Part 1 – Coronary angiography with gadofosveset trisodium: a prospective feasibility study evaluating injection techniques for steady-state imaging View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-12

AUTHORS

Mark A. Ahlman, Fabio S. Raman, Scott R. Penzak, Jianing Pang, Zhaoyang Fan, Songtao Liu, Neville Gai, Debiao Li, David A. Bluemke

ABSTRACT

BACKGROUND: The purpose of this study was to define an optimal injection protocol for 5-10 min duration navigator-based coronary MR angiography using an intravascular gadolinium-based contrast agent (GBCA), which is better suited for steady-state coronary MR angiography than conventional GBCAs. METHODS: Using projections from pharmacokinetic models of the intravascular concentration of gadofosveset, a dual-injection protocol was formulated and tested on 14 healthy human subjects. Modified Look-Locker inversion recovery (MOLLI) sequences were used for T1 mapping at 3 Tesla to evaluate the concentration of tracer in the aorta over the scanning interval. RESULTS: Pharmacokinetic models for a bolus plus slow infusion technique at a 5, 10, and 15 min steady state intravascular concentration was compared to single bolus curves. The 70 %/30 % bolus/slow infusion technique resulted in the highest intravascular concentration over a 5 min scan duration. Similarly, the 60 %/40 % bolus/slow infusion technique was projected to be ideal for image acquisition duration of 5-10 min. These models were confirmed with T1 maps on normal volunteers. Arterial-venous mixing of contrast was achieved within 90 s of the beginning of the bolus. CONCLUSIONS: Gadofosveset injection is optimized for the lowest intravascular T1 time for 5-10 min duration MR angiography by bolus injection of 60-70 % of the total dose followed by slow infusion of the remainder of the total dose. This protocol achieves rapid and prolonged steady state intravascular concentrations of the GBCA that may be useful for prolonged image acquisition, such as required for navigator-based coronary MR angiography at 3 Tesla. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01130545 NCT01130545 , registered as of May 25, 2010. More... »

