Literature DB >> 22320058

A preliminary dual-energy X-ray absorptiometry-based finite element model for assessing osteoporotic hip fracture risk.

Y Luo1, Z Ferdous, W D Leslie.   

Abstract

To more accurately assess osteoporotic hip fracture risk in a specific patient, a dual-energy X-ray absorptiometry (DXA)-based finite element model was constructed from the patient's femur DXA image. The outermost contour of the femur bone segmented from the DXA image was used to generate a finite element mesh. Bone mechanical properties, such as Young's modulus, are correlated with areal bone mineral density (BMD) captured in the DXA image. A quasi-static loading condition representing a sideway fall was applied to the finite element model. Three fracture risk indices were introduced and expressed as ratios of internal forces caused by impact forces occurring in sideway fall to bone ultimate cross-section strength at the three critical locations, i.e. the femoral neck, the intertrochanteric region, and the subtrochanteric region. The proposed finite element modelling procedure was validated against six representative clinical cases extracted from the Manitoba BMD database, where initial and follow-up DXA images have been taken to monitor longitudinal variation of areal BMD in individual patients. It was found from the clinical validation that variations in the proposed fracture risk indices have the same trends as those indicated by the conventional areal BMD and T-score. In addition, by the three proposed fracture risk indices it is possible to further identify the specific fracture location. It was also found that for the same subject, the variations in the three fracture risk indices have quite different magnitudes, with intertrochanteric region the largest and subtrochanteric region the smallest, which is probably owing to the different content of trabecular and cortical bones in the three regions. With further development, it is promising that the proposed DXA-based finite element model will be a useful tool for accurate assessment of osteoporosis development and for treatment monitoring.

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Year:  2011        PMID: 22320058     DOI: 10.1177/0954411911424975

Source DB:  PubMed          Journal:  Proc Inst Mech Eng H        ISSN: 0954-4119            Impact factor:   1.617


  7 in total

1.  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

Review 2.  A biomechanical sorting of clinical risk factors affecting osteoporotic hip fracture.

Authors:  Y Luo
Journal:  Osteoporos Int       Date:  2015-09-11       Impact factor: 4.507

3.  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

4.  Study of the significance of parameters and their interaction on assessing femoral fracture risk by quantitative statistical analysis.

Authors:  Rabina Awal; Jalel Ben Hmida; Yunhua Luo; Tanvir Faisal
Journal:  Med Biol Eng Comput       Date:  2022-02-04       Impact factor: 2.602

5.  Study of DXA-derived lateral-medial cortical bone thickness in assessing hip fracture risk.

Authors:  Yujia Long; William D Leslie; Yunhua Luo
Journal:  Bone Rep       Date:  2015-04-08

6.  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

7.  Assessment of Hip Fracture Risk Using Cross-Section Strain Energy Determined by QCT-Based Finite Element Modeling.

Authors:  Hossein Kheirollahi; Yunhua Luo
Journal:  Biomed Res Int       Date:  2015-10-25       Impact factor: 3.411

  7 in total

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