Optimal image reconstruction phase at low and high heart rates in dual-source CT coronary angiography View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2009-12

AUTHORS

Philip A. Araoz, Jacobo Kirsch, Andrew N. Primak, Natalie N. Braun, Osama Saba, Eric E. Williamson, W. Scott Harmsen, Jayawant N. Mandrekar, Cynthia H. McCollough

ABSTRACT

The purpose of this study was to determine the cardiac phase having the highest coronary sharpness for low and high heart rate patients scanned with dual source CT (DSCT) and to compare coronary image sharpness over different cardiac phases. DSCT coronary CT scans for 30 low heart rate (< or =70 beats per minute- bpm) and 30 high heart rate (>70 bpm) patients were reconstructed into different cardiac phases, starting at 30% and increasing at 5% increments until 70%. A blinded observer graded image sharpness per coronary segment, from which sharpness scores were produced for the right (RCA), left main (LM), left anterior descending (LAD), and circumflex (Cx) coronary arteries. For each coronary artery, the phase with maximal image sharpness was identified with repeated measures analysis of variance. Comparison of coronary sharpness between low and high heart rate patients was made using generalized estimating equations. For low heart rates the highest sharpness scores for all four vessels (RCA, LM, LAD, and Cx) were at the 65 or 70% phase, which are end-diastolic cardiac phases. For high heart rates the highest sharpness scores were between the 35 and 45% phases, which are end-systolic phases. Low heart rate patients had higher coronary sharpness at most cardiac phases; however, patients with high heart rates had higher coronary sharpness in the 45% phase for all four vessels (P < 0.0001). Using DSCT scanning, optimal image sharpness is obtained in end-diastole at low heart rates and in end-systole in high heart rates. More... »

PAGES

837

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s10554-009-9489-3

DOI

http://dx.doi.org/10.1007/s10554-009-9489-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1010313273

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/19669664


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

JSON-LD is the canonical representation for SciGraph data.

