Sonography of the painful shoulder: role of the operator’s experience View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2008-11

AUTHORS

Thomas Le Corroller, Michel Cohen, Richard Aswad, Vanessa Pauly, Pierre Champsaur

ABSTRACT

OBJECTIVE: The aim of our study was to determine the role of the operator's experience in the sonographic evaluation of the painful shoulder and to validate assumptions about its technical performance in routine practice. MATERIALS AND METHODS: Two radiologists, respectively standard and expert sonographic operators, independently and prospectively scanned 65 patients with clinical suspicion of rotator cuff lesion. Magnetic resonance arthrography was the reference standard. RESULTS: The sensitivity of the expert ultrasound operator was 95.3% for full-thickness rotator cuff tears (41/43), 70.6% for partial-thickness tears (12/17), 64.3% for intratendinous tears (9/14), 100% for abnormality of the long head of biceps tendon (seven of seven), 88.9% for supraspinatus tendinosis (16/18), 96.4% for subacromial bursa abnormalities (53/55), and 91.7% for acromioclavicular joint osteoarthritis (33/36). The two sonographic operators were in very good agreement about full-thickness rotator cuff tears (kappa = 0.90), supraspinatus tendinosis (kappa = 0.80), abnormalities of the long head of biceps tendon (kappa = 0.84), subacromial bursa abnormalities (kappa = 0.89), and acromioclavicular osteoarthritis (kappa = 0.81). The agreement was only moderate for partial-thickness tears (kappa = 0.63) and intratendinous tears (kappa = 0.57). CONCLUSIONS: Our results show that in moderately experienced hands as in experts' hands, sonography has a low level of interobserver variability for full-thickness rotator cuff tears. Considering partial-thickness and intratendinous rotator cuff tears, our data suggest that interobserver variability is higher. More... »

PAGES

979-986

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00256-008-0539-z

DOI

http://dx.doi.org/10.1007/s00256-008-0539-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1007339520

