Can visual analogue scale be used in radiologic subjective image quality assessment? View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-10

AUTHORS

Kathrine Rydén Suther, Einar Hopp, Bjarne Smevik, Arnt Eltvedt Fiane, Harald Lauritz Lindberg, Stig Larsen, Charlotte de Lange

ABSTRACT

BACKGROUND: Assessment of qualitative or subjective image quality in radiology is traditionally performed using a fixed-point scale even though reproducibility has proved challenging. OBJECTIVE: Image quality of 3-T coronary magnetic resonance (MR) angiography was evaluated using three scoring methods, hypothesizing that a continuous scoring scale like visual analogue scale would improve the assessment. MATERIALS AND METHODS: Adolescents corrected for transposition of the great arteries with arterial switch operation, ages 9-15 years (n=12), and healthy, age-matched controls (n=12), were examined with 3-D steady-state free precession magnetic resonance imaging. Image quality of the coronary artery origin was evaluated by using a fixed-point scale (1-4), visual analogue scale of 10 cm and a visual analogue scale with reference points (figurative visual analogue scale). Satisfactory image quality was set to a fixed-point scale 3=visual analogue scale/figurative visual analogue scale 6.6 cm. Statistical analysis was performed using Cohen kappa coefficient and agreement index. RESULTS: The mean interobserver scores for the fixed-point scale, visual analogue scale and figurative visual analogue scale were, respectively, in the left main stem 2.8, 5.7, 7.0; left anterior descending artery 2.8, 4.7, 6.6; circumflex artery 2.5, 4.5, 6.2, and right coronary artery 3.2, 6.3, 7.7. Scoring with a fixed-point scale gave an intraobserver κ of 0.52-0.77 while interobserver κ was lacking. For visual analogue scale and figurative visual analogue scale, intraobserver agreement indices were, respectively, 0.08-0.58 and 0.43-0.71 and interobserver agreement indices were up to 0.5 and 0.65, respectively. CONCLUSION: Qualitative image quality evaluation with coronary 3-D steady-state free precession MR angiography, using a visual analogue scale with reference points, had better reproducibility compared to a fixed-point scale and visual analogue scale. Image quality, being a continuum, may be better determined by this method. More... »