PAGES

177

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12872-015-0176-0

DOI

http://dx.doi.org/10.1186/s12872-015-0176-0

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038342339

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26695065


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Contrast Media", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Vessels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Drug Administration Schedule", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Feasibility Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gadolinium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Healthy Volunteers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Infusions, Parenteral", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Injections", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Angiography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Models, Biological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Organometallic Compounds", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "National Institutes of Health Clinical Center", 
          "id": "https://www.grid.ac/institutes/grid.410305.3", 
          "name": [
            "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahlman", 
        "givenName": "Mark A.", 
        "id": "sg:person.01070362705.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070362705.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health Clinical Center", 
          "id": "https://www.grid.ac/institutes/grid.410305.3", 
          "name": [
            "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Raman", 
        "givenName": "Fabio S.", 
        "id": "sg:person.01201275026.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201275026.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of North Texas", 
          "id": "https://www.grid.ac/institutes/grid.266869.5", 
          "name": [
            "Department of Pharmacotherapy, University of North Texas, Fort Worth, TX, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Penzak", 
        "givenName": "Scott R.", 
        "id": "sg:person.01165650034.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165650034.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cedars-Sinai Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.50956.3f", 
          "name": [
            "Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pang", 
        "givenName": "Jianing", 
        "id": "sg:person.01067525465.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067525465.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cedars-Sinai Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.50956.3f", 
          "name": [
            "Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fan", 
        "givenName": "Zhaoyang", 
        "id": "sg:person.01136172260.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136172260.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health Clinical Center", 
          "id": "https://www.grid.ac/institutes/grid.410305.3", 
          "name": [
            "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Songtao", 
        "id": "sg:person.01302651346.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302651346.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health Clinical Center", 
          "id": "https://www.grid.ac/institutes/grid.410305.3", 
          "name": [
            "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gai", 
        "givenName": "Neville", 
        "id": "sg:person.0641521172.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641521172.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cedars-Sinai Medical Center", 
          "id": "https://www.grid.ac/institutes/grid.50956.3f", 
          "name": [
            "Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Li", 
        "givenName": "Debiao", 
        "id": "sg:person.01152021525.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152021525.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institutes of Health Clinical Center", 
          "id": "https://www.grid.ac/institutes/grid.410305.3", 
          "name": [
            "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bluemke", 
        "givenName": "David A.", 
        "id": "sg:person.01121513432.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121513432.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1532-429x-13-75", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003547417", 
          "https://doi.org/10.1186/1532-429x-13-75"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1532-429x-14-26", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006079230", 
          "https://doi.org/10.1186/1532-429x-14-26"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.20178", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007568829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008124625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.20374", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008124625"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1532-429x-14-27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014145175", 
          "https://doi.org/10.1186/1532-429x-14-27"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e31817ed1ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014694042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e31817ed1ff", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014694042"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3181a40d1d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015286370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3181a40d1d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015286370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/rli.0b013e3181a40d1d", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015286370"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.22717", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021206724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2217/iim.10.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021882046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.acra.2010.02.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036065418"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10554-013-0192-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037673109", 
          "https://doi.org/10.1007/s10554-013-0192-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jmri.1880060413", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039736770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11886-012-0328-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042336509", 
          "https://doi.org/10.1007/s11886-012-0328-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11886-012-0328-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042336509", 
          "https://doi.org/10.1007/s11886-012-0328-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.22706", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043463427"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000184756.66360.d3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047558970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000184756.66360.d3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047558970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.rli.0000184756.66360.d3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047558970"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ejrad.2009.04.052", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050008515"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.24628", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050417592"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/mrm.25097", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052144870"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-2002-32226", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057415230"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077508441", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1148/radiology.207.2.9577506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083257437"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12", 
    "datePublishedReg": "2015-12-01", 
    "description": "BACKGROUND: The purpose of this study was to define an optimal injection protocol for 5-10\u00a0min duration navigator-based coronary MR angiography using an intravascular gadolinium-based contrast agent (GBCA), which is better suited for steady-state coronary MR angiography than conventional GBCAs.\nMETHODS: Using projections from pharmacokinetic models of the intravascular concentration of gadofosveset, a dual-injection protocol was formulated and tested on 14 healthy human subjects. Modified Look-Locker inversion recovery (MOLLI) sequences were used for T1 mapping at 3 Tesla to evaluate the concentration of tracer in the aorta over the scanning interval.\nRESULTS: Pharmacokinetic models for a bolus plus slow infusion technique at a 5, 10, and 15\u00a0min steady state intravascular concentration was compared to single bolus curves. The 70\u00a0%/30\u00a0% bolus/slow infusion technique resulted in the highest intravascular concentration over a 5\u00a0min scan duration. Similarly, the 60\u00a0%/40\u00a0% bolus/slow infusion technique was projected to be ideal for image acquisition duration of 5-10\u00a0min. These models were confirmed with T1 maps on normal volunteers. Arterial-venous mixing of contrast was achieved within 90\u00a0s of the beginning of the bolus.\nCONCLUSIONS: Gadofosveset injection is optimized for the lowest intravascular T1 time for 5-10\u00a0min duration MR angiography by bolus injection of 60-70\u00a0% of the total dose followed by slow infusion of the remainder of the total dose. This protocol achieves rapid and prolonged steady state intravascular concentrations of the GBCA that may be useful for prolonged image acquisition, such as required for navigator-based coronary MR angiography at 3 Tesla.\nTRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01130545 NCT01130545 , registered as of May 25, 2010.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s12872-015-0176-0", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2725154", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2501448", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1024935", 
        "issn": [
          "1471-2261"
        ], 
        "name": "BMC Cardiovascular Disorders", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "name": "Part 1 \u2013 Coronary angiography with gadofosveset trisodium: a prospective feasibility study evaluating injection techniques for steady-state imaging", 
    "pagination": "177", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b6a5fdb768e24a62d09e454e30c144f03f0a0ab871dbd2ed02edcf86887befa3"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26695065"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100968539"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12872-015-0176-0"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038342339"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12872-015-0176-0", 
      "https://app.dimensions.ai/details/publication/pub.1038342339"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T18:21", 
    "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_8675_00000514.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2Fs12872-015-0176-0"
  }
]
 

