Prognostic value of resting coronary sinus flow determined by phase-contrast cine cardiovascular magnetic resonance in patients with known or suspected ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-08-19

AUTHORS

Shingo Kato, Kazuki Fukui, Sho Kodama, Mai Azuma, Naoki Nakayama, Tae Iwasawa, Kazuo Kimura, Kouichi Tamura, Daisuke Utsunomiya

ABSTRACT

BackgroundPhase-contrast cine cardiovascular magnetic resonance (CMR) of the coronary sinus has emerged as a non-invasive method to measure coronary sinus blood flow (CSBF) and coronary flow reserve (CFR). We aimed to compare the prognostic value of resting CSBF and CFR for predicting major adverse cardiac events (MACE) in patients with known or suspected coronary artery disease (CAD) who underwent vasodilator stress CMR. MethodsWe studied 693 patients with known CAD and 519 patients with suspected CAD admitted to our hospital between 2009 and 2019. The CFR was calculated as the CSBF during adenosine triphosphate infusion divided by CSBF at rest. MACE was defined as composite of cardiovascular death, acute coronary syndrome, heart failure hospitalization, and sustained ventricular tachyarrhythmia.ResultsDuring a median follow-up of 4.6 years, 92 patients (8%) experienced MACE. The resting CSBF was significantly higher in patients with MACE than in patients without MACE (114.7 ± 44.9 mL/min vs. 84.7 ± 30.9 mL/min, p < 0.001 for known CAD; 122.2 ± 33.3 mL/min vs. 86.6 ± 36.7 mL/min, p < 0.001 for suspected CAD). The resting CSBF remained a significant predictor for MACE after adjusting clinical and CMR variables (hazard ratio [HR] of resting CSBF higher than the median: 3.18, p = 0.0083 for known CAD; HR: 23.3, p < 0.001 for suspected CAD). The area under the curve for predicting MACE was 0.73 for resting CSBF, 0.72 for CFR (p = 0.78) in patients with known CAD, and 0.82 for resting CSBF, 0.83 (p = 0.58) for CFR in patients with suspected CAD.ConclusionsThe resting CSBF may be a useful non-invasive method for the risk stratification of patients with known or suspected CAD without any radiation exposure, contrast media, or pharmacological vasodilator agents. More... »

PAGES

97

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12968-021-00790-9

DOI

http://dx.doi.org/10.1186/s12968-021-00790-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1140504077

