Value of cardiac 320-multidetector computed tomography and cardiac magnetic resonance imaging for assessment of myocardial perfusion defects in patients with ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-10

AUTHORS

Abbas A. Qayyum, Jørgen T. Kühl, Anders B. Mathiasen, Kiril A. Ahtarovski, Niels G. Vejlstrup, Klaus F. Kofoed, Jens Kastrup

ABSTRACT

The challenge for therapies targeting perfusion abnormalities is to identify and evaluate the region of interest. The aim of this study was to compare rest and stress myocardial perfusion measured by cardiac multi-detector computed tomography (MDCT) and cardiac magnetic resonance (CMR) imaging in patients with invasive coronary angiography demonstrated occluded vessels. Twenty-four patients with refractory angina due to occluded coronary arteries underwent perfusion imaging obtained by 320-MDCT scanner and 1.5 T MR scanner. Rest and adenosine stress images were obtained and interpreted using the modified 17-segment American Heart Association model. For the qualitative analysis, each segment was graded according to the following scoring system: 0 = no defect, 1 = hypoperfusion transmural extent <1/3, 2 = 1/3-1/2, 3 = >1/2, and 4 = infarct stigmata. In the semiquantitative analysis the perfusion was either scored 0 (normal) or 1 (abnormal). The summed rest and stress scores were calculated. MDCT and CMR had a high probability to identify perfusion defects. An excellent correlation between MDCT and CMR summed rest (r = 0.916) and stress scores (r = 0.915) was found. The interobserver reproducibility was high for MDCT and CMR images. The qualitative and semiquantitative MDCT against CMR analysis of rest and stress images showed high concordance to detect perfusion defects per vascular territory and on a per myocardial segment basis. 320-MDCT and CMR perfusion imaging can be used clinically to identify myocardial perfusion defects and potentially evaluate the effect of therapy targeting perfusion abnormalities. More... »

PAGES

1585-1593

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10554-013-0234-6

DOI

http://dx.doi.org/10.1007/s10554-013-0234-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037844082