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/18651142


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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Clinical Competence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "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": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rotator Cuff", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rotator Cuff Injuries", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Shoulder Pain", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ultrasonography", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Sainte-Marguerite", 
          "id": "https://www.grid.ac/institutes/grid.414438.e", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, H\u00f4pital Sainte-Marguerite, 270 Boulevard de Sainte-Marguerite, 13009, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Le Corroller", 
        "givenName": "Thomas", 
        "id": "sg:person.0603057355.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603057355.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Sainte-Marguerite", 
          "id": "https://www.grid.ac/institutes/grid.414438.e", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, H\u00f4pital Sainte-Marguerite, 270 Boulevard de Sainte-Marguerite, 13009, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cohen", 
        "givenName": "Michel", 
        "id": "sg:person.01155103175.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155103175.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Service de Chirurgie Orthop\u00e9dique, Clinique Juge, 13008, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Aswad", 
        "givenName": "Richard", 
        "id": "sg:person.01153141337.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153141337.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Sainte-Marguerite", 
          "id": "https://www.grid.ac/institutes/grid.414438.e", 
          "name": [
            "D.I.M., H\u00f4pital Sainte-Marguerite, 270 Boulevard de Sainte-Marguerite, 13009, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pauly", 
        "givenName": "Vanessa", 
        "id": "sg:person.01165314622.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165314622.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "H\u00f4pital Sainte-Marguerite", 
          "id": "https://www.grid.ac/institutes/grid.414438.e", 
          "name": [
            "Service d\u2019Imagerie M\u00e9dicale, H\u00f4pital Sainte-Marguerite, 270 Boulevard de Sainte-Marguerite, 13009, Marseille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Champsaur", 
        "givenName": "Pierre", 
        "id": "sg:person.01163650115.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163650115.41"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s003300050133", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000710913", 
          "https://doi.org/10.1007/s003300050133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-005-0956-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005104922", 
          "https://doi.org/10.1007/s00256-005-0956-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-005-0956-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005104922", 
          "https://doi.org/10.1007/s00256-005-0956-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00256-007-0329-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009621442", 
          "https://doi.org/10.1007/s00256-007-0329-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2007.11.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013064014"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.262045719", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014561837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.262045719", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014561837"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/crad.1999.0374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026072313"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcu.20286", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027435146"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-001-1183-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027624132", 
          "https://doi.org/10.1007/s00330-001-1183-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jse.2005.04.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028169535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0887-2171(97)80019-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028840899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0370-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030203238", 
          "https://doi.org/10.1007/s00330-006-0370-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0370-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030203238", 
          "https://doi.org/10.1007/s00330-006-0370-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2301021517", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034016873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-004-2448-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043007327", 
          "https://doi.org/10.1007/s00330-004-2448-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-004-2448-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043007327", 
          "https://doi.org/10.1007/s00330-004-2448-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jcu.20088", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051796920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2301020418", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053450030"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/036354659202000309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063824654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/036354659202000309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063824654"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-200004000-00005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068893710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/00004623-200506000-00017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068896806"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.d.02100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.d.02100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2106/jbjs.d.02100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068899365"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.05.0528", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069297588"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.160.1.8416605", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069317657"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.183.5.1831465", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326482"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.184.6.01841768", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069326941"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2529310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069974986"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.19.3.g99ma03685", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074461374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.182.2.1489363", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1076739016"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077206049", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.197.2.7480690", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082378577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.195.2.7724773", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082480618"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2008-11", 
    "datePublishedReg": "2008-11-01", 
    "description": "OBJECTIVE: The aim of our study was to determine the role of the operator's experience in the sonographic evaluation of the painful shoulder and to validate assumptions about its technical performance in routine practice.\nMATERIALS AND METHODS: Two radiologists, respectively standard and expert sonographic operators, independently and prospectively scanned 65 patients with clinical suspicion of rotator cuff lesion. Magnetic resonance arthrography was the reference standard.\nRESULTS: The sensitivity of the expert ultrasound operator was 95.3% for full-thickness rotator cuff tears (41/43), 70.6% for partial-thickness tears (12/17), 64.3% for intratendinous tears (9/14), 100% for abnormality of the long head of biceps tendon (seven of seven), 88.9% for supraspinatus tendinosis (16/18), 96.4% for subacromial bursa abnormalities (53/55), and 91.7% for acromioclavicular joint osteoarthritis (33/36). The two sonographic operators were in very good agreement about full-thickness rotator cuff tears (kappa = 0.90), supraspinatus tendinosis (kappa = 0.80), abnormalities of the long head of biceps tendon (kappa = 0.84), subacromial bursa abnormalities (kappa = 0.89), and acromioclavicular osteoarthritis (kappa = 0.81). The agreement was only moderate for partial-thickness tears (kappa = 0.63) and intratendinous tears (kappa = 0.57).\nCONCLUSIONS: Our results show that in moderately experienced hands as in experts' hands, sonography has a low level of interobserver variability for full-thickness rotator cuff tears. Considering partial-thickness and intratendinous rotator cuff tears, our data suggest that interobserver variability is higher.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00256-008-0539-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1086201", 
        "issn": [
          "0364-2348", 
          "1432-2161"
        ], 
        "name": "Skeletal Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "37"
      }
    ], 
    "name": "Sonography of the painful shoulder: role of the operator\u2019s experience", 
    "pagination": "979-986", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "22f619d302a50ca6e85968520d1960797db4ce507a8d0b474250781cd623b7f5"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "18651142"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "7701953"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00256-008-0539-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1007339520"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00256-008-0539-z", 
      "https://app.dimensions.ai/details/publication/pub.1007339520"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:15", 
    "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_8695_00000510.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00256-008-0539-z"
  }
]
 

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/s00256-008-0539-z'

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/s00256-008-0539-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00256-008-0539-z'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00256-008-0539-z'


 

