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

2015-12-22

AUTHORS

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

ABSTRACT

BackgroundThe 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.MethodsUsing 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.ResultsPharmacokinetic 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.ConclusionsGadofosveset 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 registrationClinicalTrials.gov identifier: NCT01130545NCT01130545, registered as of May 25, 2010. More... »

PAGES

177

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/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical 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": "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA", 
          "id": "http://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": "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA", 
          "id": "http://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": "Department of Pharmacotherapy, University of North Texas, Fort Worth, TX, USA", 
          "id": "http://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": "Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA", 
          "id": "http://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": "Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA", 
          "id": "http://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": "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA", 
          "id": "http://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": "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA", 
          "id": "http://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": "Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA", 
          "id": "http://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": "Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA", 
          "id": "http://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.10.1007/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/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": "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": "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-14-27", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014145175", 
          "https://doi.org/10.1186/1532-429x-14-27"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-12-22", 
    "datePublishedReg": "2015-12-22", 
    "description": "BackgroundThe purpose of this study was to define an optimal injection protocol for 5\u201310\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.MethodsUsing 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.ResultsPharmacokinetic 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\u201310\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.ConclusionsGadofosveset injection is optimized for the lowest intravascular T1 time for 5\u201310\u00a0min duration MR angiography by bolus injection of 60\u201370\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.Trial registrationClinicalTrials.gov identifier: NCT01130545NCT01130545, registered as of May 25, 2010.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12872-015-0176-0", 
    "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", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "keywords": [
      "gadolinium-based contrast agents", 
      "slow infusion technique", 
      "coronary MR angiography", 
      "MR angiography", 
      "intravascular concentration", 
      "total dose", 
      "infusion technique", 
      "optimal injection protocol", 
      "high intravascular concentrations", 
      "prospective feasibility study", 
      "healthy human subjects", 
      "conventional gadolinium-based contrast agents", 
      "inversion recovery sequence", 
      "bolus injection", 
      "slow infusion", 
      "normal volunteers", 
      "angiography", 
      "pharmacokinetic model", 
      "injection protocol", 
      "gadofosveset trisodium", 
      "steady-state imaging", 
      "T1 mapping", 
      "human subjects", 
      "recovery sequence", 
      "bolus", 
      "dose", 
      "contrast agents", 
      "T1 times", 
      "injection", 
      "scan duration", 
      "injection technique", 
      "T1 maps", 
      "duration", 
      "bolus curve", 
      "aorta", 
      "infusion", 
      "feasibility study", 
      "gadofosveset", 
      "volunteers", 
      "protocol", 
      "acquisition duration", 
      "concentration", 
      "study", 
      "subjects", 
      "trisodium", 
      "imaging", 
      "agents", 
      "min", 
      "interval", 
      "remainder", 
      "Tesla", 
      "concentration of tracer", 
      "scanning interval", 
      "image acquisition", 
      "contrast", 
      "tracer", 
      "purpose", 
      "technique", 
      "model", 
      "time", 
      "curves", 
      "projections", 
      "acquisition", 
      "beginning", 
      "part", 
      "identifiers", 
      "sequence", 
      "mapping", 
      "Modified", 
      "maps", 
      "mixing"
    ], 
    "name": "Part 1 \u2013 Coronary angiography with gadofosveset trisodium: a prospective feasibility study evaluating injection techniques for steady-state imaging", 
    "pagination": "177", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038342339"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12872-015-0176-0"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26695065"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12872-015-0176-0", 
      "https://app.dimensions.ai/details/publication/pub.1038342339"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-10-01T06:40", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_666.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12872-015-0176-0"
  }
]
 

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.

