New method for measuring acetabular component positioning with EOS imaging: feasibility study on dry bone View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-11

AUTHORS

Alexandre Journé, Jérome Sadaka, Claire Bélicourt, Alain Sautet

ABSTRACT

PURPOSE: Malposition of the acetabular cup is the most common cause of total hip arthroplasty (THA) dislocation. The position of a total hip implant is usually analysed on computed tomography (CT) scan. We aim to prove it is possible to measure, with good accuracy, the position of an acetabular cup using the low-dose irradiation (EOS) imaging. MATERIAL AND METHODS: We implanted an acetabular cup in a pelvic dry bone and measured cup anteversion and inclination with scanography. We performed 14 series of EOS acquisitions with different inclination, rotation and pelvic tilt, which were analysed by five observers. Two observers repeated angle measurements. We then calculated measurement inter- and intrareproducibility and accuracy. RESULTS: Using a confidence interval (CI) of 95 %, inter- and intra-observer reproducibility were ±1.6, and ±1.4°, respectively, for cup inclination; accuracy in comparison with CT was ±2.6°. Using a 95 % CI, inter- and intra-observer reproducibility for cup anteversion were ±2.5° and ±2.3°, respectively. Measurement accuracy compared with CT was ±3.9°. CONCLUSION: EOS imaging system is superior to standard radiography in terms of measuring acetabular anteversion and inclination. More... »

PAGES

2205-2209

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00264-012-1650-2

DOI

http://dx.doi.org/10.1007/s00264-012-1650-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047634037