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23653247


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenosine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Angina Pectoris", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Circulation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Occlusion", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging, Cine", 
        "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": "Multidetector Computed Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Myocardial Perfusion Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Observer Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Reproducibility of Results", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vasodilator Agents", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Qayyum", 
        "givenName": "Abbas A.", 
        "id": "sg:person.0647301505.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647301505.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "K\u00fchl", 
        "givenName": "J\u00f8rgen T.", 
        "id": "sg:person.01001370400.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001370400.17"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mathiasen", 
        "givenName": "Anders B.", 
        "id": "sg:person.0763530105.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763530105.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahtarovski", 
        "givenName": "Kiril A.", 
        "id": "sg:person.01147133157.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147133157.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vejlstrup", 
        "givenName": "Niels G.", 
        "id": "sg:person.01361471113.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361471113.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kofoed", 
        "givenName": "Klaus F.", 
        "id": "sg:person.016452166277.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016452166277.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen \u00d8, Denmark"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kastrup", 
        "givenName": "Jens", 
        "id": "sg:person.01230047132.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230047132.03"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jcmg.2011.04.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006383694"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ahj.2007.06.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012278923"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/qjmed/hcq238", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014617540"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9149(87)90192-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020269005"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/14017431.2011.569571", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021144854"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/eurheartj/ehn297", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025816757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2009.06.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028985969"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/erc.10.95", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030639697"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(11)61335-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031205189"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033210301"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3727/096368912x636830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034351946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3727/096368912x636830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034351946"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circimaging.110.961250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035388281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/circimaging.110.961250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035388281"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-009-9531-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036804512", 
          "https://doi.org/10.1007/s10554-009-9531-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-009-9531-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036804512", 
          "https://doi.org/10.1007/s10554-009-9531-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-009-9531-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036804512", 
          "https://doi.org/10.1007/s10554-009-9531-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/hc0402.102975", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039853393"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.10091399", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040693172"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-011-9986-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050160560", 
          "https://doi.org/10.1007/s10554-011-9986-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-010-1897-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053307583", 
          "https://doi.org/10.1007/s00330-010-1897-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.08.1839", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069299856"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2013-10", 
    "datePublishedReg": "2013-10-01", 
    "description": "The challenge for therapies targeting perfusion abnormalities is to identify and evaluate the region of interest. The aim of this study was to compare rest and stress myocardial perfusion measured by cardiac multi-detector computed tomography (MDCT) and cardiac magnetic resonance (CMR) imaging in patients with invasive coronary angiography demonstrated occluded vessels. Twenty-four patients with refractory angina due to occluded coronary arteries underwent perfusion imaging obtained by 320-MDCT scanner and 1.5 T MR scanner. Rest and adenosine stress images were obtained and interpreted using the modified 17-segment American Heart Association model. For the qualitative analysis, each segment was graded according to the following scoring system: 0 = no defect, 1 = hypoperfusion transmural extent <1/3, 2 = 1/3-1/2, 3 = >1/2, and 4 = infarct stigmata. In the semiquantitative analysis the perfusion was either scored 0 (normal) or 1 (abnormal). The summed rest and stress scores were calculated. MDCT and CMR had a high probability to identify perfusion defects. An excellent correlation between MDCT and CMR summed rest (r = 0.916) and stress scores (r = 0.915) was found. The interobserver reproducibility was high for MDCT and CMR images. The qualitative and semiquantitative MDCT against CMR analysis of rest and stress images showed high concordance to detect perfusion defects per vascular territory and on a per myocardial segment basis. 320-MDCT and CMR perfusion imaging can be used clinically to identify myocardial perfusion defects and potentially evaluate the effect of therapy targeting perfusion abnormalities.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10554-013-0234-6", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1025429", 
        "issn": [
          "1569-5794", 
          "1573-0743"
        ], 
        "name": "The International Journal of Cardiovascular Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "29"
      }
    ], 
    "name": "Value of cardiac 320-multidetector computed tomography and cardiac magnetic resonance imaging for assessment of myocardial perfusion defects in patients with known chronic ischemic heart disease", 
    "pagination": "1585-1593", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b44777bbc3ab53c1312228142239e85c9451ea32cb51704796bf4f87eabd18a2"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "23653247"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100969716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10554-013-0234-6"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037844082"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10554-013-0234-6", 
      "https://app.dimensions.ai/details/publication/pub.1037844082"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:44", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000482.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s10554-013-0234-6"
  }
]
 

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/s10554-013-0234-6'

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/s10554-013-0234-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10554-013-0234-6'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10554-013-0234-6'


 