289 TRIPLES      21 PREDICATES      119 URIs      106 LITERALS      25 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12872-015-0176-0 schema:about N07391e42dfb1415693d2094893119d43
2 N22069c4ca00e49beb99af58e72fb9411
3 N2821db6d1a76413aab4b49e83e0c3706
4 N299c72088bdc4282a8304b9d4fbdb2b6
5 N3d0253dab9d241f0929ffa21a7a535bb
6 N42c8b05ffb3d462d832687b4516cc82e
7 N5d22cb6489bb470a8d3d039bdaa5745d
8 N6a2a293828044d218f4be2f6b797dc16
9 N88ae27e35deb4c1c94a3cac0c18ef9e6
10 N94a973e64d5f4514aff56dae74944d43
11 Nb5b9f2129093453e8d2689441f095a25
12 Nc0c4f12241db48959ce1d05e7b1dd38e
13 Nccc03094adaf46a5912a949f5095e747
14 Ne368a11300dc4689ad13a20b17fb965a
15 Ne6bd8c47cf144e36bd6e1600934fd11f
16 Ne751cf89745c43b89909309c9aa16734
17 Nedef7f3e5db4408db69ea77693f0e138
18 Nf59d2267499a4d3cb8cb2d9648e3f29f
19 anzsrc-for:11
20 anzsrc-for:1103
21 schema:author Nbff17d05f00d484fbc40b2b13cf019b5
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 schema:datePublished 2015-12-22
28 schema:datePublishedReg 2015-12-22
29 schema:description BackgroundThe 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.MethodsUsing 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.ResultsPharmacokinetic 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.ConclusionsGadofosveset 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 registrationClinicalTrials.gov identifier: NCT01130545NCT01130545, registered as of May 25, 2010.
30 schema:genre article
31 schema:isAccessibleForFree true
32 schema:isPartOf N9ee7a7e6779f4551b5a6cbe46590ff17
33 Nc44b746a5dd244cba5e30e4986d55993
34 sg:journal.1024935
35 schema:keywords MR angiography
36 Modified
37 T1 mapping
38 T1 maps
39 T1 times
40 Tesla
41 acquisition
42 acquisition duration
43 agents
44 angiography
45 aorta
46 beginning
47 bolus
48 bolus curve
49 bolus injection
50 concentration
51 concentration of tracer
52 contrast
53 contrast agents
54 conventional gadolinium-based contrast agents
55 coronary MR angiography
56 curves
57 dose
58 duration
59 feasibility study
60 gadofosveset
61 gadofosveset trisodium
62 gadolinium-based contrast agents
63 healthy human subjects
64 high intravascular concentrations
65 human subjects
66 identifiers
67 image acquisition
68 imaging
69 infusion
70 infusion technique
71 injection
72 injection protocol
73 injection technique
74 interval
75 intravascular concentration
76 inversion recovery sequence
77 mapping
78 maps
79 min
80 mixing
81 model
82 normal volunteers
83 optimal injection protocol
84 part
85 pharmacokinetic model
86 projections
87 prospective feasibility study
88 protocol
89 purpose
90 recovery sequence
91 remainder
92 scan duration
93 scanning interval
94 sequence
95 slow infusion
96 slow infusion technique
97 steady-state imaging
98 study
99 subjects
100 technique
101 time
102 total dose
103 tracer
104 trisodium
105 volunteers
106 schema:name Part 1 – Coronary angiography with gadofosveset trisodium: a prospective feasibility study evaluating injection techniques for steady-state imaging
107 schema:pagination 177
108 schema:productId N5192ffd0b05b43f186193b3850f936ce
109 N821be8b218d74e9eba0a2ea9091a7fef
110 Ne08b14d77cb04216bc31e100acf2e6d9
111 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038342339
112 https://doi.org/10.1186/s12872-015-0176-0
113 schema:sdDatePublished 2022-10-01T06:40
114 schema:sdLicense https://scigraph.springernature.com/explorer/license/
115 schema:sdPublisher Nf9f8f2baf33241e4b55a687a787a3ac3
116 schema:url https://doi.org/10.1186/s12872-015-0176-0
117 sgo:license sg:explorer/license/
118 sgo:sdDataset articles
119 rdf:type schema:ScholarlyArticle
120 N07391e42dfb1415693d2094893119d43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Male
122 rdf:type schema:DefinedTerm
123 N22069c4ca00e49beb99af58e72fb9411 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Healthy Volunteers
125 rdf:type schema:DefinedTerm
126 N2821db6d1a76413aab4b49e83e0c3706 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Feasibility Studies
128 rdf:type schema:DefinedTerm
129 N299c72088bdc4282a8304b9d4fbdb2b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Gadolinium
