The effect of tube voltage combination on image artefact and radiation dose in dual-source dual-energy CT: comparison between conventional 80/140 ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Ji Young Jeon, Sheen-Woo Lee, Yu Mi Jeong, Han Joo Baek

ABSTRACT

OBJECTIVES: In dual-source CT, dual-energy (DE) performance is affected by various X-ray tube voltage combinations with and without tin filter (Sn). The purpose of this study was to assess the utility of the 80/150 Sn kV voltage combination in terms of image artefact and radiation dose for DECT gout protocol, compared with the conventional 80/140 kV. METHODS: Seventy-four patients with suspected gout who underwent dual-source DECT examinations scanned at 80/140 kV (n = 37) and at 80/150 Sn kV (n = 37) were included. Patients' age, sex, and serum uric acid levels were matched between the two groups. The types and incidence of image artefacts and radiation dose were evaluated. RESULTS: The 80/150 Sn kV group had significantly fewer patients with artefacts, compared to the 80/140 kV group [11 (30 %) of 37 vs 35 (94.6 %) of 37, p < 0.001]. Except for the motion artefact, the rest of the artefacts-skin, nail bed, submillimetre, motion, vascular, beam-hardening, clumpy artefact along tendon-were significantly less observed in the 80/150 Sn kV acquisitions. The dose-length product (DLP) and effective dose were significantly lower for the 80/150 Sn kV acquisitions compared with the 8s0/140 kV scans (DLP: 104.46 ± 10.66 mGy·cm vs 344.70 ± 56.39 mGy·cm, p < 0.001; effective dose: 1.04 ± 0.11 mSv vs 3.45 ± 0.56 mSv, p < 0.001). CONCLUSIONS: The 80/150 Sn kV voltage combination in dual-source DECT system could be used as one of the artefact reduction methods while reducing radiation dose for gout protocol when compared to the conventional 80/140 kV. KEY POINTS: • DECT has emerged as the leading modality for non-invasive diagnosis of gout. • Various X-ray tube voltage combinations are now feasible in dual-source DECT. • The 80/150 Sn kV acquisition could facilitate artefact reduction in gout protocol. More... »

PAGES

1248-1257

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-018-5622-9

DOI

http://dx.doi.org/10.1007/s00330-018-5622-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1105442840