PAGES

1567-1575

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00247-018-4187-8

DOI

http://dx.doi.org/10.1007/s00247-018-4187-8

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105306321

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29974179


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/2008/1701", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/17", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Psychology and Cognitive Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "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": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Quality of Health Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transposition of Great Vessels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Visual Analog Scale", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, P.O. Box 4950, Nydalen, 0424, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Suther", 
        "givenName": "Kathrine Ryd\u00e9n", 
        "id": "sg:person.016667264636.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016667264636.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, P.O. Box 4950, Nydalen, 0424, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hopp", 
        "givenName": "Einar", 
        "id": "sg:person.0736103320.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736103320.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, P.O. Box 4950, Nydalen, 0424, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Smevik", 
        "givenName": "Bjarne", 
        "id": "sg:person.01130545021.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130545021.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Faculty of Medicine, University of Oslo, Oslo, Norway", 
            "Department of Cardiothoracic Surgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fiane", 
        "givenName": "Arnt Eltvedt", 
        "id": "sg:person.0661062670.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661062670.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Department of Cardiothoracic Surgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lindberg", 
        "givenName": "Harald Lauritz", 
        "id": "sg:person.01161620075.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161620075.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Norwegian University of Life Sciences", 
          "id": "https://www.grid.ac/institutes/grid.19477.3c", 
          "name": [
            "Faculty of Veterinary Medicine, Centre for Epidemiology and Biostatistics, Norwegian University of Life Sciences, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Larsen", 
        "givenName": "Stig", 
        "id": "sg:person.013272512512.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013272512512.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Oslo University Hospital", 
          "id": "https://www.grid.ac/institutes/grid.55325.34", 
          "name": [
            "Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, P.O. Box 4950, Nydalen, 0424, Oslo, Norway"
          ], 
          "type": "Organization"
        }, 
        "familyName": "de Lange", 
        "givenName": "Charlotte", 
        "id": "sg:person.013155756536.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013155756536.66"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1161/circulationaha.113.005425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001367289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.113.005425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001367289"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000036745.19310.bb", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003953556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s1047951106001041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005312529"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bja/aen103", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005521688"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365528909089248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006635900"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00247-014-3088-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017130485", 
          "https://doi.org/10.1007/s00247-014-3088-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365529009095513", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019133384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.346140048", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021079704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-014-0098-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022368719", 
          "https://doi.org/10.1186/s12968-014-0098-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12968-014-0098-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022368719", 
          "https://doi.org/10.1186/s12968-014-0098-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7150/thno.6815", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025099762"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2342032059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025446337"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-230x-4-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033090702", 
          "https://doi.org/10.1186/1471-230x-4-9"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2010.11.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037079931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/00365520802400859", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037278218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/humupd/dmu046", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038424215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/ehjci/jeu129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044066318"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.0000134282.35183.ad", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045409422"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1532-429x-15-55", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047917540", 
          "https://doi.org/10.1186/1532-429x-15-55"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1757-7241-22-15", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048524523", 
          "https://doi.org/10.1186/1757-7241-22-15"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/hrt.2008.160309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053432201"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/biomet/52.3-4.591", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059417484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2016151621", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079236158"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2016151281", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079257218"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2016152514", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079272582"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-017-4929-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090578490", 
          "https://doi.org/10.1007/s00330-017-4929-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-017-4929-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1090578490", 
          "https://doi.org/10.1007/s00330-017-4929-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471249688", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098661133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/0471249688", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098661133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2987937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102979304"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2987937", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1102979304"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-10", 
    "datePublishedReg": "2018-10-01", 
    "description": "BACKGROUND: Assessment of qualitative or subjective image quality in radiology is traditionally performed using a fixed-point scale even though reproducibility has proved challenging.\nOBJECTIVE: Image quality of 3-T coronary magnetic resonance (MR) angiography was evaluated using three scoring methods, hypothesizing that a continuous scoring scale like visual analogue scale would improve the assessment.\nMATERIALS AND METHODS: Adolescents corrected for transposition of the great arteries with arterial switch operation, ages 9-15\u00a0years (n=12), and healthy, age-matched controls (n=12), were examined with 3-D steady-state free precession magnetic resonance imaging. Image quality of the coronary artery origin was evaluated by using a fixed-point scale (1-4), visual analogue scale of 10\u00a0cm and a visual analogue scale with reference points (figurative visual analogue scale). Satisfactory image quality was set to a fixed-point scale 3=visual analogue scale/figurative visual analogue scale 6.6\u00a0cm. Statistical analysis was performed using Cohen kappa coefficient and agreement index.\nRESULTS: The mean interobserver scores for the fixed-point scale, visual analogue scale and figurative visual analogue scale were, respectively, in the left main stem 2.8, 5.7, 7.0; left anterior descending artery 2.8, 4.7, 6.6; circumflex artery 2.5, 4.5, 6.2, and right coronary artery 3.2, 6.3, 7.7. Scoring with a fixed-point scale gave an intraobserver \u03ba of 0.52-0.77 while interobserver \u03ba was lacking. For visual analogue scale and figurative visual analogue scale, intraobserver agreement indices were, respectively, 0.08-0.58 and 0.43-0.71 and interobserver agreement indices were up to 0.5 and 0.65, respectively.\nCONCLUSION: Qualitative image quality evaluation with coronary 3-D steady-state free precession MR angiography, using a visual analogue scale with reference points, had better reproducibility compared to a fixed-point scale and visual analogue scale. Image quality, being a continuum, may be better determined by this method.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00247-018-4187-8", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1016713", 
        "issn": [
          "0301-0449", 
          "1432-1998"
        ], 
        "name": "Pediatric Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "48"
      }
    ], 
    "name": "Can visual analogue scale be used in radiologic subjective image quality assessment?", 
    "pagination": "1567-1575", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6c4aa81fb0fe297c058a2fd53a607acbb9aa5f7924f81f3a09bd33066765b3fc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29974179"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0365332"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00247-018-4187-8"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105306321"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00247-018-4187-8", 
      "https://app.dimensions.ai/details/publication/pub.1105306321"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:23", 
    "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/v90/0000000362_0000000362/records_87094_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00247-018-4187-8"
  }
]
 

