Septal penetration in iodine-123 metaiodobenzylguanidine cardiac sympathetic imaging using a medium-energy collimator View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2014-02

AUTHORS

Yusuke Inoue, Yutaka Abe, Yuji Asano, Kei Kikuchi, Takahiro Iizuka, Kazutoshi Nishiyama

ABSTRACT

BACKGROUND: Septal penetration of high-energy photons affects the estimation of the heart-to-mediastinum (H/M) ratio in cardiac (123)I-metaiodobenzylguanidine (MIBG) imaging, and the use of a medium-energy (ME) collimator has been shown to improve quantitative accuracy. We investigated the effect of septal penetration on the estimation of H/M ratios using an ME collimator. METHODS AND RESULTS: Point sources of (99m)Tc and (123)I were imaged using various collimators, which indicated that the effect of high-energy photons with the ME collimator was relatively small but larger than that with the high-energy (HE) collimator. Four hours after (123)I-MIBG injection, 20 patients underwent planar anterior chest imaging by different methods in succession. The ME collimator gave lower H/M ratios (mean 2.52) than the HE collimator (2.57), indicating influence of septal penetration in the ME collimator; however, the difference was limited. Although narrowing the energy window from 20% (2.51) to 15% (2.54) increased the H/M ratios in imaging with the ME collimator, the difference was quite limited. CONCLUSIONS: Septal penetration affects the estimation of the H/M ratios using an ME collimator; however, this influence is small and would not have clinical significance. More... »

PAGES

71-77

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12350-013-9804-1

DOI

http://dx.doi.org/10.1007/s12350-013-9804-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1038995244

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24150537


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": "3-Iodobenzylguanidine", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiac Imaging Techniques", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "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": "Image Processing, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Iodine Radioisotopes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mediastinum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Photons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radionuclide Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiopharmaceuticals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Technetium", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Kitasato University", 
          "id": "https://www.grid.ac/institutes/grid.410786.c", 
          "name": [
            "Department of Diagnostic Radiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, 252-0374, Sagamihara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Inoue", 
        "givenName": "Yusuke", 
        "id": "sg:person.010476276272.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010476276272.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kitasato Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415395.f", 
          "name": [
            "Department of Radiology, Kitasato University Hospital, Sagamihara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abe", 
        "givenName": "Yutaka", 
        "id": "sg:person.01367534146.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367534146.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kitasato University", 
          "id": "https://www.grid.ac/institutes/grid.410786.c", 
          "name": [
            "Department of Diagnostic Radiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, 252-0374, Sagamihara, Kanagawa, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Asano", 
        "givenName": "Yuji", 
        "id": "sg:person.0630611067.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630611067.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kitasato Institute Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415395.f", 
          "name": [
            "Department of Radiology, Kitasato University Hospital, Sagamihara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kikuchi", 
        "givenName": "Kei", 
        "id": "sg:person.014376454131.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014376454131.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kitasato University", 
          "id": "https://www.grid.ac/institutes/grid.410786.c", 
          "name": [
            "Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Iizuka", 
        "givenName": "Takahiro", 
        "id": "sg:person.01074766620.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074766620.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Kitasato University", 
          "id": "https://www.grid.ac/institutes/grid.410786.c", 
          "name": [
            "Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishiyama", 
        "givenName": "Kazutoshi", 
        "id": "sg:person.01165157722.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165157722.63"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1111/j.1552-6569.2010.00532.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006295063"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-010-1491-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012110221", 
          "https://doi.org/10.1007/s00259-010-1491-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-010-1491-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012110221", 
          "https://doi.org/10.1007/s00259-010-1491-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2967/jnumed.112.111955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017729488"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0b013e328337a99b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017989522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/mnm.0b013e328337a99b", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017989522"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s1071-3581(03)00652-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027802567", 
          "https://doi.org/10.1016/s1071-3581(03)00652-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10286-011-0135-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031873463", 
          "https://doi.org/10.1007/s10286-011-0135-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-007-0611-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031956106", 
          "https://doi.org/10.1007/s00259-007-0611-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-200311000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038173580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-200311000-00011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038173580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00843705", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039693790", 
          "https://doi.org/10.1007/bf00843705"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(86)90837-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040287180"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-005-1810-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043096894", 
          "https://doi.org/10.1007/s00259-005-1810-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-005-1810-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043096894", 
          "https://doi.org/10.1007/s00259-005-1810-3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s002590050434", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044762312", 
          "https://doi.org/10.1007/s002590050434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcmg.2009.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045457449"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-008-0976-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048990128", 
          "https://doi.org/10.1007/s00259-008-0976-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00259-008-0976-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048990128", 
          "https://doi.org/10.1007/s00259-008-0976-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079780500", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082570568", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-02", 
    "datePublishedReg": "2014-02-01", 
    "description": "BACKGROUND: Septal penetration of high-energy photons affects the estimation of the heart-to-mediastinum (H/M) ratio in cardiac (123)I-metaiodobenzylguanidine (MIBG) imaging, and the use of a medium-energy (ME) collimator has been shown to improve quantitative accuracy. We investigated the effect of septal penetration on the estimation of H/M ratios using an ME collimator.\nMETHODS AND RESULTS: Point sources of (99m)Tc and (123)I were imaged using various collimators, which indicated that the effect of high-energy photons with the ME collimator was relatively small but larger than that with the high-energy (HE) collimator. Four hours after (123)I-MIBG injection, 20 patients underwent planar anterior chest imaging by different methods in succession. The ME collimator gave lower H/M ratios (mean 2.52) than the HE collimator (2.57), indicating influence of septal penetration in the ME collimator; however, the difference was limited. Although narrowing the energy window from 20% (2.51) to 15% (2.54) increased the H/M ratios in imaging with the ME collimator, the difference was quite limited.\nCONCLUSIONS: Septal penetration affects the estimation of the H/M ratios using an ME collimator; however, this influence is small and would not have clinical significance.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s12350-013-9804-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1106202", 
        "issn": [
          "1071-3581", 
          "1532-6551"
        ], 
        "name": "Journal of Nuclear Cardiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "21"
      }
    ], 
    "name": "Septal penetration in iodine-123 metaiodobenzylguanidine cardiac sympathetic imaging using a medium-energy collimator", 
    "pagination": "71-77", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b9c0986e863ceda0819d6d80defa93bc60aedd3b6010e684b619618819a93734"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24150537"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9423534"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s12350-013-9804-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1038995244"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s12350-013-9804-1", 
      "https://app.dimensions.ai/details/publication/pub.1038995244"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T22:37", 
    "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_8690_00000537.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs12350-013-9804-1"
  }
]
 