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34407857


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 Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Sinus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging, Cine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Spectroscopy", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Diagnostic Radiology, Yokohama City Graduate School of Medicine, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Diagnostic Radiology, Yokohama City Graduate School of Medicine, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kato", 
        "givenName": "Shingo", 
        "id": "sg:person.01360015547.94", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360015547.94"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
            "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukui", 
        "givenName": "Kazuki", 
        "id": "sg:person.0650622624.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650622624.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
            "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kodama", 
        "givenName": "Sho", 
        "id": "sg:person.013056552235.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013056552235.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
            "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Azuma", 
        "givenName": "Mai", 
        "id": "sg:person.014111730201.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014111730201.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.419708.3", 
          "name": [
            "Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan", 
            "Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakayama", 
        "givenName": "Naoki", 
        "id": "sg:person.01371456341.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371456341.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413045.7", 
          "name": [
            "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iwasawa", 
        "givenName": "Tae", 
        "id": "sg:person.0775461372.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775461372.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413045.7", 
          "name": [
            "Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kimura", 
        "givenName": "Kazuo", 
        "id": "sg:person.016170645072.55", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016170645072.55"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.268441.d", 
          "name": [
            "Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tamura", 
        "givenName": "Kouichi", 
        "id": "sg:person.013174322507.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013174322507.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Diagnostic Radiology, Yokohama City Graduate School of Medicine, Yokohama, Kanagawa, Japan", 
          "id": "http://www.grid.ac/institutes/grid.26999.3d", 
          "name": [
            "Department of Diagnostic Radiology, Yokohama City Graduate School of Medicine, Yokohama, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Utsunomiya", 
        "givenName": "Daisuke", 
        "id": "sg:person.01057517177.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057517177.81"
        ], 
        "type": "Person"
      }
    ], 
    "datePublished": "2021-08-19", 
    "datePublishedReg": "2021-08-19", 
    "description": "BackgroundPhase-contrast cine cardiovascular magnetic resonance (CMR) of the coronary sinus has emerged as a non-invasive method to measure coronary sinus blood flow (CSBF) and coronary flow reserve (CFR). We aimed to compare the prognostic value of resting CSBF and CFR for predicting major adverse cardiac events (MACE) in patients with known or suspected coronary artery disease (CAD) who underwent vasodilator stress CMR.\nMethodsWe studied 693 patients with known CAD and 519 patients with suspected CAD admitted to our hospital between 2009 and 2019. The CFR was calculated as the CSBF during adenosine triphosphate infusion divided by CSBF at rest. MACE was defined as composite of cardiovascular death, acute coronary syndrome, heart failure hospitalization, and sustained ventricular tachyarrhythmia.ResultsDuring a median follow-up of 4.6\u00a0years, 92 patients (8%) experienced MACE. The resting CSBF was significantly higher in patients with MACE than in patients without MACE (114.7\u2009\u00b1\u200944.9\u00a0mL/min vs. 84.7\u2009\u00b1\u200930.9\u00a0mL/min, p\u2009<\u20090.001 for known CAD; 122.2\u2009\u00b1\u200933.3\u00a0mL/min vs. 86.6\u2009\u00b1\u200936.7\u00a0mL/min, p\u2009<\u20090.001 for suspected CAD). The resting CSBF remained a significant predictor for MACE after adjusting clinical and CMR variables (hazard ratio [HR] of resting CSBF higher than the median: 3.18, p\u2009=\u20090.0083 for known CAD; HR: 23.3, p\u2009<\u20090.001 for suspected CAD). The area under the curve for predicting MACE was 0.73 for resting CSBF, 0.72 for CFR (p\u2009=\u20090.78) in patients with known CAD, and 0.82 for resting CSBF, 0.83 (p\u2009=\u20090.58) for CFR in patients with suspected CAD.ConclusionsThe resting CSBF may be a useful non-invasive method for the risk stratification of patients with known or suspected CAD without any radiation exposure, contrast media, or pharmacological vasodilator agents.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12968-021-00790-9", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1030439", 
        "issn": [
          "1548-7679", 
          "1879-2855"
        ], 
        "name": "Journal of Cardiovascular Magnetic Resonance", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "keywords": [
      "major adverse cardiac events", 
      "coronary sinus blood flow", 
      "coronary artery disease", 
      "coronary flow reserve", 
      "cine cardiovascular magnetic resonance", 
      "cardiovascular magnetic resonance", 
      "artery disease", 
      "prognostic value", 
      "non-invasive method", 
      "adenosine triphosphate infusion", 
      "adverse cardiac events", 
      "heart failure hospitalization", 
      "acute coronary syndrome", 
      "sinus blood flow", 
      "coronary sinus flow", 
      "useful non-invasive method", 
      "triphosphate infusion", 
      "cardiovascular death", 
      "coronary syndrome", 
      "failure hospitalization", 
      "cardiac events", 
      "coronary sinus", 
      "CMR variables", 
      "vasodilator agents", 
      "risk stratification", 
      "ventricular tachyarrhythmias", 
      "sinus flow", 
      "flow reserve", 
      "blood flow", 
      "patients", 
      "magnetic resonance", 
      "contrast medium", 
      "radiation exposure", 
      "significant predictors", 
      "disease", 
      "hospitalization", 
      "tachyarrhythmias", 
      "sinus", 
      "hospital", 
      "infusion", 
      "syndrome", 
      "MethodsWe", 
      "death", 
      "predictors", 
      "exposure", 
      "stratification", 
      "years", 
      "agents", 
      "rest", 
      "events", 
      "values", 
      "variables", 
      "curves", 
      "method", 
      "reserves", 
      "area", 
      "resonance", 
      "flow", 
      "medium"
    ], 
    "name": "Prognostic value of resting coronary sinus flow determined by phase-contrast cine cardiovascular magnetic resonance in patients with known or suspected coronary artery disease", 
    "pagination": "97", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1140504077"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12968-021-00790-9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34407857"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12968-021-00790-9", 
      "https://app.dimensions.ai/details/publication/pub.1140504077"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:42", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_889.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12968-021-00790-9"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12968-021-00790-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12968-021-00790-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12968-021-00790-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12968-021-00790-9'


