The added value of longitudinal black-blood cardiovascular magnetic resonance angiography in the cross sectional identification of carotid atherosclerotic ulceration View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-12

AUTHORS

Wei Yu, Hunter R Underhill, Marina S Ferguson, Daniel S Hippe, Thomas S Hatsukami, Chun Yuan, Baocheng Chu

ABSTRACT

BACKGROUND: Carotid atherosclerotic ulceration is a significant source of stroke. This study evaluates the efficacy of adding longitudinal black-blood (BB) cardiovascular magnetic resonance (CMR) angiography to cross-sectional CMR images in the identification of carotid atherosclerotic ulceration. METHODS: Thirty-two subjects (30 males and two females with ages between 48 and 83 years) scheduled for carotid endarterectomy were imaged on a 1.5T GE Signa scanner using multisequence [3D time-of-flight, T1, proton density, T2, contrast enhanced T1], cross-sectional CMR images and longitudinal BB CMR angiography (0.625 x 0.625 mm/pixel). Two rounds of review (round 1: cross-sectional CMR images alone and round 2: cross-sectional CMR images plus longitudinal BB CMR angiography) were conducted for the presence and volume measurements of ulceration. Ulceration was defined as a distinct depression into the plaque containing blood flow signal on cross-sectional CMR and longitudinal BB CMR angiography. RESULTS: Of the 32 plaques examined by histology, 17 contained 21 ulcers. Using the longitudinal BB CMR angiography sequence in addition to the cross-sectional CMR images in round 2, the sensitivity improved to 80% for ulcers of at least 6 mm3 in volume by histology and 52.4% for all ulcers, compared to 30% and 23.8% in round 1, respectively. There was a slight decline in specificity from 88.2% to 82.3%, though both the positive and negative predictive values increased modestly from 71.4% to 78.6% and from 48.4% to 58.3%, respectively. CONCLUSION: The addition of longitudinal BB CMR angiography to multisequence cross-sectional CMR images increases accuracy in the identification of carotid atherosclerotic ulceration. More... »

