Is CT or MRI the optimal imaging investigation for the diagnosis of large vestibular aqueduct syndrome and large endolymphatic sac ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

S. E. J. Connor, C. Dudau, I. Pai, M. Gaganasiou

ABSTRACT

BACKGROUND AND PURPOSE: We explored whether there was a difference between measurements obtained with CT and MRI for the diagnosis of large vestibular aqueduct syndrome or large endolymphatic sac anomaly, and whether this influenced diagnosis on the basis of previously published threshold values (Valvassori and Cincinnati). We also investigated whether isolated dilated extra-osseous endolymphatic sac occurred on MRI. Secondary objectives were to compare inter-observer reproducibility for the measurements, and to investigate any mismatch between the diagnoses using the different criteria. MATERIALS/METHODS: Subjects diagnosed with large vestibular aqueduct syndrome or large endolymphatic sac anomalies were retrospectively analysed. For subjects with both CT and MRI available (n = 58), two independent observers measured the midpoint and operculum widths. For subjects with MRI (± CT) available (n = 84), extra-osseous sac widths were also measured. Results There was no significant difference between the width measurements obtained with CT versus MRI. CT alone diagnosed large vestibular aqueduct syndrome or large endolymphatic sac anomalies in 2/58 (Valvassori) and 4/58 (Cincinnati), whilst MRI alone diagnosed them in 2/58 (Valvassori). There was 93% CT/MRI diagnostic agreement using both criteria. Only 1/84 demonstrated isolated extra-osseous endolymphatic sac dilatation. The MRI-based LVAS/LESA diagnosis was less dependent on which criteria were used. Midpoint measurements are more reproducible between observers and between CT/MR imaging modalities. CONCLUSION: Supplementing MRI with CT results in additional diagnoses using either criterion, however, there is no net increased diagnostic sensitivity for CT versus MRI when applying the Valvassori criteria. Isolated enlargement of the extra-osseous endolymphatic sac is rare. More... »

PAGES

693-702

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00405-019-05279-x

DOI

http://dx.doi.org/10.1007/s00405-019-05279-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111362523

