QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-02

AUTHORS

E. Dall’Ara, D. Pahr, P. Varga, F. Kainberger, P. Zysset

ABSTRACT

SUMMARY: While dual energy X-ray absorptiometry (DXA) is considered the gold standard to evaluate fracture risk in vivo, in the present study, the quantitative computed tomography (QCT)-based finite element modeling has been found to provide a quantitative and significantly improved prediction of vertebral strength in vitro. This technique might be used in vivo considering however the much larger doses of radiation needed for QCT. INTRODUCTION: Vertebral fracture is a common medical problem in osteoporotic individuals. Bone mineral density (BMD) is the gold standard measure to evaluate fracture risk in vivo. QCT-based finite element (FE) modeling is an engineering method to predict vertebral strength. The aim of this study was to compare the ability of FE and clinical diagnostic tools to predict vertebral strength in vitro using an improved testing protocol. METHODS: Thirty-seven vertebral sections were scanned with QCT and high resolution peripheral QCT (HR-pQCT). Bone mineral content (BMC), total BMD (tBMD), areal BMD from lateral (aBMD-lat), and anterior-posterior (aBMD-ap) projections were evaluated for both resolutions. Wedge-shaped fractures were then induced in each specimen with a novel testing setup. Nonlinear homogenized FE models (hFE) and linear micro-FE (μFE) were generated from QCT and HR-pQCT images, respectively. For experiments and models, both structural properties (stiffness, ultimate load) and material properties (apparent modulus and strength) were computed and compared. RESULTS: Both hFE and μFE models predicted material properties better than structural ones and predicted strength significantly better than aBMD computed from QCT and HR-pQCT (hFE: R² = 0.79, μFE: R² = 0.88, aBMD-ap: R² = 0.48-0.47, aBMD-lat: R² = 0.41-0.43). Moreover, the hFE provided reasonable quantitative estimations of the experimental mechanical properties without fitting the model parameters. CONCLUSIONS: The QCT-based hFE method provides a quantitative and significantly improved prediction of vertebral strength in vitro when compared to simulated DXA. This superior predictive power needs to be verified for loading conditions that simulate even more the in vivo case for human vertebrae. More... »

PAGES

563-572

References to SciGraph publications

  • 2006-04. The use of multiple sites for the diagnosis of osteoporosis in OSTEOPOROSIS INTERNATIONAL
  • 2004-02. Excess mortality after hospitalisation for vertebral fracture in OSTEOPOROSIS INTERNATIONAL
  • 2009-04. A three-dimensional elastic plastic damage constitutive law for bone tissue in BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
  • 2006-12. An estimate of the worldwide prevalence and disability associated with osteoporotic fractures in OSTEOPOROSIS INTERNATIONAL
  • 2007-02. Vertebral Osteoporosis and Trabecular Bone Quality in ANNALS OF BIOMEDICAL ENGINEERING
  • 2009-12. Automated simulation of areal bone mineral density assessment in the distal radius from high-resolution peripheral quantitative computed tomography in OSTEOPOROSIS INTERNATIONAL
  • 2001-02. A comparison of spinal quantitative computed tomography with dual energy X-ray absorptiometry in European women with vertebral and nonvertebral fractures in CALCIFIED TISSUE INTERNATIONAL
  • 2006-03. The role of collagen in bone strength in OSTEOPOROSIS INTERNATIONAL
  • 2005-03. Epidemiology of osteoporotic fractures in OSTEOPOROSIS INTERNATIONAL
  • 2006. An Alternative Fabric-based Yield and Failure Criterion for Trabecular Bone in MECHANICS OF BIOLOGICAL TISSUE
  • 2002-02. Biomechanics of Bone: Determinants of Skeletal Fragility and Bone Quality in OSTEOPOROSIS INTERNATIONAL
  • 2009-06. Multi-axial mechanical properties of human trabecular bone in BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
  • 2003-03. Bone strength and its determinants in OSTEOPOROSIS INTERNATIONAL
  • 2008-02. The role of fabric in the quasi-static compressive mechanical properties of human trabecular bone from various anatomical locations in BIOMECHANICS AND MODELING IN MECHANOBIOLOGY
  • 2000-03. An Update on the Diagnosis and Assessment of Osteoporosis with Densitometry in OSTEOPOROSIS INTERNATIONAL
  • 2003-09. Bone quality: where do we go from here? in OSTEOPOROSIS INTERNATIONAL
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00198-011-1568-3