PAGES

31

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1532-429x-11-31

DOI

http://dx.doi.org/10.1186/1532-429x-11-31

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029362458

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19689816


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "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": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carotid Artery Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endarterectomy, Carotid", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Angiography", 
        "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": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ulcer", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Capital Medical University", 
          "id": "https://www.grid.ac/institutes/grid.24696.3f", 
          "name": [
            "Department of Radiology, University of Washington, Seattle, WA, USA", 
            "Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, PR China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yu", 
        "givenName": "Wei", 
        "id": "sg:person.01143631075.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143631075.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Radiology, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Underhill", 
        "givenName": "Hunter R", 
        "id": "sg:person.0651505331.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651505331.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Radiology, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ferguson", 
        "givenName": "Marina S", 
        "id": "sg:person.01064030670.72", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064030670.72"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Radiology, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hippe", 
        "givenName": "Daniel S", 
        "id": "sg:person.0764104440.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764104440.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Surgery, Vascular Surgery Division, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hatsukami", 
        "givenName": "Thomas S", 
        "id": "sg:person.013351427457.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013351427457.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Radiology, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yuan", 
        "givenName": "Chun", 
        "id": "sg:person.011712252247.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011712252247.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Washington", 
          "id": "https://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Radiology, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chu", 
        "givenName": "Baocheng", 
        "id": "sg:person.01264250523.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264250523.91"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/jmri.21890", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000148663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.21890", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000148663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.102.9.959", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002724346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.107.187998", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003235367"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.1880060121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008407196"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.21385", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009186956"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1179", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009485701"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009840405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20317", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009840405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a0486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011062848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2431060310", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011905517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/10976640600843462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012935805"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rmr.0b013e3181598d9d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013328216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rmr.0b013e3181598d9d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013328216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.104.494419", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013627273"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.105.589044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014132344"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc4201.097839", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015268610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mva.2002.121210", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015325496"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.25.6.1130", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015671434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.31.3.615", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016189935"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circulationaha.105.567255", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016551963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.1910390417", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017312674"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.10278", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018787640"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2232010659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019829323"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2402050390", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020412382"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000204638.91099.91", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021071288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000204638.91099.91", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021071288"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.10292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023373477"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000155965.54679.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023396216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000155965.54679.79", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023396216"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature06803", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029131166", 
          "https://doi.org/10.1038/nature06803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000244780.82190.a4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030977623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000244780.82190.a4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030977623"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a0950", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032435631"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0741-5214(98)70267-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033114127"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000013562.73522.82", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033662051"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1793", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035510584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000149867.61851.31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036106235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.atv.0000149867.61851.31", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036106235"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038234038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20562", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038234038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc0202.102121", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038275788"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.292.15.1845", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042410357"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.98.24.2666", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043092275"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.25.2.304", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045900880"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000185679.62634.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048676271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000185679.62634.0a", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048676271"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3174/ajnr.a1557", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051947765"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000152336.71224.21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053744215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.str.0000152336.71224.21", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053744215"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2174/157488706778250159", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069215262"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-12", 
    "datePublishedReg": "2009-12-01", 
    "description": "BACKGROUND: Carotid atherosclerotic ulceration is a significant source of stroke. This study evaluates the efficacy of adding longitudinal black-blood (BB) cardiovascular magnetic resonance (CMR) angiography to cross-sectional CMR images in the identification of carotid atherosclerotic ulceration.\nMETHODS: Thirty-two subjects (30 males and two females with ages between 48 and 83 years) scheduled for carotid endarterectomy were imaged on a 1.5T GE Signa scanner using multisequence [3D time-of-flight, T1, proton density, T2, contrast enhanced T1], cross-sectional CMR images and longitudinal BB CMR angiography (0.625 x 0.625 mm/pixel). Two rounds of review (round 1: cross-sectional CMR images alone and round 2: cross-sectional CMR images plus longitudinal BB CMR angiography) were conducted for the presence and volume measurements of ulceration. Ulceration was defined as a distinct depression into the plaque containing blood flow signal on cross-sectional CMR and longitudinal BB CMR angiography.\nRESULTS: Of the 32 plaques examined by histology, 17 contained 21 ulcers. Using the longitudinal BB CMR angiography sequence in addition to the cross-sectional CMR images in round 2, the sensitivity improved to 80% for ulcers of at least 6 mm3 in volume by histology and 52.4% for all ulcers, compared to 30% and 23.8% in round 1, respectively. There was a slight decline in specificity from 88.2% to 82.3%, though both the positive and negative predictive values increased modestly from 71.4% to 78.6% and from 48.4% to 58.3%, respectively.\nCONCLUSION: The addition of longitudinal BB CMR angiography to multisequence cross-sectional CMR images increases accuracy in the identification of carotid atherosclerotic ulceration.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1532-429x-11-31", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2535620", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1030439", 
        "issn": [
          "1548-7679", 
          "1879-2855"
        ], 
        "name": "Journal of Cardiovascular Magnetic Resonance", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "11"
      }
    ], 
    "name": "The added value of longitudinal black-blood cardiovascular magnetic resonance angiography in the cross sectional identification of carotid atherosclerotic ulceration", 
    "pagination": "31", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "8be0ece5ace2385ad33b39005542cc3dc39491e499884f161cef98fe78c95c1c"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19689816"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9815616"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1532-429x-11-31"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1029362458"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1532-429x-11-31", 
      "https://app.dimensions.ai/details/publication/pub.1029362458"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000513.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1532-429X-11-31"
  }
]
 

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.10.1186/1532-429x-11-31'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1532-429x-11-31'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1532-429x-11-31'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1532-429x-11-31'


 