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/22949124


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": "Acetabulum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arthroplasty, Replacement, Hip", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dose-Response Relationship, Radiation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hip Dislocation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hip Joint", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hip Prosthesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prosthesis Design", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prosthesis Fitting", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Antoine", 
          "id": "https://www.grid.ac/institutes/grid.412370.3", 
          "name": [
            "Department of Orthopaedic and Trauma Surgery, Saint Antoine Hospital, 184 rue du Faubourg Saint Antoine, 75571, Paris cedex 12, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Journ\u00e9", 
        "givenName": "Alexandre", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Antoine", 
          "id": "https://www.grid.ac/institutes/grid.412370.3", 
          "name": [
            "Department of Orthopaedic and Trauma Surgery, Saint Antoine Hospital, 184 rue du Faubourg Saint Antoine, 75571, Paris cedex 12, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sadaka", 
        "givenName": "J\u00e9rome", 
        "id": "sg:person.01202772270.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202772270.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Antoine", 
          "id": "https://www.grid.ac/institutes/grid.412370.3", 
          "name": [
            "Department of Orthopaedic and Trauma Surgery, Saint Antoine Hospital, 184 rue du Faubourg Saint Antoine, 75571, Paris cedex 12, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "B\u00e9licourt", 
        "givenName": "Claire", 
        "id": "sg:person.01251105470.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251105470.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Saint-Antoine", 
          "id": "https://www.grid.ac/institutes/grid.412370.3", 
          "name": [
            "Department of Orthopaedic and Trauma Surgery, Saint Antoine Hospital, 184 rue du Faubourg Saint Antoine, 75571, Paris cedex 12, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sautet", 
        "givenName": "Alain", 
        "id": "sg:person.01346262643.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346262643.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejrad.2005.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006966998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2005.10.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006966998"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1308/003588408x318156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007447521"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00276-003-0195-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008881226", 
          "https://doi.org/10.1007/s00276-003-0195-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000183741.96610.c3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009475659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000183741.96610.c3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009475659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.blo.0000183741.96610.c3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009475659"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-008-0560-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011255581", 
          "https://doi.org/10.1007/s11999-008-0560-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-008-0560-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011255581"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0035-1040(07)92729-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012098335"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.87b6.14745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015009411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.87b6.14745", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015009411"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-011-1403-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017230447", 
          "https://doi.org/10.1007/s00264-011-1403-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002470050413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028724619", 
          "https://doi.org/10.1007/s002470050413"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-008-0683-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030791172", 
          "https://doi.org/10.1007/s00264-008-0683-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-008-0683-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030791172", 
          "https://doi.org/10.1007/s00264-008-0683-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2003.10.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031574135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11999-010-1732-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037413419", 
          "https://doi.org/10.1007/s11999-010-1732-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1007/s11999-010-1732-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037413419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0883-5403(98)80003-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039165239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0883-5403(98)80003-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039165239"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arth.2007.07.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044302822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-010-1042-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048247995", 
          "https://doi.org/10.1007/s00264-010-1042-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-012-1512-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048432345", 
          "https://doi.org/10.1007/s00264-012-1512-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00264-012-1512-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048432345", 
          "https://doi.org/10.1007/s00264-012-1512-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-006-0086-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053311921", 
          "https://doi.org/10.1007/s00256-006-0086-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-006-0086-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053311921", 
          "https://doi.org/10.1007/s00256-006-0086-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199012000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060163947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199012000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060163947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199012000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060163947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00003086-199012000-00019", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1060163947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.81b3.9067", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064886108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-197860020-00014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068886761"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-200003000-00003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068893667"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-200511000-00012", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068896996"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.d.02860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.d.02860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.d.02860", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899537"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077101422", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1302/0301-620x.68b3.3733807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079922965"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2012-11", 
    "datePublishedReg": "2012-11-01", 
    "description": "PURPOSE: Malposition of the acetabular cup is the most common cause of total hip arthroplasty (THA) dislocation. The position of a total hip implant is usually analysed on computed tomography (CT) scan. We aim to prove it is possible to measure, with good accuracy, the position of an acetabular cup using the low-dose irradiation (EOS) imaging.\nMATERIAL AND METHODS: We implanted an acetabular cup in a pelvic dry bone and measured cup anteversion and inclination with scanography. We performed 14 series of EOS acquisitions with different inclination, rotation and pelvic tilt, which were analysed by five observers. Two observers repeated angle measurements. We then calculated measurement inter- and intrareproducibility and accuracy.\nRESULTS: Using a confidence interval (CI) of 95 %, inter- and intra-observer reproducibility were \u00b11.6, and \u00b11.4\u00b0, respectively, for cup inclination; accuracy in comparison with CT was \u00b12.6\u00b0. Using a 95 % CI, inter- and intra-observer reproducibility for cup anteversion were \u00b12.5\u00b0 and \u00b12.3\u00b0, respectively. Measurement accuracy compared with CT was \u00b13.9\u00b0.\nCONCLUSION: EOS imaging system is superior to standard radiography in terms of measuring acetabular anteversion and inclination.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00264-012-1650-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1086603", 
        "issn": [
          "0341-2695", 
          "1432-5195"
        ], 
        "name": "International Orthopaedics", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "36"
      }
    ], 
    "name": "New method for measuring acetabular component positioning with EOS imaging: feasibility study on dry bone", 
    "pagination": "2205-2209", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "e2ea714561c5f3340dd19a565cd7ea7557a5af8ed8e76b7b0ce633729af85421"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "22949124"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7705431"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00264-012-1650-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1047634037"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00264-012-1650-2", 
      "https://app.dimensions.ai/details/publication/pub.1047634037"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:04", 
    "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_8678_00000491.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00264-012-1650-2"
  }
]
 

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/s00264-012-1650-2'

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/s00264-012-1650-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00264-012-1650-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00264-012-1650-2'


 