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/s12872-015-0176-0'

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/s12872-015-0176-0'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12872-015-0176-0'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12872-015-0176-0'


 

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

273 TRIPLES      21 PREDICATES      68 URIs      39 LITERALS      27 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12872-015-0176-0 schema:about N0a81e9cb81ab4da5ab1e4b6a9931b411
2 N14dbdf90690a4980b8b980e9456faac4
3 N20d01231dbc149e788f9c1d0cfabaf4b
4 N2ae8902a30bc42a2a1c28e2bf4f24e05
5 N2f472ddaa4134abd8aed7052ca93ba77
6 N323bc1941f1e482fa8f9ea6d48d2ba38
7 N4ed6e131c41d41ad86784b7c36402402
8 N53c436cd9ea44df9b8cc7d71123bf819
9 N5516cb2c944f402985616d85a5cb2374
10 N6a0f9aafdc2243e38e39131f1055fad9
11 N6db3a75c1af5444ab175d78721e43392
12 N6f14ef3c4be34110b8c2007852f72573
13 N7926dca69dd14bf2848fd2b50423d497
14 Nb209d38479eb4099b196c293157ee769
15 Ncf1eecd250c147f68f558ef877819de9
16 Nd446fd103a894610acba146aeb397b0f
17 Nfb3f285c7d71406dba2d0d7db3ffdb6e
18 Nfe611b57de344e10909f54d62cd17899
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author Nae84ffb9cdba45c1b6d75540bf2f0e37
22 schema:citation sg:pub.10.1007/s10554-013-0192-z
23 sg:pub.10.1007/s11886-012-0328-0
24 sg:pub.10.1186/1532-429x-13-75
25 sg:pub.10.1186/1532-429x-14-26
26 sg:pub.10.1186/1532-429x-14-27
27 https://app.dimensions.ai/details/publication/pub.1077508441
28 https://doi.org/10.1002/jmri.1880060413
29 https://doi.org/10.1002/jmri.20374
30 https://doi.org/10.1002/mrm.20178
31 https://doi.org/10.1002/mrm.22706
32 https://doi.org/10.1002/mrm.22717
33 https://doi.org/10.1002/mrm.24628
34 https://doi.org/10.1002/mrm.25097
35 https://doi.org/10.1016/j.acra.2010.02.009
36 https://doi.org/10.1016/j.ejrad.2009.04.052
37 https://doi.org/10.1055/s-2002-32226
38 https://doi.org/10.1097/01.rli.0000184756.66360.d3
39 https://doi.org/10.1097/rli.0b013e31817ed1ff
40 https://doi.org/10.1097/rli.0b013e3181a40d1d
41 https://doi.org/10.1148/radiology.207.2.9577506
42 https://doi.org/10.2217/iim.10.39
43 schema:datePublished 2015-12
44 schema:datePublishedReg 2015-12-01
45 schema:description BACKGROUND: The purpose of this study was to define an optimal injection protocol for 5-10 min duration navigator-based coronary MR angiography using an intravascular gadolinium-based contrast agent (GBCA), which is better suited for steady-state coronary MR angiography than conventional GBCAs. METHODS: Using projections from pharmacokinetic models of the intravascular concentration of gadofosveset, a dual-injection protocol was formulated and tested on 14 healthy human subjects. Modified Look-Locker inversion recovery (MOLLI) sequences were used for T1 mapping at 3 Tesla to evaluate the concentration of tracer in the aorta over the scanning interval. RESULTS: Pharmacokinetic models for a bolus plus slow infusion technique at a 5, 10, and 15 min steady state intravascular concentration was compared to single bolus curves. The 70 %/30 % bolus/slow infusion technique resulted in the highest intravascular concentration over a 5 min scan duration. Similarly, the 60 %/40 % bolus/slow infusion technique was projected to be ideal for image acquisition duration of 5-10 min. These models were confirmed with T1 maps on normal volunteers. Arterial-venous mixing of contrast was achieved within 90 s of the beginning of the bolus. CONCLUSIONS: Gadofosveset injection is optimized for the lowest intravascular T1 time for 5-10 min duration MR angiography by bolus injection of 60-70 % of the total dose followed by slow infusion of the remainder of the total dose. This protocol achieves rapid and prolonged steady state intravascular concentrations of the GBCA that may be useful for prolonged image acquisition, such as required for navigator-based coronary MR angiography at 3 Tesla. TRIAL REGISTRATION: ClinicalTrials.gov identifier: NCT01130545 NCT01130545 , registered as of May 25, 2010.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree true
