Practical utilization of cardiac computed tomography for the success in complex coronary intervention View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-01-11

AUTHORS

Kenji Sadamatsu, Masaaki Okutsu, Satoru Sumitsuji, Tomohiro Kawasaki, Sunao Nakamura, Yoshihiro Fukumoto, Kenichi Tsujita, Shinjo Sonoda, Yoshio Kobayashi, Yuji Ikari

ABSTRACT

Percutaneous coronary intervention (PCI) for complex lesions is still technically demanding and is associated with less favorable procedural parameters such as lower success rate, longer procedural time, higher contrast volume and unexpected complications. Because the conventional angiographic analysis is limited by the inability to visualize the plaque information and the occluded segment, cardiac computed tomography has evolved as an adjunct to invasive angiography to better characterize coronary lesions to improve success rates of PCI. Adding to routine image reconstructions by coronary computed tomography angiography, the thin-slab maximum intensity projection method, which is a handy reconstruction technique on an ordinary workstation, could provide easy-to-understand images to reveal the anatomical characteristics and the lumen and plaque information simultaneously, and then assist to build an in-depth strategy for PCI. Especially in the treatment of chronic total occlusion lesion, these informations have big advantages in the visualization of the morphologies of entry and exit, the occluded segment and the distribution of calcium compared to invasive coronary angiography. Despite of the additional radiation exposure, contrast use and cost for cardiac computed tomography, the precise analysis of lesion characteristics would consequently improve the procedural success and prevent the complication in complex PCI. More... »

PAGES

178-189

References to SciGraph publications

  • 2010-11-06. Prediction of the no-reflow phenomenon during percutaneous coronary intervention using coronary computed tomography angiography in HEART AND VESSELS
  • 2020-05-13. Role of Coronary Computed Tomography Angiography in Percutaneous Coronary Intervention of Chronic Total Occlusions in CURRENT CARDIOVASCULAR IMAGING REPORTS
  • 2018-04-11. Predictive performance of dual modality of computed tomography angiography and intravascular ultrasound for no-reflow phenomenon after percutaneous coronary stenting in stable coronary artery disease in HEART AND VESSELS
  • 2007-01-06. Characterization of myocardial viability using MR and CT imaging in EUROPEAN RADIOLOGY
  • 2019-10-19. Coronary artery stenosis-related perfusion ratio using dynamic computed tomography myocardial perfusion imaging: a pilot for identification of hemodynamically significant coronary artery disease in CARDIOVASCULAR INTERVENTION AND THERAPEUTICS
  • 2013-06-23. Preprocedural coronary CT angiography significantly improves success rates of PCI for chronic total occlusion in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2018-07-10. Short-term outcome of percutaneous coronary intervention with directional coronary atherectomy followed by drug-coated balloon: a preliminary report in CARDIOVASCULAR INTERVENTION AND THERAPEUTICS
  • 2018-06-08. Diagnostic accuracy of multi-slice computed tomography in identifying lesion characteristics in coronary total occlusion in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • 2019-03-22. The best predictor of ischemic coronary stenosis: subtended myocardial volume, machine learning–based FFRCT, or high-risk plaque features? in EUROPEAN RADIOLOGY
  • 2006-10-26. Cardiac CT: coronary arteries and beyond in EUROPEAN RADIOLOGY
  • 2008-11-26. Three-dimensional coronary imaging for the ostium of the left anterior descending artery in THE INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12928-020-00751-6

    DOI

    http://dx.doi.org/10.1007/s12928-020-00751-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1134480140