    DOI

    http://dx.doi.org/10.1007/s00198-011-1568-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1004832323

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/21344244


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Absorptiometry, Photon", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Biomechanical Phenomena", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Bone Density", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Finite Element Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Osteoporotic Fractures", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Spinal Fractures", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Spine", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Stress, Mechanical", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "TU Wien", 
              "id": "https://www.grid.ac/institutes/grid.5329.d", 
              "name": [
                "Institute of Lightweight Design and Structural Biomechanics, Vienna University of Technology, Gu\u00dfhausstrasse 27\u201329, 1040, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dall\u2019Ara", 
            "givenName": "E.", 
            "id": "sg:person.01045761306.18", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045761306.18"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "TU Wien", 
              "id": "https://www.grid.ac/institutes/grid.5329.d", 
              "name": [
                "Institute of Lightweight Design and Structural Biomechanics, Vienna University of Technology, Gu\u00dfhausstrasse 27\u201329, 1040, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Pahr", 
            "givenName": "D.", 
            "id": "sg:person.01365470633.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365470633.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "TU Wien", 
              "id": "https://www.grid.ac/institutes/grid.5329.d", 
              "name": [
                "Institute of Lightweight Design and Structural Biomechanics, Vienna University of Technology, Gu\u00dfhausstrasse 27\u201329, 1040, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Varga", 
            "givenName": "P.", 
            "id": "sg:person.01366566217.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366566217.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Medical University of Vienna", 
              "id": "https://www.grid.ac/institutes/grid.22937.3d", 
              "name": [
                "Department of Radiology, Medical University of Vienna, W\u00e4hringer Guertel 18\u201320, 1090, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kainberger", 
            "givenName": "F.", 
            "id": "sg:person.050203143.91", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.050203143.91"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "TU Wien", 
              "id": "https://www.grid.ac/institutes/grid.5329.d", 
              "name": [
                "Institute of Lightweight Design and Structural Biomechanics, Vienna University of Technology, Gu\u00dfhausstrasse 27\u201329, 1040, Vienna, Austria"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zysset", 
            "givenName": "P.", 
            "id": "sg:person.0727712557.09", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727712557.09"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s10237-008-0128-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003448471", 
              "https://doi.org/10.1007/s10237-008-0128-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-008-0128-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003448471", 
              "https://doi.org/10.1007/s10237-008-0128-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1359/jbmr.2003.18.7.1254", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003560610"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1359/jbmr.090803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003983324"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1359/jbmr.090803", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003983324"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jbiomech.2003.12.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004081109"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.injury.2007.08.014", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005299598"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/3-540-31184-x_33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005460158", 
              "https://doi.org/10.1007/3-540-31184-x_33"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s8756-3282(03)00210-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005821999"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s8756-3282(03)00210-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005821999"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.brs.0000225993.57349.df", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006063457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.brs.0000225993.57349.df", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006063457"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1037/0033-2909.87.2.245", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006949414"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.beem.2008.07.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1007341724"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001980050281", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008829241", 
              "https://doi.org/10.1007/s001980050281"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0021-9290(96)80006-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008897165"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s8756-3282(00)00376-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010426548"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bone.2008.10.045", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013264477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/0021-9290(94)90053-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015769751"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bone.2007.02.013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016402621"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10255840903065399", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021169853"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-005-0014-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021345850", 
              "https://doi.org/10.1007/s00198-005-0014-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-005-0014-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021345850", 
              "https://doi.org/10.1007/s00198-005-0014-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-006-0073-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022748766", 
              "https://doi.org/10.1007/s10237-006-0073-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-006-0073-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022748766", 
              "https://doi.org/10.1007/s10237-006-0073-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-006-0073-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022748766", 
              "https://doi.org/10.1007/s10237-006-0073-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/archinte.164.10.1108", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022873613"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bone.2010.04.162", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023445364"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-003-1516-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024195661", 
              "https://doi.org/10.1007/s00198-003-1516-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-006-0172-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025193568", 
              "https://doi.org/10.1007/s00198-006-0172-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-006-0172-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025193568", 
              "https://doi.org/10.1007/s00198-006-0172-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10255840802144105", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025645931"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.clinbiomech.2007.08.024", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026752884"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0021-9290(03)00128-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031671832"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0021-9290(03)00128-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031671832"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-004-1702-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032908387", 
              "https://doi.org/10.1007/s00198-004-1702-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-004-1702-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032908387", 
              "https://doi.org/10.1007/s00198-004-1702-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bone.2008.01.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034256771"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02678144", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034463833", 
