Literature DB >> 25014885

Multiple loading conditions analysis can improve the association between finite element bone strength estimates and proximal femur fractures: a preliminary study in elderly women.

Cristina Falcinelli1, Enrico Schileo2, Luca Balistreri3, Fabio Baruffaldi3, Barbara Bordini3, Marco Viceconti4, Ugo Albisinni5, Francesco Ceccarelli6, Luigi Milandri7, Aldo Toni8, Fulvia Taddei3.   

Abstract

This is a preliminary case-control study on osteopenic/osteoporotic elderly women, testing the association of proximal femur fracture with minimum femoral strength, as derived from finite element (FE) analysis in multiple loading conditions. Fracture cases (n=22) in acute conditions were enrolled among low-trauma fractures admitted in various hospitals in the Emilia Romagna Region, Italy. Women with no history of low-trauma fractures were enrolled as controls (n=33). Patients were imaged with DXA to obtain aBMD, and with a bilateral full femur CT scan. FE-strength was derived in stance and fall configurations: (i) as the minimum strength among those obtained for multiple loading conditions spanning a domain of plausible force directions, and (ii) as the strength associated to the most commonly used single loading conditions. The association of FE-strength and aBMD with fractures was tested with logistic regression models, deriving odds ratios (ORs) and area under the receiver operating characteristic curve (AUC). FE-strength from multiple loading conditions better classified fracture cases from controls (OR per SD change=9.6, 95% CI=3.0-31.3, AUC=0.87 in stance; OR=9.5, 95% CI=2.9-31.2, AUC=0.88 in fall) compared to aBMD (OR=3.6, 95% CI=1.6-8.2, AUC=0.79 for total femur aBMD), while FE-strength results from the most commonly used single loading conditions were similar to aBMD. Only FE-strength from multiple loading conditions remained significant in age- and aBMD-adjusted models (OR=10.5, 95% CI=1.8-61.3, AUC=0.95). In summary, we highlighted the importance of considering different loading conditions to identify bone weakness, and confirmed that femoral FE-strength estimates may add value to aBMD predictions in elderly osteopenic/osteoporotic women.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biomechanics; Bone strength; Case–control study; Finite-element analysis; Osteoporosis; Proximal femur fracture

Mesh:

Year:  2014        PMID: 25014885     DOI: 10.1016/j.bone.2014.06.038

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  19 in total

1.  Interactive graph-cut segmentation for fast creation of finite element models from clinical ct data for hip fracture prediction.

Authors:  Yves Pauchard; Thomas Fitze; Diego Browarnik; Amiraslan Eskandari; Irene Pauchard; William Enns-Bray; Halldór Pálsson; Sigurdur Sigurdsson; Stephen J Ferguson; Tamara B Harris; Vilmundur Gudnason; Benedikt Helgason
Journal:  Comput Methods Biomech Biomed Engin       Date:  2016-05-10       Impact factor: 1.763

Review 2.  Finite Element-Based Mechanical Assessment of Bone Quality on the Basis of In Vivo Images.

Authors:  Dieter H Pahr; Philippe K Zysset
Journal:  Curr Osteoporos Rep       Date:  2016-12       Impact factor: 5.096

Review 3.  Patient-Specific Bone Multiscale Modelling, Fracture Simulation and Risk Analysis-A Survey.

Authors:  Amadeus C S de Alcântara; Israel Assis; Daniel Prada; Konrad Mehle; Stefan Schwan; Lucia Costa-Paiva; Munir S Skaf; Luiz C Wrobel; Paulo Sollero
Journal:  Materials (Basel)       Date:  2019-12-24       Impact factor: 3.623

4.  Fixation of a split fracture of the lateral tibial plateau with a locking screw plate instead of cannulated screws would allow early weight bearing: a computational exploration.

Authors:  Ion Carrera; Pablo Eduardo Gelber; Gaetan Chary; Miguel A González-Ballester; Juan Carlos Monllau; Jerome Noailly
Journal:  Int Orthop       Date:  2016-01-16       Impact factor: 3.075

5.  Osteoporosis and Hip Fracture Risk From Routine Computed Tomography Scans: The Fracture, Osteoporosis, and CT Utilization Study (FOCUS).

Authors:  Annette L Adams; Heidi Fischer; David L Kopperdahl; David C Lee; Dennis M Black; Mary L Bouxsein; Shireen Fatemi; Sundeep Khosla; Eric S Orwoll; Ethel S Siris; Tony M Keaveny
Journal:  J Bone Miner Res       Date:  2018-04-17       Impact factor: 6.741

6.  A systematic approach to the scale separation problem in the development of multiscale models.

Authors:  Pinaki Bhattacharya; Qiao Li; Damien Lacroix; Visakan Kadirkamanathan; Marco Viceconti
Journal:  PLoS One       Date:  2021-05-18       Impact factor: 3.240

7.  Left-right differences in the proximal femur's strength of post-menopausal women: a multicentric finite element study.

Authors:  F Taddei; C Falcinelli; L Balistreri; P Henys; F Baruffaldi; S Sigurdsson; V Gudnason; T B Harris; R Dietzel; G Armbrecht; S Boutroy; E Schileo
Journal:  Osteoporos Int       Date:  2015-11-17       Impact factor: 4.507

8.  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

9.  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

Review 10.  Fracture Prediction by Computed Tomography and Finite Element Analysis: Current and Future Perspectives.

Authors:  Fjola Johannesdottir; Brett Allaire; Mary L Bouxsein
Journal:  Curr Osteoporos Rep       Date:  2018-08       Impact factor: 5.096

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