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

252 TRIPLES      21 PREDICATES      73 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00256-008-0539-z schema:about N0b259ab9074741ecb01e3677a508ea8e
2 N104407a535944022bcbd60babbb58a1b
3 N2f7ff0f71017456c95cf85dccf634fd3
4 N3c35862834bd4e4ebb233d5a34d5120c
5 N5956bf8642e1400f840f70f65e3a0dff
6 N604c364e17dc40baac8876fa2ff48528
7 N7055b79a42f6408585afd61e8ff91270
8 N73502de0730d45389545308b5d80acee
9 N75137bdf5a88470cabeff0bb46b71563
10 Na346ca7b3a804d59b71a450e9957d467
11 Na9fdbe3bd2fb411296fc094b9b469d52
12 Nab1dff06761f4131b3b83564b25656c7
13 Nb3832f8f95ee4050aeab738316f44dce
14 Nce0310937e0848c6bf2c43fddb5d73e7
15 Nde24e5d517aa41f9abbf067adb980c0d
16 anzsrc-for:11
17 anzsrc-for:1103
18 schema:author N1552fc421ccb46b29de210325b5aa49f
19 schema:citation sg:pub.10.1007/s00256-005-0956-1
20 sg:pub.10.1007/s00256-007-0329-z
21 sg:pub.10.1007/s00330-001-1183-3
22 sg:pub.10.1007/s00330-004-2448-4
23 sg:pub.10.1007/s00330-006-0370-7
24 sg:pub.10.1007/s003300050133
25 https://app.dimensions.ai/details/publication/pub.1077206049
26 https://doi.org/10.1002/jcu.20088
27 https://doi.org/10.1002/jcu.20286
28 https://doi.org/10.1016/j.ejrad.2007.11.002
29 https://doi.org/10.1016/j.jse.2005.04.008
30 https://doi.org/10.1016/s0887-2171(97)80019-4
31 https://doi.org/10.1053/crad.1999.0374
32 https://doi.org/10.1148/radiographics.19.3.g99ma03685
33 https://doi.org/10.1148/radiol.2301020418
34 https://doi.org/10.1148/radiol.2301021517
35 https://doi.org/10.1148/radiology.182.2.1489363
36 https://doi.org/10.1148/radiology.195.2.7724773
37 https://doi.org/10.1148/radiology.197.2.7480690
38 https://doi.org/10.1148/rg.262045719
39 https://doi.org/10.1177/036354659202000309
40 https://doi.org/10.2106/00004623-200004000-00005
41 https://doi.org/10.2106/00004623-200506000-00017
42 https://doi.org/10.2106/jbjs.d.02100
43 https://doi.org/10.2214/ajr.05.0528
44 https://doi.org/10.2214/ajr.160.1.8416605
45 https://doi.org/10.2214/ajr.183.5.1831465
46 https://doi.org/10.2214/ajr.184.6.01841768
47 https://doi.org/10.2307/2529310
48 schema:datePublished 2008-11
49 schema:datePublishedReg 2008-11-01
50 schema:description OBJECTIVE: The aim of our study was to determine the role of the operator's experience in the sonographic evaluation of the painful shoulder and to validate assumptions about its technical performance in routine practice. MATERIALS AND METHODS: Two radiologists, respectively standard and expert sonographic operators, independently and prospectively scanned 65 patients with clinical suspicion of rotator cuff lesion. Magnetic resonance arthrography was the reference standard. RESULTS: The sensitivity of the expert ultrasound operator was 95.3% for full-thickness rotator cuff tears (41/43), 70.6% for partial-thickness tears (12/17), 64.3% for intratendinous tears (9/14), 100% for abnormality of the long head of biceps tendon (seven of seven), 88.9% for supraspinatus tendinosis (16/18), 96.4% for subacromial bursa abnormalities (53/55), and 91.7% for acromioclavicular joint osteoarthritis (33/36). The two sonographic operators were in very good agreement about full-thickness rotator cuff tears (kappa = 0.90), supraspinatus tendinosis (kappa = 0.80), abnormalities of the long head of biceps tendon (kappa = 0.84), subacromial bursa abnormalities (kappa = 0.89), and acromioclavicular osteoarthritis (kappa = 0.81). The agreement was only moderate for partial-thickness tears (kappa = 0.63) and intratendinous tears (kappa = 0.57). CONCLUSIONS: Our results show that in moderately experienced hands as in experts' hands, sonography has a low level of interobserver variability for full-thickness rotator cuff tears. Considering partial-thickness and intratendinous rotator cuff tears, our data suggest that interobserver variability is higher.
51 schema:genre research_article
52 schema:inLanguage en
53 schema:isAccessibleForFree true
54 schema:isPartOf N5491ab33f6bf43179b8fd99fc6e10d75
55 Nce34bec2f14f4304abe27d6f51ff5c83
56 sg:journal.1086201
57 schema:name Sonography of the painful shoulder: role of the operator’s experience
58 schema:pagination 979-986
59 schema:productId N29680b2bc5044c61b8931edafe1ba0c5
60 N2ece688cf46f4765a7f35144484972de
61 N67065e7de3ca4aa59e5d62314c46fc0f
62 Nc1a7dda3057e46f1b23ddc8b9d21ea66
63 Nfff2b444a62a4512a1987b7cf6a3b8a8
64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007339520
65 https://doi.org/10.1007/s00256-008-0539-z
66 schema:sdDatePublished 2019-04-11T00:15
67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
68 schema:sdPublisher N886b8e81017a4a0b803d0e0c57705e4a
69 schema:url http://link.springer.com/10.1007%2Fs00256-008-0539-z
70 sgo:license sg:explorer/license/
71 sgo:sdDataset articles
72 rdf:type schema:ScholarlyArticle
73 N0b259ab9074741ecb01e3677a508ea8e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Adult
75 rdf:type schema:DefinedTerm
