Pathophysiologic correlates of 82Rb biodistribution in cardiac PET/CT View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-03

AUTHORS

Tracy Lynnette Yarbrough Brown, Corina Voicu, Jennifer Merrill, Frank M. Bengel

ABSTRACT

PURPOSE: PET perfusion imaging with (82)Rb is a powerful tool for evaluating coronary artery disease (CAD). Little is known about normal patterns or significance of (82)Rb lung distribution in the setting of heart disease. Herein, PET/CT hybrid imaging was used to obtain insights into the frequency and potential radiomorphologic correlates of altered (82)Rb distribution. METHODS: Myocardial perfusion PET/CT studies of 58 patients referred for workup of CAD were analyzed [28 normal and 30 patients with low left ventricular ejection fraction (LVEF)]. Organ regions of interest were placed on PET images, and (82)Rb uptake was measured and compared under resting and stress conditions. RESULTS: Qualitatively increased lung uptake was observed in 13 patients-5 with normal LVEF(R) and 8 with reduced LVEF(R); 12 of 13 had lung infiltrates/atelectasis on CT. Lung to heart ratios in the normal and low EF groups were (mean ± SD) 0.168 ± 0.047 and 0.171 ± 0.075 at rest, and 0.128 ± 0.035 and 0.147 ± 0.067 during stress (p = 0.87 and 0.18, respectively). Lung to liver ratios were not significantly different between the two groups under stress or rest conditions. CONCLUSION: Increased lung uptake of (82)Rb occurs in a subset of patients referred for workup of CAD by PET/CT and may be influenced by primary parenchymal abnormalities and LV dysfunction. Thus, the relevance of pulmonary (82)Rb uptake as a marker of cardiac outcome may be limited. Larger studies are needed to determine how non-cardiac (82)Rb uptake and CT findings may be integrated to increase the diagnostic and prognostic value of cardiac PET/CT. More... »

PAGES

479-484

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00259-010-1632-9

DOI

http://dx.doi.org/10.1007/s00259-010-1632-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024278666