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/s00247-018-4187-8'

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/s00247-018-4187-8'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00247-018-4187-8'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00247-018-4187-8'


 

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

250 TRIPLES      21 PREDICATES      68 URIs      32 LITERALS      20 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00247-018-4187-8 schema:about N0379e38b3ff54e7cbdab854872dc4512
2 N15080cd5c4b945a0a02f97ef8081b510
3 N4735f66bccf84f85afc2f8f77458c869
4 N52ddaf4a3a664b96b3459c44d0155326
5 N5b9baa873ba9430f84414d9badcc423d
6 N5c5cb60e18414fbf8c96371cb6a1fac8
7 Na2fb0a0a52774aacb60fe3331e8c6077
8 Na417649cd6e945259b40648346389b31
9 Na4c7ca00c7764d62857d18532c818cff
10 Nde28ad5ea2a248f195965bdfd5b28053
11 Nff04db8af1ad417d8d2a4a1bf5ddbf98
12 anzsrc-for:17
13 anzsrc-for:1701
14 schema:author N5ee9273fd786423c9d4a80f5def8eaa7
15 schema:citation sg:pub.10.1007/s00247-014-3088-8
16 sg:pub.10.1007/s00330-017-4929-2
17 sg:pub.10.1186/1471-230x-4-9
18 sg:pub.10.1186/1532-429x-15-55
19 sg:pub.10.1186/1757-7241-22-15
20 sg:pub.10.1186/s12968-014-0098-5
21 https://doi.org/10.1002/0471249688
22 https://doi.org/10.1016/j.radonc.2010.11.016
23 https://doi.org/10.1016/s0140-6736(86)90837-8
24 https://doi.org/10.1017/s1047951106001041
25 https://doi.org/10.1080/00365520802400859
26 https://doi.org/10.1093/biomet/52.3-4.591
27 https://doi.org/10.1093/bja/aen103
28 https://doi.org/10.1093/ehjci/jeu129
29 https://doi.org/10.1093/humupd/dmu046
30 https://doi.org/10.1136/hrt.2008.160309
31 https://doi.org/10.1148/radiol.2016151281
32 https://doi.org/10.1148/radiol.2016151621
33 https://doi.org/10.1148/radiol.2016152514
34 https://doi.org/10.1148/radiol.2342032059
35 https://doi.org/10.1148/rg.346140048
36 https://doi.org/10.1161/01.cir.0000036745.19310.bb
37 https://doi.org/10.1161/01.cir.0000134282.35183.ad
38 https://doi.org/10.1161/circulationaha.113.005425
39 https://doi.org/10.2307/2987937
40 https://doi.org/10.3109/00365528909089248
41 https://doi.org/10.3109/00365529009095513
42 https://doi.org/10.7150/thno.6815
43 schema:datePublished 2018-10
44 schema:datePublishedReg 2018-10-01
45 schema:description BACKGROUND: Assessment of qualitative or subjective image quality in radiology is traditionally performed using a fixed-point scale even though reproducibility has proved challenging. OBJECTIVE: Image quality of 3-T coronary magnetic resonance (MR) angiography was evaluated using three scoring methods, hypothesizing that a continuous scoring scale like visual analogue scale would improve the assessment. MATERIALS AND METHODS: Adolescents corrected for transposition of the great arteries with arterial switch operation, ages 9-15 years (n=12), and healthy, age-matched controls (n=12), were examined with 3-D steady-state free precession magnetic resonance imaging. Image quality of the coronary artery origin was evaluated by using a fixed-point scale (1-4), visual analogue scale of 10 cm and a visual analogue scale with reference points (figurative visual analogue scale). Satisfactory image quality was set to a fixed-point scale 3=visual analogue scale/figurative visual analogue scale 6.6 cm. Statistical analysis was performed using Cohen kappa coefficient and agreement index. RESULTS: The mean interobserver scores for the fixed-point scale, visual analogue scale and figurative visual analogue scale were, respectively, in the left main stem 2.8, 5.7, 7.0; left anterior descending artery 2.8, 4.7, 6.6; circumflex artery 2.5, 4.5, 6.2, and right coronary artery 3.2, 6.3, 7.7. Scoring with a fixed-point scale gave an intraobserver κ of 0.52-0.77 while interobserver κ was lacking. For visual analogue scale and figurative visual analogue scale, intraobserver agreement indices were, respectively, 0.08-0.58 and 0.43-0.71 and interobserver agreement indices were up to 0.5 and 0.65, respectively. CONCLUSION: Qualitative image quality evaluation with coronary 3-D steady-state free precession MR angiography, using a visual analogue scale with reference points, had better reproducibility compared to a fixed-point scale and visual analogue scale. Image quality, being a continuum, may be better determined by this method.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree true