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29987420


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Artifacts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gout", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Enhancement", 
        "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": "Radiation Dosage", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiography, Dual-Energy Scanned Projection", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Radiology, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, 21565, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeon", 
        "givenName": "Ji Young", 
        "id": "sg:person.011367633713.84", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011367633713.84"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Radiology, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, 21565, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Sheen-Woo", 
        "id": "sg:person.01273744214.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273744214.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Department of Radiology, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, 21565, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jeong", 
        "givenName": "Yu Mi", 
        "id": "sg:person.01043777504.61", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043777504.61"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Gachon University Gil Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.411653.4", 
          "name": [
            "Division of Rheumatology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, 21565, Incheon, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Baek", 
        "givenName": "Han Joo", 
        "id": "sg:person.0733623312.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733623312.26"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.ejrad.2016.03.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007301253"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0000000000000109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008957134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0000000000000109", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008957134"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-01740-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009656400", 
          "https://doi.org/10.1007/978-3-642-01740-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-3-642-01740-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009656400", 
          "https://doi.org/10.1007/978-3-642-01740-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2011-200976", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012561048"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/art.39254", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012861915"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/ard.2008.099713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013666259"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/ar3223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015261019", 
          "https://doi.org/10.1186/ar3223"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0033-8389(03)00158-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020275834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/ijr.11.71", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020500384"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-005-2919-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020692319", 
          "https://doi.org/10.1007/s00330-005-2919-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-005-2919-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020692319", 
          "https://doi.org/10.1007/s00330-005-2919-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/rg.315115510", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021493170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s40134-015-0103-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024353764", 
          "https://doi.org/10.1007/s40134-015-0103-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rhu.0b013e31823e5cda", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027374957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rhu.0b013e31823e5cda", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027374957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jclinepi.2010.03.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032583342"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2015.04.018", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035509873"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1118/1.3083567", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036827142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2013-205095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042831212"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.5395/rde.2013.38.3.182", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045055928"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1136/annrheumdis-2014-205431", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045955022"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3181b9dbed", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048556324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3181b9dbed", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048556324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3181b9dbed", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048556324"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.11102485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050341157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.radonc.2016.02.026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053012930"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0035-1569252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057350854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0036-1579709", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057359262"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1088/0952-4746/28/2/r02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059112290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1259/bjr.20150734", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064565830"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.09.2428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069300091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.09.3956", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069300661"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.12.9116", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069302747"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.12.9117", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069302748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.12.9210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069302785"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.13.11396", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069303311"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.14.13334", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069303931"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.14.13901", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069304094"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2307/2529786", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069975393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmrs.223", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084013506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00234-017-1811-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084019889", 
          "https://doi.org/10.1007/s00234-017-1811-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00234-017-1811-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084019889", 
          "https://doi.org/10.1007/s00234-017-1811-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/jcis.jcis_46_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091342729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4103/jcis.jcis_46_17", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1091342729"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2018.03.004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101382026"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "OBJECTIVES: In dual-source CT, dual-energy (DE) performance is affected by various X-ray tube voltage combinations with and without tin filter (Sn). The purpose of this study was to assess the utility of the 80/150 Sn kV voltage combination in terms of image artefact and radiation dose for DECT gout protocol, compared with the conventional 80/140 kV.\nMETHODS: Seventy-four patients with suspected gout who underwent dual-source DECT examinations scanned at 80/140 kV (n = 37) and at 80/150 Sn kV (n = 37) were included. Patients' age, sex, and serum uric acid levels were matched between the two groups. The types and incidence of image artefacts and radiation dose were evaluated.\nRESULTS: The 80/150 Sn kV group had significantly fewer patients with artefacts, compared to the 80/140 kV group [11 (30 %) of 37 vs 35 (94.6 %) of 37, p < 0.001]. Except for the motion artefact, the rest of the artefacts-skin, nail bed, submillimetre, motion, vascular, beam-hardening, clumpy artefact along tendon-were significantly less observed in the 80/150 Sn kV acquisitions. The dose-length product (DLP) and effective dose were significantly lower for the 80/150 Sn kV acquisitions compared with the 8s0/140 kV scans (DLP: 104.46 \u00b1 10.66 mGy\u00b7cm vs 344.70 \u00b1 56.39 mGy\u00b7cm, p < 0.001; effective dose: 1.04 \u00b1 0.11 mSv vs 3.45 \u00b1 0.56 mSv, p < 0.001).\nCONCLUSIONS: The 80/150 Sn kV voltage combination in dual-source DECT system could be used as one of the artefact reduction methods while reducing radiation dose for gout protocol when compared to the conventional 80/140 kV.\nKEY POINTS: \u2022 DECT has emerged as the leading modality for non-invasive diagnosis of gout. \u2022 Various X-ray tube voltage combinations are now feasible in dual-source DECT. \u2022 The 80/150 Sn kV acquisition could facilitate artefact reduction in gout protocol.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-018-5622-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "The effect of tube voltage combination on image artefact and radiation dose in dual-source dual-energy CT: comparison between conventional 80/140 kV and 80/150 kV plus tin filter for gout protocol", 
    "pagination": "1248-1257", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b96371e343045e489bba2766fb5814d2ff29651e3762252843b95291770f63ca"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29987420"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-018-5622-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1105442840"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-018-5622-9", 
      "https://app.dimensions.ai/details/publication/pub.1105442840"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T13:49", 
    "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/v90/0000000371_0000000371/records_130793_00000005.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00330-018-5622-9"
  }
]
 

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/s00330-018-5622-9'

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/s00330-018-5622-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5622-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5622-9'


 