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/33428155


    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/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Coronary Angiography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Coronary Occlusion", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Percutaneous Coronary Intervention", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Department of Cardiovascular Medicine, Omuta City Hospital, 2-19-1 Takarazaka-machi, 836-8567, Omuta, Fukuoka, Japan", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Cardiovascular Medicine, Omuta City Hospital, 2-19-1 Takarazaka-machi, 836-8567, Omuta, Fukuoka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sadamatsu", 
            "givenName": "Kenji", 
            "id": "sg:person.01370436311.67", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370436311.67"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiovascular Medicine, New Tokyo Hospital, Matsudo, Japan", 
              "id": "http://www.grid.ac/institutes/grid.459808.8", 
              "name": [
                "Department of Cardiovascular Medicine, New Tokyo Hospital, Matsudo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Okutsu", 
            "givenName": "Masaaki", 
            "id": "sg:person.011771702573.66", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011771702573.66"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology for International Education and Research, Osaka University Graduate School of Medicine, Osaka, Japan", 
              "id": "http://www.grid.ac/institutes/grid.136593.b", 
              "name": [
                "Department of Cardiology for International Education and Research, Osaka University Graduate School of Medicine, Osaka, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sumitsuji", 
            "givenName": "Satoru", 
            "id": "sg:person.01370203123.78", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370203123.78"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Cardiovascular and Heart Rhythm Center, Shin-Koga Hospital, Kurume, Japan", 
              "id": "http://www.grid.ac/institutes/grid.415758.a", 
              "name": [
                "Cardiovascular and Heart Rhythm Center, Shin-Koga Hospital, Kurume, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kawasaki", 
            "givenName": "Tomohiro", 
            "id": "sg:person.0736352554.19", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736352554.19"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiovascular Medicine, New Tokyo Hospital, Matsudo, Japan", 
              "id": "http://www.grid.ac/institutes/grid.459808.8", 
              "name": [
                "Department of Cardiovascular Medicine, New Tokyo Hospital, Matsudo, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nakamura", 
            "givenName": "Sunao", 
            "id": "sg:person.011613056142.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011613056142.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan", 
              "id": "http://www.grid.ac/institutes/grid.410781.b", 
              "name": [
                "Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Fukumoto", 
            "givenName": "Yoshihiro", 
            "id": "sg:person.0761604214.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761604214.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiovascular Medicine, Kumamoto University Graduate School of Medical Science, Kumamoto, Japan", 
              "id": "http://www.grid.ac/institutes/grid.274841.c", 
              "name": [
                "Department of Cardiovascular Medicine, Kumamoto University Graduate School of Medical Science, Kumamoto, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tsujita", 
            "givenName": "Kenichi", 
            "id": "sg:person.01262062031.36", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262062031.36"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Second Department of Internal Medicine, School of Medicine, University of Occupational and Environ- Mental Health, Kitakyushu, Japan", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Second Department of Internal Medicine, School of Medicine, University of Occupational and Environ- Mental Health, Kitakyushu, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sonoda", 
            "givenName": "Shinjo", 
            "id": "sg:person.014541073462.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014541073462.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan", 
              "id": "http://www.grid.ac/institutes/grid.136304.3", 
              "name": [
                "Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kobayashi", 
            "givenName": "Yoshio", 
            "id": "sg:person.016657042642.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016657042642.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Cardiology, Tokai University, Kanagawa, Japan", 
              "id": "http://www.grid.ac/institutes/grid.265061.6", 
              "name": [
                "Department of Cardiology, Tokai University, Kanagawa, Japan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ikari", 
            "givenName": "Yuji", 
            "id": "sg:person.01230000060.40", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230000060.40"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00380-010-0059-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005286123", 
              "https://doi.org/10.1007/s00380-010-0059-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12410-020-09541-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1127574060", 
              "https://doi.org/10.1007/s12410-020-09541-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-006-0531-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004599914", 
              "https://doi.org/10.1007/s00330-006-0531-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12928-018-0537-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105428454", 
              "https://doi.org/10.1007/s12928-018-0537-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12928-019-00627-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1121944545", 