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

234 TRIPLES      21 PREDICATES      70 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00264-012-1650-2 schema:about N1215ef0daf8e44c594e0c29e00ce9395
2 N1a2cc3e35bdd4447b5e2d0f104c0c49f
3 N5b262432ac2a40008f289ae88680ddd9
4 N697b168d992d4634a8b77ce11cc7e5d2
5 N69bc171679a246bd9d0681d6c214a6b2
6 N799d7b7656004260bbde51931c745653
7 N8d806e24b8ce4be79a364167601382bd
8 N90920842dc9a4877b252852fd8ca2ac4
9 Nafc092f3529347ee87f291e05da7c0f8
10 Nb295db12bbef402cbed2aff72fdbd571
11 Nd25d026ef73c43309ab3805532b3dcf1
12 Ne8f515598e2e4bb0af2f97bdb75dcc04
13 Nf489741aeda34abf80474c62415a0f7c
14 Nfc85d190c77c418c9159b7740a11a807
15 anzsrc-for:11
16 anzsrc-for:1103
17 schema:author Nb3ab3263535f438795537dda0d6d9af6
18 schema:citation sg:pub.10.1007/s002470050413
19 sg:pub.10.1007/s00256-006-0086-4
20 sg:pub.10.1007/s00264-008-0683-z
21 sg:pub.10.1007/s00264-010-1042-4
22 sg:pub.10.1007/s00264-011-1403-7
23 sg:pub.10.1007/s00264-012-1512-y
24 sg:pub.10.1007/s00276-003-0195-x
25 sg:pub.10.1007/s11999-008-0560-5
26 sg:pub.10.1007/s11999-010-1732-7
27 https://app.dimensions.ai/details/publication/pub.1077101422
28 https://doi.org/10.1007/s11999-008-0560-5
29 https://doi.org/10.1007/s11999-010-1732-7
30 https://doi.org/10.1016/j.arth.2003.10.016
31 https://doi.org/10.1016/j.arth.2007.07.009
32 https://doi.org/10.1016/j.ejrad.2005.10.003
33 https://doi.org/10.1016/s0035-1040(07)92729-4
34 https://doi.org/10.1016/s0883-5403(98)80003-x
35 https://doi.org/10.1097/00003086-199012000-00019
36 https://doi.org/10.1097/01.blo.0000183741.96610.c3
37 https://doi.org/10.1302/0301-620x.68b3.3733807
38 https://doi.org/10.1302/0301-620x.81b3.9067
39 https://doi.org/10.1302/0301-620x.87b6.14745
40 https://doi.org/10.1308/003588408x318156
41 https://doi.org/10.2106/00004623-197860020-00014
42 https://doi.org/10.2106/00004623-200003000-00003
43 https://doi.org/10.2106/00004623-200511000-00012
44 https://doi.org/10.2106/jbjs.d.02860
45 schema:datePublished 2012-11
46 schema:datePublishedReg 2012-11-01
47 schema:description PURPOSE: Malposition of the acetabular cup is the most common cause of total hip arthroplasty (THA) dislocation. The position of a total hip implant is usually analysed on computed tomography (CT) scan. We aim to prove it is possible to measure, with good accuracy, the position of an acetabular cup using the low-dose irradiation (EOS) imaging. MATERIAL AND METHODS: We implanted an acetabular cup in a pelvic dry bone and measured cup anteversion and inclination with scanography. We performed 14 series of EOS acquisitions with different inclination, rotation and pelvic tilt, which were analysed by five observers. Two observers repeated angle measurements. We then calculated measurement inter- and intrareproducibility and accuracy. RESULTS: Using a confidence interval (CI) of 95 %, inter- and intra-observer reproducibility were ±1.6, and ±1.4°, respectively, for cup inclination; accuracy in comparison with CT was ±2.6°. Using a 95 % CI, inter- and intra-observer reproducibility for cup anteversion were ±2.5° and ±2.3°, respectively. Measurement accuracy compared with CT was ±3.9°. CONCLUSION: EOS imaging system is superior to standard radiography in terms of measuring acetabular anteversion and inclination.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree true
51 schema:isPartOf N6a3bfc31a9464fd3963e4500ca4cec9d
52 Nb1d0a252756c4150a9975dc5a9f757ad
53 sg:journal.1086603
54 schema:name New method for measuring acetabular component positioning with EOS imaging: feasibility study on dry bone
55 schema:pagination 2205-2209
56 schema:productId N38cb056d175e4cf69f03c5037859f65e
57 N3d3cc64ef4604bd79f3ee5dcab2d9d32
58 N99234a638bab4ca69440d05d1811122e
59 Nc993a1b5eb81435f8c3181da48f3805c
60 Nfcf9fb1a3f0d4152b4345ea810f4600a
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047634037
62 https://doi.org/10.1007/s00264-012-1650-2
63 schema:sdDatePublished 2019-04-10T19:04
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N2cf40babf0a24158b5594b208cdc7c7e
66 schema:url http://link.springer.com/10.1007/s00264-012-1650-2
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N1215ef0daf8e44c594e0c29e00ce9395 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Dose-Response Relationship, Radiation
72 rdf:type schema:DefinedTerm
73 N1a2cc3e35bdd4447b5e2d0f104c0c49f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Tomography, X-Ray Computed