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

265 TRIPLES      21 PREDICATES      81 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-018-5622-9 schema:about N0bf9d52296fb449e9f92d334dc262198
2 N0c2329a6f08c46c482c826e7b8bcf438
3 N1cb7efa327054dfcac011072dbf02232
4 N2c70ed331057488088285d66a5c4dc61
5 N3894f701fbae4385afede7a426952d08
6 N5ef9394c6a9a4ce1bd03892a7197bb20
7 N730dc564e86242ca82f88f8c6e6b0776
8 N8d5a7c79c4d74394889fd873b7f023c5
9 Naf60fcc97817450d88730e3c2d780216
10 Nb1e25cd8a6f94d54873d24016fc12504
11 Nb23802212d1e4036b19545d64f0a01ca
12 Nd3b88ffae3af4f5fb1cdd9f8d301dc08
13 Ne0693cc10be54cc8abe1f48a6463e8c9
14 anzsrc-for:11
15 anzsrc-for:1103
16 schema:author N43a474116e264519be077b03bb3d7cfb
17 schema:citation sg:pub.10.1007/978-3-642-01740-7
18 sg:pub.10.1007/s00234-017-1811-5
19 sg:pub.10.1007/s00330-005-2919-2
20 sg:pub.10.1007/s40134-015-0103-2
21 sg:pub.10.1186/ar3223
22 https://doi.org/10.1002/art.39254
23 https://doi.org/10.1002/jmrs.223
24 https://doi.org/10.1016/j.ejrad.2015.04.018
25 https://doi.org/10.1016/j.ejrad.2016.03.016
26 https://doi.org/10.1016/j.ejrad.2018.03.004
27 https://doi.org/10.1016/j.jclinepi.2010.03.002
28 https://doi.org/10.1016/j.radonc.2016.02.026
29 https://doi.org/10.1016/s0033-8389(03)00158-1
30 https://doi.org/10.1055/s-0035-1569252
31 https://doi.org/10.1055/s-0036-1579709
32 https://doi.org/10.1088/0952-4746/28/2/r02
33 https://doi.org/10.1097/rhu.0b013e31823e5cda
34 https://doi.org/10.1097/rli.0000000000000109
35 https://doi.org/10.1097/rli.0b013e3181b9dbed
36 https://doi.org/10.1118/1.3083567
37 https://doi.org/10.1136/annrheumdis-2011-200976
38 https://doi.org/10.1136/annrheumdis-2013-205095
39 https://doi.org/10.1136/annrheumdis-2014-205431
40 https://doi.org/10.1136/ard.2008.099713
41 https://doi.org/10.1148/radiol.11102485
42 https://doi.org/10.1148/rg.315115510
43 https://doi.org/10.1259/bjr.20150734
44 https://doi.org/10.2214/ajr.09.2428
45 https://doi.org/10.2214/ajr.09.3956
46 https://doi.org/10.2214/ajr.12.9116
47 https://doi.org/10.2214/ajr.12.9117
48 https://doi.org/10.2214/ajr.12.9210
49 https://doi.org/10.2214/ajr.13.11396
50 https://doi.org/10.2214/ajr.14.13334
51 https://doi.org/10.2214/ajr.14.13901
52 https://doi.org/10.2217/ijr.11.71
53 https://doi.org/10.2307/2529786
54 https://doi.org/10.4103/jcis.jcis_46_17
55 https://doi.org/10.5395/rde.2013.38.3.182
56 schema:datePublished 2019-03
57 schema:datePublishedReg 2019-03-01
58 schema:description OBJECTIVES: In dual-source CT, dual-energy (DE) performance is affected by various X-ray tube voltage combinations with and without tin filter (Sn). The purpose of this study was to assess the utility of the 80/150 Sn kV voltage combination in terms of image artefact and radiation dose for DECT gout protocol, compared with the conventional 80/140 kV. METHODS: Seventy-four patients with suspected gout who underwent dual-source DECT examinations scanned at 80/140 kV (n = 37) and at 80/150 Sn kV (n = 37) were included. Patients' age, sex, and serum uric acid levels were matched between the two groups. The types and incidence of image artefacts and radiation dose were evaluated. RESULTS: The 80/150 Sn kV group had significantly fewer patients with artefacts, compared to the 80/140 kV group [11 (30 %) of 37 vs 35 (94.6 %) of 37, p < 0.001]. Except for the motion artefact, the rest of the artefacts-skin, nail bed, submillimetre, motion, vascular, beam-hardening, clumpy artefact along tendon-were significantly less observed in the 80/150 Sn kV acquisitions. The dose-length product (DLP) and effective dose were significantly lower for the 80/150 Sn kV acquisitions compared with the 8s0/140 kV scans (DLP: 104.46 ± 10.66 mGy·cm vs 344.70 ± 56.39 mGy·cm, p < 0.001; effective dose: 1.04 ± 0.11 mSv vs 3.45 ± 0.56 mSv, p < 0.001). CONCLUSIONS: The 80/150 Sn kV voltage combination in dual-source DECT system could be used as one of the artefact reduction methods while reducing radiation dose for gout protocol when compared to the conventional 80/140 kV. KEY POINTS: • DECT has emerged as the leading modality for non-invasive diagnosis of gout. • Various X-ray tube voltage combinations are now feasible in dual-source DECT. • The 80/150 Sn kV acquisition could facilitate artefact reduction in gout protocol.
59 schema:genre research_article
60 schema:inLanguage en
61 schema:isAccessibleForFree false
62 schema:isPartOf N4789c16c6e594896ab7fb42b1bab7478
63 N795fb8d398a14741b6585d7c99ec2260
64 sg:journal.1289120
65 schema:name The effect of tube voltage combination on image artefact and radiation dose in dual-source dual-energy CT: comparison between conventional 80/140 kV and 80/150 kV plus tin filter for gout protocol
66 schema:pagination 1248-1257
67 schema:productId N0c31f81d00864e6c83781243faad0dc8
68 N0c516265e2a648bea1fb2c98a83c1c3a
69 N37c6d021db064bc5a56e4e83a60fc962
70 N871f25a793744bcb9470007c90dcd66c
71 N92d0ee1644664e3880e43c9aed464c3d
72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105442840
73 https://doi.org/10.1007/s00330-018-5622-9
74 schema:sdDatePublished 2019-04-11T13:49
75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
76 schema:sdPublisher Naa2614db77994679aa2614cc56bbc615
77 schema:url https://link.springer.com/10.1007%2Fs00330-018-5622-9
78 sgo:license sg:explorer/license/
79 sgo:sdDataset articles