49 schema:isPartOf Nf3f2cbf9ce714d67852d2f19971f302c
50 Nf90487b2c1194c099dacf4a64b274bda
51 sg:journal.1024935
52 schema:name Part 1 – Coronary angiography with gadofosveset trisodium: a prospective feasibility study evaluating injection techniques for steady-state imaging
53 schema:pagination 177
54 schema:productId N267ee8b20b23469685d5a82671ac032d
55 N5b35bc155a0e4ef8b25505b5f232abd4
56 Nb5fa81d7602844d79123d0add52d5f04
57 Ncd9736cfa32140babf82603948df3fe8
58 Nd6a7151fdf2e41bfbc648a2361915167
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038342339
60 https://doi.org/10.1186/s12872-015-0176-0
61 schema:sdDatePublished 2019-04-10T18:21
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher N2398c6ef95fb4732872e3dbbc15fba56
64 schema:url http://link.springer.com/10.1186%2Fs12872-015-0176-0
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N0176fac17e4e41ffad46f67078e1a48f rdf:first sg:person.01201275026.57
69 rdf:rest Nb3203608694c4d0bae1d9c38bc81588c
70 N0a81e9cb81ab4da5ab1e4b6a9931b411 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Adult
72 rdf:type schema:DefinedTerm
73 N0af267ec891148eebb333b883aa99eee rdf:first sg:person.01302651346.03
74 rdf:rest N5f17080f3ed44109b2ee979040891f9c
75 N0f857d8820ba48ac88bf836ff9e4e35f rdf:first sg:person.01121513432.05
76 rdf:rest rdf:nil
77 N14dbdf90690a4980b8b980e9456faac4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Contrast Media
79 rdf:type schema:DefinedTerm
80 N20d01231dbc149e788f9c1d0cfabaf4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Predictive Value of Tests
82 rdf:type schema:DefinedTerm
83 N2398c6ef95fb4732872e3dbbc15fba56 schema:name Springer Nature - SN SciGraph project
84 rdf:type schema:Organization
85 N267ee8b20b23469685d5a82671ac032d schema:name nlm_unique_id
86 schema:value 100968539
87 rdf:type schema:PropertyValue
88 N2ae8902a30bc42a2a1c28e2bf4f24e05 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Gadolinium
90 rdf:type schema:DefinedTerm
91 N2f472ddaa4134abd8aed7052ca93ba77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Organometallic Compounds
93 rdf:type schema:DefinedTerm
94 N323bc1941f1e482fa8f9ea6d48d2ba38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
95 schema:name Coronary Vessels
96 rdf:type schema:DefinedTerm
97 N491a116e7687473497039214e5de7c56 rdf:first sg:person.01136172260.58
98 rdf:rest N0af267ec891148eebb333b883aa99eee
99 N4ed6e131c41d41ad86784b7c36402402 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Drug Administration Schedule
101 rdf:type schema:DefinedTerm
102 N53c436cd9ea44df9b8cc7d71123bf819 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Male
104 rdf:type schema:DefinedTerm
105 N5516cb2c944f402985616d85a5cb2374 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Feasibility Studies
107 rdf:type schema:DefinedTerm
108 N5b35bc155a0e4ef8b25505b5f232abd4 schema:name doi
109 schema:value 10.1186/s12872-015-0176-0
110 rdf:type schema:PropertyValue
111 N5f17080f3ed44109b2ee979040891f9c rdf:first sg:person.0641521172.58
112 rdf:rest Nb9098fc183f3410792605b0e3bd54a58
113 N6a0f9aafdc2243e38e39131f1055fad9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
114 schema:name Healthy Volunteers
115 rdf:type schema:DefinedTerm
116 N6db3a75c1af5444ab175d78721e43392 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Magnetic Resonance Angiography
118 rdf:type schema:DefinedTerm
119 N6f14ef3c4be34110b8c2007852f72573 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Prospective Studies
121 rdf:type schema:DefinedTerm
122 N7277c536fd454a1593d73bc0242b2f7c rdf:first sg:person.01067525465.28
123 rdf:rest N491a116e7687473497039214e5de7c56
124 N7926dca69dd14bf2848fd2b50423d497 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Infusions, Parenteral
126 rdf:type schema:DefinedTerm
127 Nae84ffb9cdba45c1b6d75540bf2f0e37 rdf:first sg:person.01070362705.53
128 rdf:rest N0176fac17e4e41ffad46f67078e1a48f
