Impact of thin-cap fibroatheroma on predicting deteriorated coronary flow during interventional procedures in acute as well as stable coronary syndromes: ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-07-19

AUTHORS

Tadatsugu Gamou, Kenji Sakata, Takao Matsubara, Toshihiko Yasuda, Kenji Miwa, Masaru Inoue, Honin Kanaya, Tetsuo Konno, Kenshi Hayashi, Masaaki Kawashiri, Masakazu Yamagishi

ABSTRACT

The occurrence of deteriorated coronary flow associated with distal embolization during percutaneous coronary intervention results in impaired myocardial perfusion and worsens the clinical prognosis. This study aimed to examine the impact of optical coherence tomography (OCT)-determined coronary plaque morphology on the prediction of deteriorated coronary flow after stent implantation in acute as well as stable coronary syndromes (ACS and SAP, respectively). We studied 126 patients who underwent OCT during stenting for ACS (n = 44) and SAP (n = 82) with a de novo lesion. Angiographic deteriorated coronary flow was defined as the deterioration of TIMI flow grade after mechanical dilatation in the absence of a mechanical obstruction on angiograms. Patients could be divided into the deteriorated flow group (n = 21) and the reflow group (n = 105). Under these conditions, the presence of thin-cap fibroatheroma (TCFA) was more frequently observed in the deteriorated flow group than in the reflow group in both ACS and SAP. A multivariable logistic regression model revealed that TCFA was an independent predictor of deteriorated coronary flow (hazard ratio: 12.32; 95 % confidence interval: 3.02–50.31; p = 0.0005). These results demonstrate that TCFA detected by OCT could be a strong predictor of the occurrence of deteriorated coronary flow during stent implantation in ACS as well as SAP. More... »

PAGES

719-727

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00380-014-0542-3

DOI

http://dx.doi.org/10.1007/s00380-014-0542-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1040785716

