet Disord       Date:  2021-03-07       Impact factor: 2.362

Review 5.  Bringing Mechanical Context to Image-Based Measurements of Bone Integrity.

Authors:  Lindsay L Loundagain; Todd L Bredbenner; Karl J Jepsen; W Brent Edwards
Journal:  Curr Osteoporos Rep       Date:  2021-07-16       Impact factor: 5.096

6.  Improving the Hip Fracture Risk Prediction with a Statistical Shape-and-Intensity Model of the Proximal Femur.

Authors:  Alessandra Aldieri; Pinaki Bhattacharya; Margaret Paggiosi; Richard Eastell; Alberto Luigi Audenino; Cristina Bignardi; Umberto Morbiducci; Mara Terzini
Journal:  Ann Biomed Eng       Date:  2022-01-19       Impact factor: 3.934

Review 7.  Biomechanical Computed Tomography analysis (BCT) for clinical assessment of osteoporosis.

Authors:  T M Keaveny; B L Clarke; F Cosman; E S Orwoll; E S Siris; S Khosla; M L Bouxsein
Journal:  Osteoporos Int       Date:  2020-04-26       Impact factor: 5.071

  7 in total

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