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30635710


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/2008/1109", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Neurosciences", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "King's College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.46699.34", 
          "name": [
            "School of Biomedical Engineering and Imaging Sciences Clinical Academic Group, King\u2019s College, London, UK", 
            "Department of Radiology, Guy\u2019s and St. Thomas\u2019 Hospital, London, UK", 
            "Department of Neuroradiology, Ruskin Wing, Kings College Hospital, Denmark Hill, SE5 9RS, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Connor", 
        "givenName": "S. E. J.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College Hospital", 
          "id": "https://www.grid.ac/institutes/grid.46699.34", 
          "name": [
            "Department of Radiology, Guy\u2019s and St. Thomas\u2019 Hospital, London, UK", 
            "Department of Neuroradiology, Ruskin Wing, Kings College Hospital, Denmark Hill, SE5 9RS, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dudau", 
        "givenName": "C.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St Thomas' Hospital", 
          "id": "https://www.grid.ac/institutes/grid.425213.3", 
          "name": [
            "Department of Ear, Nose and Throat Surgery, Guy\u2019s and St Thomas\u2019 Hospital, London, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pai", 
        "givenName": "I.", 
        "id": "sg:person.01323225610.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323225610.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "251 General and VA Air Force Hospital, Athens, Greece"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gaganasiou", 
        "givenName": "M.", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s0140-6736(12)60815-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004307527"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.10101157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004354929"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a4735", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006755330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a4735", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006755330"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022215112000606", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008469311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.22083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011751942"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.323115073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013288754"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mao.0000185049.61770.da", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014265760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mao.0000185049.61770.da", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014265760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mao.0000185049.61770.da", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014265760"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.24059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020511811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.24059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020511811"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.21278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023334557"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijporl.2013.01.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025078751"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2005.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025267049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2005.09.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025267049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ijporl.2013.03.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027006808"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028269018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a0495", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030788471"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiographics.10.5.2217973", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032399953"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.25684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033149685"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mao.0000253285.40995.91", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039782326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.mao.0000253285.40995.91", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039782326"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/archotol.132.2.186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041493491"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1288/00005537-198912000-00006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048690866"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2006.12.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051858168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2006.12.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051858168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.otohns.2006.12.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051858168"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0194599814555837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063774453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0194599814555837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063774453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0194599814555837", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063774453"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1227/00006123-199502000-00028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064433390"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7860/jcdr/2016/18033.8592", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074083478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074515711", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.213.3.r99dc05819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1074556824"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077807644", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/lary.1978.88.5.723", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079531451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080009069", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082802443", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083037772", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jamaoto.2016.4522", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084006114"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.amjoto.2017.06.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086123474"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0022215118001597", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1107090989"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "BACKGROUND AND PURPOSE: We explored whether there was a difference between measurements obtained with CT and MRI for the diagnosis of large vestibular aqueduct syndrome or large endolymphatic sac anomaly, and whether this influenced diagnosis on the basis of previously published threshold values (Valvassori and Cincinnati). We also investigated whether isolated dilated extra-osseous endolymphatic sac occurred on MRI. Secondary objectives were to compare inter-observer reproducibility for the measurements, and to investigate any mismatch between the diagnoses using the different criteria.\nMATERIALS/METHODS: Subjects diagnosed with large vestibular aqueduct syndrome or large endolymphatic sac anomalies were retrospectively analysed. For subjects with both CT and MRI available (n\u2009=\u200958), two independent observers measured the midpoint and operculum widths. For subjects with MRI (\u00b1 CT) available (n\u2009=\u200984), extra-osseous sac widths were also measured. Results There was no significant difference between the width measurements obtained with CT versus MRI. CT alone diagnosed large vestibular aqueduct syndrome or large endolymphatic sac anomalies in 2/58 (Valvassori) and 4/58 (Cincinnati), whilst MRI alone diagnosed them in 2/58 (Valvassori). There was 93% CT/MRI diagnostic agreement using both criteria. Only 1/84 demonstrated isolated extra-osseous endolymphatic sac dilatation. The MRI-based LVAS/LESA diagnosis was less dependent on which criteria were used. Midpoint measurements are more reproducible between observers and between CT/MR imaging modalities.\nCONCLUSION: Supplementing MRI with CT results in additional diagnoses using either criterion, however, there is no net increased diagnostic sensitivity for CT versus MRI when applying the Valvassori criteria. Isolated enlargement of the extra-osseous endolymphatic sac is rare.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00405-019-05279-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1004761", 
        "issn": [
          "0937-4477", 
          "1434-4726"
        ], 
        "name": "European Archives of Oto-Rhino-Laryngology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "276"
      }
    ], 
    "name": "Is CT or MRI the optimal imaging investigation for the diagnosis of large vestibular aqueduct syndrome and large endolymphatic sac anomaly?", 
    "pagination": "693-702", 
    "productId": [
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00405-019-05279-x"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "1f1086a4af2d32403c794910cc9c9e70b3dc880e613a664d7d870a5ced181b9d"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111362523"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9002937"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30635710"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00405-019-05279-x", 
      "https://app.dimensions.ai/details/publication/pub.1111362523"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-15T08:59", 
    "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/v90/0000000375_0000000375/records_91429_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00405-019-05279-x"
  }
]
 

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/s00405-019-05279-x'

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/s00405-019-05279-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00405-019-05279-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00405-019-05279-x'


 