49 schema:isPartOf N15cc4a0b67e74315b264781accc2a3e1
50 N20ea04899e134fdbac145a40d7d76fea
51 sg:journal.1016713
52 schema:name Can visual analogue scale be used in radiologic subjective image quality assessment?
53 schema:pagination 1567-1575
54 schema:productId N3263890256964503a443d6c46d2e61db
55 N61cdcab9036b4d96aea0b1ecc5bcb1da
56 N69385665fe034956b6b1bd41a2cee908
57 Ncb1943dd58fa4584b986f184763e82da
58 Nfdc259d987754509aa067081fbe16d31
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105306321
60 https://doi.org/10.1007/s00247-018-4187-8
61 schema:sdDatePublished 2019-04-11T12:23
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N9b678a7a7d7040e1abd0fff7615f209a
64 schema:url https://link.springer.com/10.1007%2Fs00247-018-4187-8
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N0379e38b3ff54e7cbdab854872dc4512 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Humans
70 rdf:type schema:DefinedTerm
71 N15080cd5c4b945a0a02f97ef8081b510 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Visual Analog Scale
73 rdf:type schema:DefinedTerm
74 N15cc4a0b67e74315b264781accc2a3e1 schema:volumeNumber 48
75 rdf:type schema:PublicationVolume
76 N1b43540aa14c4069b1eb4f3e8ba9b84e rdf:first sg:person.01161620075.30
77 rdf:rest Nb06ff26d492540ec86549156e30d0db7
78 N1b5efd4588fc4652929855284de0dc81 rdf:first sg:person.0661062670.83
79 rdf:rest N1b43540aa14c4069b1eb4f3e8ba9b84e
80 N20ea04899e134fdbac145a40d7d76fea schema:issueNumber 11
81 rdf:type schema:PublicationIssue
82 N3263890256964503a443d6c46d2e61db schema:name nlm_unique_id
83 schema:value 0365332
84 rdf:type schema:PropertyValue
85 N4735f66bccf84f85afc2f8f77458c869 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Transposition of Great Vessels
87 rdf:type schema:DefinedTerm
88 N52ddaf4a3a664b96b3459c44d0155326 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Adolescent
90 rdf:type schema:DefinedTerm
91 N53f74691e69540f5abadac51c315010f rdf:first sg:person.0736103320.40
92 rdf:rest N96f2d7dfad944fe48a7bda70fbfd9612
93 N5b9baa873ba9430f84414d9badcc423d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Male
95 rdf:type schema:DefinedTerm
96 N5c5cb60e18414fbf8c96371cb6a1fac8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Image Interpretation, Computer-Assisted
98 rdf:type schema:DefinedTerm
99 N5ee9273fd786423c9d4a80f5def8eaa7 rdf:first sg:person.016667264636.76
100 rdf:rest N53f74691e69540f5abadac51c315010f
101 N61cdcab9036b4d96aea0b1ecc5bcb1da schema:name doi
102 schema:value 10.1007/s00247-018-4187-8
103 rdf:type schema:PropertyValue
104 N69385665fe034956b6b1bd41a2cee908 schema:name readcube_id
105 schema:value 6c4aa81fb0fe297c058a2fd53a607acbb9aa5f7924f81f3a09bd33066765b3fc
106 rdf:type schema:PropertyValue
107 N96f2d7dfad944fe48a7bda70fbfd9612 rdf:first sg:person.01130545021.18
108 rdf:rest N1b5efd4588fc4652929855284de0dc81
109 N9b678a7a7d7040e1abd0fff7615f209a schema:name Springer Nature - SN SciGraph project
110 rdf:type schema:Organization
111 Na2fb0a0a52774aacb60fe3331e8c6077 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Quality of Health Care
113 rdf:type schema:DefinedTerm
114 Na417649cd6e945259b40648346389b31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Female
116 rdf:type schema:DefinedTerm
117 Na4c7ca00c7764d62857d18532c818cff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Case-Control Studies