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/20936408


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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biological Transport", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Coronary Artery Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Liver", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lung", 
        "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 Perfusion Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Myocardium", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Positron-Emission Tomography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Rubidium Radioisotopes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Stress, Physiological", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, X-Ray Computed", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Ventricular Dysfunction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Young Adult", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Arkansas for Medical Sciences", 
          "id": "https://www.grid.ac/institutes/grid.241054.6", 
          "name": [
            "Department of Radiology, Division of Nuclear Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham St., Slot 556, 72205, Little Rock, AR, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Brown", 
        "givenName": "Tracy Lynnette Yarbrough", 
        "id": "sg:person.0665653512.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665653512.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Radiology and Radiological Sciences, Division of Nuclear Medicine, Johns Hopkins University Medical Institutions, 601 N. Caroline St., JHOC 3223, 21287, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Voicu", 
        "givenName": "Corina", 
        "id": "sg:person.0665331203.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665331203.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Radiology and Radiological Sciences, Division of Nuclear Medicine, Johns Hopkins University Medical Institutions, 601 N. Caroline St., JHOC 3223, 21287, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Merrill", 
        "givenName": "Jennifer", 
        "id": "sg:person.01067051554.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067051554.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Hannover Medical School", 
          "id": "https://www.grid.ac/institutes/grid.10423.34", 
          "name": [
            "Department of Radiology and Radiological Sciences, Division of Nuclear Medicine, Johns Hopkins University Medical Institutions, 601 N. Caroline St., JHOC 3223, 21287, Baltimore, MD, USA", 
            "Klinik fuer Nuklearmedizin, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Germany"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bengel", 
        "givenName": "Frank M.", 
        "id": "sg:person.01225020511.95", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225020511.95"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1016/j.nuclcard.2004.02.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020824138", 
          "https://doi.org/10.1016/j.nuclcard.2004.02.006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0735-1097(97)00164-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023670257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0014-5793(89)80472-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024873075"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2009.02.065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037812548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-006-0255-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039310233", 
          "https://doi.org/10.1007/s00259-006-0255-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-006-0255-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039310233", 
          "https://doi.org/10.1007/s00259-006-0255-7"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2385-6-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041529936", 
          "https://doi.org/10.1186/1471-2385-6-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2385-6-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041529936", 
          "https://doi.org/10.1186/1471-2385-6-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jacc.2005.02.059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047130943"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1067/mnc.2002.118695", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048906215", 
          "https://doi.org/10.1067/mnc.2002.118695"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0002-9149(80)90434-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053593494"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077001486", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2011-03", 
    "datePublishedReg": "2011-03-01", 
    "description": "PURPOSE: PET perfusion imaging with (82)Rb is a powerful tool for evaluating coronary artery disease (CAD). Little is known about normal patterns or significance of (82)Rb lung distribution in the setting of heart disease. Herein, PET/CT hybrid imaging was used to obtain insights into the frequency and potential radiomorphologic correlates of altered (82)Rb distribution.\nMETHODS: Myocardial perfusion PET/CT studies of 58 patients referred for workup of CAD were analyzed [28 normal and 30 patients with low left ventricular ejection fraction (LVEF)]. Organ regions of interest were placed on PET images, and (82)Rb uptake was measured and compared under resting and stress conditions.\nRESULTS: Qualitatively increased lung uptake was observed in 13 patients-5 with normal LVEF(R) and 8 with reduced LVEF(R); 12 of 13 had lung infiltrates/atelectasis on CT. Lung to heart ratios in the normal and low EF groups were (mean \u00b1 SD) 0.168\u2009\u00b1\u20090.047 and 0.171\u2009\u00b1\u20090.075 at rest, and 0.128\u2009\u00b1\u20090.035 and 0.147\u2009\u00b1\u20090.067 during stress (p\u2009=\u20090.87 and 0.18, respectively). Lung to liver ratios were not significantly different between the two groups under stress or rest conditions.\nCONCLUSION: Increased lung uptake of (82)Rb occurs in a subset of patients referred for workup of CAD by PET/CT and may be influenced by primary parenchymal abnormalities and LV dysfunction. Thus, the relevance of pulmonary (82)Rb uptake as a marker of cardiac outcome may be limited. Larger studies are needed to determine how non-cardiac (82)Rb uptake and CT findings may be integrated to increase the diagnostic and prognostic value of cardiac PET/CT.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00259-010-1632-9", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1297401", 
        "issn": [
          "1619-7070", 
          "1619-7089"
        ], 
        "name": "European Journal of Nuclear Medicine and Molecular Imaging", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "38"
      }
    ], 
    "name": "Pathophysiologic correlates of 82Rb biodistribution in cardiac PET/CT", 
    "pagination": "479-484", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "73aaa8c0c5454eba9ddd882ccbddd47eeb91f530998e8b90e63f470b8fafab87"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "20936408"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101140988"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00259-010-1632-9"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024278666"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00259-010-1632-9", 
      "https://app.dimensions.ai/details/publication/pub.1024278666"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:51", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000512.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00259-010-1632-9"
  }
]
 

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

HOW TO GET THIS DATA PROGRAMMATICALLY:

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

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00259-010-1632-9'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00259-010-1632-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-010-1632-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-010-1632-9'


 