              "https://doi.org/10.1007/s12928-019-00627-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00380-018-1160-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103222052", 
              "https://doi.org/10.1007/s00380-018-1160-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10554-008-9385-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034032832", 
              "https://doi.org/10.1007/s10554-008-9385-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10554-018-1392-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104476223", 
              "https://doi.org/10.1007/s10554-018-1392-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-006-0433-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018096563", 
              "https://doi.org/10.1007/s00330-006-0433-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-019-06139-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1112942310", 
              "https://doi.org/10.1007/s00330-019-06139-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10554-013-0258-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051480010", 
              "https://doi.org/10.1007/s10554-013-0258-y"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-01-11", 
        "datePublishedReg": "2021-01-11", 
        "description": "Percutaneous coronary intervention (PCI) for complex lesions is still technically demanding and is associated with less favorable procedural parameters such as lower success rate, longer procedural time, higher contrast volume and unexpected complications. Because the conventional angiographic analysis is limited by the inability to visualize the plaque information and the occluded segment, cardiac computed tomography has evolved as an adjunct to invasive angiography to better characterize coronary lesions to improve success rates of PCI. Adding to routine image reconstructions by coronary computed tomography angiography, the thin-slab maximum intensity projection method, which is a handy reconstruction technique on an ordinary workstation, could provide easy-to-understand images to reveal the anatomical characteristics and the lumen and plaque information simultaneously, and then assist to build an in-depth strategy for PCI. Especially in the treatment of chronic total occlusion lesion, these informations have big advantages in the visualization of the morphologies of entry and exit, the occluded segment and the distribution of calcium compared to invasive coronary angiography. Despite of the additional radiation exposure, contrast use and cost for cardiac computed tomography, the precise analysis of lesion characteristics would consequently improve the procedural success and prevent the complication in complex PCI.", 
        "genre": "article", 
        "id": "sg:pub.10.1007/s12928-020-00751-6", 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1042779", 
            "issn": [
              "1868-4300", 
              "1868-4297"
            ], 
            "name": "Cardiovascular Intervention and Therapeutics", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "36"
          }
        ], 
        "keywords": [
          "percutaneous coronary intervention", 
          "cardiac computed tomography", 
          "computed tomography", 
          "coronary intervention", 
          "chronic total occlusion (CTO) lesions", 
          "complex percutaneous coronary intervention", 
          "plaque information", 
          "total occlusion lesions", 
          "invasive coronary angiography", 
          "higher contrast volume", 
          "complex coronary interventions", 
          "success rate", 
          "longer procedural time", 
          "additional radiation exposure", 
          "occlusion lesions", 
          "coronary angiography", 
          "coronary lesions", 
          "procedural success", 
          "contrast volume", 
          "tomography angiography", 
          "angiographic analysis", 
          "lesion characteristics", 
          "procedural time", 
          "contrast use", 
          "complex lesions", 
          "unexpected complications", 
          "low success rate", 
          "angiography", 
          "procedural parameters", 
          "radiation exposure", 
          "lesions", 
          "complications", 
          "maximum intensity projection method", 
          "tomography", 
          "distribution of calcium", 
          "intervention", 
          "anatomical characteristics", 
          "adjunct", 
          "treatment", 
          "lumen", 
          "reconstruction technique", 
          "exposure", 
          "calcium", 
          "rate", 
          "segments", 
          "inability", 
          "success", 
          "entry", 
          "analysis", 
          "volume", 
          "information", 
          "characteristics", 
          "use", 
          "reconstruction", 
          "strategies", 
          "time", 
          "utilization", 
          "visualization", 
          "precise analysis", 
          "technique", 
          "method", 
          "morphology", 
          "cost", 
          "parameters", 
          "images", 
          "advantages", 
          "distribution", 
          "exit", 
          "workstations", 
          "big advantage", 
          "image reconstruction", 
          "ordinary workstations", 
          "practical utilization", 
          "depth strategy", 
          "projection method"
        ], 
        "name": "Practical utilization of cardiac computed tomography for the success in complex coronary intervention", 
        "pagination": "178-189", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1134480140"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12928-020-00751-6"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "33428155"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12928-020-00751-6", 
          "https://app.dimensions.ai/details/publication/pub.1134480140"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-09-02T16:08", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_922.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1007/s12928-020-00751-6"
      }
    ]
     