76 N104407a535944022bcbd60babbb58a1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Clinical Competence
78 rdf:type schema:DefinedTerm
79 N1552fc421ccb46b29de210325b5aa49f rdf:first sg:person.0603057355.66
80 rdf:rest N2773accf43544ed5a1a9ee918e6d0d5e
81 N2773accf43544ed5a1a9ee918e6d0d5e rdf:first sg:person.01155103175.32
82 rdf:rest Nf01ddd740627462ebc37f683ef730d2f
83 N29680b2bc5044c61b8931edafe1ba0c5 schema:name dimensions_id
84 schema:value pub.1007339520
85 rdf:type schema:PropertyValue
86 N2ece688cf46f4765a7f35144484972de schema:name nlm_unique_id
87 schema:value 7701953
88 rdf:type schema:PropertyValue
89 N2f7ff0f71017456c95cf85dccf634fd3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Sensitivity and Specificity
91 rdf:type schema:DefinedTerm
92 N3c35862834bd4e4ebb233d5a34d5120c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Rotator Cuff
94 rdf:type schema:DefinedTerm
95 N4d3678689659439086c524c89de4405b rdf:first sg:person.01163650115.41
96 rdf:rest rdf:nil
97 N52b2e31da63d42e8a564c919f2ed8569 schema:name Service de Chirurgie Orthopédique, Clinique Juge, 13008, Marseille, France
98 rdf:type schema:Organization
99 N5491ab33f6bf43179b8fd99fc6e10d75 schema:issueNumber 11
100 rdf:type schema:PublicationIssue
101 N5956bf8642e1400f840f70f65e3a0dff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Rotator Cuff Injuries
103 rdf:type schema:DefinedTerm
104 N604c364e17dc40baac8876fa2ff48528 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Aged
106 rdf:type schema:DefinedTerm
107 N67065e7de3ca4aa59e5d62314c46fc0f schema:name doi
108 schema:value 10.1007/s00256-008-0539-z
109 rdf:type schema:PropertyValue
110 N7055b79a42f6408585afd61e8ff91270 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Observer Variation
112 rdf:type schema:DefinedTerm
113 N73502de0730d45389545308b5d80acee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Middle Aged
115 rdf:type schema:DefinedTerm
116 N75137bdf5a88470cabeff0bb46b71563 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Male
118 rdf:type schema:DefinedTerm
119 N886b8e81017a4a0b803d0e0c57705e4a schema:name Springer Nature - SN SciGraph project
120 rdf:type schema:Organization
121 Na346ca7b3a804d59b71a450e9957d467 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Prospective Studies
123 rdf:type schema:DefinedTerm
124 Na9fdbe3bd2fb411296fc094b9b469d52 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Magnetic Resonance Imaging
126 rdf:type schema:DefinedTerm
127 Nab1dff06761f4131b3b83564b25656c7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Ultrasonography
129 rdf:type schema:DefinedTerm
130 Nb3832f8f95ee4050aeab738316f44dce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Female
132 rdf:type schema:DefinedTerm
133 Nc1a7dda3057e46f1b23ddc8b9d21ea66 schema:name pubmed_id
134 schema:value 18651142
135 rdf:type schema:PropertyValue
136 Nce0310937e0848c6bf2c43fddb5d73e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Humans
138 rdf:type schema:DefinedTerm
139 Nce34bec2f14f4304abe27d6f51ff5c83 schema:volumeNumber 37
140 rdf:type schema:PublicationVolume
141 Nde24e5d517aa41f9abbf067adb980c0d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Shoulder Pain
143 rdf:type schema:DefinedTerm
144 Nf01ddd740627462ebc37f683ef730d2f rdf:first sg:person.01153141337.89
145 rdf:rest Nf871824da6024af08ea257beff1f16ab
146 Nf871824da6024af08ea257beff1f16ab rdf:first sg:person.01165314622.51
147 rdf:rest N4d3678689659439086c524c89de4405b
148 Nfff2b444a62a4512a1987b7cf6a3b8a8 schema:name readcube_id
149 schema:value 22f619d302a50ca6e85968520d1960797db4ce507a8d0b474250781cd623b7f5
150 rdf:type schema:PropertyValue
151 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
152 schema:name Medical and Health Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
155 schema:name Clinical Sciences
156 rdf:type schema:DefinedTerm
157 sg:journal.1086201 schema:issn 0364-2348
158 1432-2161
159 schema:name Skeletal Radiology
160 rdf:type schema:Periodical
161 sg:person.01153141337.89 schema:affiliation N52b2e31da63d42e8a564c919f2ed8569
162 schema:familyName Aswad
163 schema:givenName Richard
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01153141337.89
165 rdf:type schema:Person
166 sg:person.01155103175.32 schema:affiliation https://www.grid.ac/institutes/grid.414438.e
167 schema:familyName Cohen
168 schema:givenName Michel
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155103175.32
170 rdf:type schema:Person
171 sg:person.01163650115.41 schema:affiliation https://www.grid.ac/institutes/grid.414438.e
172 schema:familyName Champsaur
173 schema:givenName Pierre
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163650115.41
175 rdf:type schema:Person
176 sg:person.01165314622.51 schema:affiliation https://www.grid.ac/institutes/grid.414438.e
177 schema:familyName Pauly
178 schema:givenName Vanessa
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165314622.51