 

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

214 TRIPLES      20 PREDICATES      91 URIs      83 LITERALS      14 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12968-021-00790-9 schema:about N0192d334ca394d0a87728ae7a99b558f
2 N062b295779e84aa0934de728de3a48ca
3 N569b11a8f3314feaa9dcc53ec9d80a80
4 N71054f6a27334c19a87a6d17fe5f49fe
5 N915468f381764f8bb3a083adf660d067
6 Na058fa6611954411bb8fe1f068fa404a
7 Nfa51358fdd6c44b08575a156df7d977f
8 anzsrc-for:11
9 anzsrc-for:1102
10 schema:author Nf01f363176004d5db33329f0cb413a07
11 schema:datePublished 2021-08-19
12 schema:datePublishedReg 2021-08-19
13 schema:description BackgroundPhase-contrast cine cardiovascular magnetic resonance (CMR) of the coronary sinus has emerged as a non-invasive method to measure coronary sinus blood flow (CSBF) and coronary flow reserve (CFR). We aimed to compare the prognostic value of resting CSBF and CFR for predicting major adverse cardiac events (MACE) in patients with known or suspected coronary artery disease (CAD) who underwent vasodilator stress CMR. MethodsWe studied 693 patients with known CAD and 519 patients with suspected CAD admitted to our hospital between 2009 and 2019. The CFR was calculated as the CSBF during adenosine triphosphate infusion divided by CSBF at rest. MACE was defined as composite of cardiovascular death, acute coronary syndrome, heart failure hospitalization, and sustained ventricular tachyarrhythmia.ResultsDuring a median follow-up of 4.6 years, 92 patients (8%) experienced MACE. The resting CSBF was significantly higher in patients with MACE than in patients without MACE (114.7 ± 44.9 mL/min vs. 84.7 ± 30.9 mL/min, p < 0.001 for known CAD; 122.2 ± 33.3 mL/min vs. 86.6 ± 36.7 mL/min, p < 0.001 for suspected CAD). The resting CSBF remained a significant predictor for MACE after adjusting clinical and CMR variables (hazard ratio [HR] of resting CSBF higher than the median: 3.18, p = 0.0083 for known CAD; HR: 23.3, p < 0.001 for suspected CAD). The area under the curve for predicting MACE was 0.73 for resting CSBF, 0.72 for CFR (p = 0.78) in patients with known CAD, and 0.82 for resting CSBF, 0.83 (p = 0.58) for CFR in patients with suspected CAD.ConclusionsThe resting CSBF may be a useful non-invasive method for the risk stratification of patients with known or suspected CAD without any radiation exposure, contrast media, or pharmacological vasodilator agents.
14 schema:genre article
15 schema:isAccessibleForFree true
16 schema:isPartOf N1ba83e8376a846ceada957e0a75b1eb2
17 N4ce2ee702c9f46168bda20acfd5e0636
18 sg:journal.1030439
19 schema:keywords CMR variables
20 MethodsWe
21 acute coronary syndrome
22 adenosine triphosphate infusion
23 adverse cardiac events
24 agents
25 area
26 artery disease
27 blood flow
28 cardiac events
29 cardiovascular death
30 cardiovascular magnetic resonance
31 cine cardiovascular magnetic resonance
32 contrast medium
33 coronary artery disease
34 coronary flow reserve
35 coronary sinus
36 coronary sinus blood flow
37 coronary sinus flow
38 coronary syndrome
39 curves
40 death
41 disease
42 events
43 exposure
44 failure hospitalization
45 flow
46 flow reserve
47 heart failure hospitalization
48 hospital
49 hospitalization
50 infusion
51 magnetic resonance
52 major adverse cardiac events
53 medium
54 method
55 non-invasive method
56 patients
57 predictors
58 prognostic value
59 radiation exposure
60 reserves
61 resonance
62 rest
63 risk stratification
64 significant predictors
65 sinus
66 sinus blood flow
67 sinus flow
68 stratification
69 syndrome
70 tachyarrhythmias
71 triphosphate infusion
72 useful non-invasive method
73 values
74 variables