80 rdf:type schema:ScholarlyArticle
81 N0bf9d52296fb449e9f92d334dc262198 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
82 schema:name Gout
83 rdf:type schema:DefinedTerm
84 N0c2329a6f08c46c482c826e7b8bcf438 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Middle Aged
86 rdf:type schema:DefinedTerm
87 N0c31f81d00864e6c83781243faad0dc8 schema:name readcube_id
88 schema:value b96371e343045e489bba2766fb5814d2ff29651e3762252843b95291770f63ca
89 rdf:type schema:PropertyValue
90 N0c516265e2a648bea1fb2c98a83c1c3a schema:name doi
91 schema:value 10.1007/s00330-018-5622-9
92 rdf:type schema:PropertyValue
93 N1cb7efa327054dfcac011072dbf02232 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Artifacts
95 rdf:type schema:DefinedTerm
96 N2c70ed331057488088285d66a5c4dc61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Radiation Dosage
98 rdf:type schema:DefinedTerm
99 N37c6d021db064bc5a56e4e83a60fc962 schema:name nlm_unique_id
100 schema:value 9114774
101 rdf:type schema:PropertyValue
102 N3894f701fbae4385afede7a426952d08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Aged
104 rdf:type schema:DefinedTerm
105 N43a474116e264519be077b03bb3d7cfb rdf:first sg:person.011367633713.84
106 rdf:rest Nf6a6a1435d914e89a78a7045aaaa2565
107 N4789c16c6e594896ab7fb42b1bab7478 schema:volumeNumber 29
108 rdf:type schema:PublicationVolume
109 N5ef9394c6a9a4ce1bd03892a7197bb20 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Image Enhancement
111 rdf:type schema:DefinedTerm
112 N70e2f14a8f42471aae79a06022087788 rdf:first sg:person.0733623312.26
113 rdf:rest rdf:nil
114 N730dc564e86242ca82f88f8c6e6b0776 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Retrospective Studies
116 rdf:type schema:DefinedTerm
117 N795fb8d398a14741b6585d7c99ec2260 schema:issueNumber 3
118 rdf:type schema:PublicationIssue
119 N871f25a793744bcb9470007c90dcd66c schema:name pubmed_id
120 schema:value 29987420
121 rdf:type schema:PropertyValue
122 N8d5a7c79c4d74394889fd873b7f023c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Male
124 rdf:type schema:DefinedTerm
125 N92d0ee1644664e3880e43c9aed464c3d schema:name dimensions_id
126 schema:value pub.1105442840
127 rdf:type schema:PropertyValue
128 Naa2614db77994679aa2614cc56bbc615 schema:name Springer Nature - SN SciGraph project
129 rdf:type schema:Organization
130 Naf60fcc97817450d88730e3c2d780216 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Radiography, Dual-Energy Scanned Projection
132 rdf:type schema:DefinedTerm
133 Nb1e25cd8a6f94d54873d24016fc12504 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Humans
135 rdf:type schema:DefinedTerm
136 Nb23802212d1e4036b19545d64f0a01ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Female
138 rdf:type schema:DefinedTerm
139 Nbb33bf7428ee461283756783102b071b rdf:first sg:person.01043777504.61
140 rdf:rest N70e2f14a8f42471aae79a06022087788
141 Nd3b88ffae3af4f5fb1cdd9f8d301dc08 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Tomography, X-Ray Computed
143 rdf:type schema:DefinedTerm
144 Ne0693cc10be54cc8abe1f48a6463e8c9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Tin
146 rdf:type schema:DefinedTerm
147 Nf6a6a1435d914e89a78a7045aaaa2565 rdf:first sg:person.01273744214.15
148 rdf:rest Nbb33bf7428ee461283756783102b071b
149 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
150 schema:name Medical and Health Sciences
151 rdf:type schema:DefinedTerm
152 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
153 schema:name Clinical Sciences
154 rdf:type schema:DefinedTerm
155 sg:journal.1289120 schema:issn 0938-7994
156 1432-1084
157 schema:name European Radiology
158 rdf:type schema:Periodical
159 sg:person.01043777504.61 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
160 schema:familyName Jeong
161 schema:givenName Yu Mi
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01043777504.61
163 rdf:type schema:Person
164 sg:person.011367633713.84 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
165 schema:familyName Jeon
166 schema:givenName Ji Young
167 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011367633713.84
168 rdf:type schema:Person
169 sg:person.01273744214.15 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
170 schema:familyName Lee
171 schema:givenName Sheen-Woo
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01273744214.15
173 rdf:type schema:Person
174 sg:person.0733623312.26 schema:affiliation https://www.grid.ac/institutes/grid.411653.4
175 schema:familyName Baek
176 schema:givenName Han Joo
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0733623312.26
178 rdf:type schema:Person
179 sg:pub.10.1007/978-3-642-01740-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009656400
180 https://doi.org/10.1007/978-3-642-01740-7
181 rdf:type schema:CreativeWork
182 sg:pub.10.1007/s00234-017-1811-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084019889
183 https://doi.org/10.1007/s00234-017-1811-5
184 rdf:type schema:CreativeWork
185 sg:pub.10.1007/s00330-005-2919-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020692319
186 https://doi.org/10.1007/s00330-005-2919-2
187 rdf:type schema:CreativeWork
188 sg:pub.10.1007/s40134-015-0103-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024353764
189 https://doi.org/10.1007/s40134-015-0103-2
190 rdf:type schema:CreativeWork