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25037112


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": "Acute Coronary Syndrome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Angina, Stable", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Logistic Models", 
        "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": "Multivariate Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Percutaneous Coronary Intervention", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plaque, Atherosclerotic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, Optical Coherence", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.9707.9", 
          "name": [
            "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gamou", 
        "givenName": "Tadatsugu", 
        "id": "sg:person.0607233257.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607233257.95"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.9707.9", 
          "name": [
            "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sakata", 
        "givenName": "Kenji", 
        "id": "sg:person.01316727765.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316727765.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414830.a", 
          "name": [
            "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Matsubara", 
        "givenName": "Takao", 
        "id": "sg:person.0672011045.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672011045.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414830.a", 
          "name": [
            "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yasuda", 
        "givenName": "Toshihiko", 
        "id": "sg:person.01034331671.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034331671.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414830.a", 
          "name": [
            "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miwa", 
        "givenName": "Kenji", 
        "id": "sg:person.01204163607.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204163607.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414830.a", 
          "name": [
            "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inoue", 
        "givenName": "Masaru", 
        "id": "sg:person.01073251434.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073251434.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.414830.a", 
          "name": [
            "Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanaya", 
        "givenName": "Honin", 
        "id": "sg:person.01345026327.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345026327.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.9707.9", 
          "name": [
            "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Konno", 
        "givenName": "Tetsuo", 
        "id": "sg:person.01362470722.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362470722.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.9707.9", 
          "name": [
            "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hayashi", 
        "givenName": "Kenshi", 
        "id": "sg:person.0762321530.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762321530.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.9707.9", 
          "name": [
            "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kawashiri", 
        "givenName": "Masaaki", 
        "id": "sg:person.0770006522.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770006522.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.9707.9", 
          "name": [
            "Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamagishi", 
        "givenName": "Masakazu", 
        "id": "sg:person.01111610241.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111610241.58"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00380-014-0477-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021748357", 
          "https://doi.org/10.1007/s00380-014-0477-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00380-011-0175-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004165246", 
          "https://doi.org/10.1007/s00380-011-0175-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00380-011-0144-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039874407", 
          "https://doi.org/10.1007/s00380-011-0144-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-07-19", 
    "datePublishedReg": "2014-07-19", 
    "description": "The occurrence of deteriorated coronary flow associated with distal embolization during percutaneous coronary intervention results in impaired myocardial perfusion and worsens the clinical prognosis. This study aimed to examine the impact of optical coherence tomography (OCT)-determined coronary plaque morphology on the prediction of deteriorated coronary flow after stent implantation in acute as well as stable coronary syndromes (ACS and SAP, respectively). We studied 126 patients who underwent OCT during stenting for ACS (n\u00a0=\u00a044) and SAP (n\u00a0=\u00a082) with a de novo lesion. Angiographic deteriorated coronary flow was defined as the deterioration of TIMI flow grade after mechanical dilatation in the absence of a mechanical obstruction on angiograms. Patients could be divided into the deteriorated flow group (n\u00a0=\u00a021) and the reflow group (n\u00a0=\u00a0105). Under these conditions, the presence of thin-cap fibroatheroma (TCFA) was more frequently observed in the deteriorated flow group than in the reflow group in both ACS and SAP. A multivariable logistic regression model revealed that TCFA was an independent predictor of deteriorated coronary flow (hazard ratio: 12.32; 95\u00a0% confidence interval: 3.02\u201350.31; p\u00a0=\u00a00.0005). These results demonstrate that TCFA detected by OCT could be a strong predictor of the occurrence of deteriorated coronary flow during stent implantation in ACS as well as SAP.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s00380-014-0542-3", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1095887", 
        "issn": [
          "0910-8327", 
          "1615-2573"
        ], 
        "name": "Heart and Vessels", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "6", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "30"
      }
    ], 
    "keywords": [
      "thin-cap fibroatheroma", 
      "stable coronary syndromes", 
      "coronary flow", 
      "reflow group", 
      "coronary syndrome", 
      "stent implantation", 
      "Percutaneous Coronary Intervention Results", 
      "multivariable logistic regression model", 
      "optical coherence tomography analysis", 
      "coronary plaque morphology", 
      "flow group", 
      "optical coherence tomography", 
      "logistic regression models", 
      "novo lesions", 
      "distal embolization", 
      "independent predictors", 
      "mechanical obstruction", 
      "mechanical dilatation", 
      "clinical prognosis", 
      "myocardial perfusion", 
      "plaque morphology", 
      "interventional procedures", 
      "coherence tomography", 
      "intervention results", 
      "fibroatheroma", 
      "patients", 
      "strongest predictor", 
      "syndrome", 
      "tomography analysis", 
      "regression models", 
      "ACS", 
      "implantation", 
      "predictors", 
      "group", 
      "TIMI", 
      "embolization", 
      "prognosis", 
      "angiographic", 
      "angiograms", 
      "dilatation", 
      "obstruction", 
      "perfusion", 
      "lesions", 
      "tomography", 
      "occurrence", 
      "grade", 
      "deterioration", 
      "absence", 
      "study", 
      "sap", 
      "impact", 
      "procedure", 
      "presence", 
      "results", 
      "analysis", 
      "flow", 
      "insights", 
      "conditions", 
      "model", 
      "morphology", 
      "prediction"
    ], 
    "name": "Impact of thin-cap fibroatheroma on predicting deteriorated coronary flow during interventional procedures in acute as well as stable coronary syndromes: insights from optical coherence tomography analysis", 
    "pagination": "719-727", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1040785716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00380-014-0542-3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25037112"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00380-014-0542-3", 
      "https://app.dimensions.ai/details/publication/pub.1040785716"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_624.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s00380-014-0542-3"
  }
]
 

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/s00380-014-0542-3'

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/s00380-014-0542-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00380-014-0542-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00380-014-0542-3'


 

