Two-dimensional planning can result in internal rotation of the femoral component in total knee arthroplasty View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-01

AUTHORS

Shigetoshi Okamoto, Hideki Mizu-uchi, Ken Okazaki, Satoshi Hamai, Yasutaka Tashiro, Hiroyuki Nakahara, Yukihide Iwamoto

ABSTRACT

PURPOSE: The first purpose of this study was to compare the reproducibility of two-dimensional (2D) and three-dimensional (3D) measurements for preoperative planning of the femoral side in total knee arthroplasty (TKA). The second purpose was to evaluate the factors affecting the differences between the 2D and 3D measurements. METHODS: Two-dimensional and 3D measurements for preoperative planning of the femoral side in TKA were evaluated in 75 varus knees with osteoarthritis. The femoral valgus angle, defined as the angle between the mechanical and anatomical axes of the femur, and the clinical rotation angle and surgical rotation angle, defined by the angles between the posterior condylar line and the clinical or surgical transepicondylar axes, respectively, were analysed using 2D (radiographs and axial CT slices) and 3D (3D bone models reconstructed from CT images) measurements. RESULTS: For all variables, 3D measurements were more reliable and reproducible than 2D measurements. The medians and ranges of the clinical rotation angle and surgical rotation angle were 6.6° (-1.7° to 12.1°) and 2.3° (-2.5° to 8.6°) in 2D, and 7.1° (2.7° to 11.4°) and 3.0° (-2.0° to 7.5°) in 3D. Varus/valgus alteration of the CT scanning direction relative to the mechanical axis affected the difference in clinical rotation angles between 2D and 3D measurements. CONCLUSION: Significantly, smaller values of the clinical rotation angle and surgical rotation angle were obtained by 2D compared to 3D measurements, which could result in internal rotation of the femoral component even if the surgeon performs the bone cutting precisely. Regarding clinical relevance, first, this study confirmed the reliability of 3D measurements. Second, it underscored the risk of internal rotation of the femoral component when using 2D measurement, even with precise bone cutting technique. These results will help surgeons avoid malpositioning of the femoral component if 2D measurements are used for preoperative planning in TKA. LEVEL OF EVIDENCE: Prospective comparative study, Level Ш. More... »

PAGES

229-235

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00167-014-3370-1

DOI

http://dx.doi.org/10.1007/s00167-014-3370-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043940518