191 sg:pub.10.1186/ar3223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015261019
192 https://doi.org/10.1186/ar3223
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1002/art.39254 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012861915
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1002/jmrs.223 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084013506
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1016/j.ejrad.2015.04.018 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035509873
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.ejrad.2016.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007301253
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.ejrad.2018.03.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101382026
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.jclinepi.2010.03.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032583342
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.radonc.2016.02.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053012930
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/s0033-8389(03)00158-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020275834
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1055/s-0035-1569252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057350854
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1055/s-0036-1579709 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057359262
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1088/0952-4746/28/2/r02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059112290
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1097/rhu.0b013e31823e5cda schema:sameAs https://app.dimensions.ai/details/publication/pub.1027374957
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1097/rli.0000000000000109 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008957134
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1097/rli.0b013e3181b9dbed schema:sameAs https://app.dimensions.ai/details/publication/pub.1048556324
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1118/1.3083567 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036827142
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1136/annrheumdis-2011-200976 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012561048
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1136/annrheumdis-2013-205095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042831212
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1136/annrheumdis-2014-205431 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045955022
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1136/ard.2008.099713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013666259
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1148/radiol.11102485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050341157
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1148/rg.315115510 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021493170
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1259/bjr.20150734 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064565830
237 rdf:type schema:CreativeWork
238 https://doi.org/10.2214/ajr.09.2428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069300091
239 rdf:type schema:CreativeWork
240 https://doi.org/10.2214/ajr.09.3956 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069300661
241 rdf:type schema:CreativeWork
242 https://doi.org/10.2214/ajr.12.9116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069302747
243 rdf:type schema:CreativeWork
244 https://doi.org/10.2214/ajr.12.9117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069302748
245 rdf:type schema:CreativeWork
246 https://doi.org/10.2214/ajr.12.9210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069302785
247 rdf:type schema:CreativeWork
248 https://doi.org/10.2214/ajr.13.11396 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069303311
249 rdf:type schema:CreativeWork
250 https://doi.org/10.2214/ajr.14.13334 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069303931
251 rdf:type schema:CreativeWork
252 https://doi.org/10.2214/ajr.14.13901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069304094
253 rdf:type schema:CreativeWork
254 https://doi.org/10.2217/ijr.11.71 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020500384
255 rdf:type schema:CreativeWork
256 https://doi.org/10.2307/2529786 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069975393
257 rdf:type schema:CreativeWork
258 https://doi.org/10.4103/jcis.jcis_46_17 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091342729
259 rdf:type schema:CreativeWork
260 https://doi.org/10.5395/rde.2013.38.3.182 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045055928
261 rdf:type schema:CreativeWork
262 https://www.grid.ac/institutes/grid.411653.4 schema:alternateName Gachon University Gil Medical Center
263 schema:name Department of Radiology, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, 21565, Incheon, Republic of Korea
264 Division of Rheumatology, Department of Internal Medicine, Gil Medical Center, Gachon University College of Medicine, 21 Namdong-daero, 774beon-gil, Namdong-gu, 21565, Incheon, Republic of Korea
265 rdf:type schema:Organization
 




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


...