75 vasodilator agents
76 ventricular tachyarrhythmias
77 years
78 schema:name Prognostic value of resting coronary sinus flow determined by phase-contrast cine cardiovascular magnetic resonance in patients with known or suspected coronary artery disease
79 schema:pagination 97
80 schema:productId N061daffe56cf4c9abbdc36f8dfa74a81
81 N1c13a0ba8b0c406e83929ce9c4f5a52b
82 N57459a1bb5ff484a8e19db21a5a83014
83 schema:sameAs https://app.dimensions.ai/details/publication/pub.1140504077
84 https://doi.org/10.1186/s12968-021-00790-9
85 schema:sdDatePublished 2022-12-01T06:42
86 schema:sdLicense https://scigraph.springernature.com/explorer/license/
87 schema:sdPublisher Ndec0575e78da4e66ba46430d72659d8f
88 schema:url https://doi.org/10.1186/s12968-021-00790-9
89 sgo:license sg:explorer/license/
90 sgo:sdDataset articles
91 rdf:type schema:ScholarlyArticle
92 N0192d334ca394d0a87728ae7a99b558f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Coronary Sinus
94 rdf:type schema:DefinedTerm
95 N061daffe56cf4c9abbdc36f8dfa74a81 schema:name doi
96 schema:value 10.1186/s12968-021-00790-9
97 rdf:type schema:PropertyValue
98 N062b295779e84aa0934de728de3a48ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Magnetic Resonance Imaging, Cine
100 rdf:type schema:DefinedTerm
101 N1ba83e8376a846ceada957e0a75b1eb2 schema:issueNumber 1
102 rdf:type schema:PublicationIssue
103 N1c13a0ba8b0c406e83929ce9c4f5a52b schema:name pubmed_id
104 schema:value 34407857
105 rdf:type schema:PropertyValue
106 N3fcdaeb8b24a441b90ce89b64cac5972 rdf:first sg:person.0775461372.89
107 rdf:rest Ne1edd4ce5bf9498eaac25f8ff45038b2
108 N4756f9696d394819861ffb67f73d6efd rdf:first sg:person.0650622624.12
109 rdf:rest N8a8a58a60c9d46b9b8a5f82a279df778
110 N4ce2ee702c9f46168bda20acfd5e0636 schema:volumeNumber 23
111 rdf:type schema:PublicationVolume
112 N569b11a8f3314feaa9dcc53ec9d80a80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Coronary Artery Disease
114 rdf:type schema:DefinedTerm
115 N57459a1bb5ff484a8e19db21a5a83014 schema:name dimensions_id
116 schema:value pub.1140504077
117 rdf:type schema:PropertyValue
118 N71054f6a27334c19a87a6d17fe5f49fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Predictive Value of Tests
120 rdf:type schema:DefinedTerm
121 N8a8a58a60c9d46b9b8a5f82a279df778 rdf:first sg:person.013056552235.96
122 rdf:rest Nce4be20f9c7b4d57bdadefd6420aac59
123 N8e633ac5345d47cdb688be3b129a3f33 rdf:first sg:person.013174322507.05
124 rdf:rest Nd3afcb6054264d2084e84a98dcc8a404
125 N915468f381764f8bb3a083adf660d067 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Magnetic Resonance Spectroscopy
127 rdf:type schema:DefinedTerm
128 Na058fa6611954411bb8fe1f068fa404a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Prognosis
130 rdf:type schema:DefinedTerm
131 Nce4be20f9c7b4d57bdadefd6420aac59 rdf:first sg:person.014111730201.09
132 rdf:rest Nf61f751851564823b3407d677352c26d
133 Nd3afcb6054264d2084e84a98dcc8a404 rdf:first sg:person.01057517177.81
134 rdf:rest rdf:nil
135 Ndec0575e78da4e66ba46430d72659d8f schema:name Springer Nature - SN SciGraph project
136 rdf:type schema:Organization
137 Ne1edd4ce5bf9498eaac25f8ff45038b2 rdf:first sg:person.016170645072.55
138 rdf:rest N8e633ac5345d47cdb688be3b129a3f33
139 Nf01f363176004d5db33329f0cb413a07 rdf:first sg:person.01360015547.94
140 rdf:rest N4756f9696d394819861ffb67f73d6efd
141 Nf61f751851564823b3407d677352c26d rdf:first sg:person.01371456341.82
142 rdf:rest N3fcdaeb8b24a441b90ce89b64cac5972
143 Nfa51358fdd6c44b08575a156df7d977f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Humans
145 rdf:type schema:DefinedTerm
146 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