              "https://doi.org/10.1007/bf02678144"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jbiomech.2010.04.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035261298"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1749-6632.2009.05378.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037047250"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1749-6632.2009.05378.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037047250"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s8756-3282(99)00098-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037587276"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s001980200000", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037874382", 
              "https://doi.org/10.1007/s001980200000"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-005-2035-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041631602", 
              "https://doi.org/10.1007/s00198-005-2035-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-005-2035-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041631602", 
              "https://doi.org/10.1007/s00198-005-2035-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/nme.2101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041771933"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jbiomech.2009.04.017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041891536"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.semarthrit.2006.04.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042012904"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-008-0125-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042066056", 
              "https://doi.org/10.1007/s10237-008-0125-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-008-0125-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042066056", 
              "https://doi.org/10.1007/s10237-008-0125-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10237-008-0125-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042066056", 
              "https://doi.org/10.1007/s10237-008-0125-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ageing/afl081", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045508940"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/10255840802078022", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046191200"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10439-006-9239-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047430515", 
              "https://doi.org/10.1007/s10439-006-9239-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10439-006-9239-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047430515", 
              "https://doi.org/10.1007/s10439-006-9239-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bone.2003.12.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047744863"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejmp.2009.08.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048224630"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-009-0907-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048310999", 
              "https://doi.org/10.1007/s00198-009-0907-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-009-0907-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048310999", 
              "https://doi.org/10.1007/s00198-009-0907-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-009-0907-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048310999", 
              "https://doi.org/10.1007/s00198-009-0907-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-003-1489-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048940329", 
              "https://doi.org/10.1007/s00198-003-1489-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/8756-3282(96)88871-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049901174"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00198-002-1345-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050740784", 
              "https://doi.org/10.1007/s00198-002-1345-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1359/jbmr.2000.15.1.32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051030300"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jor.1100160305", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051448804"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bone.2006.10.025", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051587994"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1098/rsta.2010.0046", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053318949"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1115/1.3212097", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062107350"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmj.312.7041.1254", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062775836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmj.312.7041.1254", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062775836"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074273028", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082575724", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2012-02", 
        "datePublishedReg": "2012-02-01", 
        "description": "SUMMARY: While dual energy X-ray absorptiometry (DXA) is considered the gold standard to evaluate fracture risk in vivo, in the present study, the quantitative computed tomography (QCT)-based finite element modeling has been found to provide a quantitative and significantly improved prediction of vertebral strength in vitro. This technique might be used in vivo considering however the much larger doses of radiation needed for QCT.\nINTRODUCTION: Vertebral fracture is a common medical problem in osteoporotic individuals. Bone mineral density (BMD) is the gold standard measure to evaluate fracture risk in vivo. QCT-based finite element (FE) modeling is an engineering method to predict vertebral strength. The aim of this study was to compare the ability of FE and clinical diagnostic tools to predict vertebral strength in vitro using an improved testing protocol.\nMETHODS: Thirty-seven vertebral sections were scanned with QCT and high resolution peripheral QCT (HR-pQCT). Bone mineral content (BMC), total BMD (tBMD), areal BMD from lateral (aBMD-lat), and anterior-posterior (aBMD-ap) projections were evaluated for both resolutions. Wedge-shaped fractures were then induced in each specimen with a novel testing setup. Nonlinear homogenized FE models (hFE) and linear micro-FE (\u03bcFE) were generated from QCT and HR-pQCT images, respectively. For experiments and models, both structural properties (stiffness, ultimate load) and material properties (apparent modulus and strength) were computed and compared.\nRESULTS: Both hFE and \u03bcFE models predicted material properties better than structural ones and predicted strength significantly better than aBMD computed from QCT and HR-pQCT (hFE: R\u00b2\u2009=\u20090.79, \u03bcFE: R\u00b2\u2009=\u20090.88, aBMD-ap: R\u00b2\u2009=\u20090.48-0.47, aBMD-lat: R\u00b2\u2009=\u20090.41-0.43). Moreover, the hFE provided reasonable quantitative estimations of the experimental mechanical properties without fitting the model parameters.\nCONCLUSIONS: The QCT-based hFE method provides a quantitative and significantly improved prediction of vertebral strength in vitro when compared to simulated DXA. This superior predictive power needs to be verified for loading conditions that simulate even more the in vivo case for human vertebrae.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00198-011-1568-3", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1100834", 
            "issn": [
              "0937-941X", 
              "1433-2965"
            ], 
            "name": "Osteoporosis International", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "23"
          }
        ], 
        "name": "QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA", 
        "pagination": "563-572", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "1706e1acf74faed1991db6757005a66d2098e20a0dc728dc795ac84348b54d83"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "21344244"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9100105"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00198-011-1568-3"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1004832323"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00198-011-1568-3", 
          "https://app.dimensions.ai/details/publication/pub.1004832323"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T19:51", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8681_00000485.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007/s00198-011-1568-3"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00198-011-1568-3'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00198-011-1568-3'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00198-011-1568-3'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00198-011-1568-3'


