Chantal M J de Bakker1, Wei-Ju Tseng1, Yihan Li1, Hongbo Zhao1, X Sherry Liu2. 1. McKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 426C Stemmler Hall, 36th Street and Hamilton Walk, Philadelphia, PA, 19104, USA. 2. McKay Orthopaedic Research Laboratory, Department of Orthopaedic Surgery, Perelman School of Medicine, University of Pennsylvania, 426C Stemmler Hall, 36th Street and Hamilton Walk, Philadelphia, PA, 19104, USA. xiaoweil@mail.med.upenn.edu.
Abstract
PURPOSE OF REVIEW: This paper seeks to evaluate and compare recent advances in the clinical assessment of the changes in bone mechanical properties that take place as a result of osteoporosis and other metabolic bone diseases and their treatments. RECENT FINDINGS: In addition to the standard of DXA-based areal bone mineral density (aBMD), a variety of methods, including imaging-based structural measurements, finite element analysis (FEA)-based techniques, and alternate methods including ultrasound, bone biopsy, reference point indentation, and statistical shape and density modeling, have been developed which allow for reliable prediction of bone strength and fracture risk. These methods have also shown promise in the evaluation of treatment-induced changes in bone mechanical properties. Continued technological advances allowing for increasingly high-resolution imaging with low radiation dose, together with the expanding adoption of DXA-based predictions of bone structure and mechanics, as well as the increasing awareness of the importance of bone material properties in determining whole-bone mechanics, lead us to anticipate substantial future advances in this field.
PURPOSE OF REVIEW: This paper seeks to evaluate and compare recent advances in the clinical assessment of the changes in bone mechanical properties that take place as a result of osteoporosis and other metabolic bone diseases and their treatments. RECENT FINDINGS: In addition to the standard of DXA-based areal bone mineral density (aBMD), a variety of methods, including imaging-based structural measurements, finite element analysis (FEA)-based techniques, and alternate methods including ultrasound, bone biopsy, reference point indentation, and statistical shape and density modeling, have been developed which allow for reliable prediction of bone strength and fracture risk. These methods have also shown promise in the evaluation of treatment-induced changes in bone mechanical properties. Continued technological advances allowing for increasingly high-resolution imaging with low radiation dose, together with the expanding adoption of DXA-based predictions of bone structure and mechanics, as well as the increasing awareness of the importance of bone material properties in determining whole-bone mechanics, lead us to anticipate substantial future advances in this field.
Entities:
Keywords:
Bone material properties; Bone microstructure; Bone strength; Clinical imaging; Finite element analysis; Fracture; Osteoporosis
Authors: Joshua N Farr; Matthew T Drake; Shreyasee Amin; L Joseph Melton; Louise K McCready; Sundeep Khosla Journal: J Bone Miner Res Date: 2014-04 Impact factor: 6.741
Authors: Bin Zhou; Ji Wang; Y Eric Yu; Zhendong Zhang; Shashank Nawathe; Kyle K Nishiyama; Fernando Rey Rosete; Tony M Keaveny; Elizabeth Shane; X Edward Guo Journal: Bone Date: 2016-02-26 Impact factor: 4.398
Authors: Leonardo Mellibovsky; Daniel Prieto-Alhambra; Fernando Mellibovsky; Roberto Güerri-Fernández; Xavier Nogués; Connor Randall; Paul K Hansma; Adolfo Díez-Perez Journal: J Bone Miner Res Date: 2015-06-11 Impact factor: 6.741
Authors: Emily M Stein; X Sherry Liu; Thomas L Nickolas; Adi Cohen; Valerie Thomas; Donald J McMahon; Chiyuan Zhang; Perry T Yin; Felicia Cosman; Jeri Nieves; X Edward Guo; Elizabeth Shane Journal: J Bone Miner Res Date: 2010-06-18 Impact factor: 6.741
Authors: Abhijit J Chaudhari; William Y Raynor; Ali Gholamrezanezhad; Thomas J Werner; Chamith S Rajapakse; Abass Alavi Journal: PET Clin Date: 2021-01
Authors: E Biamonte; R Levi; F Carrone; W Vena; A Brunetti; M Battaglia; F Garoli; G Savini; M Riva; A Ortolina; M Tomei; G Angelotti; M E Laino; V Savevski; M Mollura; M Fornari; R Barbieri; A G Lania; M Grimaldi; L S Politi; G Mazziotti Journal: J Endocrinol Invest Date: 2022-06-25 Impact factor: 5.467