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25297705


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": "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": "Arthroplasty, Replacement, Knee", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Malalignment", 
        "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": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Anatomic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Osteoarthritis, Knee", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Preoperative Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rotation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okamoto", 
        "givenName": "Shigetoshi", 
        "id": "sg:person.01360217226.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360217226.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mizu-uchi", 
        "givenName": "Hideki", 
        "id": "sg:person.01077660775.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077660775.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okazaki", 
        "givenName": "Ken", 
        "id": "sg:person.01071237237.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071237237.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamai", 
        "givenName": "Satoshi", 
        "id": "sg:person.01033640371.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033640371.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tashiro", 
        "givenName": "Yasutaka", 
        "id": "sg:person.0577320712.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577320712.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakahara", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.01132672777.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132672777.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kyushu University", 
          "id": "https://www.grid.ac/institutes/grid.177174.3", 
          "name": [
            "Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwamoto", 
        "givenName": "Yukihide", 
        "id": "sg:person.01110066276.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110066276.25"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.knee.2009.01.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004110830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2010.08.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006848574"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00167-011-1691-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011032197", 
          "https://doi.org/10.1007/s00167-011-1691-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.90b8.20265", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012297569"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.86b6.15456", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014007351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2013.04.056", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014101368"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.knee.2006.11.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015465539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017322259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000229356.81749.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019436724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000229356.81749.11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019436724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0736-0266(03)00134-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022641305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.knee.2012.12.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031990998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.84b2.12599", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036005564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-013-2097-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039489728", 
          "https://doi.org/10.1007/s00264-013-2097-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2008.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041315594"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-013-2231-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044031157", 
          "https://doi.org/10.1007/s00264-013-2231-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-013-2231-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044031157", 
          "https://doi.org/10.1007/s00264-013-2231-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2006.11.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048320769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2007.11.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049262972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199610000-00014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060166564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199610000-00014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060166564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199610000-00014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060166564"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199811000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060167555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199811000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060167555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199811000-00021", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060167555"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-200002000-00029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060168130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-200002000-00029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060168130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-200002000-00029", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060168130"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.82b8.10717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064886465"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.93b5.25893", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064886679"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-198769050-00016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068889460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.e.00492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.e.00492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.e.00492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.i.01398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068901855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.i.01398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068901855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.i.01398", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068901855"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2340/16501977-1242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070753771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2340/16501977-1242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1070753771"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-01", 
    "datePublishedReg": "2016-01-01", 
    "description": "PURPOSE: The first purpose of this study was to compare the reproducibility of two-dimensional (2D) and three-dimensional (3D) measurements for preoperative planning of the femoral side in total knee arthroplasty (TKA). The second purpose was to evaluate the factors affecting the differences between the 2D and 3D measurements.\nMETHODS: Two-dimensional and 3D measurements for preoperative planning of the femoral side in TKA were evaluated in 75 varus knees with osteoarthritis. The femoral valgus angle, defined as the angle between the mechanical and anatomical axes of the femur, and the clinical rotation angle and surgical rotation angle, defined by the angles between the posterior condylar line and the clinical or surgical transepicondylar axes, respectively, were analysed using 2D (radiographs and axial CT slices) and 3D (3D bone models reconstructed from CT images) measurements.\nRESULTS: For all variables, 3D measurements were more reliable and reproducible than 2D measurements. The medians and ranges of the clinical rotation angle and surgical rotation angle were 6.6\u00b0 (-1.7\u00b0 to 12.1\u00b0) and 2.3\u00b0 (-2.5\u00b0 to 8.6\u00b0) in 2D, and 7.1\u00b0 (2.7\u00b0 to 11.4\u00b0) and 3.0\u00b0 (-2.0\u00b0 to 7.5\u00b0) in 3D. Varus/valgus alteration of the CT scanning direction relative to the mechanical axis affected the difference in clinical rotation angles between 2D and 3D measurements.\nCONCLUSION: Significantly, smaller values of the clinical rotation angle and surgical rotation angle were obtained by 2D compared to 3D measurements, which could result in internal rotation of the femoral component even if the surgeon performs the bone cutting precisely. Regarding clinical relevance, first, this study confirmed the reliability of 3D measurements. Second, it underscored the risk of internal rotation of the femoral component when using 2D measurement, even with precise bone cutting technique. These results will help surgeons avoid malpositioning of the femoral component if 2D measurements are used for preoperative planning in TKA.\nLEVEL OF EVIDENCE: Prospective comparative study, Level \u0428.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00167-014-3370-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6126438", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1104512", 
        "issn": [
          "0942-2056", 
          "1433-7347"
        ], 
        "name": "Knee Surgery, Sports Traumatology, Arthroscopy", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "24"
      }
    ], 
    "name": "Two-dimensional planning can result in internal rotation of the femoral component in total knee arthroplasty", 
    "pagination": "229-235", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "d14e10425b921f0806bac3893a01c4831cff6487fd8f6f3084cec8a2d461bbad"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25297705"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9314730"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00167-014-3370-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1043940518"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00167-014-3370-1", 
      "https://app.dimensions.ai/details/publication/pub.1043940518"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T17:27", 
    "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_8672_00000490.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00167-014-3370-1"
  }
]
 

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/s00167-014-3370-1'

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/s00167-014-3370-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00167-014-3370-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00167-014-3370-1'


 