     

    This table displays all metadata directly associated to this object as RDF triples.

    343 TRIPLES      21 PREDICATES      100 URIs      37 LITERALS      25 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00198-011-1568-3 schema:about N04940175486941bc8dd9a18991728eb6
    2 N0849d23369da47efa0043cd6f796c168
    3 N263cf3e55a8d478fba221b1efec1ed28
    4 N4f9988b8be9b43ba9d1eaf5db2a19fb7
    5 N64c5e00351de492787bcc11357aa994c
    6 N774f84ab5d0d4adb8e7a337fa8855a01
    7 N7c9cda66f6e54dbdb51e0956274969bd
    8 N91a763ef9c9342ae99b34cf9be7bf153
    9 Naba7b470335244abb1fee53e37b8c802
    10 Nbec863eff5dc46feaeb7d7aae6f9f188
    11 Nc1e43812a2f64dea88249777002ace1e
    12 Nc22035a5533c4716a16b5e6e56bbda5f
    13 Ncb46f2ef1b1943678968e1ae600e04f5
    14 Nd709732890e348d7a03340a39bea5078
    15 Nd761eafc78304f5387a12da1dec686b2
    16 Nf6894d7987cc441483b65267b47ae3bc
    17 anzsrc-for:11
    18 anzsrc-for:1103
    19 schema:author Ne0e2bb6aad1349af8cb2866f15557b4b
    20 schema:citation sg:pub.10.1007/3-540-31184-x_33
    21 sg:pub.10.1007/bf02678144
    22 sg:pub.10.1007/s00198-002-1345-4
    23 sg:pub.10.1007/s00198-003-1489-x
    24 sg:pub.10.1007/s00198-003-1516-y
    25 sg:pub.10.1007/s00198-004-1702-6
    26 sg:pub.10.1007/s00198-005-0014-9
    27 sg:pub.10.1007/s00198-005-2035-9
    28 sg:pub.10.1007/s00198-006-0172-4
    29 sg:pub.10.1007/s00198-009-0907-0
    30 sg:pub.10.1007/s001980050281
    31 sg:pub.10.1007/s001980200000
    32 sg:pub.10.1007/s10237-006-0073-7
    33 sg:pub.10.1007/s10237-008-0125-2
    34 sg:pub.10.1007/s10237-008-0128-z
    35 sg:pub.10.1007/s10439-006-9239-9
    36 https://app.dimensions.ai/details/publication/pub.1074273028
    37 https://app.dimensions.ai/details/publication/pub.1082575724
    38 https://doi.org/10.1001/archinte.164.10.1108
    39 https://doi.org/10.1002/jor.1100160305
    40 https://doi.org/10.1002/nme.2101
    41 https://doi.org/10.1016/0021-9290(94)90053-1
    42 https://doi.org/10.1016/8756-3282(96)88871-5
    43 https://doi.org/10.1016/j.beem.2008.07.003
    44 https://doi.org/10.1016/j.bone.2003.12.001
    45 https://doi.org/10.1016/j.bone.2006.10.025
    46 https://doi.org/10.1016/j.bone.2007.02.013
    47 https://doi.org/10.1016/j.bone.2008.01.017
    48 https://doi.org/10.1016/j.bone.2008.10.045
    49 https://doi.org/10.1016/j.bone.2010.04.162
    50 https://doi.org/10.1016/j.clinbiomech.2007.08.024
    51 https://doi.org/10.1016/j.ejmp.2009.08.002
    52 https://doi.org/10.1016/j.injury.2007.08.014
    53 https://doi.org/10.1016/j.jbiomech.2003.12.011
    54 https://doi.org/10.1016/j.jbiomech.2009.04.017
    55 https://doi.org/10.1016/j.jbiomech.2010.04.023
    56 https://doi.org/10.1016/j.semarthrit.2006.04.002
    57 https://doi.org/10.1016/s0021-9290(03)00128-3
    58 https://doi.org/10.1016/s0021-9290(96)80006-6
    59 https://doi.org/10.1016/s8756-3282(00)00376-8
    60 https://doi.org/10.1016/s8756-3282(03)00210-2
    61 https://doi.org/10.1016/s8756-3282(99)00098-8
    62 https://doi.org/10.1037/0033-2909.87.2.245
    63 https://doi.org/10.1080/10255840802078022
    64 https://doi.org/10.1080/10255840802144105
    65 https://doi.org/10.1080/10255840903065399
    66 https://doi.org/10.1093/ageing/afl081
    67 https://doi.org/10.1097/01.brs.0000225993.57349.df
    68 https://doi.org/10.1098/rsta.2010.0046
    69 https://doi.org/10.1111/j.1749-6632.2009.05378.x
    70 https://doi.org/10.1115/1.3212097
    71 https://doi.org/10.1136/bmj.312.7041.1254
    72 https://doi.org/10.1359/jbmr.090803
    73 https://doi.org/10.1359/jbmr.2000.15.1.32
    74 https://doi.org/10.1359/jbmr.2003.18.7.1254
    75 schema:datePublished 2012-02
    76 schema:datePublishedReg 2012-02-01