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

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Artifacts", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Diastole", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "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": "Myocardial Contraction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiographic Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Systole", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Araoz", 
        "givenName": "Philip A.", 
        "id": "sg:person.0720022661.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720022661.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kirsch", 
        "givenName": "Jacobo", 
        "id": "sg:person.01213435454.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213435454.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Primak", 
        "givenName": "Andrew N.", 
        "id": "sg:person.010520761047.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010520761047.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Braun", 
        "givenName": "Natalie N.", 
        "id": "sg:person.0634170020.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634170020.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Siemens (Germany)", 
          "id": "https://www.grid.ac/institutes/grid.5406.7", 
          "name": [
            "Siemens Medical Solutions, Forcheim, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Saba", 
        "givenName": "Osama", 
        "id": "sg:person.0676023241.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676023241.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Williamson", 
        "givenName": "Eric E.", 
        "id": "sg:person.0662535551.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662535551.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Harmsen", 
        "givenName": "W. Scott", 
        "id": "sg:person.01250740515.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250740515.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mandrekar", 
        "givenName": "Jayawant N.", 
        "id": "sg:person.015200755617.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015200755617.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Mayo Clinic", 
          "id": "https://www.grid.ac/institutes/grid.66875.3a", 
          "name": [
            "Mayo Clinic, Rochester, MN, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McCollough", 
        "givenName": "Cynthia H.", 
        "id": "sg:person.010364077757.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010364077757.63"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.amjcard.2007.03.066", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017458108"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-005-2919-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020692319", 
          "https://doi.org/10.1007/s00330-005-2919-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-005-2919-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020692319", 
          "https://doi.org/10.1007/s00330-005-2919-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2451061791", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027752886"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-007-0786-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028078235", 
          "https://doi.org/10.1007/s00330-007-0786-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-007-0786-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028078235", 
          "https://doi.org/10.1007/s00330-007-0786-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2483072098", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034885088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiol.2412051384", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041554060"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0262-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044631507", 
          "https://doi.org/10.1007/s00330-006-0262-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00330-006-0262-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044631507", 
          "https://doi.org/10.1007/s00330-006-0262-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2007.04.068", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045817506"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e31803b93cf", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049206841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e31803b93cf", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049206841"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000202639.99949.c6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050607284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000202639.99949.c6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050607284"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.51.4.5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063335684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.07.2078", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069298490"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2214/ajr.07.2711", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1069298805"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2009-12", 
    "datePublishedReg": "2009-12-01", 
    "description": "The purpose of this study was to determine the cardiac phase having the highest coronary sharpness for low and high heart rate patients scanned with dual source CT (DSCT) and to compare coronary image sharpness over different cardiac phases. DSCT coronary CT scans for 30 low heart rate (< or =70 beats per minute- bpm) and 30 high heart rate (>70 bpm) patients were reconstructed into different cardiac phases, starting at 30% and increasing at 5% increments until 70%. A blinded observer graded image sharpness per coronary segment, from which sharpness scores were produced for the right (RCA), left main (LM), left anterior descending (LAD), and circumflex (Cx) coronary arteries. For each coronary artery, the phase with maximal image sharpness was identified with repeated measures analysis of variance. Comparison of coronary sharpness between low and high heart rate patients was made using generalized estimating equations. For low heart rates the highest sharpness scores for all four vessels (RCA, LM, LAD, and Cx) were at the 65 or 70% phase, which are end-diastolic cardiac phases. For high heart rates the highest sharpness scores were between the 35 and 45% phases, which are end-systolic phases. Low heart rate patients had higher coronary sharpness at most cardiac phases; however, patients with high heart rates had higher coronary sharpness in the 45% phase for all four vessels (P < 0.0001). Using DSCT scanning, optimal image sharpness is obtained in end-diastole at low heart rates and in end-systole in high heart rates.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s10554-009-9489-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2501828", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1025429", 
        "issn": [
          "1569-5794", 
          "1573-0743"
        ], 
        "name": "The International Journal of Cardiovascular Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "8", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "25"
      }
    ], 
    "name": "Optimal image reconstruction phase at low and high heart rates in dual-source CT coronary angiography", 
    "pagination": "837", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "312229cf408ecf9c51de6e1c03974167f0e397151cfcb375137fe05b89865118"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "19669664"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100969716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s10554-009-9489-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1010313273"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s10554-009-9489-3", 
      "https://app.dimensions.ai/details/publication/pub.1010313273"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:33", 
    "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/v90/0000000373_0000000373/records_13106_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs10554-009-9489-3"
  }
]
 

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/s10554-009-9489-3'

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/s10554-009-9489-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s10554-009-9489-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s10554-009-9489-3'


 

