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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Orthopedics and Traumatology, Bak\u0131rk\u00f6y Dr. Sadi Konuk Education and Research Hospital, Tevfik Sa\u011flam St. Number 11, Bak\u0131rk\u00f6, 34147, Istanbul, Turkey", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Orthopedics and Traumatology, Bak\u0131rk\u00f6y Dr. Sadi Konuk Education and Research Hospital, Tevfik Sa\u011flam St. Number 11, Bak\u0131rk\u00f6, 34147, Istanbul, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Durmaz", 
        "givenName": "Altu\u011f", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Orthopedics and Traumatology, Letoon Hospital, Pazaryeri St., K\u00fc\u00e7\u00fck\u00e7oban Ave, Number 22, 48300, Fethiye/Mu\u011fla, Turkey", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Department of Orthopedics and Traumatology, Letoon Hospital, Pazaryeri St., K\u00fc\u00e7\u00fck\u00e7oban Ave, Number 22, 48300, Fethiye/Mu\u011fla, Turkey"
          ], 
          "type": "Organization"
        }, 
        "familyName": "\u0130lter", 
        "givenName": "Mehmet Hakan", 
        "id": "sg:person.011710423747.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011710423747.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Wexham Park Hospital, Wexham Street, Slough Berkshire, London, UK", 
          "id": "http://www.grid.ac/institutes/grid.417081.b", 
          "name": [
            "Department of Radiology, Wexham Park Hospital, Wexham Street, Slough Berkshire, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tuzlali", 
        "givenName": "Hatice", 
        "id": "sg:person.0634535407.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634535407.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00586-001-0366-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000455170", 
          "https://doi.org/10.1007/s00586-001-0366-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-018-2981-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1104235467", 
          "https://doi.org/10.1007/s00256-018-2981-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-016-4662-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006916494", 
          "https://doi.org/10.1007/s00586-016-4662-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-011-1913-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010217565", 
          "https://doi.org/10.1007/s00586-011-1913-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-012-1551-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000772178", 
          "https://doi.org/10.1007/s00256-012-1551-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13018-015-0155-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000980969", 
          "https://doi.org/10.1186/s13018-015-0155-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-016-4687-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015772274", 
          "https://doi.org/10.1007/s00586-016-4687-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00586-009-1123-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018655964", 
          "https://doi.org/10.1007/s00586-009-1123-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02221591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021245210", 
          "https://doi.org/10.1007/bf02221591"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-11-24", 
    "datePublishedReg": "2021-11-24", 
    "description": "PurposeThe radiological examination including plain radiography, CT and MRI are critical to assess the severity of the instability, to diagnose the fracture type and to select the appropriate treatment strategy for the thoracic and lumbar vertebral fractures. The aim of this prospective observational study was to investigate the effect of magnetic resonance imaging (MRI) on decision making for the diagnosis and treatment of acute thoracic and lumbar vertebral fractures.MethodsConsecutive 180 patients with acute thoracic and/or lumbar vertebral fractures were included in the study. The fracture pattern was evaluated by using initial radiographs, computed tomography (CT) and MRI within 24\u00a0h of trauma. Fractures were classified according to AO classification before and after MRI. TLICS classification was also used to decide treatment plan. MRI findings were compared to surgical findings in the surgically treated patients.ResultsA significant moderate agreement was found between Xray\u2009+\u2009CT and post-MRI classifications for all fracture types (Kappa\u2009=\u20090.511; p\u2009<\u20090.001). In 101 patients with new findings on MRI, a significant moderate correlation was observed between Xray\u2009+\u2009CT and post-MRI classifications in the fracture re-classification (Kappa\u2009=\u20090.441, p\u2009<\u20090.001). There was a significant change in the treatment plan of patients with new findings on MRI according to Xray\u2009+\u2009CT (p\u2009<\u20090.0001). After MRI evaluation, the treatment plan changed in favor of surgery in 33.9% of patients who were scheduled for conservative treatment according to Xray\u2009+\u2009CT (p\u2009<\u20090.0001).ConclusionSince MRI assessment of acute thoracic and/or lumbar injuries has led to a remarkable treatment change decision that confirms intraoperative findings of the patients who were decided to undergo surgery, MRI should be obtained in thoracic and lumbar vertebral fractures, regardless of the CT and plain radiographic findings.Level of evidenceLevel II, prospective observational study.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00590-021-03165-z", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1114904", 
        "issn": [
          "1633-8065", 
          "1432-1068"
        ], 
        "name": "European Journal of Orthopaedic Surgery & Traumatology", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }
    ], 
    "keywords": [
      "lumbar vertebral fractures", 
      "magnetic resonance imaging", 
      "prospective observational study", 
      "vertebral fractures", 
      "acute thoracic", 
      "treatment plan", 
      "observational study", 
      "fracture type", 
      "resonance imaging", 
      "favor of surgery", 
      "treatment of thoracic", 
      "MRI classification", 
      "plain radiographic findings", 
      "appropriate treatment strategy", 
      "significant moderate agreement", 
      "TLICS classification", 
      "conservative treatment", 
      "initial radiographs", 
      "MRI findings", 
      "surgical findings", 
      "intraoperative findings", 
      "plain radiography", 
      "AO classification", 
      "significant moderate correlation", 
      "MRI evaluation", 
      "radiographic findings", 
      "MRI assessment", 
      "radiological examination", 
      "evidenceLevel II", 
      "treatment strategies", 
      "lumbar injuries", 
      "patients", 
      "thoracic", 
      "CT", 
      "moderate agreement", 
      "moderate correlation", 
      "surgery", 
      "treatment", 
      "new findings", 
      "diagnosis", 
      "fracture patterns", 
      "significant changes", 
      "fractures", 
      "findings", 
      "imaging", 
      "injury", 
      "radiographs", 
      "trauma", 
      "Xray", 
      "severity", 
      "study", 
      "tomography", 
      "radiography", 
      "examination", 
      "aim", 
      "classification", 
      "assessment", 
      "plan", 
      "levels", 
      "evaluation", 
      "types", 
      "correlation", 
      "effect", 
      "changes", 
      "decisions", 
      "patterns", 
      "strategies", 
      "favor", 
      "instability", 
      "agreement", 
      "change decisions"
    ], 
    "name": "Is magnetic resonance imaging needed for decision making diagnosis and treatment of thoracic and lumbar vertebral fractures?", 
    "pagination": "1-9", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1142922213"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00590-021-03165-z"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34817659"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00590-021-03165-z", 
      "https://app.dimensions.ai/details/publication/pub.1142922213"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-10T10:28", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_894.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00590-021-03165-z"
  }
]

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.

181 TRIPLES      22 PREDICATES      104 URIs      87 LITERALS      5 BLANK NODES