    77 schema:description SUMMARY: While dual energy X-ray absorptiometry (DXA) is considered the gold standard to evaluate fracture risk in vivo, in the present study, the quantitative computed tomography (QCT)-based finite element modeling has been found to provide a quantitative and significantly improved prediction of vertebral strength in vitro. This technique might be used in vivo considering however the much larger doses of radiation needed for QCT. INTRODUCTION: Vertebral fracture is a common medical problem in osteoporotic individuals. Bone mineral density (BMD) is the gold standard measure to evaluate fracture risk in vivo. QCT-based finite element (FE) modeling is an engineering method to predict vertebral strength. The aim of this study was to compare the ability of FE and clinical diagnostic tools to predict vertebral strength in vitro using an improved testing protocol. METHODS: Thirty-seven vertebral sections were scanned with QCT and high resolution peripheral QCT (HR-pQCT). Bone mineral content (BMC), total BMD (tBMD), areal BMD from lateral (aBMD-lat), and anterior-posterior (aBMD-ap) projections were evaluated for both resolutions. Wedge-shaped fractures were then induced in each specimen with a novel testing setup. Nonlinear homogenized FE models (hFE) and linear micro-FE (μFE) were generated from QCT and HR-pQCT images, respectively. For experiments and models, both structural properties (stiffness, ultimate load) and material properties (apparent modulus and strength) were computed and compared. RESULTS: Both hFE and μFE models predicted material properties better than structural ones and predicted strength significantly better than aBMD computed from QCT and HR-pQCT (hFE: R² = 0.79, μFE: R² = 0.88, aBMD-ap: R² = 0.48-0.47, aBMD-lat: R² = 0.41-0.43). Moreover, the hFE provided reasonable quantitative estimations of the experimental mechanical properties without fitting the model parameters. CONCLUSIONS: The QCT-based hFE method provides a quantitative and significantly improved prediction of vertebral strength in vitro when compared to simulated DXA. This superior predictive power needs to be verified for loading conditions that simulate even more the in vivo case for human vertebrae.
    78 schema:genre research_article
    79 schema:inLanguage en
    80 schema:isAccessibleForFree false
    81 schema:isPartOf N75b99e59a348418c9fd98b36c6a515b5
    82 Nb465ad0344ec4ea3963c433c58946f5f
    83 sg:journal.1100834
    84 schema:name QCT-based finite element models predict human vertebral strength in vitro significantly better than simulated DEXA
    85 schema:pagination 563-572
    86 schema:productId N1875feaf45e74178921f0bb9b8cca8ae
    87 N470920940de74c96a9098c27f82bad66
    88 N4d01490e32d7455e8498f81cf3ed2a80
    89 N8a0b5357b00049dd8a65554bf8199ffb
    90 Na223baaa4ac44da08c2cd93174a2e1d5
    91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004832323
    92 https://doi.org/10.1007/s00198-011-1568-3
    93 schema:sdDatePublished 2019-04-10T19:51
    94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    95 schema:sdPublisher Nfbadf61583eb42ab83145da4e8ed469c
    96 schema:url http://link.springer.com/10.1007/s00198-011-1568-3
    97 sgo:license sg:explorer/license/
    98 sgo:sdDataset articles
    99 rdf:type schema:ScholarlyArticle
    100 N04940175486941bc8dd9a18991728eb6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    101 schema:name Middle Aged
    102 rdf:type schema:DefinedTerm
    103 N0849d23369da47efa0043cd6f796c168 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    104 schema:name Aged
    105 rdf:type schema:DefinedTerm
    106 N1875feaf45e74178921f0bb9b8cca8ae schema:name nlm_unique_id
    107 schema:value 9100105
    108 rdf:type schema:PropertyValue
    109 N205b8191cf864050afc15fa7a863723f rdf:first sg:person.01366566217.81
    110 rdf:rest N9b45bcbc787e40a88e6dc3524c3c2002
    111 N234cecf672ad42789778b549c31bc59e rdf:first sg:person.0727712557.09
    112 rdf:rest rdf:nil
    113 N263cf3e55a8d478fba221b1efec1ed28 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Tomography, X-Ray Computed
    115 rdf:type schema:DefinedTerm
    116 N470920940de74c96a9098c27f82bad66 schema:name pubmed_id
    117 schema:value 21344244
    118 rdf:type schema:PropertyValue
    119 N4d01490e32d7455e8498f81cf3ed2a80 schema:name dimensions_id
    120 schema:value pub.1004832323
    121 rdf:type schema:PropertyValue
    122 N4f9988b8be9b43ba9d1eaf5db2a19fb7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Biomechanical Phenomena
    124 rdf:type schema:DefinedTerm
    125 N64c5e00351de492787bcc11357aa994c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Aged, 80 and over
    127 rdf:type schema:DefinedTerm
    128 N75b99e59a348418c9fd98b36c6a515b5 schema:issueNumber 2
    129 rdf:type schema:PublicationIssue
    130 N774f84ab5d0d4adb8e7a337fa8855a01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Spine
    132 rdf:type schema:DefinedTerm