    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/s12928-020-00751-6'

    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/s12928-020-00751-6'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12928-020-00751-6'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12928-020-00751-6'


     

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

    286 TRIPLES      21 PREDICATES      116 URIs      97 LITERALS      12 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12928-020-00751-6 schema:about N2ca0012c2e6341be9fbe12c6d00e55db
    2 N32d19e0a63a948b08b98310172fbdf82
    3 N333b8ecea9c9474ba1287c91d0bf7bc1
    4 N4cb97baa9f3c4a1aa36f149c754ee387
    5 Nff7f48b0b3a84acf8dad050767db1e11
    6 anzsrc-for:11
    7 anzsrc-for:1102
    8 schema:author N7ef83242b0d14f499f0143a8a095b434
    9 schema:citation sg:pub.10.1007/s00330-006-0433-9
    10 sg:pub.10.1007/s00330-006-0531-8
    11 sg:pub.10.1007/s00330-019-06139-2
    12 sg:pub.10.1007/s00380-010-0059-3
    13 sg:pub.10.1007/s00380-018-1160-2
    14 sg:pub.10.1007/s10554-008-9385-2
    15 sg:pub.10.1007/s10554-013-0258-y
    16 sg:pub.10.1007/s10554-018-1392-3
    17 sg:pub.10.1007/s12410-020-09541-3
    18 sg:pub.10.1007/s12928-018-0537-6
    19 sg:pub.10.1007/s12928-019-00627-4
    20 schema:datePublished 2021-01-11
    21 schema:datePublishedReg 2021-01-11
    22 schema:description Percutaneous coronary intervention (PCI) for complex lesions is still technically demanding and is associated with less favorable procedural parameters such as lower success rate, longer procedural time, higher contrast volume and unexpected complications. Because the conventional angiographic analysis is limited by the inability to visualize the plaque information and the occluded segment, cardiac computed tomography has evolved as an adjunct to invasive angiography to better characterize coronary lesions to improve success rates of PCI. Adding to routine image reconstructions by coronary computed tomography angiography, the thin-slab maximum intensity projection method, which is a handy reconstruction technique on an ordinary workstation, could provide easy-to-understand images to reveal the anatomical characteristics and the lumen and plaque information simultaneously, and then assist to build an in-depth strategy for PCI. Especially in the treatment of chronic total occlusion lesion, these informations have big advantages in the visualization of the morphologies of entry and exit, the occluded segment and the distribution of calcium compared to invasive coronary angiography. Despite of the additional radiation exposure, contrast use and cost for cardiac computed tomography, the precise analysis of lesion characteristics would consequently improve the procedural success and prevent the complication in complex PCI.
    23 schema:genre article
    24 schema:isAccessibleForFree false
    25 schema:isPartOf N9cedb1f03fa74f61b02d2d5b400551bc
    26 Nb030a14c461a4e4a84ea6cf1bddf67dd
    27 sg:journal.1042779
    28 schema:keywords additional radiation exposure
    29 adjunct
    30 advantages
    31 analysis
    32 anatomical characteristics
    33 angiographic analysis
    34 angiography
    35 big advantage
    36 calcium
    37 cardiac computed tomography
    38 characteristics
    39 chronic total occlusion (CTO) lesions
    40 complex coronary interventions
    41 complex lesions
    42 complex percutaneous coronary intervention
    43 complications
    44 computed tomography
    45 contrast use
    46 contrast volume
    47 coronary angiography
    48 coronary intervention
    49 coronary lesions
    50 cost
    51 depth strategy
    52 distribution
    53 distribution of calcium
    54 entry
    55 exit
    56 exposure
    57 higher contrast volume
    58 image reconstruction
    59 images
    60 inability
    61 information
    62 intervention
    63 invasive coronary angiography
    64 lesion characteristics
    65 lesions
    66 longer procedural time
    67 low success rate
    68 lumen
    69 maximum intensity projection method
