Literature DB >> 25489572

Assessing bone quality in terms of bone mineral density, buckling ratio and critical fracture load.

D Anitha1, Taeyong Lee2.   

Abstract

BACKGROUND: Bone mineral density (BMD) is used as a sole parameter in the diagnosis of osteoporosis. Due to the ease of acquirement of BMD, clinical diagnosis still involves its usage although the limitations of BMD are quite well-established. Therefore, this preliminary study hoped to reduce the errors introduced by BMD alone by incorporating geometric and structural predictors simultaneously to observe if strength was implicitly dependent on the geometry and BMD. Hence, we illustrated the triadic relationship between BMD, buckling ratio (BR) and critical fracture load (Fcr). <br> METHODS: The geometric predictor was the BR as it involves both the changes in the periosteum and the cortical thickness. Also, structural changes were monitored by finite element (FE) analysis-predicted Fcr. These BR and Fcr measurements were plotted with their respective femoral neck BMD values in elderly female patients (n=6) in a 3-year follow-up study, treated with ibandronate. <br> RESULTS: In all the three-dimensional plots (baseline, mid and final year), high Fcr values were found at regions containing high BMD and low BR values. Quantitatively, this was also proven where an averaged highest Fcr across the three years had a relatively higher BMD (46%) and lower BR (19%) than that of the averaged lowest Fcr. The dependence of FE predicted strength on both the geometry and bone density was illustrated. <br> CONCLUSIONS: We conclude that use of triadic relationships for the evaluation of osteoporosis and hip fractures with the combination of strength, radiology-derived BR and bone density will lay the foundation for more accurate predictions in the future.

Entities:  

Keywords:  Bone density; Femur neck; Finite element analysis; Osteoporotic fractures

Year:  2014        PMID: 25489572      PMCID: PMC4255044          DOI: 10.11005/jbm.2014.21.4.243

Source DB:  PubMed          Journal:  J Bone Metab        ISSN: 2287-6375


  15 in total

Review 1.  Mechanical testing of bones: the positive synergy of finite-element models and in vitro experiments.

Authors:  Luca Cristofolini; Enrico Schileo; Mateusz Juszczyk; Fulvia Taddei; Saulo Martelli; Marco Viceconti
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2010-06-13       Impact factor: 4.226

2.  Change in hip bone mineral density and risk of subsequent fractures in older men.

Authors:  Peggy M Cawthon; Susan K Ewing; Dawn C Mackey; Howard A Fink; Steven R Cummings; Kristine E Ensrud; Marcia L Stefanick; Doug C Bauer; Jane A Cauley; Eric S Orwoll
Journal:  J Bone Miner Res       Date:  2012-10       Impact factor: 6.741

Review 3.  Determinants of skeletal fragility.

Authors:  Mary L Bouxsein
Journal:  Best Pract Res Clin Rheumatol       Date:  2005-12       Impact factor: 4.098

4.  Can Hip Fracture Prediction in Women be Estimated beyond Bone Mineral Density Measurement Alone?

Authors:  Piet Geusens; Tineke van Geel; Joop van den Bergh
Journal:  Ther Adv Musculoskelet Dis       Date:  2010-04       Impact factor: 5.346

5.  Improved prediction of proximal femoral fracture load using nonlinear finite element models.

Authors:  J H Keyak
Journal:  Med Eng Phys       Date:  2001-04       Impact factor: 2.242

6.  The diagnosis of osteoporosis.

Authors:  J A Kanis; L J Melton; C Christiansen; C C Johnston; N Khaltaev
Journal:  J Bone Miner Res       Date:  1994-08       Impact factor: 6.741

7.  Effects of age and sex on the strength and cortical thickness of the femoral neck.

Authors:  R D Carpenter; S Sigurdsson; S Zhao; Y Lu; G Eiriksdottir; G Sigurdsson; B Y Jonsson; S Prevrhal; T B Harris; K Siggeirsdottir; V Guðnason; T F Lang
Journal:  Bone       Date:  2010-12-17       Impact factor: 4.398

8.  Prediction of strength and strain of the proximal femur by a CT-based finite element method.

Authors:  Masahiko Bessho; Isao Ohnishi; Juntaro Matsuyama; Takuya Matsumoto; Kazuhiro Imai; Kozo Nakamura
Journal:  J Biomech       Date:  2006-10-10       Impact factor: 2.712

9.  Fracture prediction for the proximal femur using finite element models: Part I--Linear analysis.

Authors:  J C Lotz; E J Cheal; W C Hayes
Journal:  J Biomech Eng       Date:  1991-11       Impact factor: 2.097

Review 10.  Hip fractures: a worldwide problem today and tomorrow.

Authors:  L J Melton
Journal:  Bone       Date:  1993       Impact factor: 4.398

View more
  5 in total

Review 1.  The progress in quantitative evaluation of callus during distraction osteogenesis.

Authors:  Qi Liu; Ze Liu; Hongbin Guo; Jieyu Liang; Yi Zhang
Journal:  BMC Musculoskelet Disord       Date:  2022-05-24       Impact factor: 2.562

2.  The trend of radiological severity of hip fractures over a 30 years period: a cohort study.

Authors:  Mehdy Farhang; Sebastian Mukka; Ulrica Bergström; Olle Svensson; Arkan S Sayed-Noor
Journal:  BMC Musculoskelet Disord       Date:  2019-08-07       Impact factor: 2.362

3.  Sarcopenia negatively affects hip structure analysis variables in a group of Lebanese postmenopausal women.

Authors:  Hayman Saddik; Riad Nasr; Antonio Pinti; Eric Watelain; Ibrahim Fayad; Rafic Baddoura; Abdel-Jalil Berro; Nathalie Al Rassy; Eric Lespessailles; Hechmi Toumi; Rawad El Hage
Journal:  BMC Bioinformatics       Date:  2020-03-11       Impact factor: 3.169

4.  Physical Activity and Bone Health in Men: A Systematic Review and Meta-Analysis.

Authors:  Maureen C Ashe; Isis Kelly Dos Santos; Nicola Y Edward; Laura A Burnett; Rosanne Barnes; Lena Fleig; Joseph H Puyat; Joanna E M Sale; Heather A McKay; Lora M Giangregorio
Journal:  J Bone Metab       Date:  2021-02-28

5.  Triglyceride Glucose-Body Mass Index Is a Reliable Indicator of Bone Mineral Density and Risk of Osteoporotic Fracture in Middle-Aged and Elderly Nondiabetic Chinese Individuals.

Authors:  Zhangxin Wen; Yongfang Li; Lulu Xu; Chun Yue; Qinyi Wang; Rong Chen; Na Ding; Xiaoli Qu; Yangna Ou; Yanyi Yang; Zhifeng Sheng; Hong Liu
Journal:  J Clin Med       Date:  2022-09-26       Impact factor: 4.964

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.