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    Evaluation and Prediction of Human Lumbar Vertebrae Endplate Mechanical Properties Using Indentation and Computed Tomography

    Source: Journal of Biomechanical Engineering:;2018:;volume( 140 ):;issue: 010::page 101011
    Author:
    Patel, Ravi R.
    ,
    Noshchenko, Andriy
    ,
    Dana Carpenter, R.
    ,
    Baldini, Todd
    ,
    Frick, Carl P.
    ,
    Patel, Vikas V.
    ,
    Yakacki, Christopher M.
    DOI: 10.1115/1.4040252
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Current implant materials and designs used in spinal fusion show high rates of subsidence. There is currently a need for a method to predict the mechanical properties of the endplate using clinically available tools. The purpose of this study was to develop a predictive model of the mechanical properties of the vertebral endplate at a scale relevant to the evaluation of current medical implant designs and materials. Twenty vertebrae (10 L1 and 10 L2) from 10 cadavers were studied using dual-energy X-ray absorptiometry to define bone status (normal, osteopenic, or osteoporotic) and computed tomography (CT) to study endplate thickness (μm), density (mg/mm3), and mineral density of underlying trabecular bone (mg/mm3) at discrete sites. Apparent Oliver–Pharr modulus, stiffness, maximum tolerable pressure (MTP), and Brinell hardness were measured at each site using a 3 mm spherical indenter. Predictive models were built for each measured property using various measures obtained from CT and demographic data. Stiffness showed a strong correlation between the predictive model and experimental values (r = 0.85), a polynomial model for Brinell hardness had a stronger predictive ability compared to the linear model (r = 0.82), and the modulus model showed weak predictive ability (r = 0.44), likely due the low indentation depth and the inability to image the endplate at that depth (≈0.15 mm). Osteoporosis and osteopenia were found to be the largest confounders of the measured properties, decreasing them by approximately 50%. It was confirmed that vertebral endplate mechanical properties could be predicted using CT and demographic indices.
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      Evaluation and Prediction of Human Lumbar Vertebrae Endplate Mechanical Properties Using Indentation and Computed Tomography

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    https://yetl.yabesh.ir/yetl1/handle/yetl/4253594
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    • Journal of Biomechanical Engineering

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    contributor authorPatel, Ravi R.
    contributor authorNoshchenko, Andriy
    contributor authorDana Carpenter, R.
    contributor authorBaldini, Todd
    contributor authorFrick, Carl P.
    contributor authorPatel, Vikas V.
    contributor authorYakacki, Christopher M.
    date accessioned2019-02-28T11:11:12Z
    date available2019-02-28T11:11:12Z
    date copyright6/21/2018 12:00:00 AM
    date issued2018
    identifier issn0148-0731
    identifier otherbio_140_10_101011.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4253594
    description abstractCurrent implant materials and designs used in spinal fusion show high rates of subsidence. There is currently a need for a method to predict the mechanical properties of the endplate using clinically available tools. The purpose of this study was to develop a predictive model of the mechanical properties of the vertebral endplate at a scale relevant to the evaluation of current medical implant designs and materials. Twenty vertebrae (10 L1 and 10 L2) from 10 cadavers were studied using dual-energy X-ray absorptiometry to define bone status (normal, osteopenic, or osteoporotic) and computed tomography (CT) to study endplate thickness (μm), density (mg/mm3), and mineral density of underlying trabecular bone (mg/mm3) at discrete sites. Apparent Oliver–Pharr modulus, stiffness, maximum tolerable pressure (MTP), and Brinell hardness were measured at each site using a 3 mm spherical indenter. Predictive models were built for each measured property using various measures obtained from CT and demographic data. Stiffness showed a strong correlation between the predictive model and experimental values (r = 0.85), a polynomial model for Brinell hardness had a stronger predictive ability compared to the linear model (r = 0.82), and the modulus model showed weak predictive ability (r = 0.44), likely due the low indentation depth and the inability to image the endplate at that depth (≈0.15 mm). Osteoporosis and osteopenia were found to be the largest confounders of the measured properties, decreasing them by approximately 50%. It was confirmed that vertebral endplate mechanical properties could be predicted using CT and demographic indices.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleEvaluation and Prediction of Human Lumbar Vertebrae Endplate Mechanical Properties Using Indentation and Computed Tomography
    typeJournal Paper
    journal volume140
    journal issue10
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4040252
    journal fristpage101011
    journal lastpage101011-9
    treeJournal of Biomechanical Engineering:;2018:;volume( 140 ):;issue: 010
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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