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

294 TRIPLES      21 PREDICATES      83 URIs      34 LITERALS      22 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1532-429x-11-31 schema:about N040d9051a58e4cab8459f6a8f288f353
2 N04d0bf13aec24bbaa1eb33a353e962db
3 N0bd0c2d76abc47908ec9f3df216d5139
4 N27d0b7ca33bc4be0ac3f56de30435738
5 N2ed2a10a0cc14d75942e5567626e624f
6 N4a635ea0850543f58fd258ae31238f06
7 N58272c471c014802b8780472dc11adf4
8 N612e50bb867d41be8a839633a698c6df
9 N75c36d901d3a432a9e474b144778a2d3
10 N77539210afba4bba9ce7b640d7bdc9e0
11 N844a1bb9d4ad42649deb37f3b6cfc04a
12 Nb11de9a9ec364d24aa756e670297f72f
13 Nb7a39adcd6a94a8f80fcbe684033fbe7
14 anzsrc-for:11
15 anzsrc-for:1102
16 schema:author Nd67f9da964b14030ae19cdba90e5f004
17 schema:citation sg:pub.10.1038/nature06803
18 https://doi.org/10.1001/jama.292.15.1845
19 https://doi.org/10.1002/jmri.10278
20 https://doi.org/10.1002/jmri.1880060121
21 https://doi.org/10.1002/jmri.20317
22 https://doi.org/10.1002/jmri.20562
23 https://doi.org/10.1002/jmri.21890
24 https://doi.org/10.1002/mrm.10292
25 https://doi.org/10.1002/mrm.1910390417
26 https://doi.org/10.1002/mrm.21385
27 https://doi.org/10.1016/s0741-5214(98)70267-8
28 https://doi.org/10.1067/mva.2002.121210
29 https://doi.org/10.1080/10976640600843462
30 https://doi.org/10.1097/rmr.0b013e3181598d9d
31 https://doi.org/10.1148/radiol.2232010659
32 https://doi.org/10.1148/radiol.2402050390
33 https://doi.org/10.1148/radiol.2431060310
34 https://doi.org/10.1161/01.atv.0000149867.61851.31
35 https://doi.org/10.1161/01.atv.0000155965.54679.79
36 https://doi.org/10.1161/01.cir.102.9.959
37 https://doi.org/10.1161/01.cir.98.24.2666
38 https://doi.org/10.1161/01.str.0000013562.73522.82
39 https://doi.org/10.1161/01.str.0000152336.71224.21
40 https://doi.org/10.1161/01.str.0000185679.62634.0a
41 https://doi.org/10.1161/01.str.0000204638.91099.91
42 https://doi.org/10.1161/01.str.0000244780.82190.a4
43 https://doi.org/10.1161/01.str.25.2.304
44 https://doi.org/10.1161/01.str.25.6.1130
45 https://doi.org/10.1161/01.str.31.3.615
46 https://doi.org/10.1161/circulationaha.104.494419
47 https://doi.org/10.1161/circulationaha.105.567255
48 https://doi.org/10.1161/circulationaha.105.589044
49 https://doi.org/10.1161/circulationaha.107.187998
50 https://doi.org/10.1161/hc0202.102121
51 https://doi.org/10.1161/hc4201.097839
52 https://doi.org/10.2174/157488706778250159
53 https://doi.org/10.3174/ajnr.a0486
54 https://doi.org/10.3174/ajnr.a0950
55 https://doi.org/10.3174/ajnr.a1179
56 https://doi.org/10.3174/ajnr.a1557
57 https://doi.org/10.3174/ajnr.a1793
58 schema:datePublished 2009-12
59 schema:datePublishedReg 2009-12-01
60 schema:description BACKGROUND: Carotid atherosclerotic ulceration is a significant source of stroke. This study evaluates the efficacy of adding longitudinal black-blood (BB) cardiovascular magnetic resonance (CMR) angiography to cross-sectional CMR images in the identification of carotid atherosclerotic ulceration. METHODS: Thirty-two subjects (30 males and two females with ages between 48 and 83 years) scheduled for carotid endarterectomy were imaged on a 1.5T GE Signa scanner using multisequence [3D time-of-flight, T1, proton density, T2, contrast enhanced T1], cross-sectional CMR images and longitudinal BB CMR angiography (0.625 x 0.625 mm/pixel). Two rounds of review (round 1: cross-sectional CMR images alone and round 2: cross-sectional CMR images plus longitudinal BB CMR angiography) were conducted for the presence and volume measurements of ulceration. Ulceration was defined as a distinct depression into the plaque containing blood flow signal on cross-sectional CMR and longitudinal BB CMR angiography. RESULTS: Of the 32 plaques examined by histology, 17 contained 21 ulcers. Using the longitudinal BB CMR angiography sequence in addition to the cross-sectional CMR images in round 2, the sensitivity improved to 80% for ulcers of at least 6 mm3 in volume by histology and 52.4% for all ulcers, compared to 30% and 23.8% in round 1, respectively. There was a slight decline in specificity from 88.2% to 82.3%, though both the positive and negative predictive values increased modestly from 71.4% to 78.6% and from 48.4% to 58.3%, respectively. CONCLUSION: The addition of longitudinal BB CMR angiography to multisequence cross-sectional CMR images increases accuracy in the identification of carotid atherosclerotic ulceration.