119 rdf:type schema:DefinedTerm
120 Nb06ff26d492540ec86549156e30d0db7 rdf:first sg:person.013272512512.34
121 rdf:rest Nbfb7cce4b93f4051acfa75080c343bd0
122 Nbfb7cce4b93f4051acfa75080c343bd0 rdf:first sg:person.013155756536.66
123 rdf:rest rdf:nil
124 Ncb1943dd58fa4584b986f184763e82da schema:name dimensions_id
125 schema:value pub.1105306321
126 rdf:type schema:PropertyValue
127 Nde28ad5ea2a248f195965bdfd5b28053 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Magnetic Resonance Angiography
129 rdf:type schema:DefinedTerm
130 Nfdc259d987754509aa067081fbe16d31 schema:name pubmed_id
131 schema:value 29974179
132 rdf:type schema:PropertyValue
133 Nff04db8af1ad417d8d2a4a1bf5ddbf98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Child
135 rdf:type schema:DefinedTerm
136 anzsrc-for:17 schema:inDefinedTermSet anzsrc-for:
137 schema:name Psychology and Cognitive Sciences
138 rdf:type schema:DefinedTerm
139 anzsrc-for:1701 schema:inDefinedTermSet anzsrc-for:
140 schema:name Psychology
141 rdf:type schema:DefinedTerm
142 sg:journal.1016713 schema:issn 0301-0449
143 1432-1998
144 schema:name Pediatric Radiology
145 rdf:type schema:Periodical
146 sg:person.01130545021.18 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
147 schema:familyName Smevik
148 schema:givenName Bjarne
149 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130545021.18
150 rdf:type schema:Person
151 sg:person.01161620075.30 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
152 schema:familyName Lindberg
153 schema:givenName Harald Lauritz
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161620075.30
155 rdf:type schema:Person
156 sg:person.013155756536.66 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
157 schema:familyName de Lange
158 schema:givenName Charlotte
159 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013155756536.66
160 rdf:type schema:Person
161 sg:person.013272512512.34 schema:affiliation https://www.grid.ac/institutes/grid.19477.3c
162 schema:familyName Larsen
163 schema:givenName Stig
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013272512512.34
165 rdf:type schema:Person
166 sg:person.016667264636.76 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
167 schema:familyName Suther
168 schema:givenName Kathrine Rydén
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016667264636.76
170 rdf:type schema:Person
171 sg:person.0661062670.83 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
172 schema:familyName Fiane
173 schema:givenName Arnt Eltvedt
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0661062670.83
175 rdf:type schema:Person
176 sg:person.0736103320.40 schema:affiliation https://www.grid.ac/institutes/grid.55325.34
177 schema:familyName Hopp
178 schema:givenName Einar
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736103320.40
180 rdf:type schema:Person
181 sg:pub.10.1007/s00247-014-3088-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017130485
182 https://doi.org/10.1007/s00247-014-3088-8
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/s00330-017-4929-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090578490
185 https://doi.org/10.1007/s00330-017-4929-2
186 rdf:type schema:CreativeWork
187 sg:pub.10.1186/1471-230x-4-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033090702
188 https://doi.org/10.1186/1471-230x-4-9
189 rdf:type schema:CreativeWork
190 sg:pub.10.1186/1532-429x-15-55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047917540
191 https://doi.org/10.1186/1532-429x-15-55
192 rdf:type schema:CreativeWork
193 sg:pub.10.1186/1757-7241-22-15 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048524523
194 https://doi.org/10.1186/1757-7241-22-15
195 rdf:type schema:CreativeWork
196 sg:pub.10.1186/s12968-014-0098-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022368719