147 schema:name Medical and Health Sciences
148 rdf:type schema:DefinedTerm
149 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
150 schema:name Cardiorespiratory Medicine and Haematology
151 rdf:type schema:DefinedTerm
152 sg:journal.1030439 schema:issn 1548-7679
153 1879-2855
154 schema:name Journal of Cardiovascular Magnetic Resonance
155 schema:publisher Springer Nature
156 rdf:type schema:Periodical
157 sg:person.01057517177.81 schema:affiliation grid-institutes:grid.26999.3d
158 schema:familyName Utsunomiya
159 schema:givenName Daisuke
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057517177.81
161 rdf:type schema:Person
162 sg:person.013056552235.96 schema:affiliation grid-institutes:grid.419708.3
163 schema:familyName Kodama
164 schema:givenName Sho
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013056552235.96
166 rdf:type schema:Person
167 sg:person.013174322507.05 schema:affiliation grid-institutes:grid.268441.d
168 schema:familyName Tamura
169 schema:givenName Kouichi
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013174322507.05
171 rdf:type schema:Person
172 sg:person.01360015547.94 schema:affiliation grid-institutes:grid.26999.3d
173 schema:familyName Kato
174 schema:givenName Shingo
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360015547.94
176 rdf:type schema:Person
177 sg:person.01371456341.82 schema:affiliation grid-institutes:grid.419708.3
178 schema:familyName Nakayama
179 schema:givenName Naoki
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01371456341.82
181 rdf:type schema:Person
182 sg:person.014111730201.09 schema:affiliation grid-institutes:grid.419708.3
183 schema:familyName Azuma
184 schema:givenName Mai
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014111730201.09
186 rdf:type schema:Person
187 sg:person.016170645072.55 schema:affiliation grid-institutes:grid.413045.7
188 schema:familyName Kimura
189 schema:givenName Kazuo
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016170645072.55
191 rdf:type schema:Person
192 sg:person.0650622624.12 schema:affiliation grid-institutes:grid.419708.3
193 schema:familyName Fukui
194 schema:givenName Kazuki
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0650622624.12
196 rdf:type schema:Person
197 sg:person.0775461372.89 schema:affiliation grid-institutes:grid.413045.7
198 schema:familyName Iwasawa
199 schema:givenName Tae
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775461372.89
201 rdf:type schema:Person
202 grid-institutes:grid.268441.d schema:alternateName Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan
203 schema:name Department of Medical Science and Cardiorenal Medicine, Yokohama City University, Yokohama, Kanagawa, Japan
204 rdf:type schema:Organization
205 grid-institutes:grid.26999.3d schema:alternateName Department of Diagnostic Radiology, Yokohama City Graduate School of Medicine, Yokohama, Kanagawa, Japan
206 schema:name Department of Diagnostic Radiology, Yokohama City Graduate School of Medicine, Yokohama, Kanagawa, Japan
207 rdf:type schema:Organization
208 grid-institutes:grid.413045.7 schema:alternateName Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
209 schema:name Department of Cardiology, Yokohama City University Medical Center, Yokohama, Kanagawa, Japan
210 rdf:type schema:Organization
211 grid-institutes:grid.419708.3 schema:alternateName Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
212 schema:name Department of Cardiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
213 Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, Yokohama, Kanagawa, Japan
214 rdf:type schema:Organization
 




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


...