129 Nb209d38479eb4099b196c293157ee769 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Models, Biological
131 rdf:type schema:DefinedTerm
132 Nb3203608694c4d0bae1d9c38bc81588c rdf:first sg:person.01165650034.66
133 rdf:rest N7277c536fd454a1593d73bc0242b2f7c
134 Nb5fa81d7602844d79123d0add52d5f04 schema:name pubmed_id
135 schema:value 26695065
136 rdf:type schema:PropertyValue
137 Nb9098fc183f3410792605b0e3bd54a58 rdf:first sg:person.01152021525.33
138 rdf:rest N0f857d8820ba48ac88bf836ff9e4e35f
139 Ncd9736cfa32140babf82603948df3fe8 schema:name readcube_id
140 schema:value b6a5fdb768e24a62d09e454e30c144f03f0a0ab871dbd2ed02edcf86887befa3
141 rdf:type schema:PropertyValue
142 Ncf1eecd250c147f68f558ef877819de9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Injections
144 rdf:type schema:DefinedTerm
145 Nd446fd103a894610acba146aeb397b0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Humans
147 rdf:type schema:DefinedTerm
148 Nd6a7151fdf2e41bfbc648a2361915167 schema:name dimensions_id
149 schema:value pub.1038342339
150 rdf:type schema:PropertyValue
151 Nf3f2cbf9ce714d67852d2f19971f302c schema:volumeNumber 15
152 rdf:type schema:PublicationVolume
153 Nf90487b2c1194c099dacf4a64b274bda schema:issueNumber 1
154 rdf:type schema:PublicationIssue
155 Nfb3f285c7d71406dba2d0d7db3ffdb6e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Coronary Angiography
157 rdf:type schema:DefinedTerm
158 Nfe611b57de344e10909f54d62cd17899 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Female
160 rdf:type schema:DefinedTerm
161 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
162 schema:name Medical and Health Sciences
163 rdf:type schema:DefinedTerm
164 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
165 schema:name Clinical Sciences
166 rdf:type schema:DefinedTerm
167 sg:grant.2501448 http://pending.schema.org/fundedItem sg:pub.10.1186/s12872-015-0176-0
168 rdf:type schema:MonetaryGrant
169 sg:grant.2725154 http://pending.schema.org/fundedItem sg:pub.10.1186/s12872-015-0176-0
170 rdf:type schema:MonetaryGrant
171 sg:journal.1024935 schema:issn 1471-2261
172 schema:name BMC Cardiovascular Disorders
173 rdf:type schema:Periodical
174 sg:person.01067525465.28 schema:affiliation https://www.grid.ac/institutes/grid.50956.3f
175 schema:familyName Pang
176 schema:givenName Jianing
177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067525465.28
178 rdf:type schema:Person
179 sg:person.01070362705.53 schema:affiliation https://www.grid.ac/institutes/grid.410305.3
180 schema:familyName Ahlman
181 schema:givenName Mark A.
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070362705.53
183 rdf:type schema:Person
184 sg:person.01121513432.05 schema:affiliation https://www.grid.ac/institutes/grid.410305.3
185 schema:familyName Bluemke
186 schema:givenName David A.
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121513432.05
188 rdf:type schema:Person
189 sg:person.01136172260.58 schema:affiliation https://www.grid.ac/institutes/grid.50956.3f
190 schema:familyName Fan
191 schema:givenName Zhaoyang
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136172260.58
193 rdf:type schema:Person
194 sg:person.01152021525.33 schema:affiliation https://www.grid.ac/institutes/grid.50956.3f
195 schema:familyName Li
196 schema:givenName Debiao
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152021525.33
198 rdf:type schema:Person
199 sg:person.01165650034.66 schema:affiliation https://www.grid.ac/institutes/grid.266869.5
200 schema:familyName Penzak
201 schema:givenName Scott R.
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165650034.66
203 rdf:type schema:Person
204 sg:person.01201275026.57 schema:affiliation https://www.grid.ac/institutes/grid.410305.3
205 schema:familyName Raman
206 schema:givenName Fabio S.
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201275026.57
208 rdf:type schema:Person
209 sg:person.01302651346.03 schema:affiliation https://www.grid.ac/institutes/grid.410305.3
210 schema:familyName Liu
211 schema:givenName Songtao