    70 method
    71 morphology
    72 occlusion lesions
    73 ordinary workstations
    74 parameters
    75 percutaneous coronary intervention
    76 plaque information
    77 practical utilization
    78 precise analysis
    79 procedural parameters
    80 procedural success
    81 procedural time
    82 projection method
    83 radiation exposure
    84 rate
    85 reconstruction
    86 reconstruction technique
    87 segments
    88 strategies
    89 success
    90 success rate
    91 technique
    92 time
    93 tomography
    94 tomography angiography
    95 total occlusion lesions
    96 treatment
    97 unexpected complications
    98 use
    99 utilization
    100 visualization
    101 volume
    102 workstations
    103 schema:name Practical utilization of cardiac computed tomography for the success in complex coronary intervention
    104 schema:pagination 178-189
    105 schema:productId N3c565099243c4390b1d49ff7d04a3712
    106 N7c46fb65f5bf491690c5901d16cc0327
    107 N8cee84dff3d34d2a9a28c53ae4a57ba2
    108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1134480140
    109 https://doi.org/10.1007/s12928-020-00751-6
    110 schema:sdDatePublished 2022-09-02T16:08
    111 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    112 schema:sdPublisher Nf43debab8106466b9546dfa54d30ab36
    113 schema:url https://doi.org/10.1007/s12928-020-00751-6
    114 sgo:license sg:explorer/license/
    115 sgo:sdDataset articles
    116 rdf:type schema:ScholarlyArticle
    117 N2ca0012c2e6341be9fbe12c6d00e55db schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Tomography, X-Ray Computed
    119 rdf:type schema:DefinedTerm
    120 N2cb8dc3e93b34f99967be296b78e9c50 rdf:first sg:person.016657042642.17
    121 rdf:rest Nbb0d97030d284eb29edd8c57054dcee8
    122 N32d19e0a63a948b08b98310172fbdf82 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Coronary Occlusion
    124 rdf:type schema:DefinedTerm
    125 N333b8ecea9c9474ba1287c91d0bf7bc1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Humans
    127 rdf:type schema:DefinedTerm
    128 N34af0493b9344640a5d95c0b6462885d rdf:first sg:person.0736352554.19
    129 rdf:rest N8f047120f00d4e5098cf8efa6206da42
    130 N3c565099243c4390b1d49ff7d04a3712 schema:name dimensions_id
    131 schema:value pub.1134480140
    132 rdf:type schema:PropertyValue
    133 N4cb97baa9f3c4a1aa36f149c754ee387 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Coronary Angiography
    135 rdf:type schema:DefinedTerm
    136 N66fbe97238ef48059d99d94008a716a2 rdf:first sg:person.014541073462.14
    137 rdf:rest N2cb8dc3e93b34f99967be296b78e9c50
    138 N7c46fb65f5bf491690c5901d16cc0327 schema:name pubmed_id
    139 schema:value 33428155
    140 rdf:type schema:PropertyValue
    141 N7ef83242b0d14f499f0143a8a095b434 rdf:first sg:person.01370436311.67
    142 rdf:rest Nac0b3ffd38764e2697238360d3eeffb5
    143 N8cee84dff3d34d2a9a28c53ae4a57ba2 schema:name doi
    144 schema:value 10.1007/s12928-020-00751-6
    145 rdf:type schema:PropertyValue
    146 N8f047120f00d4e5098cf8efa6206da42 rdf:first sg:person.011613056142.58
    147 rdf:rest N95a1958461c2402787a1c4dc97bd8156
    148 N95a1958461c2402787a1c4dc97bd8156 rdf:first sg:person.0761604214.95
    149 rdf:rest Na7eaa217e7d04960a362e7f156553978
    150 N9cedb1f03fa74f61b02d2d5b400551bc schema:issueNumber 2
    151 rdf:type schema:PublicationIssue
    152 Na7eaa217e7d04960a362e7f156553978 rdf:first sg:person.01262062031.36
    153 rdf:rest N66fbe97238ef48059d99d94008a716a2
    154 Nac0b3ffd38764e2697238360d3eeffb5 rdf:first sg:person.011771702573.66
    155 rdf:rest Nea8c192b6a0f41578f28d5011a937a4a
    156 Nb030a14c461a4e4a84ea6cf1bddf67dd schema:volumeNumber 36
    157 rdf:type schema:PublicationVolume
    158 Nbb0d97030d284eb29edd8c57054dcee8 rdf:first sg:person.01230000060.40
    159 rdf:rest rdf:nil
    160 Nea8c192b6a0f41578f28d5011a937a4a rdf:first sg:person.01370203123.78
    161 rdf:rest N34af0493b9344640a5d95c0b6462885d
    162 Nf43debab8106466b9546dfa54d30ab36 schema:name Springer Nature - SN SciGraph project
