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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anterior Cruciate Ligament", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anterior Cruciate Ligament Injuries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Anterior Cruciate Ligament Reconstruction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cadaver", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Femur", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Imaging, Three-Dimensional", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "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": "Tibia", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan", 
          "id": "http://www.grid.ac/institutes/grid.31432.37", 
          "name": [
            "Department of Orthopedic Surgery, University of Pittsburgh, 3820 S Water St., 15206, Pittsburgh, PA, USA", 
            "Department of Orthopedic Surgery, Kobe University Graduate School of Medicine, Kobe, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Araki", 
        "givenName": "Daisuke", 
        "id": "sg:person.01271647131.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01271647131.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Orthopedic Surgery, University of Pittsburgh, 3820 S Water St., 15206, Pittsburgh, PA, USA", 
          "id": "http://www.grid.ac/institutes/grid.21925.3d", 
          "name": [
            "Department of Orthopedic Surgery, University of Pittsburgh, 3820 S Water St., 15206, Pittsburgh, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Thorhauer", 
        "givenName": "Eric", 
        "id": "sg:person.01362576514.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362576514.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston, Houston, USA", 
          "id": "http://www.grid.ac/institutes/grid.267308.8", 
          "name": [
            "Department of Orthopedic Surgery, University of Pittsburgh, 3820 S Water St., 15206, Pittsburgh, PA, USA", 
            "Department of Orthopaedic Surgery, The University of Texas Health Science Center at Houston, Houston, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tashman", 
        "givenName": "Scott", 
        "id": "sg:person.01016205052.65", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01016205052.65"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00167-009-0870-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002748802", 
          "https://doi.org/10.1007/s00167-009-0870-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-013-1172-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014707951", 
          "https://doi.org/10.1007/s00276-013-1172-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-007-0410-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033418567", 
          "https://doi.org/10.1007/s00167-007-0410-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-012-1951-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043930784", 
          "https://doi.org/10.1007/s00167-012-1951-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-014-2948-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045529109", 
          "https://doi.org/10.1007/s00167-014-2948-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-006-0172-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041039544", 
          "https://doi.org/10.1007/s00167-006-0172-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-011-1690-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012896774", 
          "https://doi.org/10.1007/s00167-011-1690-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00776-013-0479-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019094807", 
          "https://doi.org/10.1007/s00776-013-0479-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-014-3146-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009325271", 
          "https://doi.org/10.1007/s00167-014-3146-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-011-1515-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053298628", 
          "https://doi.org/10.1007/s00167-011-1515-z"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-06-13", 
    "datePublishedReg": "2017-06-13", 
    "description": "PurposeThis study quantified the error in anterior cruciate ligament (ACL) insertion site location and area estimated from three-dimensional (3D) isotropic magnetic resonance imaging (MRI) by comparing to native insertion sites determined via 3D laser scanning.MethodsIsotropic 3D DESS MRI was acquired from twelve fresh-frozen, ACL-intact cadaver knees. ACL insertion sites were manually outlined in each MRI slice, and the resulting contours combined to determine the 3D insertion site shape. Specimens were then disarticulated, and the boundaries of the ACL insertion sites were digitized using a high-accuracy laser scanner. MRI and laser scan insertion sites were co-registered to determine the percent overlapping area and difference in insertion centroid location.ResultsFemoral ACL insertion site area averaged 112.7\u00a0\u00b1\u00a017.9\u00a0mm2 from