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

262 TRIPLES      21 PREDICATES      72 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00167-014-3370-1 schema:about N03630bf7b069467caf0d643887a7f078
2 N06f8741ea39a4d519be784603a62ca70
3 N0b260032582044f49004ac5e6dfc6a26
4 N1ff49f965be44e12af15f90268aa836d
5 N37a26ba9249d4fea9d150468a2288e03
6 N46deba1e19714b42b952f25f1a194696
7 N4b916d69323e4975ba86ce4f1f884a1e
8 N51a4adb874d04211b863413fb5cc326e
9 N54902d57d014432b9d199802abdf57c3
10 N5e92ab4966b841f88d6ace972f380939
11 N6d5fb0a40ed54ef984903f5db46bead9
12 N9c5f9dc52e4646d0be3c98798ff7553e
13 Nacaa6640f7c241be981576e6359e5cb9
14 Nad625e1561da43ef878d0c33bdccc206
15 Nbcae04e4a67c4044aff246a2f627c52e
16 Nc5f22ac6edc94422a3f25afe60950ab7
17 Nea0d7ae5f6134453bac3eeaeff8e5f99
18 anzsrc-for:11
19 anzsrc-for:1103
20 schema:author Nde6226adb87a45eb80a23c5b866fd08f
21 schema:citation sg:pub.10.1007/s00167-011-1691-x
22 sg:pub.10.1007/s00264-013-2097-9
23 sg:pub.10.1007/s00264-013-2231-8
24 https://doi.org/10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e
25 https://doi.org/10.1016/j.arth.2006.11.009
26 https://doi.org/10.1016/j.arth.2007.11.014
27 https://doi.org/10.1016/j.arth.2008.07.007
28 https://doi.org/10.1016/j.arth.2010.08.002
29 https://doi.org/10.1016/j.arth.2013.04.056
30 https://doi.org/10.1016/j.knee.2006.11.001
31 https://doi.org/10.1016/j.knee.2009.01.001
32 https://doi.org/10.1016/j.knee.2012.12.006
33 https://doi.org/10.1016/s0736-0266(03)00134-7
34 https://doi.org/10.1097/00003086-199610000-00014
35 https://doi.org/10.1097/00003086-199811000-00021
36 https://doi.org/10.1097/00003086-200002000-00029
37 https://doi.org/10.1097/01.blo.0000229356.81749.11
38 https://doi.org/10.1302/0301-620x.82b8.10717
39 https://doi.org/10.1302/0301-620x.84b2.12599
40 https://doi.org/10.1302/0301-620x.86b6.15456
41 https://doi.org/10.1302/0301-620x.90b8.20265
42 https://doi.org/10.1302/0301-620x.93b5.25893
43 https://doi.org/10.2106/00004623-198769050-00016
44 https://doi.org/10.2106/jbjs.e.00492
45 https://doi.org/10.2106/jbjs.i.01398
46 https://doi.org/10.2340/16501977-1242
47 schema:datePublished 2016-01
48 schema:datePublishedReg 2016-01-01
49 schema:description PURPOSE: The first purpose of this study was to compare the reproducibility of two-dimensional (2D) and three-dimensional (3D) measurements for preoperative planning of the femoral side in total knee arthroplasty (TKA). The second purpose was to evaluate the factors affecting the differences between the 2D and 3D measurements. METHODS: Two-dimensional and 3D measurements for preoperative planning of the femoral side in TKA were evaluated in 75 varus knees with osteoarthritis. The femoral valgus angle, defined as the angle between the mechanical and anatomical axes of the femur, and the clinical rotation angle and surgical rotation angle, defined by the angles between the posterior condylar line and the clinical or surgical transepicondylar axes, respectively, were analysed using 2D (radiographs and axial CT slices) and 3D (3D bone models reconstructed from CT images) measurements. RESULTS: For all variables, 3D measurements were more reliable and reproducible than 2D measurements. The medians and ranges of the clinical rotation angle and surgical rotation angle were 6.6° (-1.7° to 12.1°) and 2.3° (-2.5° to 8.6°) in 2D, and 7.1° (2.7° to 11.4°) and 3.0° (-2.0° to 7.5°) in 3D. Varus/valgus alteration of the CT scanning direction relative to the mechanical axis affected the difference in clinical rotation angles between 2D and 3D measurements. CONCLUSION: Significantly, smaller values of the clinical rotation angle and surgical rotation angle were obtained by 2D compared to 3D measurements, which could result in internal rotation of the femoral component even if the surgeon performs the bone cutting precisely. Regarding clinical relevance, first, this study confirmed the reliability of 3D measurements. Second, it underscored the risk of internal rotation of the femoral component when using 2D measurement, even with precise bone cutting technique. These results will help surgeons avoid malpositioning of the femoral component if 2D measurements are used for preoperative planning in TKA. LEVEL OF EVIDENCE: Prospective comparative study, Level Ш.
50 schema:genre research_article
51 schema:inLanguage en
52 schema:isAccessibleForFree false
53 schema:isPartOf N6711f8c89b23424a957a971390812bca
54 Na4402ddfee2d48a1b4dcf423eaf43173
55 sg:journal.1104512
56 schema:name Two-dimensional planning can result in internal rotation of the femoral component in total knee arthroplasty
57 schema:pagination 229-235
58 schema:productId N01ceb7953ebc4b90b59ac2246c5fc9ba
59 N2c00272c96c847f2963f3a01eec1e8f9
60 N4b04e6bf687e47a2a9b1cbbbaf3b6ae9
61 N84a4209051b14e14b668f9f764fe51ce
62 Neddc4fcd052e4d57b049080b2eebec59
63 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043940518
64 https://doi.org/10.1007/s00167-014-3370-1
65 schema:sdDatePublished 2019-04-10T17:27
66 schema:sdLicense https://scigraph.springernature.com/explorer/license/
67 schema:sdPublisher N1965d9a467984b0e8dab2828c5a2c740
68 schema:url http://link.springer.com/10.1007/s00167-014-3370-1
69 sgo:license sg:explorer/license/
70 sgo:sdDataset articles