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

188 TRIPLES      21 PREDICATES      62 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00405-019-05279-x schema:about anzsrc-for:11
2 anzsrc-for:1109
3 schema:author N99620f1267074335bfa2839737a2f7c8
4 schema:citation https://app.dimensions.ai/details/publication/pub.1074515711
5 https://app.dimensions.ai/details/publication/pub.1077807644
6 https://app.dimensions.ai/details/publication/pub.1080009069
7 https://app.dimensions.ai/details/publication/pub.1082802443
8 https://app.dimensions.ai/details/publication/pub.1083037772
9 https://doi.org/10.1001/archotol.132.2.186
10 https://doi.org/10.1001/jamaoto.2016.4522
11 https://doi.org/10.1002/lary.1978.88.5.723
12 https://doi.org/10.1002/lary.21278
13 https://doi.org/10.1002/lary.22083
14 https://doi.org/10.1002/lary.24059
15 https://doi.org/10.1002/lary.25684
16 https://doi.org/10.1016/j.amjoto.2017.06.010
17 https://doi.org/10.1016/j.ejrad.2005.09.005
18 https://doi.org/10.1016/j.ijporl.2013.01.004
19 https://doi.org/10.1016/j.ijporl.2013.03.015
20 https://doi.org/10.1016/j.otohns.2006.12.011
21 https://doi.org/10.1016/s0140-6736(12)60815-0
22 https://doi.org/10.1017/s0022215112000606
23 https://doi.org/10.1017/s0022215118001597
24 https://doi.org/10.1097/01.mao.0000185049.61770.da
25 https://doi.org/10.1097/01.mao.0000253285.40995.91
26 https://doi.org/10.1148/radiographics.10.5.2217973
27 https://doi.org/10.1148/radiol.10101157
28 https://doi.org/10.1148/radiology.213.3.r99dc05819
29 https://doi.org/10.1148/rg.323115073
30 https://doi.org/10.1177/0194599814555837
31 https://doi.org/10.1227/00006123-199502000-00028
32 https://doi.org/10.1288/00005537-198912000-00006
33 https://doi.org/10.3174/ajnr.a0495
34 https://doi.org/10.3174/ajnr.a1571
35 https://doi.org/10.3174/ajnr.a4735
36 https://doi.org/10.7860/jcdr/2016/18033.8592
37 schema:datePublished 2019-03
38 schema:datePublishedReg 2019-03-01
39 schema:description BACKGROUND AND PURPOSE: We explored whether there was a difference between measurements obtained with CT and MRI for the diagnosis of large vestibular aqueduct syndrome or large endolymphatic sac anomaly, and whether this influenced diagnosis on the basis of previously published threshold values (Valvassori and Cincinnati). We also investigated whether isolated dilated extra-osseous endolymphatic sac occurred on MRI. Secondary objectives were to compare inter-observer reproducibility for the measurements, and to investigate any mismatch between the diagnoses using the different criteria. MATERIALS/METHODS: Subjects diagnosed with large vestibular aqueduct syndrome or large endolymphatic sac anomalies were retrospectively analysed. For subjects with both CT and MRI available (n = 58), two independent observers measured the midpoint and operculum widths. For subjects with MRI (± CT) available (n = 84), extra-osseous sac widths were also measured. Results There was no significant difference between the width measurements obtained with CT versus MRI. CT alone diagnosed large vestibular aqueduct syndrome or large endolymphatic sac anomalies in 2/58 (Valvassori) and 4/58 (Cincinnati), whilst MRI alone diagnosed them in 2/58 (Valvassori). There was 93% CT/MRI diagnostic agreement using both criteria. Only 1/84 demonstrated isolated extra-osseous endolymphatic sac dilatation. The MRI-based LVAS/LESA diagnosis was less dependent on which criteria were used. Midpoint measurements are more reproducible between observers and between CT/MR imaging modalities. CONCLUSION: Supplementing MRI with CT results in additional diagnoses using either criterion, however, there is no net increased diagnostic sensitivity for CT versus MRI when applying the Valvassori criteria. Isolated enlargement of the extra-osseous endolymphatic sac is rare.
40 schema:genre research_article
41 schema:inLanguage en
42 schema:isAccessibleForFree false
43 schema:isPartOf N30976c75c05f424ebceb74be34d3e6bd
44 Ne6251d66cb1841fc85436a9c2637aab6
45 sg:journal.1004761
46 schema:name Is CT or MRI the optimal imaging investigation for the diagnosis of large vestibular aqueduct syndrome and large endolymphatic sac anomaly?
47 schema:pagination 693-702