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

279 TRIPLES      21 PREDICATES      107 URIs      96 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00380-014-0542-3 schema:about N1d822529cf3c48db9d1d273e866029af
2 N2f9282d0230f43c18c6a2ced33b58a15
3 N32cacf56cb6344e2a065da875f701de8
4 N4dfd0621e8c94ae6a816f230cb935a05
5 N58c983f26c16481c954c698354863f61
6 N5c764675cb0f48eda8e69fa10d449a6e
7 N60c6d57db0624c4a9d7f9cef100fd482
8 N857da9eb3b0c496088314e244da6d328
9 N9eb3946a74d34d3a97a719922feb3f75
10 Na5cd1ca82feb4391ac487774c55a9bfb
11 Nba52446ada684da8b6959e1a7b6643a0
12 Nbc06fde197174f71ae04d0f7317aec55
13 Nc12ccf7ebe9649b6825d342abeb7bff6
14 Nd090e44eb33845338096f58d40072082
15 Ne3ae126108824539802a9872a6e0bc65
16 Ne8ab267164b540e5ad1df5516ab6240c
17 Nec22343cefb141e899ae245a683d7e5a
18 Nfa3c3c8813a44f868ad7d9324ca6e0c6
19 anzsrc-for:11
20 anzsrc-for:1102
21 schema:author Nd40336b70d0a4701be73b0436fafc868
22 schema:citation sg:pub.10.1007/s00380-011-0144-2
23 sg:pub.10.1007/s00380-011-0175-8
24 sg:pub.10.1007/s00380-014-0477-8
25 schema:datePublished 2014-07-19
26 schema:datePublishedReg 2014-07-19
27 schema:description The occurrence of deteriorated coronary flow associated with distal embolization during percutaneous coronary intervention results in impaired myocardial perfusion and worsens the clinical prognosis. This study aimed to examine the impact of optical coherence tomography (OCT)-determined coronary plaque morphology on the prediction of deteriorated coronary flow after stent implantation in acute as well as stable coronary syndromes (ACS and SAP, respectively). We studied 126 patients who underwent OCT during stenting for ACS (n = 44) and SAP (n = 82) with a de novo lesion. Angiographic deteriorated coronary flow was defined as the deterioration of TIMI flow grade after mechanical dilatation in the absence of a mechanical obstruction on angiograms. Patients could be divided into the deteriorated flow group (n = 21) and the reflow group (n = 105). Under these conditions, the presence of thin-cap fibroatheroma (TCFA) was more frequently observed in the deteriorated flow group than in the reflow group in both ACS and SAP. A multivariable logistic regression model revealed that TCFA was an independent predictor of deteriorated coronary flow (hazard ratio: 12.32; 95 % confidence interval: 3.02–50.31; p = 0.0005). These results demonstrate that TCFA detected by OCT could be a strong predictor of the occurrence of deteriorated coronary flow during stent implantation in ACS as well as SAP.
28 schema:genre article
29 schema:isAccessibleForFree false
30 schema:isPartOf N16befdc7f95149a5bae5e6fcc6f65358
31 Na9acdca7d6674c1dbb90a47e85df867e
32 sg:journal.1095887
33 schema:keywords ACS
34 Percutaneous Coronary Intervention Results
35 TIMI
36 absence
37 analysis
38 angiograms
39 angiographic
40 clinical prognosis
41 coherence tomography
42 conditions
43 coronary flow
44 coronary plaque morphology
45 coronary syndrome
46 deterioration
47 dilatation
48 distal embolization
49 embolization
50 fibroatheroma
51 flow
52 flow group
53 grade
54 group
55 impact
56 implantation
57 independent predictors
58 insights
59 intervention results
60 interventional procedures
61 lesions
62 logistic regression models
63 mechanical dilatation
64 mechanical obstruction
65 model
66 morphology
67 multivariable logistic regression model
68 myocardial perfusion
69 novo lesions
70 obstruction
71 occurrence
72 optical coherence tomography
73 optical coherence tomography analysis
74 patients
75 perfusion
76 plaque morphology
77 prediction
78 predictors
79 presence
80 procedure
81 prognosis
82 reflow group
83 regression models
84 results
85 sap
86 stable coronary syndromes
87 stent implantation
88 strongest predictor
89 study
90 syndrome
91 thin-cap fibroatheroma
92 tomography
93 tomography analysis
94 schema:name Impact of thin-cap fibroatheroma on predicting deteriorated coronary flow during interventional procedures in acute as well as stable coronary syndromes: insights from optical coherence tomography analysis
95 schema:pagination 719-727
96 schema:productId N44724a56b92d4810b6649733e6537ec6
97 N63baca08f68344f59b255cddc5457df8
98 N6817641e2a7d470cbc58ff40b120ba48
99 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040785716
100 https://doi.org/10.1007/s00380-014-0542-3
101 schema:sdDatePublished 2022-08-04T17:01
