Development of a validated glenoid trabecular density-modulus relationship

Knowles, Nikolas K.; Langohr, G. Daniel G.; Faieghi, Mohammadreza; Nelson, Andrew; Ferreira, Louis M.

Affiliations

¹School of Biomedical Engineering, The University of Western Ontario, London, ON, Canada

²Roth McFarlane Hand and Upper Limb Centre, St. Josephs Health Care, London, ON, Canada

³Collaborative Training Program in MSK Health Research, and Bone and Joint Institute, The University of Western Ontario, London, ON, Canada

⁴Department of Mechanical and Materials Engineering, The University of Western Ontario, London, ON, Canada

⁵Department of Anthropology and Chemistry, The University of Western Ontario, London, ON, Canada

Abstract and keywords

Incorporating subject-specific mechanical properties derived from clinical-resolution computed tomography data increases the accuracy of finite element models. Site-specific relationships between density and modulus are required due to variations in trabecular architecture and tissue density by anatomic location. Equations have been developed for many anatomic locations and have been shown to have excellent statistical agreement with empirical results; however, a shoulder-specific density-modulus relationship does not currently exist. This study used micro-finite element cores of glenoid trabecular bone and co-registered quantitative computed tomography finite element models to develop a validated glenoid trabecular density-modulus relationship. Micro finite element model tissue density was considered as either homogeneous or heterogeneous, scaled by CT-intensity. When heterogeneous tissue density was considered, near absolute statistical agreement was predicted in the co-registered QCT-derived finite element models. The validated relationships have also been adapted for use in whole bone scapular models and have the potential to dramatically increase the accuracy of clinical-resolution CT-derived shoulder finite element studies.

Keywords: Density-modulus; Micro computed tomography; Quantitative computed tomography; Glenoid; Finite element modeling; Trabecular bone

Links

DOI: 10.1016/j.jmbbm.2018.10.013

PubMed: 30366304

WoS: 000457510500016

History

Received: 2018-01-09

Revised: 2018-08-16

Accepted: 2018-10-04

Online: 2018-10-12

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Cited By (6)

Year	Entry
2019	Knowles NK, Kusins J, Faieghi M, Ryan M, Dall’Ara E, Ferreira LM. Material mapping of QCT-derived scapular models: a comparison with micro-CT loaded specimens using digital volume correlation. Ann Biomed Eng. November 2019;47(11):2188-2198.
2019	Kusins J, Knowles N, Ryan M, Dall’Ara E, Ferreira L. Performance of QCT-derived scapula finite element models in predicting local displacements using digital volume correlation. J Mech Behav Biomed Mater. September 2019;97:339-345.
2020	Knowles NK, Kusins J, Columbus MP, Athwal GS, Ferreira LM. Morphological and apparent‐level stiffness variations between normal and osteoarthritic bone in the humeral head. J Orthop Res. March 2020;38(3):503-509.
2023	Eghbali P, Becce F, Goetti P, Vauclair F, Farron A, Büchler P, Pioletti D, Terrier A. Age- and sex-specific normative values of bone mineral density in the adult glenoid. J Orthop Res. February 2023;41(2):263-270.
2019	Knowles NK. Improving Material Mapping in Glenohumeral Finite Element Models: A Multi-Level Evaluation [PhD thesis]. University of Western Ontario; 2019.
2021	Kusins J. A Multi-Level Mechanical Assessment of the Shoulder Coupled With Evaluation of Upper Extremity Predictive Finite Element Models [PhD thesis]. University of Western Ontario; 2021.