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

251 TRIPLES      21 PREDICATES      65 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10554-013-0234-6 schema:about N046432da0f844fdc920196a3b3454ba1
2 N100510ad40ff49b68c5eac1b00d755bc
3 N2d711a63f4704724bda3167121835a2a
4 N3bbd97b8da9f4659a95e8d8aeeeb3fc6
5 N5970b3cf6d554002ae32ea6d90c8c895
6 N77bc218b20724fbc8be7e72921ac354e
7 N7bd7c5eecb1d40e2811026c86d456f9c
8 N9052c84fbe7d4fde9fe704e877630774
9 N91672248bbbb4a39812fd5969519fbd0
10 N99563adae0064cceb3f73e57161b4052
11 N9c118c434e504c4bada8736f21a80263
12 Nc5567a549aea4fe0ad0beea0f31f4a26
13 Nc7cea7d16fad491fbce5491010085376
14 Nd38752ba250b4223b16fdd4e0ea5ee92
15 Nd919e675de43492f802e8a4eb5e49c29
16 Ne256317a92d4464d88af7bed8c9ea0b2
17 Ne70093ee9aa24c01b606eb63c2b16aab
18 Nef7f7ab1d7c749c28e547d198b816030
19 anzsrc-for:11
20 anzsrc-for:1102
21 schema:author Nee6155a57b854544b40d8847e8c2086c
22 schema:citation sg:pub.10.1007/s00330-010-1897-1
23 sg:pub.10.1007/s10554-009-9531-5
24 sg:pub.10.1007/s10554-011-9986-z
25 https://doi.org/10.1002/jmri.20073
26 https://doi.org/10.1016/0002-9149(87)90192-5
27 https://doi.org/10.1016/j.ahj.2007.06.038
28 https://doi.org/10.1016/j.jacc.2009.06.014
29 https://doi.org/10.1016/j.jcmg.2011.04.017
30 https://doi.org/10.1016/s0140-6736(11)61335-4
31 https://doi.org/10.1093/eurheartj/ehn297
32 https://doi.org/10.1093/qjmed/hcq238
33 https://doi.org/10.1148/radiol.10091399
34 https://doi.org/10.1161/circimaging.110.961250
35 https://doi.org/10.1161/hc0402.102975
36 https://doi.org/10.1586/erc.10.95
37 https://doi.org/10.2214/ajr.08.1839
38 https://doi.org/10.3109/14017431.2011.569571
39 https://doi.org/10.3727/096368912x636830
40 schema:datePublished 2013-10
41 schema:datePublishedReg 2013-10-01
42 schema:description The challenge for therapies targeting perfusion abnormalities is to identify and evaluate the region of interest. The aim of this study was to compare rest and stress myocardial perfusion measured by cardiac multi-detector computed tomography (MDCT) and cardiac magnetic resonance (CMR) imaging in patients with invasive coronary angiography demonstrated occluded vessels. Twenty-four patients with refractory angina due to occluded coronary arteries underwent perfusion imaging obtained by 320-MDCT scanner and 1.5 T MR scanner. Rest and adenosine stress images were obtained and interpreted using the modified 17-segment American Heart Association model. For the qualitative analysis, each segment was graded according to the following scoring system: 0 = no defect, 1 = hypoperfusion transmural extent <1/3, 2 = 1/3-1/2, 3 = >1/2, and 4 = infarct stigmata. In the semiquantitative analysis the perfusion was either scored 0 (normal) or 1 (abnormal). The summed rest and stress scores were calculated. MDCT and CMR had a high probability to identify perfusion defects. An excellent correlation between MDCT and CMR summed rest (r = 0.916) and stress scores (r = 0.915) was found. The interobserver reproducibility was high for MDCT and CMR images. The qualitative and semiquantitative MDCT against CMR analysis of rest and stress images showed high concordance to detect perfusion defects per vascular territory and on a per myocardial segment basis. 320-MDCT and CMR perfusion imaging can be used clinically to identify myocardial perfusion defects and potentially evaluate the effect of therapy targeting perfusion abnormalities.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree false
46 schema:isPartOf N5c6ebc2acaeb4deb9712d8c62c2e8920
47 Ne35d0a8687b5418e89aaf17232282486
48 sg:journal.1025429
49 schema:name Value of cardiac 320-multidetector computed tomography and cardiac magnetic resonance imaging for assessment of myocardial perfusion defects in patients with known chronic ischemic heart disease
50 schema:pagination 1585-1593
51 schema:productId N2a065335e193487486df9cf5ea1e62a5
52 Nad078fa9651a409999eeb7ed2b1e3111
53 Nc808f76bc5574aabbfec53571be6c5f2
54 Nd0c443a4535d42be8e42a5afaf9551e8
55 Nfc2994a0d4ec41d4b0455ab740834d7c
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037844082
57 https://doi.org/10.1007/s10554-013-0234-6
58 schema:sdDatePublished 2019-04-10T15:44
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Nd2ca10262a9c42b1be0e556063f2e162
61 schema:url http://link.springer.com/10.1007/s10554-013-0234-6
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N046432da0f844fdc920196a3b3454ba1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Coronary Occlusion
67 rdf:type schema:DefinedTerm
68 N100510ad40ff49b68c5eac1b00d755bc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Male
70 rdf:type schema:DefinedTerm
71 N2a065335e193487486df9cf5ea1e62a5 schema:name dimensions_id
72 schema:value pub.1037844082
73 rdf:type schema:PropertyValue
