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Abstracts Posters SICOT-SOF meeting Gothenburg 2010 _2_

Abstracts Posters SICOT-SOF meeting Gothenburg 2010 _2_

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Poster<br />

Topic: Spine<br />

Abstract number: 25606<br />

CORRELATION OF VERTEBRAL STRENGTH TOPOGRAPHY WITH 3-<br />

DIMENSIONAL COMPUTED TOMOGRAPHY STRUCTURE<br />

Evalina BURGER, Andriy NOSHCHENKO, Vikas PATEL<br />

University of Colorado Denver, Aurora (UNITED STATES)<br />

Introduction: To prevent intervertebral implant subsidence, the interface between an<br />

implant and the vertebral bone must have sufficient strength. Strength across the<br />

endplate is not consistent. An accurate assessment of vertebrae endplate stiffness at<br />

discrete sites before surgery could improve postoperative outcomes. Methods: In this<br />

cadaveric study, 8 lumbar vertebrae (L5, 6; L4, 2) were tested. Stiffness was<br />

assessed at 9 discrete sites of cranial and caudal surfaces with indentation testing<br />

(IT). Micro-CT images were obtained before and after IT. Micro-CT characteristic of<br />

cortical and cancellous bone were defined at 45 regions of interest with a 3dimentional<br />

coordinate system. Osteoporotic status of the vertebrae was defined<br />

using QCT criteria. Predictive models of the local stiffness were created using bone<br />

structural and density characteristics. Results: Stiffness across the tested surfaces<br />

was highly variable and was significantly decreased in osteoporotic vertebrae.<br />

Endplate thickness and density combined with trabecular density and trabecular<br />

number of adjacent cancellous bone were found to be good predictors of local<br />

stiffness. Three models based on different combinations of bone structural<br />

characteristics were created. Conclusions: The obtained results confirm the study<br />

hypothesis that strength at discrete sites of human lumbar vertebrae depends on 3demensional<br />

structure and density of the cortical and cancellous bone and that local<br />

stiffness can be evaluated using models based on vertebrae bone characteristics<br />

obtained from quantitative computed tomography images. Clinical Relevance: The<br />

use of these predictive models in the clinical setting could improve the assessment of<br />

risk for vertebrae fracture.<br />

430

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