75 rdf:type schema:DefinedTerm
76 N2cf40babf0a24158b5594b208cdc7c7e schema:name Springer Nature - SN SciGraph project
77 rdf:type schema:Organization
78 N382ffdd445554d3bb4065f65c0c3166a rdf:first sg:person.01202772270.09
79 rdf:rest Nfa7fdfda19a04d5e937cbef7213602b1
80 N38cb056d175e4cf69f03c5037859f65e schema:name dimensions_id
81 schema:value pub.1047634037
82 rdf:type schema:PropertyValue
83 N3d3cc64ef4604bd79f3ee5dcab2d9d32 schema:name doi
84 schema:value 10.1007/s00264-012-1650-2
85 rdf:type schema:PropertyValue
86 N5b262432ac2a40008f289ae88680ddd9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Acetabulum
88 rdf:type schema:DefinedTerm
89 N697b168d992d4634a8b77ce11cc7e5d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Prosthesis Design
91 rdf:type schema:DefinedTerm
92 N69bc171679a246bd9d0681d6c214a6b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Reproducibility of Results
94 rdf:type schema:DefinedTerm
95 N6a3bfc31a9464fd3963e4500ca4cec9d schema:volumeNumber 36
96 rdf:type schema:PublicationVolume
97 N799d7b7656004260bbde51931c745653 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
98 schema:name Hip Dislocation
99 rdf:type schema:DefinedTerm
100 N8ce989186caf4fbbb2c20a62beab6634 rdf:first sg:person.01346262643.06
101 rdf:rest rdf:nil
102 N8d806e24b8ce4be79a364167601382bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Models, Biological
104 rdf:type schema:DefinedTerm
105 N90920842dc9a4877b252852fd8ca2ac4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Prosthesis Fitting
107 rdf:type schema:DefinedTerm
108 N99234a638bab4ca69440d05d1811122e schema:name nlm_unique_id
109 schema:value 7705431
110 rdf:type schema:PropertyValue
111 Nafc092f3529347ee87f291e05da7c0f8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Arthroplasty, Replacement, Hip
113 rdf:type schema:DefinedTerm
114 Nb1d0a252756c4150a9975dc5a9f757ad schema:issueNumber 11
115 rdf:type schema:PublicationIssue
116 Nb295db12bbef402cbed2aff72fdbd571 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Feasibility Studies
118 rdf:type schema:DefinedTerm
119 Nb3ab3263535f438795537dda0d6d9af6 rdf:first Nfd033cebffab405f97ec51a370ba4436
120 rdf:rest N382ffdd445554d3bb4065f65c0c3166a
121 Nc993a1b5eb81435f8c3181da48f3805c schema:name readcube_id
122 schema:value e2ea714561c5f3340dd19a565cd7ea7557a5af8ed8e76b7b0ce633729af85421
123 rdf:type schema:PropertyValue
124 Nd25d026ef73c43309ab3805532b3dcf1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Humans
126 rdf:type schema:DefinedTerm
127 Ne8f515598e2e4bb0af2f97bdb75dcc04 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Hip Prosthesis
129 rdf:type schema:DefinedTerm
130 Nf489741aeda34abf80474c62415a0f7c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Hip Joint
132 rdf:type schema:DefinedTerm
133 Nfa7fdfda19a04d5e937cbef7213602b1 rdf:first sg:person.01251105470.86
134 rdf:rest N8ce989186caf4fbbb2c20a62beab6634
135 Nfc85d190c77c418c9159b7740a11a807 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Observer Variation
137 rdf:type schema:DefinedTerm
138 Nfcf9fb1a3f0d4152b4345ea810f4600a schema:name pubmed_id
139 schema:value 22949124
140 rdf:type schema:PropertyValue
141 Nfd033cebffab405f97ec51a370ba4436 schema:affiliation https://www.grid.ac/institutes/grid.412370.3
142 schema:familyName Journé
143 schema:givenName Alexandre
144 rdf:type schema:Person
145 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
146 schema:name Medical and Health Sciences
147 rdf:type schema:DefinedTerm
148 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
149 schema:name Clinical Sciences
150 rdf:type schema:DefinedTerm
151 sg:journal.1086603 schema:issn 0341-2695
152 1432-5195
153 schema:name International Orthopaedics
154 rdf:type schema:Periodical
155 sg:person.01202772270.09 schema:affiliation https://www.grid.ac/institutes/grid.412370.3
156 schema:familyName Sadaka
157 schema:givenName Jérome
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01202772270.09
159 rdf:type schema:Person
160 sg:person.01251105470.86 schema:affiliation https://www.grid.ac/institutes/grid.412370.3
161 schema:familyName Bélicourt
162 schema:givenName Claire
163 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01251105470.86
164 rdf:type schema:Person
165 sg:person.01346262643.06 schema:affiliation https://www.grid.ac/institutes/grid.412370.3
166 schema:familyName Sautet
167 schema:givenName Alain
168 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346262643.06
