Literature DB >> 29038836

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

S Yang1,2,3, W D Leslie4,5,6, Y Luo7, A L Goertzen8, S Ahmed7, L M Ward9, I Delubac8,10, L M Lix2.   

Abstract

Fracture risk indices (FRIs) generated from DXA-based finite element analysis were associated with hip fracture independent of FRAX score computed with femoral neck bone mineral density (BMD). Prospective studies are warranted to determine whether FRIs represent an improvement over BMD for predicting incident hip fractures.
INTRODUCTION: The study aims to examine the association between prior hip fracture and FRIs derived from automated finite element analysis (FEA) of DXA hip scans. Femoral neck, intertrochanteric, and subtrochanteric FRIs were calculated as the von Mises stress induced by a sideways fall divided by the bone yield stress over the specified region of interest (ROI).
METHODS: Using the Manitoba Bone Mineral Density Database, we selected women age ≥ 65 years with femoral neck T-scores below - 1 and no osteoporosis treatment. From this population, we identified 324 older women with hip fracture before DXA testing and a random sample of 658 non-fracture controls. FRIs were derived from the anonymized DXA scans. Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CIs) for the associations between FRIs (per SD increase) and hip fracture.
RESULTS: After adjusting for FRAX score (hip fracture with BMD), femoral neck FRI (OR 1.36, 95% CI 1.13, 1.64), intertrochanteric FRI (OR 1.81, 95% CI 1.44, 2.27), and subtrochanteric FRI (OR 2.09, 95% CI 1.68, 2.60) were associated with hip fracture. Intertrochanteric and subtrochanteric FRIs gave significantly higher c-statistics (all P ≤ 0.05) than femoral neck BMD. Subgroup analyses showed that all FRIs were more strongly associated with hip fracture in women who were younger and had higher body mass index (BMI) or non-osteoporotic BMD (all P interaction < 0.1).
CONCLUSIONS: FRIs derived from DXA-based FEA were independently associated with prior hip fracture, suggesting that they could potentially improve hip fracture risk assessment.

Entities:  

Keywords:  Dual-energy X-ray absorptiometry; FRAX; Finite element analysis; Fracture risk; Hip fracture; Osteoporosis

Mesh:

Year:  2017        PMID: 29038836     DOI: 10.1007/s00198-017-4232-8

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


  41 in total

Review 1.  FRAX and its applications to clinical practice.

Authors:  John A Kanis; Anders Oden; Helena Johansson; Fredrik Borgström; Oskar Ström; Eugene McCloskey
Journal:  Bone       Date:  2009-02-03       Impact factor: 4.398

2.  Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal:  Stat Med       Date:  2010-11-05       Impact factor: 2.373

3.  Incidence and economic burden of osteoporosis-related fractures in the United States, 2005-2025.

Authors:  Russel Burge; Bess Dawson-Hughes; Daniel H Solomon; John B Wong; Alison King; Anna Tosteson
Journal:  J Bone Miner Res       Date:  2007-03       Impact factor: 6.741

4.  Dynamic models for sideways falls from standing height.

Authors:  A J van den Kroonenberg; W C Hayes; T A McMahon
Journal:  J Biomech Eng       Date:  1995-08       Impact factor: 2.097

5.  Fracture prediction and calibration of a Canadian FRAX® tool: a population-based report from CaMos.

Authors:  L-A Fraser; L Langsetmo; C Berger; G Ioannidis; D Goltzman; J D Adachi; A Papaioannou; R Josse; C S Kovacs; W P Olszynski; T Towheed; D A Hanley; S M Kaiser; J Prior; S Jamal; N Kreiger; J P Brown; H Johansson; A Oden; E McCloskey; J A Kanis; W D Leslie
Journal:  Osteoporos Int       Date:  2010-12-16       Impact factor: 4.507

6.  Use of administrative data for national surveillance of osteoporosis and related fractures in Canada: results from a feasibility study.