    133 N7c9cda66f6e54dbdb51e0956274969bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Spinal Fractures
    135 rdf:type schema:DefinedTerm
    136 N8a0b5357b00049dd8a65554bf8199ffb schema:name readcube_id
    137 schema:value 1706e1acf74faed1991db6757005a66d2098e20a0dc728dc795ac84348b54d83
    138 rdf:type schema:PropertyValue
    139 N91a763ef9c9342ae99b34cf9be7bf153 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Finite Element Analysis
    141 rdf:type schema:DefinedTerm
    142 N9b45bcbc787e40a88e6dc3524c3c2002 rdf:first sg:person.050203143.91
    143 rdf:rest N234cecf672ad42789778b549c31bc59e
    144 Na223baaa4ac44da08c2cd93174a2e1d5 schema:name doi
    145 schema:value 10.1007/s00198-011-1568-3
    146 rdf:type schema:PropertyValue
    147 Naba7b470335244abb1fee53e37b8c802 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Stress, Mechanical
    149 rdf:type schema:DefinedTerm
    150 Nb465ad0344ec4ea3963c433c58946f5f schema:volumeNumber 23
    151 rdf:type schema:PublicationVolume
    152 Nbec863eff5dc46feaeb7d7aae6f9f188 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Female
    154 rdf:type schema:DefinedTerm
    155 Nc1e43812a2f64dea88249777002ace1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Osteoporotic Fractures
    157 rdf:type schema:DefinedTerm
    158 Nc22035a5533c4716a16b5e6e56bbda5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Male
    160 rdf:type schema:DefinedTerm
    161 Ncb46f2ef1b1943678968e1ae600e04f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    162 schema:name Absorptiometry, Photon
    163 rdf:type schema:DefinedTerm
    164 Nd709732890e348d7a03340a39bea5078 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Humans
    166 rdf:type schema:DefinedTerm
    167 Nd761eafc78304f5387a12da1dec686b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    168 schema:name Bone Density
    169 rdf:type schema:DefinedTerm
    170 Ne0e2bb6aad1349af8cb2866f15557b4b rdf:first sg:person.01045761306.18
    171 rdf:rest Ne5329f01f3e94bc4a670bfcfd4680751
    172 Ne5329f01f3e94bc4a670bfcfd4680751 rdf:first sg:person.01365470633.32
    173 rdf:rest N205b8191cf864050afc15fa7a863723f
    174 Nf6894d7987cc441483b65267b47ae3bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    175 schema:name Adult
    176 rdf:type schema:DefinedTerm
    177 Nfbadf61583eb42ab83145da4e8ed469c schema:name Springer Nature - SN SciGraph project
    178 rdf:type schema:Organization
    179 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    180 schema:name Medical and Health Sciences
    181 rdf:type schema:DefinedTerm
    182 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    183 schema:name Clinical Sciences
    184 rdf:type schema:DefinedTerm
    185 sg:journal.1100834 schema:issn 0937-941X
    186 1433-2965
    187 schema:name Osteoporosis International
    188 rdf:type schema:Periodical
    189 sg:person.01045761306.18 schema:affiliation https://www.grid.ac/institutes/grid.5329.d
    190 schema:familyName Dall’Ara
    191 schema:givenName E.
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01045761306.18
    193 rdf:type schema:Person
    194 sg:person.01365470633.32 schema:affiliation https://www.grid.ac/institutes/grid.5329.d
    195 schema:familyName Pahr
    196 schema:givenName D.
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01365470633.32
    198 rdf:type schema:Person
    199 sg:person.01366566217.81 schema:affiliation https://www.grid.ac/institutes/grid.5329.d
    200 schema:familyName Varga
    201 schema:givenName P.
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01366566217.81
    203 rdf:type schema:Person
    204 sg:person.050203143.91 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
    205 schema:familyName Kainberger
    206 schema:givenName F.
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.050203143.91
    208 rdf:type schema:Person
    209 sg:person.0727712557.09 schema:affiliation https://www.grid.ac/institutes/grid.5329.d
    210 schema:familyName Zysset
    211 schema:givenName P.
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0727712557.09
    213 rdf:type schema:Person
    214 sg:pub.10.1007/3-540-31184-x_33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005460158
    215 https://doi.org/10.1007/3-540-31184-x_33
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/bf02678144 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034463833