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

230 TRIPLES      21 PREDICATES      64 URIs      46 LITERALS      34 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00259-010-1632-9 schema:about N00339c6b4756463291930e5b18bd8387
2 N0930b9975b324c8e97bb106ecb681bd7
3 N100b2460ea214f908643814b2a9cbbae
4 N1e9d04a8461e465daa39a4e8e10d48f9
5 N2e0f99817efb4d059f0c0a6aec394411
6 N3163e6ac91b74d80ae14b76dec8f8be1
7 N3449c54e7fa04b63b0607390ff228ecd
8 N37d062c588204399a877d48dde54ab4b
9 N423af913a6d14de9bfcaa06a28bdace1
10 N5419368b7ffc42fea6b6e27f40794321
11 N57c7e00230b44433b2d592683f675709
12 N64313903842b47f3b35d1b6fc018c28c
13 N65e5186429874dc382a3780dac2cf59b
14 N725b0e2d74bc458f94af4e1c5f7f72bd
15 N857e294fd31c4bf6b39a71de90f9e183
16 N8fdb7e64fe5a46faad8447759f2c37e7
17 N94fb33ea58f54ccf8d004b0801568001
18 N9f3a8c1f0b1847f19c3ec8079abd35d0
19 Nad6f41463dc14abf9772f525fbcd0804
20 Nb266cd84a0734646acebaf297662c577
21 Nbd198af7d6a8433d83802c92e51ff627
22 Nc1ccd1c79315404395497e59878e5d29
23 Nd838194b4e0b4abb898691c041c91e3a
24 Nf44916dbd19c4ac8b2c1a911c44a27fe
25 Nfee44d7898884c74b60723fdc8afb869
26 anzsrc-for:11
27 anzsrc-for:1102
28 schema:author Nf6f268b8731b4ab399b29a84b7188a1b
29 schema:citation sg:pub.10.1007/s00259-006-0255-7
30 sg:pub.10.1016/j.nuclcard.2004.02.006
31 sg:pub.10.1067/mnc.2002.118695
32 sg:pub.10.1186/1471-2385-6-2
33 https://app.dimensions.ai/details/publication/pub.1077001486
34 https://doi.org/10.1016/0002-9149(80)90434-8
35 https://doi.org/10.1016/0014-5793(89)80472-7
36 https://doi.org/10.1016/j.jacc.2005.02.059
37 https://doi.org/10.1016/j.jacc.2009.02.065
38 https://doi.org/10.1016/s0735-1097(97)00164-2
39 schema:datePublished 2011-03
40 schema:datePublishedReg 2011-03-01
41 schema:description PURPOSE: PET perfusion imaging with (82)Rb is a powerful tool for evaluating coronary artery disease (CAD). Little is known about normal patterns or significance of (82)Rb lung distribution in the setting of heart disease. Herein, PET/CT hybrid imaging was used to obtain insights into the frequency and potential radiomorphologic correlates of altered (82)Rb distribution. METHODS: Myocardial perfusion PET/CT studies of 58 patients referred for workup of CAD were analyzed [28 normal and 30 patients with low left ventricular ejection fraction (LVEF)]. Organ regions of interest were placed on PET images, and (82)Rb uptake was measured and compared under resting and stress conditions. RESULTS: Qualitatively increased lung uptake was observed in 13 patients-5 with normal LVEF(R) and 8 with reduced LVEF(R); 12 of 13 had lung infiltrates/atelectasis on CT. Lung to heart ratios in the normal and low EF groups were (mean ± SD) 0.168 ± 0.047 and 0.171 ± 0.075 at rest, and 0.128 ± 0.035 and 0.147 ± 0.067 during stress (p = 0.87 and 0.18, respectively). Lung to liver ratios were not significantly different between the two groups under stress or rest conditions. CONCLUSION: Increased lung uptake of (82)Rb occurs in a subset of patients referred for workup of CAD by PET/CT and may be influenced by primary parenchymal abnormalities and LV dysfunction. Thus, the relevance of pulmonary (82)Rb uptake as a marker of cardiac outcome may be limited. Larger studies are needed to determine how non-cardiac (82)Rb uptake and CT findings may be integrated to increase the diagnostic and prognostic value of cardiac PET/CT.
42 schema:genre research_article
43 schema:inLanguage en
44 schema:isAccessibleForFree false
45 schema:isPartOf N5230cb06dc314a8f9526251a0e283f15
46 Nf1906ac61157473d94dd5e8a13808e00
47 sg:journal.1297401
48 schema:name Pathophysiologic correlates of 82Rb biodistribution in cardiac PET/CT
49 schema:pagination 479-484
50 schema:productId N31e61c72c5b64f3d95a9e6950e17252e
51 N55d18c3f12dc4657bdcb10ccd406f076
52 Nba9283baa4a14b708ed6fc903263d204
53 Nd5a8658186684f43ad3fe7cd3d8e4e7f
54 Nff1615e44c45487ca7fc2c20f031d1b6
55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024278666
56 https://doi.org/10.1007/s00259-010-1632-9
57 schema:sdDatePublished 2019-04-10T15:51
58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
59 schema:sdPublisher N863187aee5c6419e8dbdf031563f24fe
60 schema:url http://link.springer.com/10.1007%2Fs00259-010-1632-9
61 sgo:license sg:explorer/license/
62 sgo:sdDataset articles
63 rdf:type schema:ScholarlyArticle
64 N00339c6b4756463291930e5b18bd8387 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