74 N2d711a63f4704724bda3167121835a2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Predictive Value of Tests
76 rdf:type schema:DefinedTerm
77 N3bbd97b8da9f4659a95e8d8aeeeb3fc6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Angina Pectoris
79 rdf:type schema:DefinedTerm
80 N3bdde34fda4f442babdf84afd9237cfc rdf:first sg:person.01147133157.48
81 rdf:rest N7fcfdf9e32cc4deebba6665250383472
82 N3d236501f9254341b87049ebb5889f81 rdf:first sg:person.01001370400.17
83 rdf:rest Ndb4c130e13e741f79f4a21fb6cdb9fab
84 N5970b3cf6d554002ae32ea6d90c8c895 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Middle Aged
86 rdf:type schema:DefinedTerm
87 N5c6ebc2acaeb4deb9712d8c62c2e8920 schema:issueNumber 7
88 rdf:type schema:PublicationIssue
89 N6c5ef4cf939a4d9d934bda030da6391f schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
90 rdf:type schema:Organization
91 N75d3d57a5bb74bbb8f6f15426a94db6b rdf:first sg:person.016452166277.03
92 rdf:rest Ne21cc8b2d7b14b52b8ecab9837cc909a
93 N77bc218b20724fbc8be7e72921ac354e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Observer Variation
95 rdf:type schema:DefinedTerm
96 N7bd7c5eecb1d40e2811026c86d456f9c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Aged, 80 and over
98 rdf:type schema:DefinedTerm
99 N7fcfdf9e32cc4deebba6665250383472 rdf:first sg:person.01361471113.13
100 rdf:rest N75d3d57a5bb74bbb8f6f15426a94db6b
101 N9052c84fbe7d4fde9fe704e877630774 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Magnetic Resonance Imaging, Cine
103 rdf:type schema:DefinedTerm
104 N91672248bbbb4a39812fd5969519fbd0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Adenosine
106 rdf:type schema:DefinedTerm
107 N99563adae0064cceb3f73e57161b4052 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Female
109 rdf:type schema:DefinedTerm
110 N9c118c434e504c4bada8736f21a80263 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Humans
112 rdf:type schema:DefinedTerm
113 Na20258fba4f54e998ea418e15fb8b287 schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
114 rdf:type schema:Organization
115 Nad078fa9651a409999eeb7ed2b1e3111 schema:name readcube_id
116 schema:value b44777bbc3ab53c1312228142239e85c9451ea32cb51704796bf4f87eabd18a2
117 rdf:type schema:PropertyValue
118 Nb241974b235448c7abdb560e1c59c974 schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
119 rdf:type schema:Organization
120 Nc0c3a1fb0cd44b128fca7627ac68eb09 schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
121 rdf:type schema:Organization
122 Nc5567a549aea4fe0ad0beea0f31f4a26 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Multidetector Computed Tomography
124 rdf:type schema:DefinedTerm
125 Nc7cea7d16fad491fbce5491010085376 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Myocardial Perfusion Imaging
127 rdf:type schema:DefinedTerm
128 Nc808f76bc5574aabbfec53571be6c5f2 schema:name pubmed_id
129 schema:value 23653247
130 rdf:type schema:PropertyValue
131 Nd036135f02ea47e789f4803b2a5dc43a schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
132 rdf:type schema:Organization
133 Nd0c443a4535d42be8e42a5afaf9551e8 schema:name nlm_unique_id
134 schema:value 100969716
135 rdf:type schema:PropertyValue
136 Nd2ca10262a9c42b1be0e556063f2e162 schema:name Springer Nature - SN SciGraph project
137 rdf:type schema:Organization
138 Nd38752ba250b4223b16fdd4e0ea5ee92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Reproducibility of Results
140 rdf:type schema:DefinedTerm
141 Nd839ab531db0443ebbaa504908b129f2 schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
142 rdf:type schema:Organization
143 Nd919e675de43492f802e8a4eb5e49c29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Vasodilator Agents
145 rdf:type schema:DefinedTerm
146 Ndb4c130e13e741f79f4a21fb6cdb9fab rdf:first sg:person.0763530105.16
147 rdf:rest N3bdde34fda4f442babdf84afd9237cfc
148 Ndbf7e4dc195a49b99b9bae271463c217 schema:name Department of Cardiology, Cardiac Catheterization Laboratory 2014, The Heart Centre, Rigshospitalet, Copenhagen University Hospital, Blegdamsvej 9, 2100, Copenhagen Ø, Denmark
149 rdf:type schema:Organization
150 Ne21cc8b2d7b14b52b8ecab9837cc909a rdf:first sg:person.01230047132.03
151 rdf:rest rdf:nil
152 Ne256317a92d4464d88af7bed8c9ea0b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Aged
154 rdf:type schema:DefinedTerm
155 Ne35d0a8687b5418e89aaf17232282486 schema:volumeNumber 29
156 rdf:type schema:PublicationVolume
157 Ne70093ee9aa24c01b606eb63c2b16aab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Coronary Angiography
159 rdf:type schema:DefinedTerm
160 Nee6155a57b854544b40d8847e8c2086c rdf:first sg:person.0647301505.13
161 rdf:rest N3d236501f9254341b87049ebb5889f81
162 Nef7f7ab1d7c749c28e547d198b816030 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Coronary Circulation
164 rdf:type schema:DefinedTerm