131 rdf:type schema:DefinedTerm
132 N2aa436529b274fb3a0a30909da96f14b rdf:first sg:person.0641521172.58
133 rdf:rest N32780867c5ea47d7b9461ca59074a577
134 N32780867c5ea47d7b9461ca59074a577 rdf:first sg:person.01152021525.33
135 rdf:rest N77414afafadc47e29b60338645448e3f
136 N35ff70f0c5064eb497efa387bc51a267 rdf:first sg:person.01067525465.28
137 rdf:rest Nf776e6fd28ba4f93b466835d41b2e0b5
138 N3d0253dab9d241f0929ffa21a7a535bb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Models, Biological
140 rdf:type schema:DefinedTerm
141 N42c8b05ffb3d462d832687b4516cc82e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Drug Administration Schedule
143 rdf:type schema:DefinedTerm
144 N5192ffd0b05b43f186193b3850f936ce schema:name dimensions_id
145 schema:value pub.1038342339
146 rdf:type schema:PropertyValue
147 N5d22cb6489bb470a8d3d039bdaa5745d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Predictive Value of Tests
149 rdf:type schema:DefinedTerm
150 N6a2a293828044d218f4be2f6b797dc16 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Adult
152 rdf:type schema:DefinedTerm
153 N6d8a22f52c88498db15ec94b3fbc9907 rdf:first sg:person.01201275026.57
154 rdf:rest Nf1cb448a5a854f96a75c4a26367f6f20
155 N77414afafadc47e29b60338645448e3f rdf:first sg:person.01121513432.05
156 rdf:rest rdf:nil
157 N821be8b218d74e9eba0a2ea9091a7fef schema:name doi
158 schema:value 10.1186/s12872-015-0176-0
159 rdf:type schema:PropertyValue
160 N88ae27e35deb4c1c94a3cac0c18ef9e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
161 schema:name Humans
162 rdf:type schema:DefinedTerm
163 N94a973e64d5f4514aff56dae74944d43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Coronary Angiography
165 rdf:type schema:DefinedTerm
166 N9ee7a7e6779f4551b5a6cbe46590ff17 schema:issueNumber 1
167 rdf:type schema:PublicationIssue
168 Nb5b9f2129093453e8d2689441f095a25 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Female
170 rdf:type schema:DefinedTerm
171 Nbff17d05f00d484fbc40b2b13cf019b5 rdf:first sg:person.01070362705.53
172 rdf:rest N6d8a22f52c88498db15ec94b3fbc9907
173 Nc0c4f12241db48959ce1d05e7b1dd38e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
174 schema:name Prospective Studies
175 rdf:type schema:DefinedTerm
176 Nc44b746a5dd244cba5e30e4986d55993 schema:volumeNumber 15
177 rdf:type schema:PublicationVolume
178 Ncb8422209fb043be805afda6b4416d16 rdf:first sg:person.01302651346.03
179 rdf:rest N2aa436529b274fb3a0a30909da96f14b
180 Nccc03094adaf46a5912a949f5095e747 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Magnetic Resonance Angiography
182 rdf:type schema:DefinedTerm
183 Ne08b14d77cb04216bc31e100acf2e6d9 schema:name pubmed_id
184 schema:value 26695065
185 rdf:type schema:PropertyValue
186 Ne368a11300dc4689ad13a20b17fb965a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Injections
188 rdf:type schema:DefinedTerm
189 Ne6bd8c47cf144e36bd6e1600934fd11f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Contrast Media
191 rdf:type schema:DefinedTerm
192 Ne751cf89745c43b89909309c9aa16734 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
193 schema:name Organometallic Compounds
194 rdf:type schema:DefinedTerm
195 Nedef7f3e5db4408db69ea77693f0e138 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
196 schema:name Coronary Vessels
197 rdf:type schema:DefinedTerm
198 Nf1cb448a5a854f96a75c4a26367f6f20 rdf:first sg:person.01165650034.66
199 rdf:rest N35ff70f0c5064eb497efa387bc51a267
200 Nf59d2267499a4d3cb8cb2d9648e3f29f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
201 schema:name Infusions, Parenteral
202 rdf:type schema:DefinedTerm
203 Nf776e6fd28ba4f93b466835d41b2e0b5 rdf:first sg:person.01136172260.58
204 rdf:rest Ncb8422209fb043be805afda6b4416d16
205 Nf9f8f2baf33241e4b55a687a787a3ac3 schema:name Springer Nature - SN SciGraph project
206 rdf:type schema:Organization
207 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
208 schema:name Medical and Health Sciences
209 rdf:type schema:DefinedTerm
210 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
211 schema:name Clinical Sciences
212 rdf:type schema:DefinedTerm
