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23097679
PMC3477762
Computational and mathematical methods in medicine
Jan. 1, 2012
Department of Orthopaedics and Rehabilitation, The University of Iowa, Iowa City, IA 52242-1088, USA.
Automation, Knee, Tibia, Finite Element Analysis, Stress, Mechanical, Magnetic Resonance Imaging, Algorithms, Osteoarthritis, Knee, Weight-Bearing, Knee Joint, Biomechanical Phenomena, Femur, Reproducibility of Results, Middle Aged, Humans, Cohort Studies, Aged
U01AG19069, U01AG18820, U01AG18832, P50AR055533, P50 AR055533, U01AG18947, K23 AG030945, K23AG030945, U01 AG019069, U01 AG018832, U01 AG018820, U01 AG018947
Nevitt MC, Lynch JA, Segal NA, Torner JC, Anderson DD, Kern AM
Anderson DD, Segal NA, Kern AM, Nevitt MC, Torner JC, Lynch JA. Reliability of semiautomated computational methods for estimating tibiofemoral contact stress in the Multicenter Osteoarthritis Study. Computational and mathematical methods in medicine 2012.

Abstract

Recent findings suggest that contact stress is a potent predictor of subsequent symptomatic osteoarthritis development in the knee. However, much larger numbers of knees (likely on the order of hundreds, if not thousands) need to be reliably analyzed to achieve the statistical power necessary to clarify this relationship. This study assessed the reliability of new semiautomated computational methods for estimating contact stress in knees from large population-based cohorts. Ten knees of subjects from the Multicenter Osteoarthritis Study were included. Bone surfaces were manually segmented from sequential 1.0 Tesla magnetic resonance imaging slices by three individuals on two nonconsecutive days. Four individuals then registered the resulting bone surfaces to corresponding bone edges on weight-bearing radiographs, using a semi-automated algorithm. Discrete element analysis methods were used to estimate contact stress distributions for each knee. Segmentation and registration reliabilities (day-to-day and interrater) for peak and mean medial and lateral tibiofemoral contact stress were assessed with Shrout-Fleiss intraclass correlation coefficients (ICCs). The segmentation and registration steps of the modeling approach were found to have excellent day-to-day (ICC 0.93-0.99) and good inter-rater reliability (0.84-0.97). This approach for estimating compartment-specific tibiofemoral contact stress appears to be sufficiently reliable for use in large population-based cohorts.