61 schema:genre research_article
62 schema:inLanguage en
63 schema:isAccessibleForFree true
64 schema:isPartOf Ndbf99ded1bb94b7f9d0cb95cbe86ac4c
65 Ne133f6b2869e4eed912b93c487b1f5a9
66 sg:journal.1030439
67 schema:name The added value of longitudinal black-blood cardiovascular magnetic resonance angiography in the cross sectional identification of carotid atherosclerotic ulceration
68 schema:pagination 31
69 schema:productId N5575051a2dc04edc8656bd2be9a4d177
70 N87ed6db0c7594251ae39b1fa13ec247a
71 N9a41ea605e1f4e24a8f6f884b5ee4bbc
72 N9b625cd65b58431f8c98174d35874d83
73 Ne4c90c3c750a4c1b86c97956f00b2765
74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029362458
75 https://doi.org/10.1186/1532-429x-11-31
76 schema:sdDatePublished 2019-04-10T15:01
77 schema:sdLicense https://scigraph.springernature.com/explorer/license/
78 schema:sdPublisher N81cab8300c254a41b8982c82c1311523
79 schema:url http://link.springer.com/10.1186%2F1532-429X-11-31
80 sgo:license sg:explorer/license/
81 sgo:sdDataset articles
82 rdf:type schema:ScholarlyArticle
83 N040d9051a58e4cab8459f6a8f288f353 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Carotid Artery Diseases
85 rdf:type schema:DefinedTerm
86 N04d0bf13aec24bbaa1eb33a353e962db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Humans
88 rdf:type schema:DefinedTerm
89 N0782d0de3b344e5c9d90be08e33b0313 rdf:first sg:person.01264250523.91
90 rdf:rest rdf:nil
91 N0bd0c2d76abc47908ec9f3df216d5139 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Female
93 rdf:type schema:DefinedTerm
94 N11c4d084f78840a0b5bed1f7ed8a6b93 rdf:first sg:person.0651505331.45
95 rdf:rest Nf5adc179dbd74c5aa72ec04c175e78c3
96 N21b757822a57471086640521b90c9e2b rdf:first sg:person.0764104440.34
97 rdf:rest N7ad8058d4ab44042a959a83038282eb7
98 N27d0b7ca33bc4be0ac3f56de30435738 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Aged, 80 and over
100 rdf:type schema:DefinedTerm
101 N2ed2a10a0cc14d75942e5567626e624f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Middle Aged
103 rdf:type schema:DefinedTerm
104 N4a635ea0850543f58fd258ae31238f06 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Ulcer
106 rdf:type schema:DefinedTerm
107 N545dd42d6970461eac1293723977a0af rdf:first sg:person.011712252247.13
108 rdf:rest N0782d0de3b344e5c9d90be08e33b0313
109 N5575051a2dc04edc8656bd2be9a4d177 schema:name doi
110 schema:value 10.1186/1532-429x-11-31
111 rdf:type schema:PropertyValue
112 N58272c471c014802b8780472dc11adf4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Magnetic Resonance Angiography
114 rdf:type schema:DefinedTerm
115 N612e50bb867d41be8a839633a698c6df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Contrast Media
117 rdf:type schema:DefinedTerm
118 N75c36d901d3a432a9e474b144778a2d3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Sensitivity and Specificity
120 rdf:type schema:DefinedTerm
121 N77539210afba4bba9ce7b640d7bdc9e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Aged
123 rdf:type schema:DefinedTerm
124 N7ad8058d4ab44042a959a83038282eb7 rdf:first sg:person.013351427457.97
125 rdf:rest N545dd42d6970461eac1293723977a0af
126 N81cab8300c254a41b8982c82c1311523 schema:name Springer Nature - SN SciGraph project
127 rdf:type schema:Organization
128 N844a1bb9d4ad42649deb37f3b6cfc04a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Predictive Value of Tests
130 rdf:type schema:DefinedTerm
131 N87ed6db0c7594251ae39b1fa13ec247a schema:name readcube_id
132 schema:value 8be0ece5ace2385ad33b39005542cc3dc39491e499884f161cef98fe78c95c1c
133 rdf:type schema:PropertyValue
134 N9a41ea605e1f4e24a8f6f884b5ee4bbc schema:name nlm_unique_id
135 schema:value 9815616
136 rdf:type schema:PropertyValue
137 N9b625cd65b58431f8c98174d35874d83 schema:name pubmed_id
138 schema:value 19689816
139 rdf:type schema:PropertyValue
140 Nb11de9a9ec364d24aa756e670297f72f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Endarterectomy, Carotid
142 rdf:type schema:DefinedTerm
143 Nb7a39adcd6a94a8f80fcbe684033fbe7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Male
145 rdf:type schema:DefinedTerm
146 Nd67f9da964b14030ae19cdba90e5f004 rdf:first sg:person.01143631075.45
147 rdf:rest N11c4d084f78840a0b5bed1f7ed8a6b93
148 Ndbf99ded1bb94b7f9d0cb95cbe86ac4c schema:issueNumber 1
149 rdf:type schema:PublicationIssue
150 Ne133f6b2869e4eed912b93c487b1f5a9 schema:volumeNumber 11
151 rdf:type schema:PublicationVolume
152 Ne4c90c3c750a4c1b86c97956f00b2765 schema:name dimensions_id