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

236 TRIPLES      21 PREDICATES      58 URIs      37 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s10554-009-9489-3 schema:about N0ff35b806e9649eaadad38414d5853e7
2 N3290f079148841ce85bb5b758f7d01b5
3 N3681478289af441d88edddb5c8aea470
4 N59888b93c968465a8c512e991f349311
5 N5b26d066b44d4f33b6d79575972d7cd3
6 N6802a9f4490a42e9b7b7a5d3e1511c18
7 N739f458617f14a6cb26eddf5fb0f6962
8 N8f94d169e6954b32ab02c07cdac8c6a4
9 N9e93c9518ce94a12b5d21c50ee9f49e6
10 N9ee92e8cf4de4764b22bcd13c720b255
11 Na9defcbbed074ace87658da2472c9359
12 Nce7b4355bffe4a42b58ca6b25184efa3
13 Ne5357dc04d2a410eaacbb49c0df89b1d
14 Ne690fda409f1487f9d66f2fd3be17bf2
15 Ne83dac2970d04bf0ad2cfbd5ce8da6a1
16 Ned319a5b402b443582767d5e6f53859d
17 anzsrc-for:11
18 anzsrc-for:1102
19 schema:author N18245329931746649cfbbd78b7502c62
20 schema:citation sg:pub.10.1007/s00330-005-2919-2
21 sg:pub.10.1007/s00330-006-0262-x
22 sg:pub.10.1007/s00330-007-0786-8
23 https://doi.org/10.1016/j.amjcard.2007.03.066
24 https://doi.org/10.1016/j.jacc.2007.04.068
25 https://doi.org/10.1097/01.rli.0000202639.99949.c6
26 https://doi.org/10.1097/rli.0b013e31803b93cf
27 https://doi.org/10.1148/radiol.2412051384
28 https://doi.org/10.1148/radiol.2451061791
29 https://doi.org/10.1148/radiol.2483072098
30 https://doi.org/10.1161/01.cir.51.4.5
31 https://doi.org/10.2214/ajr.07.2078
32 https://doi.org/10.2214/ajr.07.2711
33 schema:datePublished 2009-12
34 schema:datePublishedReg 2009-12-01
35 schema:description The purpose of this study was to determine the cardiac phase having the highest coronary sharpness for low and high heart rate patients scanned with dual source CT (DSCT) and to compare coronary image sharpness over different cardiac phases. DSCT coronary CT scans for 30 low heart rate (< or =70 beats per minute- bpm) and 30 high heart rate (>70 bpm) patients were reconstructed into different cardiac phases, starting at 30% and increasing at 5% increments until 70%. A blinded observer graded image sharpness per coronary segment, from which sharpness scores were produced for the right (RCA), left main (LM), left anterior descending (LAD), and circumflex (Cx) coronary arteries. For each coronary artery, the phase with maximal image sharpness was identified with repeated measures analysis of variance. Comparison of coronary sharpness between low and high heart rate patients was made using generalized estimating equations. For low heart rates the highest sharpness scores for all four vessels (RCA, LM, LAD, and Cx) were at the 65 or 70% phase, which are end-diastolic cardiac phases. For high heart rates the highest sharpness scores were between the 35 and 45% phases, which are end-systolic phases. Low heart rate patients had higher coronary sharpness at most cardiac phases; however, patients with high heart rates had higher coronary sharpness in the 45% phase for all four vessels (P < 0.0001). Using DSCT scanning, optimal image sharpness is obtained in end-diastole at low heart rates and in end-systole in high heart rates.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf N05457ddb89834a44959814b9cd7d3977
40 Nf231ede36ee24ce5b8ea1ac13e83db88
41 sg:journal.1025429
42 schema:name Optimal image reconstruction phase at low and high heart rates in dual-source CT coronary angiography
43 schema:pagination 837
44 schema:productId N23b9ae7b783247dd88272425787db3b0
45 N36bc14724701415eaecebaacdec07df8
46 N55164226511c47e09c560ba06f3d0d34
47 N6bb8021511ba46fca0ce6bdbb654a4a6
48 Nf47dfcf8faf74360b4b680c20ffcfc09
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010313273
50 https://doi.org/10.1007/s10554-009-9489-3
51 schema:sdDatePublished 2019-04-11T14:33
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N824a02c41aad4cf6a6eff3b635b994bf
54 schema:url http://link.springer.com/10.1007%2Fs10554-009-9489-3
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N05457ddb89834a44959814b9cd7d3977 schema:issueNumber 8
59 rdf:type schema:PublicationIssue
60 N0ff35b806e9649eaadad38414d5853e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
61 schema:name Tomography, X-Ray Computed
62 rdf:type schema:DefinedTerm
63 N18245329931746649cfbbd78b7502c62 rdf:first sg:person.0720022661.28
64 rdf:rest Nf33234e590764494a3827284d3eba0d7
65 N23b9ae7b783247dd88272425787db3b0 schema:name pubmed_id
66 schema:value 19669664
67 rdf:type schema:PropertyValue