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302651346.03
213 rdf:type schema:Person
214 sg:person.0641521172.58 schema:affiliation https://www.grid.ac/institutes/grid.410305.3
215 schema:familyName Gai
216 schema:givenName Neville
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641521172.58
218 rdf:type schema:Person
219 sg:pub.10.1007/s10554-013-0192-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037673109
220 https://doi.org/10.1007/s10554-013-0192-z
221 rdf:type schema:CreativeWork
222 sg:pub.10.1007/s11886-012-0328-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042336509
223 https://doi.org/10.1007/s11886-012-0328-0
224 rdf:type schema:CreativeWork
225 sg:pub.10.1186/1532-429x-13-75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003547417
226 https://doi.org/10.1186/1532-429x-13-75
227 rdf:type schema:CreativeWork
228 sg:pub.10.1186/1532-429x-14-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006079230
229 https://doi.org/10.1186/1532-429x-14-26
230 rdf:type schema:CreativeWork
231 sg:pub.10.1186/1532-429x-14-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014145175
232 https://doi.org/10.1186/1532-429x-14-27
233 rdf:type schema:CreativeWork
234 https://app.dimensions.ai/details/publication/pub.1077508441 schema:CreativeWork
235 https://doi.org/10.1002/jmri.1880060413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039736770
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1002/jmri.20374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008124625
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1002/mrm.20178 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007568829
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1002/mrm.22706 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043463427
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1002/mrm.22717 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021206724
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/mrm.24628 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050417592
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/mrm.25097 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052144870
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/j.acra.2010.02.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036065418
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/j.ejrad.2009.04.052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050008515
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1055/s-2002-32226 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057415230
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1097/01.rli.0000184756.66360.d3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047558970
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1097/rli.0b013e31817ed1ff schema:sameAs https://app.dimensions.ai/details/publication/pub.1014694042
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1097/rli.0b013e3181a40d1d schema:sameAs https://app.dimensions.ai/details/publication/pub.1015286370
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1148/radiology.207.2.9577506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083257437
262 rdf:type schema:CreativeWork
263 https://doi.org/10.2217/iim.10.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021882046
264 rdf:type schema:CreativeWork
265 https://www.grid.ac/institutes/grid.266869.5 schema:alternateName University of North Texas
266 schema:name Department of Pharmacotherapy, University of North Texas, Fort Worth, TX, USA
267 rdf:type schema:Organization
268 https://www.grid.ac/institutes/grid.410305.3 schema:alternateName National Institutes of Health Clinical Center
269 schema:name Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA
270 rdf:type schema:Organization
271 https://www.grid.ac/institutes/grid.50956.3f schema:alternateName Cedars-Sinai Medical Center
272 schema:name Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA
273 rdf:type schema:Organization
 




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


...