    163 rdf:type schema:Organization
    164 Nff7f48b0b3a84acf8dad050767db1e11 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Percutaneous Coronary Intervention
    166 rdf:type schema:DefinedTerm
    167 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    168 schema:name Medical and Health Sciences
    169 rdf:type schema:DefinedTerm
    170 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
    171 schema:name Cardiorespiratory Medicine and Haematology
    172 rdf:type schema:DefinedTerm
    173 sg:journal.1042779 schema:issn 1868-4297
    174 1868-4300
    175 schema:name Cardiovascular Intervention and Therapeutics
    176 schema:publisher Springer Nature
    177 rdf:type schema:Periodical
    178 sg:person.011613056142.58 schema:affiliation grid-institutes:grid.459808.8
    179 schema:familyName Nakamura
    180 schema:givenName Sunao
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011613056142.58
    182 rdf:type schema:Person
    183 sg:person.011771702573.66 schema:affiliation grid-institutes:grid.459808.8
    184 schema:familyName Okutsu
    185 schema:givenName Masaaki
    186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011771702573.66
    187 rdf:type schema:Person
    188 sg:person.01230000060.40 schema:affiliation grid-institutes:grid.265061.6
    189 schema:familyName Ikari
    190 schema:givenName Yuji
    191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230000060.40
    192 rdf:type schema:Person
    193 sg:person.01262062031.36 schema:affiliation grid-institutes:grid.274841.c
    194 schema:familyName Tsujita
    195 schema:givenName Kenichi
    196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01262062031.36
    197 rdf:type schema:Person
    198 sg:person.01370203123.78 schema:affiliation grid-institutes:grid.136593.b
    199 schema:familyName Sumitsuji
    200 schema:givenName Satoru
    201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370203123.78
    202 rdf:type schema:Person
    203 sg:person.01370436311.67 schema:affiliation grid-institutes:None
    204 schema:familyName Sadamatsu
    205 schema:givenName Kenji
    206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01370436311.67
    207 rdf:type schema:Person
    208 sg:person.014541073462.14 schema:affiliation grid-institutes:None
    209 schema:familyName Sonoda
    210 schema:givenName Shinjo
    211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014541073462.14
    212 rdf:type schema:Person
    213 sg:person.016657042642.17 schema:affiliation grid-institutes:grid.136304.3
    214 schema:familyName Kobayashi
    215 schema:givenName Yoshio
    216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016657042642.17
    217 rdf:type schema:Person
    218 sg:person.0736352554.19 schema:affiliation grid-institutes:grid.415758.a
    219 schema:familyName Kawasaki
    220 schema:givenName Tomohiro
    221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0736352554.19
    222 rdf:type schema:Person
    223 sg:person.0761604214.95 schema:affiliation grid-institutes:grid.410781.b
    224 schema:familyName Fukumoto
    225 schema:givenName Yoshihiro
    226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0761604214.95
    227 rdf:type schema:Person
    228 sg:pub.10.1007/s00330-006-0433-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018096563
    229 https://doi.org/10.1007/s00330-006-0433-9
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1007/s00330-006-0531-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004599914
    232 https://doi.org/10.1007/s00330-006-0531-8
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1007/s00330-019-06139-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112942310
    235 https://doi.org/10.1007/s00330-019-06139-2
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1007/s00380-010-0059-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005286123
    238 https://doi.org/10.1007/s00380-010-0059-3
    239 rdf:type schema:CreativeWork