65 schema:name Myocardium
66 rdf:type schema:DefinedTerm
67 N01c1004c01c0458eaf61a2e6ff0b950e rdf:first sg:person.01067051554.58
68 rdf:rest N24be3377b1654f32bf2d4dc4d4d26bea
69 N0930b9975b324c8e97bb106ecb681bd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Myocardial Perfusion Imaging
71 rdf:type schema:DefinedTerm
72 N100b2460ea214f908643814b2a9cbbae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Aged, 80 and over
74 rdf:type schema:DefinedTerm
75 N1e9d04a8461e465daa39a4e8e10d48f9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Humans
77 rdf:type schema:DefinedTerm
78 N24be3377b1654f32bf2d4dc4d4d26bea rdf:first sg:person.01225020511.95
79 rdf:rest rdf:nil
80 N2e0f99817efb4d059f0c0a6aec394411 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Coronary Artery Disease
82 rdf:type schema:DefinedTerm
83 N3163e6ac91b74d80ae14b76dec8f8be1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Liver
85 rdf:type schema:DefinedTerm
86 N31e61c72c5b64f3d95a9e6950e17252e schema:name pubmed_id
87 schema:value 20936408
88 rdf:type schema:PropertyValue
89 N3449c54e7fa04b63b0607390ff228ecd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Middle Aged
91 rdf:type schema:DefinedTerm
92 N37d062c588204399a877d48dde54ab4b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Biological Transport
94 rdf:type schema:DefinedTerm
95 N423af913a6d14de9bfcaa06a28bdace1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Adult
97 rdf:type schema:DefinedTerm
98 N5230cb06dc314a8f9526251a0e283f15 schema:volumeNumber 38
99 rdf:type schema:PublicationVolume
100 N5419368b7ffc42fea6b6e27f40794321 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Male
102 rdf:type schema:DefinedTerm
103 N55d18c3f12dc4657bdcb10ccd406f076 schema:name doi
104 schema:value 10.1007/s00259-010-1632-9
105 rdf:type schema:PropertyValue
106 N57c7e00230b44433b2d592683f675709 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Young Adult
108 rdf:type schema:DefinedTerm
109 N64313903842b47f3b35d1b6fc018c28c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Aged
111 rdf:type schema:DefinedTerm
112 N65e5186429874dc382a3780dac2cf59b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Female
114 rdf:type schema:DefinedTerm
115 N725b0e2d74bc458f94af4e1c5f7f72bd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Tomography, X-Ray Computed
117 rdf:type schema:DefinedTerm
118 N857e294fd31c4bf6b39a71de90f9e183 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Child
120 rdf:type schema:DefinedTerm
121 N863187aee5c6419e8dbdf031563f24fe schema:name Springer Nature - SN SciGraph project
122 rdf:type schema:Organization
123 N8fdb7e64fe5a46faad8447759f2c37e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Lung
125 rdf:type schema:DefinedTerm
126 N94fb33ea58f54ccf8d004b0801568001 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Stress, Physiological
128 rdf:type schema:DefinedTerm
129 N9f3a8c1f0b1847f19c3ec8079abd35d0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Adolescent
131 rdf:type schema:DefinedTerm
132 Nad6f41463dc14abf9772f525fbcd0804 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Ventricular Dysfunction
134 rdf:type schema:DefinedTerm
135 Nb266cd84a0734646acebaf297662c577 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Biomarkers
137 rdf:type schema:DefinedTerm
138 Nba9283baa4a14b708ed6fc903263d204 schema:name dimensions_id
139 schema:value pub.1024278666
140 rdf:type schema:PropertyValue
141 Nbd198af7d6a8433d83802c92e51ff627 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Heart
143 rdf:type schema:DefinedTerm
144 Nc1ccd1c79315404395497e59878e5d29 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Positron-Emission Tomography
146 rdf:type schema:DefinedTerm
147 Nd5a8658186684f43ad3fe7cd3d8e4e7f schema:name nlm_unique_id
148 schema:value 101140988
149 rdf:type schema:PropertyValue
150 Nd838194b4e0b4abb898691c041c91e3a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Rubidium Radioisotopes
152 rdf:type schema:DefinedTerm
153 Nec2a56fdd9064269b7983d585100fb37 rdf:first sg:person.0665331203.34
154 rdf:rest N01c1004c01c0458eaf61a2e6ff0b950e
155 Nf1906ac61157473d94dd5e8a13808e00 schema:issueNumber 3
156 rdf:type schema:PublicationIssue
157 Nf44916dbd19c4ac8b2c1a911c44a27fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
158 schema:name Follow-Up Studies
159 rdf:type schema:DefinedTerm
160 Nf6f268b8731b4ab399b29a84b7188a1b rdf:first sg:person.0665653512.02
