Implementation of discrete element analysis for subject-specific, population-wide investigations of habitual contact stress exposure.
There exist no large-series human data linking contact stress exposure to an articular joint's propensity for developing osteoarthritis because contact stress analysis for large numbers of subjects remains impractical. The speed and simplicity of discrete element analysis (DEA) for estimating contact stresses makes its application to this problem highly attractive, but to date DEA has been used to study only a small numbers of cases. This is because substantial issues regarding its use in population-wide studies have not been addressed. Chief among them are developing fast and robust methods for model derivation and the selection of boundary conditions, establishing accuracy of computed contact stresses, and including capabilities for modeling in-series structural elements (e.g., a meniscus). This article describes an implementation of DEA that makes it feasible to perform subject-specific modeling in articular joints in large population-based studies.
Anderson
Donald D
DD
Orthopaedic Biomechanics Laboratory, Department of Orthopaedics & Rehabilitation, as well as the Department of Biomedical Engineering, University of Iowa, Iowa City, IA, USA.
Iyer
Krishna S
KS
Segal
Neil A
NA
Lynch
John A
JA
Brown
Thomas D
TD
D002358:Cartilage, Articular / Q000503:physiopathology*; D003198:Computer Simulation; D012090:Cumulative Trauma Disorders / Q000150:complications* / Q000503:physiopathology*; D055119:Elastic Modulus; D020342:Finite Element Analysis; D006801:Humans; D007596:Joints / Q000503:physiopathology*; D008954:Models, Biological; D010003:Osteoarthritis / Q000209:etiology* / Q000503:physiopathology*; D011157:Population Dynamics; D013314:Stress, Mechanical