169 rdf:type schema:Person
170 sg:pub.10.1007/s002470050413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028724619
171 https://doi.org/10.1007/s002470050413
172 rdf:type schema:CreativeWork
173 sg:pub.10.1007/s00256-006-0086-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053311921
174 https://doi.org/10.1007/s00256-006-0086-4
175 rdf:type schema:CreativeWork
176 sg:pub.10.1007/s00264-008-0683-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1030791172
177 https://doi.org/10.1007/s00264-008-0683-z
178 rdf:type schema:CreativeWork
179 sg:pub.10.1007/s00264-010-1042-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048247995
180 https://doi.org/10.1007/s00264-010-1042-4
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s00264-011-1403-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017230447
183 https://doi.org/10.1007/s00264-011-1403-7
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s00264-012-1512-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1048432345
186 https://doi.org/10.1007/s00264-012-1512-y
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s00276-003-0195-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1008881226
189 https://doi.org/10.1007/s00276-003-0195-x
190 rdf:type schema:CreativeWork
191 sg:pub.10.1007/s11999-008-0560-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011255581
192 https://doi.org/10.1007/s11999-008-0560-5
193 rdf:type schema:CreativeWork
194 sg:pub.10.1007/s11999-010-1732-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037413419
195 https://doi.org/10.1007/s11999-010-1732-7
196 rdf:type schema:CreativeWork
197 https://app.dimensions.ai/details/publication/pub.1077101422 schema:CreativeWork
198 https://doi.org/10.1007/s11999-008-0560-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011255581
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1007/s11999-010-1732-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037413419
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.arth.2003.10.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031574135
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.arth.2007.07.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044302822
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.ejrad.2005.10.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006966998
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/s0035-1040(07)92729-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012098335
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/s0883-5403(98)80003-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1039165239
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1097/00003086-199012000-00019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060163947
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1097/01.blo.0000183741.96610.c3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009475659
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1302/0301-620x.68b3.3733807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079922965
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1302/0301-620x.81b3.9067 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064886108
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1302/0301-620x.87b6.14745 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015009411
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1308/003588408x318156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007447521
223 rdf:type schema:CreativeWork
224 https://doi.org/10.2106/00004623-197860020-00014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068886761
225 rdf:type schema:CreativeWork
226 https://doi.org/10.2106/00004623-200003000-00003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068893667
227 rdf:type schema:CreativeWork
228 https://doi.org/10.2106/00004623-200511000-00012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068896996
229 rdf:type schema:CreativeWork
230 https://doi.org/10.2106/jbjs.d.02860 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068899537
231 rdf:type schema:CreativeWork
232 https://www.grid.ac/institutes/grid.412370.3 schema:alternateName Hôpital Saint-Antoine
233 schema:name Department of Orthopaedic and Trauma Surgery, Saint Antoine Hospital, 184 rue du Faubourg Saint Antoine, 75571, Paris cedex 12, France
234 rdf:type schema:Organization
 




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


...