    218 https://doi.org/10.1007/bf02678144
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s00198-002-1345-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050740784
    221 https://doi.org/10.1007/s00198-002-1345-4
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s00198-003-1489-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048940329
    224 https://doi.org/10.1007/s00198-003-1489-x
    225 rdf:type schema:CreativeWork
    226 sg:pub.10.1007/s00198-003-1516-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1024195661
    227 https://doi.org/10.1007/s00198-003-1516-y
    228 rdf:type schema:CreativeWork
    229 sg:pub.10.1007/s00198-004-1702-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032908387
    230 https://doi.org/10.1007/s00198-004-1702-6
    231 rdf:type schema:CreativeWork
    232 sg:pub.10.1007/s00198-005-0014-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021345850
    233 https://doi.org/10.1007/s00198-005-0014-9
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s00198-005-2035-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041631602
    236 https://doi.org/10.1007/s00198-005-2035-9
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s00198-006-0172-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025193568
    239 https://doi.org/10.1007/s00198-006-0172-4
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s00198-009-0907-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048310999
    242 https://doi.org/10.1007/s00198-009-0907-0
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/s001980050281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008829241
    245 https://doi.org/10.1007/s001980050281
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1007/s001980200000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037874382
    248 https://doi.org/10.1007/s001980200000
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1007/s10237-006-0073-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022748766
    251 https://doi.org/10.1007/s10237-006-0073-7
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1007/s10237-008-0125-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042066056
    254 https://doi.org/10.1007/s10237-008-0125-2
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1007/s10237-008-0128-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1003448471
    257 https://doi.org/10.1007/s10237-008-0128-z
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1007/s10439-006-9239-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047430515
    260 https://doi.org/10.1007/s10439-006-9239-9
    261 rdf:type schema:CreativeWork
    262 https://app.dimensions.ai/details/publication/pub.1074273028 schema:CreativeWork
    263 https://app.dimensions.ai/details/publication/pub.1082575724 schema:CreativeWork
    264 https://doi.org/10.1001/archinte.164.10.1108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022873613
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1002/jor.1100160305 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051448804
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1002/nme.2101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041771933
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1016/0021-9290(94)90053-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015769751
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1016/8756-3282(96)88871-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049901174
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1016/j.beem.2008.07.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007341724
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1016/j.bone.2003.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047744863
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1016/j.bone.2006.10.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051587994
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1016/j.bone.2007.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016402621
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1016/j.bone.2008.01.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034256771
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1016/j.bone.2008.10.045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013264477