Authors:  S O'Donnell
Journal:  Arch Osteoporos       Date:  2013-06-06       Impact factor: 2.617

7.  Loss of bone density and lean body mass after hip fracture.

Authors:  K M Fox; J Magaziner; W G Hawkes; J Yu-Yahiro; J R Hebel; S I Zimmerman; L Holder; R Michael
Journal:  Osteoporos Int       Date:  2000       Impact factor: 4.507

8.  Quantitative computed tomography-based finite element analysis predictions of femoral strength and stiffness depend on computed tomography settings.

Authors:  Dan Dragomir-Daescu; Christina Salas; Susheil Uthamaraj; Timothy Rossman
Journal:  J Biomech       Date:  2014-09-28       Impact factor: 2.712

9.  In vivo assessment of trabecular bone structure using fractal analysis of distal radius radiographs.

Authors:  S Majumdar; T M Link; J Millard; J C Lin; P Augat; D Newitt; N Lane; H K Genant
Journal:  Med Phys       Date:  2000-11       Impact factor: 4.071

10.  Development of prognostic nomograms for individualizing 5-year and 10-year fracture risks.

Authors:  N D Nguyen; S A Frost; J R Center; J A Eisman; T V Nguyen
Journal:  Osteoporos Int       Date:  2008-03-07       Impact factor: 4.507

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  9 in total

1.  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

2.  Lean mass and lower limb muscle function in relation to hip strength, geometry and fracture risk indices in community-dwelling older women.

Authors:  A Elhakeem; A Hartley; Y Luo; A L Goertzen; K Hannam; E M Clark; W D Leslie; J H Tobias
Journal:  Osteoporos Int       Date:  2018-12-14       Impact factor: 4.507

3.  Radiofrequency echographic multi-spectrometry for the in-vivo assessment of bone strength: state of the art-outcomes of an expert consensus meeting organized by the European Society for Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases (ESCEO).

Authors:  Nasser Al-Daghri; Jaime C Branco; Olivier Bruyère; Loredana Cavalli; Cyrus Cooper; Bernard Cortet; Bess Dawson-Hughes; Hans Peter Dimai; Stefano Gonnelli; Peyman Hadji; Philippe Halbout; Jean-Marc Kaufman; Andreas Kurth; Medea Locquet; Stefania Maggi; Radmila Matijevic; Jean-Yves Reginster; René Rizzoli; Thomas Thierry; Adolfo Diez-Perez; Maria Luisa Brandi
Journal:  Aging Clin Exp Res       Date:  2019-08-17       Impact factor: 3.636

4.  A new finite element based parameter to predict bone fracture.

Authors:  Chiara Colombo; Flavia Libonati; Luca Rinaudo; Martina Bellazzi; Fabio Massimo Ulivieri; Laura Vergani
Journal:  PLoS One       Date:  2019-12-05       Impact factor: 3.240

5.  Lower Serum Irisin Levels Are Associated with Increased Osteoporosis and Oxidative Stress in Postmenopausal.

Authors:  Ali Badr Roomi; Wassan Nori; Roaa Mokram Hamed
Journal:  Rep Biochem Mol Biol       Date:  2021-04

6.  Change in vertebral strength and bone mineral density in men and women over the year post-hip fracture: a subgroup analysis.

Authors:  Denise L Orwig; David Kopperdahl; Tony Keaveny; Jay Magaziner; Marc Hochberg
Journal:  Arch Osteoporos       Date:  2021-02-22       Impact factor: 2.617

7.  Effects of Hip Structure Analysis Variables on Hip Fracture: A Propensity Score Matching Study.

Authors:  Yong-Chan Ha; Jun-Il Yoo; Jeongkyun Yoo; Ki Soo Park
Journal:  J Clin Med       Date:  2019-09-20       Impact factor: 4.241

Review 8.  Current Applications and Selected Technical Details of Dual-Energy X-Ray Absorptiometry.

Authors:  Piotr Sawicki; Marek Tałałaj; Katarzyna Życińska; Wojciech S Zgliczyński; Waldemar Wierzba
Journal:  Med Sci Monit       Date:  2021-06-16

Review 9.  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

  9 in total

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