161 rdf:rest Nec2a56fdd9064269b7983d585100fb37
162 Nfee44d7898884c74b60723fdc8afb869 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Retrospective Studies
164 rdf:type schema:DefinedTerm
165 Nff1615e44c45487ca7fc2c20f031d1b6 schema:name readcube_id
166 schema:value 73aaa8c0c5454eba9ddd882ccbddd47eeb91f530998e8b90e63f470b8fafab87
167 rdf:type schema:PropertyValue
168 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
169 schema:name Medical and Health Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
172 schema:name Cardiorespiratory Medicine and Haematology
173 rdf:type schema:DefinedTerm
174 sg:journal.1297401 schema:issn 1619-7070
175 1619-7089
176 schema:name European Journal of Nuclear Medicine and Molecular Imaging
177 rdf:type schema:Periodical
178 sg:person.01067051554.58 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
179 schema:familyName Merrill
180 schema:givenName Jennifer
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067051554.58
182 rdf:type schema:Person
183 sg:person.01225020511.95 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
184 schema:familyName Bengel
185 schema:givenName Frank M.
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225020511.95
187 rdf:type schema:Person
188 sg:person.0665331203.34 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
189 schema:familyName Voicu
190 schema:givenName Corina
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665331203.34
192 rdf:type schema:Person
193 sg:person.0665653512.02 schema:affiliation https://www.grid.ac/institutes/grid.241054.6
194 schema:familyName Brown
195 schema:givenName Tracy Lynnette Yarbrough
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0665653512.02
197 rdf:type schema:Person
198 sg:pub.10.1007/s00259-006-0255-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039310233
199 https://doi.org/10.1007/s00259-006-0255-7
200 rdf:type schema:CreativeWork
201 sg:pub.10.1016/j.nuclcard.2004.02.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020824138
202 https://doi.org/10.1016/j.nuclcard.2004.02.006
203 rdf:type schema:CreativeWork
204 sg:pub.10.1067/mnc.2002.118695 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048906215
205 https://doi.org/10.1067/mnc.2002.118695
206 rdf:type schema:CreativeWork
207 sg:pub.10.1186/1471-2385-6-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041529936
208 https://doi.org/10.1186/1471-2385-6-2
209 rdf:type schema:CreativeWork
210 https://app.dimensions.ai/details/publication/pub.1077001486 schema:CreativeWork
211 https://doi.org/10.1016/0002-9149(80)90434-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053593494
212 rdf:type schema:CreativeWork
213 https://doi.org/10.1016/0014-5793(89)80472-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024873075
214 rdf:type schema:CreativeWork
215 https://doi.org/10.1016/j.jacc.2005.02.059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047130943
216 rdf:type schema:CreativeWork
217 https://doi.org/10.1016/j.jacc.2009.02.065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037812548
218 rdf:type schema:CreativeWork
219 https://doi.org/10.1016/s0735-1097(97)00164-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023670257
220 rdf:type schema:CreativeWork
221 https://www.grid.ac/institutes/grid.10423.34 schema:alternateName Hannover Medical School
222 schema:name Department of Radiology and Radiological Sciences, Division of Nuclear Medicine, Johns Hopkins University Medical Institutions, 601 N. Caroline St., JHOC 3223, 21287, Baltimore, MD, USA
223 Klinik fuer Nuklearmedizin, Medizinische Hochschule Hannover, Carl-Neuberg-Str. 1, 30625, Hannover, Germany
224 rdf:type schema:Organization
225 https://www.grid.ac/institutes/grid.21107.35 schema:alternateName Johns Hopkins University
226 schema:name Department of Radiology and Radiological Sciences, Division of Nuclear Medicine, Johns Hopkins University Medical Institutions, 601 N. Caroline St., JHOC 3223, 21287, Baltimore, MD, USA
227 rdf:type schema:Organization
228 https://www.grid.ac/institutes/grid.241054.6 schema:alternateName University of Arkansas for Medical Sciences
229 schema:name Department of Radiology, Division of Nuclear Medicine, University of Arkansas for Medical Sciences, 4301 W. Markham St., Slot 556, 72205, Little Rock, AR, USA
230 rdf:type schema:Organization
 




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


...