    240 sg:pub.10.1007/s00380-018-1160-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103222052
    241 https://doi.org/10.1007/s00380-018-1160-2
    242 rdf:type schema:CreativeWork
    243 sg:pub.10.1007/s10554-008-9385-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034032832
    244 https://doi.org/10.1007/s10554-008-9385-2
    245 rdf:type schema:CreativeWork
    246 sg:pub.10.1007/s10554-013-0258-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1051480010
    247 https://doi.org/10.1007/s10554-013-0258-y
    248 rdf:type schema:CreativeWork
    249 sg:pub.10.1007/s10554-018-1392-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104476223
    250 https://doi.org/10.1007/s10554-018-1392-3
    251 rdf:type schema:CreativeWork
    252 sg:pub.10.1007/s12410-020-09541-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1127574060
    253 https://doi.org/10.1007/s12410-020-09541-3
    254 rdf:type schema:CreativeWork
    255 sg:pub.10.1007/s12928-018-0537-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1105428454
    256 https://doi.org/10.1007/s12928-018-0537-6
    257 rdf:type schema:CreativeWork
    258 sg:pub.10.1007/s12928-019-00627-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1121944545
    259 https://doi.org/10.1007/s12928-019-00627-4
    260 rdf:type schema:CreativeWork
    261 grid-institutes:None schema:alternateName Department of Cardiovascular Medicine, Omuta City Hospital, 2-19-1 Takarazaka-machi, 836-8567, Omuta, Fukuoka, Japan
    262 Second Department of Internal Medicine, School of Medicine, University of Occupational and Environ- Mental Health, Kitakyushu, Japan
    263 schema:name Department of Cardiovascular Medicine, Omuta City Hospital, 2-19-1 Takarazaka-machi, 836-8567, Omuta, Fukuoka, Japan
    264 Second Department of Internal Medicine, School of Medicine, University of Occupational and Environ- Mental Health, Kitakyushu, Japan
    265 rdf:type schema:Organization
    266 grid-institutes:grid.136304.3 schema:alternateName Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
    267 schema:name Department of Cardiovascular Medicine, Chiba University Graduate School of Medicine, Chiba, Japan
    268 rdf:type schema:Organization
    269 grid-institutes:grid.136593.b schema:alternateName Department of Cardiology for International Education and Research, Osaka University Graduate School of Medicine, Osaka, Japan
    270 schema:name Department of Cardiology for International Education and Research, Osaka University Graduate School of Medicine, Osaka, Japan
    271 rdf:type schema:Organization
    272 grid-institutes:grid.265061.6 schema:alternateName Department of Cardiology, Tokai University, Kanagawa, Japan
    273 schema:name Department of Cardiology, Tokai University, Kanagawa, Japan
    274 rdf:type schema:Organization
    275 grid-institutes:grid.274841.c schema:alternateName Department of Cardiovascular Medicine, Kumamoto University Graduate School of Medical Science, Kumamoto, Japan
    276 schema:name Department of Cardiovascular Medicine, Kumamoto University Graduate School of Medical Science, Kumamoto, Japan
    277 rdf:type schema:Organization
    278 grid-institutes:grid.410781.b schema:alternateName Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan
    279 schema:name Division of Cardiovascular Medicine, Department of Internal Medicine, Kurume University School of Medicine, Kurume, Japan
    280 rdf:type schema:Organization
    281 grid-institutes:grid.415758.a schema:alternateName Cardiovascular and Heart Rhythm Center, Shin-Koga Hospital, Kurume, Japan
    282 schema:name Cardiovascular and Heart Rhythm Center, Shin-Koga Hospital, Kurume, Japan
    283 rdf:type schema:Organization
    284 grid-institutes:grid.459808.8 schema:alternateName Department of Cardiovascular Medicine, New Tokyo Hospital, Matsudo, Japan
    285 schema:name Department of Cardiovascular Medicine, New Tokyo Hospital, Matsudo, Japan
    286 rdf:type schema:Organization
     




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


    ...