MRI and 109.7\u00a0\u00b1\u00a010.9\u00a0mm2 from laser scan (p\u00a0=\u00a00.345). Tibial insertion area was 134.7\u00a0\u00b1\u00a022.9\u00a0mm2 from MRI and 135.2\u00a0\u00b1\u00a015.1\u00a0mm2 from laser scan (p\u00a0=\u00a00.881). Percentages of overlapping area between modalities were 82.2\u00a0\u00b1\u00a010.2% for femurs and 81.0\u00a0\u00b1\u00a09.0% for tibias. The root-mean-square differences for ACL insertion site centroids were 1.87\u00a0mm for femurs and 2.49\u00a0mm for tibias. The MRI-estimated ACL insertion site centroids were biased on average 0.6\u00a0\u00b1\u00a01.6\u00a0mm proximally and 0.3\u00a0\u00b1\u00a01.9\u00a0mm posteriorly for femurs, and 0.3\u00a0\u00b1\u00a01.1\u00a0mm laterally and 0.5\u00a0\u00b1\u00a01.5\u00a0mm anteriorly for tibias.ConclusionErrors in ACL insertion site location and area estimated from 3D-MRI were determined via comparison with a high-accuracy 3D laser scanning. Results indicate that MRI can provide estimates of ACL insertion site area and centroid location with clinically applicable accuracy. MRI-based assessment can provide a reliable estimate of the native ACL anatomy, which can be helpful for surgical planning as well as assessment of graft tunnel placement.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00167-017-4560-4", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2465039", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1104512", 
        "issn": [
          "0942-2056", 
          "1433-7347"
        ], 
        "name": "Knee Surgery, Sports Traumatology, Arthroscopy", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "5", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "26"
      }
    ], 
    "keywords": [
      "magnetic resonance imaging", 
      "ACL insertion site", 
      "insertion site location", 
      "resonance imaging", 
      "native ACL anatomy", 
      "graft tunnel placement", 
      "native insertion site", 
      "insertion site", 
      "tunnel placement", 
      "ACL anatomy", 
      "PurposeThis study", 
      "surgical planning", 
      "tibial insertion area", 
      "cadaver knees", 
      "tibia", 
      "femur", 
      "insertion area", 
      "scans", 
      "MRI slices", 
      "anatomy", 
      "imaging", 
      "knee", 
      "assessment", 
      "differences", 
      "modalities", 
      "ConclusionErrors", 
      "scanning", 
      "percent", 
      "slices", 
      "sites", 
      "percentage", 
      "placement", 
      "mm2", 
      "area", 
      "reliable estimates", 
      "study", 
      "specimens", 
      "location", 
      "high-accuracy laser scanner", 
      "scanner", 
      "estimates", 
      "comparison", 
      "results", 
      "planning", 
      "applicable accuracy", 
      "site location", 
      "site area", 
      "laser scanning", 
      "laser scans", 
      "contours", 
      "centroid location", 
      "laser scanner", 
      "accuracy", 
      "square difference", 
      "error", 
      "site shape", 
      "boundaries", 
      "shape", 
      "centroid", 
      "anterior cruciate ligament (ACL) insertion site location", 
      "cruciate ligament (ACL) insertion site location", 
      "ligament (ACL) insertion site location", 
      "three-dimensional (3D) isotropic magnetic resonance imaging", 
      "isotropic magnetic resonance imaging", 
      "MethodsIsotropic 3D DESS MRI", 
      "DESS MRI", 
      "ACL-intact cadaver knees", 
      "insertion site shape", 
      "laser scan insertion sites", 
      "scan insertion sites", 
      "insertion centroid location", 
      "ResultsFemoral ACL insertion site area", 
      "ACL insertion site area", 
      "insertion site area", 
      "ACL insertion site centroids", 
      "insertion site centroids", 
      "site centroids", 
      "MRI-estimated ACL insertion site centroids", 
      "ACL insertion site location", 
      "high-accuracy 3D laser scanning", 
      "native anterior cruciate ligament insertion site anatomy", 
      "anterior cruciate ligament insertion site anatomy", 
      "cruciate ligament insertion site anatomy", 
      "ligament insertion site anatomy", 
      "insertion site anatomy", 
      "site anatomy"
    ], 
    "name": "Three-dimensional isotropic magnetic resonance imaging can provide a reliable estimate of the native anterior cruciate ligament insertion site anatomy", 
    "pagination": "1311-1318", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1085998104"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00167-017-4560-4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28612204"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00167-017-4560-4", 
      "https://app.dimensions.ai/details/publication/pub.1085998104"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:44", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_736.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00167-017-4560-4"
  }
]

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

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

260 TRIPLES      22 PREDICATES      134 URIs      116 LITERALS      19 BLANK NODES