153 schema:value pub.1029362458
154 rdf:type schema:PropertyValue
155 Nf5adc179dbd74c5aa72ec04c175e78c3 rdf:first sg:person.01064030670.72
156 rdf:rest N21b757822a57471086640521b90c9e2b
157 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
158 schema:name Medical and Health Sciences
159 rdf:type schema:DefinedTerm
160 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
161 schema:name Cardiorespiratory Medicine and Haematology
162 rdf:type schema:DefinedTerm
163 sg:grant.2535620 http://pending.schema.org/fundedItem sg:pub.10.1186/1532-429x-11-31
164 rdf:type schema:MonetaryGrant
165 sg:journal.1030439 schema:issn 1548-7679
166 1879-2855
167 schema:name Journal of Cardiovascular Magnetic Resonance
168 rdf:type schema:Periodical
169 sg:person.01064030670.72 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
170 schema:familyName Ferguson
171 schema:givenName Marina S
172 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01064030670.72
173 rdf:type schema:Person
174 sg:person.01143631075.45 schema:affiliation https://www.grid.ac/institutes/grid.24696.3f
175 schema:familyName Yu
176 schema:givenName Wei
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143631075.45
178 rdf:type schema:Person
179 sg:person.011712252247.13 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
180 schema:familyName Yuan
181 schema:givenName Chun
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011712252247.13
183 rdf:type schema:Person
184 sg:person.01264250523.91 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
185 schema:familyName Chu
186 schema:givenName Baocheng
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264250523.91
188 rdf:type schema:Person
189 sg:person.013351427457.97 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
190 schema:familyName Hatsukami
191 schema:givenName Thomas S
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013351427457.97
193 rdf:type schema:Person
194 sg:person.0651505331.45 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
195 schema:familyName Underhill
196 schema:givenName Hunter R
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651505331.45
198 rdf:type schema:Person
199 sg:person.0764104440.34 schema:affiliation https://www.grid.ac/institutes/grid.34477.33
200 schema:familyName Hippe
201 schema:givenName Daniel S
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0764104440.34
203 rdf:type schema:Person
204 sg:pub.10.1038/nature06803 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029131166
205 https://doi.org/10.1038/nature06803
206 rdf:type schema:CreativeWork
207 https://doi.org/10.1001/jama.292.15.1845 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042410357
208 rdf:type schema:CreativeWork
209 https://doi.org/10.1002/jmri.10278 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018787640
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1002/jmri.1880060121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008407196
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1002/jmri.20317 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009840405
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1002/jmri.20562 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038234038
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1002/jmri.21890 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000148663
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1002/mrm.10292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023373477
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1002/mrm.1910390417 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017312674
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1002/mrm.21385 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009186956
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1016/s0741-5214(98)70267-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033114127
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1067/mva.2002.121210 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015325496
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1080/10976640600843462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012935805
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1097/rmr.0b013e3181598d9d schema:sameAs https://app.dimensions.ai/details/publication/pub.1013328216
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1148/radiol.2232010659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019829323
