Literature DB >> 24677244

Cortical bone assessed with clinical computed tomography at the proximal femur.

Fjola Johannesdottir, Tom Turmezei, Kenneth E S Poole.   

Abstract

Hip fractures are the most serious of all fragility fractures in older people of both sexes. Trips, stumbles, and falls result in fractures of the femoral neck or trochanter, and the incidence of these two common fractures is increasing worldwide as populations age. Although clinical risk factors and chance are important in causation, the ability of a femur to resist fracture also depends on the size and spatial distribution of the bone, its intrinsic material properties, and the loads applied. Over the past two decades, clinical quantitative computed tomography (QCT) studies of living volunteers have provided insight into how the femur changes with advancing age to leave older men and women at increased risk of hip fractures. In this review, we focus on patterns of cortical bone loss associated with hip fracture, age-related changes in cortical bone, and the effects of drugs used to treat osteoporosis. There are several methodologies available to measure cortical bone in vivo using QCT. Most techniques quantify bone density (g/cm(3)), mass (g), and thickness (mm) in selected, predefined or “traditional” regions of interest such as the “femoral neck” or “total hip” region. A recent alternative approach termed “computational anatomy,” uses parametric methods to identify systematic differences, before displaying statistically significant regions as color-scaled maps of density, mass, or thickness on or within a representative femur model. This review will highlight discoveries made using both traditional and computational anatomy methods, focusing on cortical bone of the proximal femur.

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Year:  2014        PMID: 24677244     DOI: 10.1002/jbmr.2199

Source DB:  PubMed          Journal:  J Bone Miner Res        ISSN: 0884-0431            Impact factor:   6.741


  15 in total

1.  Sex-related variations in cortical and trabecular bone of the femoral neck in an elderly Chinese population.

Authors:  L Wang; X G Cheng; Y B Su; K Brown; L Xu; K Li; C X Zhang; Y Zhang; Y Y Duanmu; X B Wu; M Y Wang
Journal:  Osteoporos Int       Date:  2017-04-12       Impact factor: 4.507

Review 2.  Micro-Finite Element Analysis of the Proximal Femur on the Basis of High-Resolution Magnetic Resonance Images.

Authors:  Chamith S Rajapakse; Gregory Chang
Journal:  Curr Osteoporos Rep       Date:  2018-12       Impact factor: 5.096

3.  A Novel MRI Tool for Evaluating Cortical Bone Thickness of the Proximal Femur.

Authors:  Austin J Ramme; Shaleen Vira; Alexandra Hotca; Rhiannon Miller; Arakua Welbeck; Stephen Honig; Kenneth A Egol; Chamith S Rajapakse; Gregory Chang
Journal:  Bull Hosp Jt Dis (2013)       Date:  2019-03

4.  Hip Fracture Discrimination Based on Statistical Multi-parametric Modeling (SMPM).

Authors:  Julio Carballido-Gamio; Aihong Yu; Ling Wang; Yongbin Su; Andrew J Burghardt; Thomas F Lang; Xiaoguang Cheng
Journal:  Ann Biomed Eng       Date:  2019-05-31       Impact factor: 3.934

5.  Spatial distribution of hip cortical thickness in postmenopausal women with different osteoporotic fractures.

Authors:  Ming Ling; Xianlong Li; Yueyang Xu; Yongqian Fan
Journal:  Arch Osteoporos       Date:  2021-11-15       Impact factor: 2.617

6.  The combined effects of age and HIV on the anatomic distribution of cortical and cancellous bone in the femoral neck among men and women.

Authors:  Alison G Abraham; Jing Sun; Anjali Sharma; Michael T Yin; J Keenan Brown; Shadpour Demehri; Joshua Garza; Jayesh G Shah; Frank J Palella; Lawrence Kingsley; Beth D Jamieson; Keri N Althoff; Todd T Brown
Journal:  AIDS       Date:  2021-12-01       Impact factor: 4.632

7.  Automated cortical bone segmentation for multirow-detector CT imaging with validation and application to human studies.

Authors:  Cheng Li; Dakai Jin; Cheng Chen; Elena M Letuchy; Kathleen F Janz; Trudy L Burns; James C Torner; Steven M Levy; Punam K Saha
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

Review 8.  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

Review 9.  Osteoporotic Fracture: 2015 Position Statement of the Korean Society for Bone and Mineral Research.

Authors:  Je-Hyun Yoo; Seong-Hwan Moon; Yong-Chan Ha; Dong Yeon Lee; Hyun Sik Gong; Si Young Park; Kyu Hyun Yang
Journal:  J Bone Metab       Date:  2015-11-30

10.  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
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