197 https://doi.org/10.1186/s12968-014-0098-5
198 rdf:type schema:CreativeWork
199 https://doi.org/10.1002/0471249688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098661133
200 rdf:type schema:CreativeWork
201 https://doi.org/10.1016/j.radonc.2010.11.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037079931
202 rdf:type schema:CreativeWork
203 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
204 rdf:type schema:CreativeWork
205 https://doi.org/10.1017/s1047951106001041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005312529
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1080/00365520802400859 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037278218
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1093/biomet/52.3-4.591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059417484
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1093/bja/aen103 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005521688
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1093/ehjci/jeu129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044066318
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1093/humupd/dmu046 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038424215
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1136/hrt.2008.160309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053432201
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1148/radiol.2016151281 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079257218
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1148/radiol.2016151621 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079236158
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1148/radiol.2016152514 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079272582
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1148/radiol.2342032059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025446337
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1148/rg.346140048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021079704
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1161/01.cir.0000036745.19310.bb schema:sameAs https://app.dimensions.ai/details/publication/pub.1003953556
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1161/01.cir.0000134282.35183.ad schema:sameAs https://app.dimensions.ai/details/publication/pub.1045409422
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1161/circulationaha.113.005425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001367289
234 rdf:type schema:CreativeWork
235 https://doi.org/10.2307/2987937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1102979304
236 rdf:type schema:CreativeWork
237 https://doi.org/10.3109/00365528909089248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006635900
238 rdf:type schema:CreativeWork
239 https://doi.org/10.3109/00365529009095513 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019133384
240 rdf:type schema:CreativeWork
241 https://doi.org/10.7150/thno.6815 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025099762
242 rdf:type schema:CreativeWork
243 https://www.grid.ac/institutes/grid.19477.3c schema:alternateName Norwegian University of Life Sciences
244 schema:name Faculty of Veterinary Medicine, Centre for Epidemiology and Biostatistics, Norwegian University of Life Sciences, Oslo, Norway
245 rdf:type schema:Organization
246 https://www.grid.ac/institutes/grid.55325.34 schema:alternateName Oslo University Hospital
247 schema:name Department of Cardiothoracic Surgery, Oslo University Hospital, Rikshospitalet, Oslo, Norway
248 Division of Radiology and Nuclear Medicine, Oslo University Hospital, Rikshospitalet, P.O. Box 4950, Nydalen, 0424, Oslo, Norway
249 Faculty of Medicine, University of Oslo, Oslo, Norway
250 rdf:type schema:Organization
 




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


...