48 schema:productId N0c8030904ed241cab1bab8a65b60d329
49 N12fbddba513c4f8699b51139824e152b
50 N1dbd36fb73714ca8bc76e867c5fb426f
51 Nc542ef4fca4e4eeba614513ee40018b9
52 Nc85efe64de7e4b82a36bc9901cadad46
53 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111362523
54 https://doi.org/10.1007/s00405-019-05279-x
55 schema:sdDatePublished 2019-04-15T08:59
56 schema:sdLicense https://scigraph.springernature.com/explorer/license/
57 schema:sdPublisher Nc02776b9fdec4a5c9166ca15f5f23000
58 schema:url https://link.springer.com/10.1007%2Fs00405-019-05279-x
59 sgo:license sg:explorer/license/
60 sgo:sdDataset articles
61 rdf:type schema:ScholarlyArticle
62 N0c8030904ed241cab1bab8a65b60d329 schema:name dimensions_id
63 schema:value pub.1111362523
64 rdf:type schema:PropertyValue
65 N12fbddba513c4f8699b51139824e152b schema:name pubmed_id
66 schema:value 30635710
67 rdf:type schema:PropertyValue
68 N1dbd36fb73714ca8bc76e867c5fb426f schema:name doi
69 schema:value 10.1007/s00405-019-05279-x
70 rdf:type schema:PropertyValue
71 N30976c75c05f424ebceb74be34d3e6bd schema:issueNumber 3
72 rdf:type schema:PublicationIssue
73 N35d996890eee43b7bf03bcadeb98e4eb rdf:first N5d2a4f2001024258a8e8c85a6bb9a290
74 rdf:rest rdf:nil
75 N3c2714940cda4f548622cec995384fc9 schema:affiliation https://www.grid.ac/institutes/grid.46699.34
76 schema:familyName Connor
77 schema:givenName S. E. J.
78 rdf:type schema:Person
79 N5d2a4f2001024258a8e8c85a6bb9a290 schema:affiliation Nd27fb3a505a84884a9e931b6dbec053a
80 schema:familyName Gaganasiou
81 schema:givenName M.
82 rdf:type schema:Person
83 N99620f1267074335bfa2839737a2f7c8 rdf:first N3c2714940cda4f548622cec995384fc9
84 rdf:rest N9a82623db1094682b8120e158cdf3afa
85 N9a82623db1094682b8120e158cdf3afa rdf:first Ne1474fe2d7824d319484392eb69789ed
86 rdf:rest Ne8f454d3b71e4ecea7590828e6e7e1c1
87 Nc02776b9fdec4a5c9166ca15f5f23000 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 Nc542ef4fca4e4eeba614513ee40018b9 schema:name readcube_id
90 schema:value 1f1086a4af2d32403c794910cc9c9e70b3dc880e613a664d7d870a5ced181b9d
91 rdf:type schema:PropertyValue
92 Nc85efe64de7e4b82a36bc9901cadad46 schema:name nlm_unique_id
93 schema:value 9002937
94 rdf:type schema:PropertyValue
95 Nd27fb3a505a84884a9e931b6dbec053a schema:name 251 General and VA Air Force Hospital, Athens, Greece
96 rdf:type schema:Organization
97 Ne1474fe2d7824d319484392eb69789ed schema:affiliation https://www.grid.ac/institutes/grid.46699.34
98 schema:familyName Dudau
99 schema:givenName C.
100 rdf:type schema:Person
101 Ne6251d66cb1841fc85436a9c2637aab6 schema:volumeNumber 276
102 rdf:type schema:PublicationVolume
103 Ne8f454d3b71e4ecea7590828e6e7e1c1 rdf:first sg:person.01323225610.09
104 rdf:rest N35d996890eee43b7bf03bcadeb98e4eb
105 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
106 schema:name Medical and Health Sciences
107 rdf:type schema:DefinedTerm
108 anzsrc-for:1109 schema:inDefinedTermSet anzsrc-for:
109 schema:name Neurosciences
110 rdf:type schema:DefinedTerm
111 sg:journal.1004761 schema:issn 0937-4477
112 1434-4726
113 schema:name European Archives of Oto-Rhino-Laryngology
114 rdf:type schema:Periodical
115 sg:person.01323225610.09 schema:affiliation https://www.grid.ac/institutes/grid.425213.3
116 schema:familyName Pai
117 schema:givenName I.
118 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01323225610.09
119 rdf:type schema:Person
120 https://app.dimensions.ai/details/publication/pub.1074515711 schema:CreativeWork
121 https://app.dimensions.ai/details/publication/pub.1077807644 schema:CreativeWork
122 https://app.dimensions.ai/details/publication/pub.1080009069 schema:CreativeWork
123 https://app.dimensions.ai/details/publication/pub.1082802443 schema:CreativeWork
124 https://app.dimensions.ai/details/publication/pub.1083037772 schema:CreativeWork
125 https://doi.org/10.1001/archotol.132.2.186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041493491
126 rdf:type schema:CreativeWork
127 https://doi.org/10.1001/jamaoto.2016.4522 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084006114
128 rdf:type schema:CreativeWork
129 https://doi.org/10.1002/lary.1978.88.5.723 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079531451
130 rdf:type schema:CreativeWork