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1016/j.bone.2010.04.162 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023445364
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1016/j.clinbiomech.2007.08.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026752884
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1016/j.ejmp.2009.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048224630
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1016/j.injury.2007.08.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005299598
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1016/j.jbiomech.2003.12.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004081109
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1016/j.jbiomech.2009.04.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041891536
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1016/j.jbiomech.2010.04.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035261298
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1016/j.semarthrit.2006.04.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042012904
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1016/s0021-9290(03)00128-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031671832
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1016/s0021-9290(96)80006-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008897165
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1016/s8756-3282(00)00376-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010426548
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1016/s8756-3282(03)00210-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005821999
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1016/s8756-3282(99)00098-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037587276
    311 rdf:type schema:CreativeWork
    312 https://doi.org/10.1037/0033-2909.87.2.245 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006949414
    313 rdf:type schema:CreativeWork
    314 https://doi.org/10.1080/10255840802078022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046191200
    315 rdf:type schema:CreativeWork
    316 https://doi.org/10.1080/10255840802144105 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025645931
    317 rdf:type schema:CreativeWork
    318 https://doi.org/10.1080/10255840903065399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021169853
    319 rdf:type schema:CreativeWork
    320 https://doi.org/10.1093/ageing/afl081 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045508940
    321 rdf:type schema:CreativeWork
    322 https://doi.org/10.1097/01.brs.0000225993.57349.df schema:sameAs https://app.dimensions.ai/details/publication/pub.1006063457
    323 rdf:type schema:CreativeWork
    324 https://doi.org/10.1098/rsta.2010.0046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053318949
    325 rdf:type schema:CreativeWork
    326 https://doi.org/10.1111/j.1749-6632.2009.05378.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037047250
    327 rdf:type schema:CreativeWork
    328 https://doi.org/10.1115/1.3212097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062107350
    329 rdf:type schema:CreativeWork
    330 https://doi.org/10.1136/bmj.312.7041.1254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062775836
    331 rdf:type schema:CreativeWork
    332 https://doi.org/10.1359/jbmr.090803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003983324
    333 rdf:type schema:CreativeWork
    334 https://doi.org/10.1359/jbmr.2000.15.1.32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051030300
    335 rdf:type schema:CreativeWork
    336 https://doi.org/10.1359/jbmr.2003.18.7.1254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003560610
    337 rdf:type schema:CreativeWork
    338 https://www.grid.ac/institutes/grid.22937.3d schema:alternateName Medical University of Vienna
    339 schema:name Department of Radiology, Medical University of Vienna, Währinger Guertel 18–20, 1090, Vienna, Austria
    340 rdf:type schema:Organization
    341 https://www.grid.ac/institutes/grid.5329.d schema:alternateName TU Wien
    342 schema:name Institute of Lightweight Design and Structural Biomechanics, Vienna University of Technology, Gußhausstrasse 27–29, 1040, Vienna, Austria
    343 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...