68 N25c7bacd6d504da0b1b296c4d2a2ce8d rdf:first sg:person.0662535551.45
69 rdf:rest N9ab1b8ac0e154a36a1ce6525d125ce7e
70 N3290f079148841ce85bb5b758f7d01b5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Middle Aged
72 rdf:type schema:DefinedTerm
73 N34c3345a48d3414b9076000a20715ed6 rdf:first sg:person.0676023241.83
74 rdf:rest N25c7bacd6d504da0b1b296c4d2a2ce8d
75 N3681478289af441d88edddb5c8aea470 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Heart Rate
77 rdf:type schema:DefinedTerm
78 N36bc14724701415eaecebaacdec07df8 schema:name readcube_id
79 schema:value 312229cf408ecf9c51de6e1c03974167f0e397151cfcb375137fe05b89865118
80 rdf:type schema:PropertyValue
81 N55164226511c47e09c560ba06f3d0d34 schema:name doi
82 schema:value 10.1007/s10554-009-9489-3
83 rdf:type schema:PropertyValue
84 N59888b93c968465a8c512e991f349311 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Coronary Angiography
86 rdf:type schema:DefinedTerm
87 N5b26d066b44d4f33b6d79575972d7cd3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
88 schema:name Aged
89 rdf:type schema:DefinedTerm
90 N6802a9f4490a42e9b7b7a5d3e1511c18 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
91 schema:name Coronary Artery Disease
92 rdf:type schema:DefinedTerm
93 N6bb8021511ba46fca0ce6bdbb654a4a6 schema:name nlm_unique_id
94 schema:value 100969716
95 rdf:type schema:PropertyValue
96 N739f458617f14a6cb26eddf5fb0f6962 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Artifacts
98 rdf:type schema:DefinedTerm
99 N81271cc781fb4d319a2854ba2284cb6b rdf:first sg:person.010520761047.93
100 rdf:rest Nb83126e227a24b5d882d590d81f0d46b
101 N824a02c41aad4cf6a6eff3b635b994bf schema:name Springer Nature - SN SciGraph project
102 rdf:type schema:Organization
103 N8f94d169e6954b32ab02c07cdac8c6a4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Male
105 rdf:type schema:DefinedTerm
106 N917a8af08d8740e2b15ff627287b3b84 rdf:first sg:person.010364077757.63
107 rdf:rest rdf:nil
108 N9ab1b8ac0e154a36a1ce6525d125ce7e rdf:first sg:person.01250740515.07
109 rdf:rest Nd441941306b0469ba53cf98a9563e862
110 N9e93c9518ce94a12b5d21c50ee9f49e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Systole
112 rdf:type schema:DefinedTerm
113 N9ee92e8cf4de4764b22bcd13c720b255 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Female
115 rdf:type schema:DefinedTerm
116 Na9defcbbed074ace87658da2472c9359 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Humans
118 rdf:type schema:DefinedTerm
119 Nb83126e227a24b5d882d590d81f0d46b rdf:first sg:person.0634170020.39
120 rdf:rest N34c3345a48d3414b9076000a20715ed6
121 Nce7b4355bffe4a42b58ca6b25184efa3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Retrospective Studies
123 rdf:type schema:DefinedTerm
124 Nd441941306b0469ba53cf98a9563e862 rdf:first sg:person.015200755617.11
125 rdf:rest N917a8af08d8740e2b15ff627287b3b84
126 Ne5357dc04d2a410eaacbb49c0df89b1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Radiographic Image Interpretation, Computer-Assisted
128 rdf:type schema:DefinedTerm
129 Ne690fda409f1487f9d66f2fd3be17bf2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Myocardial Contraction
131 rdf:type schema:DefinedTerm
132 Ne83dac2970d04bf0ad2cfbd5ce8da6a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Diastole
134 rdf:type schema:DefinedTerm
135 Ned319a5b402b443582767d5e6f53859d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Predictive Value of Tests
137 rdf:type schema:DefinedTerm
138 Nf231ede36ee24ce5b8ea1ac13e83db88 schema:volumeNumber 25
139 rdf:type schema:PublicationVolume
140 Nf33234e590764494a3827284d3eba0d7 rdf:first sg:person.01213435454.49
141 rdf:rest N81271cc781fb4d319a2854ba2284cb6b
142 Nf47dfcf8faf74360b4b680c20ffcfc09 schema:name dimensions_id
143 schema:value pub.1010313273
144 rdf:type schema:PropertyValue
145 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
146 schema:name Medical and Health Sciences
147 rdf:type schema:DefinedTerm
148 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
149 schema:name Cardiorespiratory Medicine and Haematology
150 rdf:type schema:DefinedTerm
151 sg:grant.2501828 http://pending.schema.org/fundedItem sg:pub.10.1007/s10554-009-9489-3
152 rdf:type schema:MonetaryGrant
153 sg:journal.1025429 schema:issn 1569-5794
154 1573-0743
155 schema:name The International Journal of Cardiovascular Imaging
156 rdf:type schema:Periodical
157 sg:person.010364077757.63 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
158 schema:familyName McCollough