131 https://doi.org/10.1002/lary.21278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023334557
132 rdf:type schema:CreativeWork
133 https://doi.org/10.1002/lary.22083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011751942
134 rdf:type schema:CreativeWork
135 https://doi.org/10.1002/lary.24059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020511811
136 rdf:type schema:CreativeWork
137 https://doi.org/10.1002/lary.25684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033149685
138 rdf:type schema:CreativeWork
139 https://doi.org/10.1016/j.amjoto.2017.06.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086123474
140 rdf:type schema:CreativeWork
141 https://doi.org/10.1016/j.ejrad.2005.09.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025267049
142 rdf:type schema:CreativeWork
143 https://doi.org/10.1016/j.ijporl.2013.01.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025078751
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.ijporl.2013.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027006808
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.otohns.2006.12.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051858168
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/s0140-6736(12)60815-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004307527
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1017/s0022215112000606 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008469311
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1017/s0022215118001597 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107090989
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1097/01.mao.0000185049.61770.da schema:sameAs https://app.dimensions.ai/details/publication/pub.1014265760
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1097/01.mao.0000253285.40995.91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039782326
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1148/radiographics.10.5.2217973 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032399953
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1148/radiol.10101157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004354929
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1148/radiology.213.3.r99dc05819 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074556824
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1148/rg.323115073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013288754
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1177/0194599814555837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063774453
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1227/00006123-199502000-00028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064433390
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1288/00005537-198912000-00006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048690866
172 rdf:type schema:CreativeWork
173 https://doi.org/10.3174/ajnr.a0495 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030788471
174 rdf:type schema:CreativeWork
175 https://doi.org/10.3174/ajnr.a1571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028269018
176 rdf:type schema:CreativeWork
177 https://doi.org/10.3174/ajnr.a4735 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006755330
178 rdf:type schema:CreativeWork
179 https://doi.org/10.7860/jcdr/2016/18033.8592 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074083478
180 rdf:type schema:CreativeWork
181 https://www.grid.ac/institutes/grid.425213.3 schema:alternateName St Thomas' Hospital
182 schema:name Department of Ear, Nose and Throat Surgery, Guy’s and St Thomas’ Hospital, London, UK
183 rdf:type schema:Organization
184 https://www.grid.ac/institutes/grid.46699.34 schema:alternateName King's College Hospital
185 schema:name Department of Neuroradiology, Ruskin Wing, Kings College Hospital, Denmark Hill, SE5 9RS, London, UK
186 Department of Radiology, Guy’s and St. Thomas’ Hospital, London, UK
187 School of Biomedical Engineering and Imaging Sciences Clinical Academic Group, King’s College, London, UK
188 rdf:type schema:Organization
 




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


...