71 rdf:type schema:ScholarlyArticle
72 N01ceb7953ebc4b90b59ac2246c5fc9ba schema:name readcube_id
73 schema:value d14e10425b921f0806bac3893a01c4831cff6487fd8f6f3084cec8a2d461bbad
74 rdf:type schema:PropertyValue
75 N03630bf7b069467caf0d643887a7f078 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Models, Anatomic
77 rdf:type schema:DefinedTerm
78 N06f8741ea39a4d519be784603a62ca70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Prospective Studies
80 rdf:type schema:DefinedTerm
81 N0b260032582044f49004ac5e6dfc6a26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Bone Malalignment
83 rdf:type schema:DefinedTerm
84 N1965d9a467984b0e8dab2828c5a2c740 schema:name Springer Nature - SN SciGraph project
85 rdf:type schema:Organization
86 N1ff49f965be44e12af15f90268aa836d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Female
88 rdf:type schema:DefinedTerm
89 N2c00272c96c847f2963f3a01eec1e8f9 schema:name pubmed_id
90 schema:value 25297705
91 rdf:type schema:PropertyValue
92 N37a26ba9249d4fea9d150468a2288e03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Aged, 80 and over
94 rdf:type schema:DefinedTerm
95 N42343bac813d484ab7dd2c382afd78ba rdf:first sg:person.01033640371.76
96 rdf:rest N4d148972796849ea8bf3677bd8ea5f1e
97 N46deba1e19714b42b952f25f1a194696 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Male
99 rdf:type schema:DefinedTerm
100 N4b04e6bf687e47a2a9b1cbbbaf3b6ae9 schema:name nlm_unique_id
101 schema:value 9314730
102 rdf:type schema:PropertyValue
103 N4b916d69323e4975ba86ce4f1f884a1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Rotation
105 rdf:type schema:DefinedTerm
106 N4d148972796849ea8bf3677bd8ea5f1e rdf:first sg:person.0577320712.31
107 rdf:rest Na5d1d12af17c4ea0bda4ae6bf654e758
108 N51a4adb874d04211b863413fb5cc326e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Femur
110 rdf:type schema:DefinedTerm
111 N54902d57d014432b9d199802abdf57c3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Middle Aged
113 rdf:type schema:DefinedTerm
114 N5e92ab4966b841f88d6ace972f380939 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Arthroplasty, Replacement, Knee
116 rdf:type schema:DefinedTerm
117 N65630a0add3244f49f8d457d0def34ee rdf:first sg:person.01077660775.66
118 rdf:rest N83be4f6868904d258c0d278cbe89cf5e
119 N6711f8c89b23424a957a971390812bca schema:issueNumber 1
120 rdf:type schema:PublicationIssue
121 N6d5fb0a40ed54ef984903f5db46bead9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Tomography, X-Ray Computed
123 rdf:type schema:DefinedTerm
124 N83be4f6868904d258c0d278cbe89cf5e rdf:first sg:person.01071237237.29
125 rdf:rest N42343bac813d484ab7dd2c382afd78ba
126 N84a4209051b14e14b668f9f764fe51ce schema:name dimensions_id
127 schema:value pub.1043940518
128 rdf:type schema:PropertyValue
129 N9c5f9dc52e4646d0be3c98798ff7553e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Osteoarthritis, Knee
131 rdf:type schema:DefinedTerm
132 Na4402ddfee2d48a1b4dcf423eaf43173 schema:volumeNumber 24
133 rdf:type schema:PublicationVolume
134 Na5d1d12af17c4ea0bda4ae6bf654e758 rdf:first sg:person.01132672777.36
135 rdf:rest Nf492c65840ba4e8c937b3670ac23be66
136 Nacaa6640f7c241be981576e6359e5cb9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Humans
138 rdf:type schema:DefinedTerm
139 Nad625e1561da43ef878d0c33bdccc206 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Preoperative Care
141 rdf:type schema:DefinedTerm
142 Nbcae04e4a67c4044aff246a2f627c52e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Reproducibility of Results
144 rdf:type schema:DefinedTerm
145 Nc5f22ac6edc94422a3f25afe60950ab7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Imaging, Three-Dimensional
147 rdf:type schema:DefinedTerm
148 Nde6226adb87a45eb80a23c5b866fd08f rdf:first sg:person.01360217226.03
149 rdf:rest N65630a0add3244f49f8d457d0def34ee
150 Nea0d7ae5f6134453bac3eeaeff8e5f99 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Aged
152 rdf:type schema:DefinedTerm
153 Neddc4fcd052e4d57b049080b2eebec59 schema:name doi
154 schema:value 10.1007/s00167-014-3370-1
155 rdf:type schema:PropertyValue
156 Nf492c65840ba4e8c937b3670ac23be66 rdf:first sg:person.01110066276.25
157 rdf:rest rdf:nil
158 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
159 schema:name Medical and Health Sciences
160 rdf:type schema:DefinedTerm
161 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
162 schema:name Clinical Sciences
163 rdf:type schema:DefinedTerm
164 sg:grant.6126438 http://pending.schema.org/fundedItem sg:pub.10.1007/s00167-014-3370-1
165 rdf:type schema:MonetaryGrant
166 sg:journal.1104512 schema:issn 0942-2056
167 1433-7347
168 schema:name Knee Surgery, Sports Traumatology, Arthroscopy
169 rdf:type schema:Periodical
170 sg:person.01033640371.76 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
171 schema:familyName Hamai
172 schema:givenName Satoshi
173 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01033640371.76
174 rdf:type schema:Person
175 sg:person.01071237237.29 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
176 schema:familyName Okazaki
177 schema:givenName Ken
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01071237237.29
179 rdf:type schema:Person
180 sg:person.01077660775.66 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