165 Nfc2994a0d4ec41d4b0455ab740834d7c schema:name doi
166 schema:value 10.1007/s10554-013-0234-6
167 rdf:type schema:PropertyValue
168 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
169 schema:name Medical and Health Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
172 schema:name Cardiorespiratory Medicine and Haematology
173 rdf:type schema:DefinedTerm
174 sg:journal.1025429 schema:issn 1569-5794
175 1573-0743
176 schema:name The International Journal of Cardiovascular Imaging
177 rdf:type schema:Periodical
178 sg:person.01001370400.17 schema:affiliation Nb241974b235448c7abdb560e1c59c974
179 schema:familyName Kühl
180 schema:givenName Jørgen T.
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01001370400.17
182 rdf:type schema:Person
183 sg:person.01147133157.48 schema:affiliation Na20258fba4f54e998ea418e15fb8b287
184 schema:familyName Ahtarovski
185 schema:givenName Kiril A.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01147133157.48
187 rdf:type schema:Person
188 sg:person.01230047132.03 schema:affiliation Nd036135f02ea47e789f4803b2a5dc43a
189 schema:familyName Kastrup
190 schema:givenName Jens
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01230047132.03
192 rdf:type schema:Person
193 sg:person.01361471113.13 schema:affiliation Nd839ab531db0443ebbaa504908b129f2
194 schema:familyName Vejlstrup
195 schema:givenName Niels G.
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01361471113.13
197 rdf:type schema:Person
198 sg:person.016452166277.03 schema:affiliation Ndbf7e4dc195a49b99b9bae271463c217
199 schema:familyName Kofoed
200 schema:givenName Klaus F.
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016452166277.03
202 rdf:type schema:Person
203 sg:person.0647301505.13 schema:affiliation Nc0c3a1fb0cd44b128fca7627ac68eb09
204 schema:familyName Qayyum
205 schema:givenName Abbas A.
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0647301505.13
207 rdf:type schema:Person
208 sg:person.0763530105.16 schema:affiliation N6c5ef4cf939a4d9d934bda030da6391f
209 schema:familyName Mathiasen
210 schema:givenName Anders B.
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763530105.16
212 rdf:type schema:Person
213 sg:pub.10.1007/s00330-010-1897-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053307583
214 https://doi.org/10.1007/s00330-010-1897-1
215 rdf:type schema:CreativeWork
216 sg:pub.10.1007/s10554-009-9531-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036804512
217 https://doi.org/10.1007/s10554-009-9531-5
218 rdf:type schema:CreativeWork
219 sg:pub.10.1007/s10554-011-9986-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1050160560
220 https://doi.org/10.1007/s10554-011-9986-z
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1002/jmri.20073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033210301
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/0002-9149(87)90192-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020269005
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.ahj.2007.06.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012278923
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.jacc.2009.06.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028985969
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.jcmg.2011.04.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006383694
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/s0140-6736(11)61335-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031205189
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1093/eurheartj/ehn297 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025816757
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1093/qjmed/hcq238 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014617540
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1148/radiol.10091399 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040693172
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1161/circimaging.110.961250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035388281
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1161/hc0402.102975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039853393
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1586/erc.10.95 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030639697
245 rdf:type schema:CreativeWork
246 https://doi.org/10.2214/ajr.08.1839 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069299856
247 rdf:type schema:CreativeWork
248 https://doi.org/10.3109/14017431.2011.569571 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021144854
249 rdf:type schema:CreativeWork
250 https://doi.org/10.3727/096368912x636830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034351946
251 rdf:type schema:CreativeWork
 




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


...