180 rdf:type schema:Person
181 sg:person.0603057355.66 schema:affiliation https://www.grid.ac/institutes/grid.414438.e
182 schema:familyName Le Corroller
183 schema:givenName Thomas
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0603057355.66
185 rdf:type schema:Person
186 sg:pub.10.1007/s00256-005-0956-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005104922
187 https://doi.org/10.1007/s00256-005-0956-1
188 rdf:type schema:CreativeWork
189 sg:pub.10.1007/s00256-007-0329-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1009621442
190 https://doi.org/10.1007/s00256-007-0329-z
191 rdf:type schema:CreativeWork
192 sg:pub.10.1007/s00330-001-1183-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027624132
193 https://doi.org/10.1007/s00330-001-1183-3
194 rdf:type schema:CreativeWork
195 sg:pub.10.1007/s00330-004-2448-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043007327
196 https://doi.org/10.1007/s00330-004-2448-4
197 rdf:type schema:CreativeWork
198 sg:pub.10.1007/s00330-006-0370-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030203238
199 https://doi.org/10.1007/s00330-006-0370-7
200 rdf:type schema:CreativeWork
201 sg:pub.10.1007/s003300050133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000710913
202 https://doi.org/10.1007/s003300050133
203 rdf:type schema:CreativeWork
204 https://app.dimensions.ai/details/publication/pub.1077206049 schema:CreativeWork
205 https://doi.org/10.1002/jcu.20088 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051796920
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1002/jcu.20286 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027435146
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1016/j.ejrad.2007.11.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013064014
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.jse.2005.04.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028169535
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/s0887-2171(97)80019-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028840899
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1053/crad.1999.0374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026072313
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1148/radiographics.19.3.g99ma03685 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074461374
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1148/radiol.2301020418 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053450030
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1148/radiol.2301021517 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034016873
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1148/radiology.182.2.1489363 schema:sameAs https://app.dimensions.ai/details/publication/pub.1076739016
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1148/radiology.195.2.7724773 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082480618
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1148/radiology.197.2.7480690 schema:sameAs https://app.dimensions.ai/details/publication/pub.1082378577
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1148/rg.262045719 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014561837
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1177/036354659202000309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063824654
232 rdf:type schema:CreativeWork
233 https://doi.org/10.2106/00004623-200004000-00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068893710
234 rdf:type schema:CreativeWork
235 https://doi.org/10.2106/00004623-200506000-00017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068896806
236 rdf:type schema:CreativeWork
237 https://doi.org/10.2106/jbjs.d.02100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068899365
238 rdf:type schema:CreativeWork
239 https://doi.org/10.2214/ajr.05.0528 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069297588
240 rdf:type schema:CreativeWork
241 https://doi.org/10.2214/ajr.160.1.8416605 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069317657
242 rdf:type schema:CreativeWork
243 https://doi.org/10.2214/ajr.183.5.1831465 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326482
244 rdf:type schema:CreativeWork
245 https://doi.org/10.2214/ajr.184.6.01841768 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069326941
246 rdf:type schema:CreativeWork
247 https://doi.org/10.2307/2529310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069974986
248 rdf:type schema:CreativeWork
249 https://www.grid.ac/institutes/grid.414438.e schema:alternateName Hôpital Sainte-Marguerite
250 schema:name D.I.M., Hôpital Sainte-Marguerite, 270 Boulevard de Sainte-Marguerite, 13009, Marseille, France
251 Service d’Imagerie Médicale, Hôpital Sainte-Marguerite, 270 Boulevard de Sainte-Marguerite, 13009, Marseille, France
252 rdf:type schema:Organization
 




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


...