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1148/radiol.2402050390 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020412382
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1148/radiol.2431060310 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011905517
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1161/01.atv.0000149867.61851.31 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036106235
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1161/01.atv.0000155965.54679.79 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023396216
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1161/01.cir.102.9.959 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002724346
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1161/01.cir.98.24.2666 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043092275
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1161/01.str.0000013562.73522.82 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033662051
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1161/01.str.0000152336.71224.21 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053744215
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1161/01.str.0000185679.62634.0a schema:sameAs https://app.dimensions.ai/details/publication/pub.1048676271
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1161/01.str.0000204638.91099.91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021071288
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1161/01.str.0000244780.82190.a4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030977623
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1161/01.str.25.2.304 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045900880
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1161/01.str.25.6.1130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015671434
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1161/01.str.31.3.615 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016189935
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1161/circulationaha.104.494419 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013627273
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1161/circulationaha.105.567255 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016551963
266 rdf:type schema:CreativeWork
267 https://doi.org/10.1161/circulationaha.105.589044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014132344
268 rdf:type schema:CreativeWork
269 https://doi.org/10.1161/circulationaha.107.187998 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003235367
270 rdf:type schema:CreativeWork
271 https://doi.org/10.1161/hc0202.102121 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038275788
272 rdf:type schema:CreativeWork
273 https://doi.org/10.1161/hc4201.097839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015268610
274 rdf:type schema:CreativeWork
275 https://doi.org/10.2174/157488706778250159 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069215262
276 rdf:type schema:CreativeWork
277 https://doi.org/10.3174/ajnr.a0486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011062848
278 rdf:type schema:CreativeWork
279 https://doi.org/10.3174/ajnr.a0950 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032435631
280 rdf:type schema:CreativeWork
281 https://doi.org/10.3174/ajnr.a1179 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009485701
282 rdf:type schema:CreativeWork
283 https://doi.org/10.3174/ajnr.a1557 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051947765
284 rdf:type schema:CreativeWork
285 https://doi.org/10.3174/ajnr.a1793 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035510584
286 rdf:type schema:CreativeWork
287 https://www.grid.ac/institutes/grid.24696.3f schema:alternateName Capital Medical University
288 schema:name Department of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, PR China
289 Department of Radiology, University of Washington, Seattle, WA, USA
290 rdf:type schema:Organization
291 https://www.grid.ac/institutes/grid.34477.33 schema:alternateName University of Washington
292 schema:name Department of Radiology, University of Washington, Seattle, WA, USA
293 Department of Surgery, Vascular Surgery Division, University of Washington, Seattle, WA, USA
294 rdf:type schema:Organization
 




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


...