Reliability of semiautomated computational methods for estimating tibiofemoral contact stress in the Multicenter Osteoarthritis Study

Donald D Anderson; Neil A Segal; Andrew M Kern; Michael C Nevitt; James C Torner; John A Lynch

doi:10.1155/2012/767469

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Reliability of semiautomated computational methods for estimating tibiofemoral contact stress in the Multicenter Osteoarthritis Study

Journal article

Open access

Peer reviewed

Reliability of semiautomated computational methods for estimating tibiofemoral contact stress in the Multicenter Osteoarthritis Study

Donald D Anderson, Neil A Segal, Andrew M Kern, Michael C Nevitt, James C Torner and John A Lynch

Computational and mathematical methods in medicine, Vol.2012, 767469

2012

DOI: 10.1155/2012/767469

PMCID: PMC3477762

PMID: 23097679

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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.

Automation

Algorithms

Finite Element Analysis

Reproducibility of Results

Humans

Knee Joint - physiopathology

Middle Aged

Osteoarthritis, Knee - diagnosis

Magnetic Resonance Imaging - methods

Stress, Mechanical

Femur - physiopathology

Biomechanical Phenomena

Knee - physiopathology

Weight-Bearing

Aged

Osteoarthritis, Knee - physiopathology

Tibia - physiopathology

Cohort Studies

Details

Title: Subtitle: Reliability of semiautomated computational methods for estimating tibiofemoral contact stress in the Multicenter Osteoarthritis Study
Creators: Donald D Anderson - Department of Orthopaedics and Rehabilitation, The University of Iowa, Iowa City, IA 52242-1088, USA
Neil A Segal
Andrew M Kern - University of Iowa
Michael C Nevitt
James C Torner
John A Lynch
Resource Type: Journal article
Publication Details: Computational and mathematical methods in medicine, Vol.2012, 767469
DOI: 10.1155/2012/767469
PMID: 23097679
PMCID: PMC3477762
NLM abbreviation: Comput Math Methods Med
ISSN: 1748-670X
eISSN: 1748-6718
Publisher: United States
Grant note: U01 AG018947 / NIA NIH HHS U01 AG018832 / NIA NIH HHS U01AG18947 / NIA NIH HHS U01AG18832 / NIA NIH HHS P50 AR055533 / NIAMS NIH HHS U01 AG019069 / NIA NIH HHS U01AG18820 / NIA NIH HHS P50AR055533 / NIAMS NIH HHS K23 AG030945 / NIA NIH HHS U01AG19069 / NIA NIH HHS K23AG030945 / NIA NIH HHS U01 AG018820 / NIA NIH HHS
Language: English
Date published: 2012
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Epidemiology; Orthopedics and Rehabilitation; Surgery; Industrial and Systems Engineering; Injury Prevention Research Center; Neurosurgery
Record Identifier: 9983995053702771

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