159 schema:givenName Cynthia H.
160 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010364077757.63
161 rdf:type schema:Person
162 sg:person.010520761047.93 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
163 schema:familyName Primak
164 schema:givenName Andrew N.
165 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010520761047.93
166 rdf:type schema:Person
167 sg:person.01213435454.49 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
168 schema:familyName Kirsch
169 schema:givenName Jacobo
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01213435454.49
171 rdf:type schema:Person
172 sg:person.01250740515.07 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
173 schema:familyName Harmsen
174 schema:givenName W. Scott
175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01250740515.07
176 rdf:type schema:Person
177 sg:person.015200755617.11 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
178 schema:familyName Mandrekar
179 schema:givenName Jayawant N.
180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015200755617.11
181 rdf:type schema:Person
182 sg:person.0634170020.39 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
183 schema:familyName Braun
184 schema:givenName Natalie N.
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634170020.39
186 rdf:type schema:Person
187 sg:person.0662535551.45 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
188 schema:familyName Williamson
189 schema:givenName Eric E.
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0662535551.45
191 rdf:type schema:Person
192 sg:person.0676023241.83 schema:affiliation https://www.grid.ac/institutes/grid.5406.7
193 schema:familyName Saba
194 schema:givenName Osama
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0676023241.83
196 rdf:type schema:Person
197 sg:person.0720022661.28 schema:affiliation https://www.grid.ac/institutes/grid.66875.3a
198 schema:familyName Araoz
199 schema:givenName Philip A.
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0720022661.28
201 rdf:type schema:Person
202 sg:pub.10.1007/s00330-005-2919-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020692319
203 https://doi.org/10.1007/s00330-005-2919-2
204 rdf:type schema:CreativeWork
205 sg:pub.10.1007/s00330-006-0262-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1044631507
206 https://doi.org/10.1007/s00330-006-0262-x
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/s00330-007-0786-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028078235
209 https://doi.org/10.1007/s00330-007-0786-8
210 rdf:type schema:CreativeWork
211 https://doi.org/10.1016/j.amjcard.2007.03.066 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017458108
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/j.jacc.2007.04.068 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045817506
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1097/01.rli.0000202639.99949.c6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050607284
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1097/rli.0b013e31803b93cf schema:sameAs https://app.dimensions.ai/details/publication/pub.1049206841
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1148/radiol.2412051384 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041554060
220 rdf:type schema:CreativeWork
221 https://doi.org/10.1148/radiol.2451061791 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027752886
222 rdf:type schema:CreativeWork
223 https://doi.org/10.1148/radiol.2483072098 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034885088
224 rdf:type schema:CreativeWork
225 https://doi.org/10.1161/01.cir.51.4.5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063335684
226 rdf:type schema:CreativeWork
227 https://doi.org/10.2214/ajr.07.2078 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069298490
228 rdf:type schema:CreativeWork
229 https://doi.org/10.2214/ajr.07.2711 schema:sameAs https://app.dimensions.ai/details/publication/pub.1069298805
230 rdf:type schema:CreativeWork
231 https://www.grid.ac/institutes/grid.5406.7 schema:alternateName Siemens (Germany)
232 schema:name Siemens Medical Solutions, Forcheim, Germany
233 rdf:type schema:Organization
234 https://www.grid.ac/institutes/grid.66875.3a schema:alternateName Mayo Clinic
235 schema:name Mayo Clinic, Rochester, MN, USA
236 rdf:type schema:Organization
 




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


...