102 schema:sdLicense https://scigraph.springernature.com/explorer/license/
103 schema:sdPublisher Na4e809bfe8044449ba5393f75b54d5d5
104 schema:url https://doi.org/10.1007/s00380-014-0542-3
105 sgo:license sg:explorer/license/
106 sgo:sdDataset articles
107 rdf:type schema:ScholarlyArticle
108 N16befdc7f95149a5bae5e6fcc6f65358 schema:volumeNumber 30
109 rdf:type schema:PublicationVolume
110 N1d822529cf3c48db9d1d273e866029af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Japan
112 rdf:type schema:DefinedTerm
113 N2f9282d0230f43c18c6a2ced33b58a15 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Tomography, Optical Coherence
115 rdf:type schema:DefinedTerm
116 N32cacf56cb6344e2a065da875f701de8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Prognosis
118 rdf:type schema:DefinedTerm
119 N44724a56b92d4810b6649733e6537ec6 schema:name doi
120 schema:value 10.1007/s00380-014-0542-3
121 rdf:type schema:PropertyValue
122 N4dfd0621e8c94ae6a816f230cb935a05 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Heart
124 rdf:type schema:DefinedTerm
125 N58c983f26c16481c954c698354863f61 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Acute Coronary Syndrome
127 rdf:type schema:DefinedTerm
128 N5c764675cb0f48eda8e69fa10d449a6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Humans
130 rdf:type schema:DefinedTerm
131 N60c6d57db0624c4a9d7f9cef100fd482 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Angina, Stable
133 rdf:type schema:DefinedTerm
134 N63baca08f68344f59b255cddc5457df8 schema:name dimensions_id
135 schema:value pub.1040785716
136 rdf:type schema:PropertyValue
137 N6817641e2a7d470cbc58ff40b120ba48 schema:name pubmed_id
138 schema:value 25037112
139 rdf:type schema:PropertyValue
140 N72d372220a934bca97f3ecb3028491a5 rdf:first sg:person.01111610241.58
141 rdf:rest rdf:nil
142 N7a33e280bb6b47d8bd07cafea7ce5e48 rdf:first sg:person.01362470722.15
143 rdf:rest Nc921516287db4f059497f27e9617b884
144 N7c45e12d3d4d4fd896bf3a9c9924cd90 rdf:first sg:person.01034331671.44
145 rdf:rest N9e017dcde9264a16bd3140899d1cf1fa
146 N857da9eb3b0c496088314e244da6d328 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Multivariate Analysis
148 rdf:type schema:DefinedTerm
149 N88193eebc4b84d89b19191c734ff790b rdf:first sg:person.01345026327.98
150 rdf:rest N7a33e280bb6b47d8bd07cafea7ce5e48
151 N9ddba8cfc3054fc8a26fb45a1bd17f37 rdf:first sg:person.0770006522.11
152 rdf:rest N72d372220a934bca97f3ecb3028491a5
153 N9e017dcde9264a16bd3140899d1cf1fa rdf:first sg:person.01204163607.43
154 rdf:rest Necc00e429a934eae8c4f2b45bc3094e7
155 N9eb3946a74d34d3a97a719922feb3f75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Stents
157 rdf:type schema:DefinedTerm
158 Na4e809bfe8044449ba5393f75b54d5d5 schema:name Springer Nature - SN SciGraph project
159 rdf:type schema:Organization
160 Na5cd1ca82feb4391ac487774c55a9bfb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Predictive Value of Tests
162 rdf:type schema:DefinedTerm
163 Na9acdca7d6674c1dbb90a47e85df867e schema:issueNumber 6
164 rdf:type schema:PublicationIssue
165 Nb6f9bc346c374a3e9be2db226705a357 rdf:first sg:person.0672011045.37
166 rdf:rest N7c45e12d3d4d4fd896bf3a9c9924cd90
167 Nba52446ada684da8b6959e1a7b6643a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Aged
169 rdf:type schema:DefinedTerm
170 Nbc06fde197174f71ae04d0f7317aec55 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Middle Aged
172 rdf:type schema:DefinedTerm
173 Nc12ccf7ebe9649b6825d342abeb7bff6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Coronary Angiography
175 rdf:type schema:DefinedTerm
176 Nc921516287db4f059497f27e9617b884 rdf:first sg:person.0762321530.31
177 rdf:rest N9ddba8cfc3054fc8a26fb45a1bd17f37
178 Nd090e44eb33845338096f58d40072082 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name Logistic Models
180 rdf:type schema:DefinedTerm
181 Nd40336b70d0a4701be73b0436fafc868 rdf:first sg:person.0607233257.95
182 rdf:rest Nfda49314aa9e4537957e389e626756a1
183 Ne3ae126108824539802a9872a6e0bc65 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Percutaneous Coronary Intervention
185 rdf:type schema:DefinedTerm
186 Ne8ab267164b540e5ad1df5516ab6240c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Female
188 rdf:type schema:DefinedTerm
189 Nec22343cefb141e899ae245a683d7e5a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Male
191 rdf:type schema:DefinedTerm
192 Necc00e429a934eae8c4f2b45bc3094e7 rdf:first sg:person.01073251434.64