213 sg:grant.2501448 http://pending.schema.org/fundedItem sg:pub.10.1186/s12872-015-0176-0
214 rdf:type schema:MonetaryGrant
215 sg:grant.2725154 http://pending.schema.org/fundedItem sg:pub.10.1186/s12872-015-0176-0
216 rdf:type schema:MonetaryGrant
217 sg:journal.1024935 schema:issn 1471-2261
218 schema:name BMC Cardiovascular Disorders
219 schema:publisher Springer Nature
220 rdf:type schema:Periodical
221 sg:person.01067525465.28 schema:affiliation grid-institutes:grid.50956.3f
222 schema:familyName Pang
223 schema:givenName Jianing
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067525465.28
225 rdf:type schema:Person
226 sg:person.01070362705.53 schema:affiliation grid-institutes:grid.410305.3
227 schema:familyName Ahlman
228 schema:givenName Mark A.
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070362705.53
230 rdf:type schema:Person
231 sg:person.01121513432.05 schema:affiliation grid-institutes:grid.410305.3
232 schema:familyName Bluemke
233 schema:givenName David A.
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01121513432.05
235 rdf:type schema:Person
236 sg:person.01136172260.58 schema:affiliation grid-institutes:grid.50956.3f
237 schema:familyName Fan
238 schema:givenName Zhaoyang
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136172260.58
240 rdf:type schema:Person
241 sg:person.01152021525.33 schema:affiliation grid-institutes:grid.50956.3f
242 schema:familyName Li
243 schema:givenName Debiao
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01152021525.33
245 rdf:type schema:Person
246 sg:person.01165650034.66 schema:affiliation grid-institutes:grid.266869.5
247 schema:familyName Penzak
248 schema:givenName Scott R.
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165650034.66
250 rdf:type schema:Person
251 sg:person.01201275026.57 schema:affiliation grid-institutes:grid.410305.3
252 schema:familyName Raman
253 schema:givenName Fabio S.
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201275026.57
255 rdf:type schema:Person
256 sg:person.01302651346.03 schema:affiliation grid-institutes:grid.410305.3
257 schema:familyName Liu
258 schema:givenName Songtao
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01302651346.03
260 rdf:type schema:Person
261 sg:person.0641521172.58 schema:affiliation grid-institutes:grid.410305.3
262 schema:familyName Gai
263 schema:givenName Neville
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0641521172.58
265 rdf:type schema:Person
266 sg:pub.10.1007/s10554-013-0192-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1037673109
267 https://doi.org/10.1007/s10554-013-0192-z
268 rdf:type schema:CreativeWork
269 sg:pub.10.1007/s11886-012-0328-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042336509
270 https://doi.org/10.1007/s11886-012-0328-0
271 rdf:type schema:CreativeWork
272 sg:pub.10.1186/1532-429x-13-75 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003547417
273 https://doi.org/10.1186/1532-429x-13-75
274 rdf:type schema:CreativeWork
275 sg:pub.10.1186/1532-429x-14-26 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006079230
276 https://doi.org/10.1186/1532-429x-14-26
277 rdf:type schema:CreativeWork
278 sg:pub.10.1186/1532-429x-14-27 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014145175
279 https://doi.org/10.1186/1532-429x-14-27
280 rdf:type schema:CreativeWork
281 grid-institutes:grid.266869.5 schema:alternateName Department of Pharmacotherapy, University of North Texas, Fort Worth, TX, USA
282 schema:name Department of Pharmacotherapy, University of North Texas, Fort Worth, TX, USA
283 rdf:type schema:Organization
284 grid-institutes:grid.410305.3 schema:alternateName Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA
285 schema:name Radiology and Imaging Sciences - National Institutes of Health Clinical Center, Bethesda, MD, USA
286 rdf:type schema:Organization
287 grid-institutes:grid.50956.3f schema:alternateName Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA
288 schema:name Bioengineering, Cedars-Sinai Medical Center, Los Angeles, CA, USA
289 rdf:type schema:Organization
 




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


...