Patellar skin surface temperature by thermography reflects knee osteoarthritis severity.
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BACKGROUND: Digital infrared thermal imaging is a means of measuring the heat radiated from the skin surface. Our goal was to develop and assess the reproducibility of serial infrared measurements of the knee and to assess the association of knee temperature by region of interest with radiographic severity of knee Osteoarthritis (rOA). METHODS: A total of 30 women (15 Cases with symptomatic knee OA and 15 age-matched Controls without knee pain or knee OA) participated in this study. Infrared imaging was performed with a Meditherm Med2000™ Pro infrared camera. The reproducibility of infrared imaging of the knee was evaluated through determination of intraclass correlation coefficients (ICCs) for temperature measurements from two images performed 6 months apart in Controls whose knee status was not expected to change. The average cutaneous temperature for each of five knee regions of interest was extracted using WinTes software. Knee x-rays were scored for severity of rOA based on the global Kellgren-Lawrence grading scale. RESULTS: The knee infrared thermal imaging procedure used here demonstrated long-term reproducibility with high ICCs (0.50-0.72 for the various regions of interest) in Controls. Cutaneous temperature of the patella (knee cap) yielded a significant correlation with severity of knee rOA (R = 0.594, P = 0.02). CONCLUSION: The skin temperature of the patellar region correlated with x-ray severity of knee OA. This method of infrared knee imaging is reliable and as an objective measure of a sign of inflammation, temperature, indicates an interrelationship of inflammation and structural knee rOA damage.
Published Version (Please cite this version)10.4137/CMAMD.S5916
Publication InfoDenoble, Anna E; Hall, Norine; Pieper, Carl F; & Kraus, Virginia B (2010). Patellar skin surface temperature by thermography reflects knee osteoarthritis severity. Clin Med Insights Arthritis Musculoskelet Disord, 3. pp. 69-75. 10.4137/CMAMD.S5916. Retrieved from https://hdl.handle.net/10161/10864.
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Professor of Medicine
My special area of expertise is as a clinician scientist investigating osteoarthritis. Osteoarthritis is the most common form of joint disease in man and its incidence increases with age. It is a problem of increasing concern to the medical community due to the increasing longevity of the population. Trained as a molecular biologist and a Rheumatologist, I endeavor to study this disease from bedside to bench. The work in this laboratory focuses on osteoarthritis and deals w
Associate Professor of Biostatistics and Bioinformatics
Analytic Interests. 1) Issues in the Design of Medical Experiments: I explore the use of reliability/generalizability models in experimental design. In addition to incorporation of reliability, I study powering longitudinal trials with multiple outcomes and substantial missing data using Mixed models. 2) Issues in the Analysis of Repeated Measures Designs & Longitudinal Data: Use of Hierarchical Linear Models (HLM) or Mixed Models in modeling trajectories of multipl
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