193 rdf:rest N88193eebc4b84d89b19191c734ff790b
194 Nfa3c3c8813a44f868ad7d9324ca6e0c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Plaque, Atherosclerotic
196 rdf:type schema:DefinedTerm
197 Nfda49314aa9e4537957e389e626756a1 rdf:first sg:person.01316727765.17
198 rdf:rest Nb6f9bc346c374a3e9be2db226705a357
199 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
200 schema:name Medical and Health Sciences
201 rdf:type schema:DefinedTerm
202 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
203 schema:name Cardiorespiratory Medicine and Haematology
204 rdf:type schema:DefinedTerm
205 sg:journal.1095887 schema:issn 0910-8327
206 1615-2573
207 schema:name Heart and Vessels
208 schema:publisher Springer Nature
209 rdf:type schema:Periodical
210 sg:person.01034331671.44 schema:affiliation grid-institutes:grid.414830.a
211 schema:familyName Yasuda
212 schema:givenName Toshihiko
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01034331671.44
214 rdf:type schema:Person
215 sg:person.01073251434.64 schema:affiliation grid-institutes:grid.414830.a
216 schema:familyName Inoue
217 schema:givenName Masaru
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01073251434.64
219 rdf:type schema:Person
220 sg:person.01111610241.58 schema:affiliation grid-institutes:grid.9707.9
221 schema:familyName Yamagishi
222 schema:givenName Masakazu
223 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01111610241.58
224 rdf:type schema:Person
225 sg:person.01204163607.43 schema:affiliation grid-institutes:grid.414830.a
226 schema:familyName Miwa
227 schema:givenName Kenji
228 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204163607.43
229 rdf:type schema:Person
230 sg:person.01316727765.17 schema:affiliation grid-institutes:grid.9707.9
231 schema:familyName Sakata
232 schema:givenName Kenji
233 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01316727765.17
234 rdf:type schema:Person
235 sg:person.01345026327.98 schema:affiliation grid-institutes:grid.414830.a
236 schema:familyName Kanaya
237 schema:givenName Honin
238 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345026327.98
239 rdf:type schema:Person
240 sg:person.01362470722.15 schema:affiliation grid-institutes:grid.9707.9
241 schema:familyName Konno
242 schema:givenName Tetsuo
243 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01362470722.15
244 rdf:type schema:Person
245 sg:person.0607233257.95 schema:affiliation grid-institutes:grid.9707.9
246 schema:familyName Gamou
247 schema:givenName Tadatsugu
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607233257.95
249 rdf:type schema:Person
250 sg:person.0672011045.37 schema:affiliation grid-institutes:grid.414830.a
251 schema:familyName Matsubara
252 schema:givenName Takao
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0672011045.37
254 rdf:type schema:Person
255 sg:person.0762321530.31 schema:affiliation grid-institutes:grid.9707.9
256 schema:familyName Hayashi
257 schema:givenName Kenshi
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762321530.31
259 rdf:type schema:Person
260 sg:person.0770006522.11 schema:affiliation grid-institutes:grid.9707.9
261 schema:familyName Kawashiri
262 schema:givenName Masaaki
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0770006522.11
264 rdf:type schema:Person
265 sg:pub.10.1007/s00380-011-0144-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039874407
266 https://doi.org/10.1007/s00380-011-0144-2
267 rdf:type schema:CreativeWork
268 sg:pub.10.1007/s00380-011-0175-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004165246
269 https://doi.org/10.1007/s00380-011-0175-8
270 rdf:type schema:CreativeWork
271 sg:pub.10.1007/s00380-014-0477-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021748357
272 https://doi.org/10.1007/s00380-014-0477-8
273 rdf:type schema:CreativeWork
274 grid-institutes:grid.414830.a schema:alternateName Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan
275 schema:name Department of Cardiology, Ishikawa Prefectural Central Hospital, Kanazawa, Japan
276 rdf:type schema:Organization
277 grid-institutes:grid.9707.9 schema:alternateName Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan
278 schema:name Division of Cardiovascular Medicine, Kanazawa University Graduate School of Medicine, 13-1 Takara-machi, 920-8640, Kanazawa, Ishikawa, Japan
279 rdf:type schema:Organization
 




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


...