181 schema:familyName Mizu-uchi
182 schema:givenName Hideki
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01077660775.66
184 rdf:type schema:Person
185 sg:person.01110066276.25 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
186 schema:familyName Iwamoto
187 schema:givenName Yukihide
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01110066276.25
189 rdf:type schema:Person
190 sg:person.01132672777.36 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
191 schema:familyName Nakahara
192 schema:givenName Hiroyuki
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132672777.36
194 rdf:type schema:Person
195 sg:person.01360217226.03 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
196 schema:familyName Okamoto
197 schema:givenName Shigetoshi
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360217226.03
199 rdf:type schema:Person
200 sg:person.0577320712.31 schema:affiliation https://www.grid.ac/institutes/grid.177174.3
201 schema:familyName Tashiro
202 schema:givenName Yasutaka
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0577320712.31
204 rdf:type schema:Person
205 sg:pub.10.1007/s00167-011-1691-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1011032197
206 https://doi.org/10.1007/s00167-011-1691-x
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/s00264-013-2097-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039489728
209 https://doi.org/10.1007/s00264-013-2097-9
210 rdf:type schema:CreativeWork
211 sg:pub.10.1007/s00264-013-2231-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044031157
212 https://doi.org/10.1007/s00264-013-2231-8
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1002/(sici)1097-0258(19980115)17:1<101::aid-sim727>3.0.co;2-e schema:sameAs https://app.dimensions.ai/details/publication/pub.1017322259
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1016/j.arth.2006.11.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048320769
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1016/j.arth.2007.11.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049262972
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1016/j.arth.2008.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041315594
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.arth.2010.08.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006848574
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.arth.2013.04.056 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014101368
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.knee.2006.11.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015465539
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.knee.2009.01.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004110830
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.knee.2012.12.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031990998
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/s0736-0266(03)00134-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022641305
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1097/00003086-199610000-00014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060166564
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1097/00003086-199811000-00021 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060167555
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/00003086-200002000-00029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060168130
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1097/01.blo.0000229356.81749.11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019436724
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1302/0301-620x.82b8.10717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064886465
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1302/0301-620x.84b2.12599 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036005564
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1302/0301-620x.86b6.15456 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014007351
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1302/0301-620x.90b8.20265 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012297569
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1302/0301-620x.93b5.25893 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064886679
251 rdf:type schema:CreativeWork
252 https://doi.org/10.2106/00004623-198769050-00016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068889460
253 rdf:type schema:CreativeWork
254 https://doi.org/10.2106/jbjs.e.00492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068899736
255 rdf:type schema:CreativeWork
256 https://doi.org/10.2106/jbjs.i.01398 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068901855
257 rdf:type schema:CreativeWork
258 https://doi.org/10.2340/16501977-1242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070753771
259 rdf:type schema:CreativeWork
260 https://www.grid.ac/institutes/grid.177174.3 schema:alternateName Kyushu University
261 schema:name Department of Orthopaedic Surgery, Graduate School of Medical Sciences, Kyushu University, 3-1-1 Maidashi, Higashi-ku, 812-8582, Fukuoka, Japan
262 rdf:type schema:Organization
 




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


...