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/s12350-013-9804-1'

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/s12350-013-9804-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12350-013-9804-1'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12350-013-9804-1'


 

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

222 TRIPLES      21 PREDICATES      60 URIs      36 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s12350-013-9804-1 schema:about N19bab977f2084802a0c8e340c82560ac
2 N23cf2bf4624d403d91b7cbfd2e3e906f
3 N32dcf140bac44b61b05a51ec99cc1b90
4 N3822ffc6004d4f4a8a5f5893e74f9d9d
5 N3f7cb43676ce4168b6e49f73a19ba19e
6 N5d3b01f3448d47f5858cec067e8364ce
7 N76c8305bddd741eeb749eed98f86f2f6
8 N7e0f5d3816444f29bd1a219b78a29dcc
9 N8220cdf745634f7097862a67676ee722
10 Nb55100913a4c4b19964d49b1bb29db56
11 Ncb61ff7f276d413da15db2980a15cc9f
12 Nd00862320b9542a0a6ad0aa35dcdf773
13 Ndd0cd4c305ec468fa4b4fd46028c449f
14 Ne1f151fbdd954662b3fb1d7ad053c0f6
15 Nf755920af51c40318947a10bf361dbe8
16 anzsrc-for:11
17 anzsrc-for:1102
18 schema:author N3ec7f27010ff48baa9a6bc39adcef592
19 schema:citation sg:pub.10.1007/bf00843705
20 sg:pub.10.1007/s00259-005-1810-3
21 sg:pub.10.1007/s00259-007-0611-2
22 sg:pub.10.1007/s00259-008-0976-x
23 sg:pub.10.1007/s00259-010-1491-4
24 sg:pub.10.1007/s002590050434
25 sg:pub.10.1007/s10286-011-0135-5
26 sg:pub.10.1016/s1071-3581(03)00652-4
27 https://app.dimensions.ai/details/publication/pub.1079780500
28 https://app.dimensions.ai/details/publication/pub.1082570568
29 https://doi.org/10.1016/j.jcmg.2009.07.014
30 https://doi.org/10.1016/s0140-6736(86)90837-8
31 https://doi.org/10.1097/00006231-200311000-00011
32 https://doi.org/10.1097/mnm.0b013e328337a99b
33 https://doi.org/10.1111/j.1552-6569.2010.00532.x
34 https://doi.org/10.2967/jnumed.112.111955
35 schema:datePublished 2014-02
36 schema:datePublishedReg 2014-02-01
37 schema:description BACKGROUND: Septal penetration of high-energy photons affects the estimation of the heart-to-mediastinum (H/M) ratio in cardiac (123)I-metaiodobenzylguanidine (MIBG) imaging, and the use of a medium-energy (ME) collimator has been shown to improve quantitative accuracy. We investigated the effect of septal penetration on the estimation of H/M ratios using an ME collimator. METHODS AND RESULTS: Point sources of (99m)Tc and (123)I were imaged using various collimators, which indicated that the effect of high-energy photons with the ME collimator was relatively small but larger than that with the high-energy (HE) collimator. Four hours after (123)I-MIBG injection, 20 patients underwent planar anterior chest imaging by different methods in succession. The ME collimator gave lower H/M ratios (mean 2.52) than the HE collimator (2.57), indicating influence of septal penetration in the ME collimator; however, the difference was limited. Although narrowing the energy window from 20% (2.51) to 15% (2.54) increased the H/M ratios in imaging with the ME collimator, the difference was quite limited. CONCLUSIONS: Septal penetration affects the estimation of the H/M ratios using an ME collimator; however, this influence is small and would not have clinical significance.
38 schema:genre research_article
39 schema:inLanguage en
40 schema:isAccessibleForFree false
41 schema:isPartOf N62b1d232493b4fea8c3666501c68e5d3
42 Na7fdfdf0d6cd476f85f4c58ce09fdb2e
43 sg:journal.1106202
44 schema:name Septal penetration in iodine-123 metaiodobenzylguanidine cardiac sympathetic imaging using a medium-energy collimator
45 schema:pagination 71-77
46 schema:productId N01216a523cb9412ca3495a1827491ef7
47 N068c62907f944ce8833987323aa6cc63
48 N738934d6b08849b4a97bcc60330b8732
49 N94f2da104b664e2998771518a1a91a82
50 Nd8baaad98f3b4af5be2e446d84d8d72f
51 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038995244
52 https://doi.org/10.1007/s12350-013-9804-1
53 schema:sdDatePublished 2019-04-10T22:37
54 schema:sdLicense https://scigraph.springernature.com/explorer/license/
55 schema:sdPublisher N59ff005cc7754cbf8977b8db37c46772
56 schema:url http://link.springer.com/10.1007%2Fs12350-013-9804-1
57 sgo:license sg:explorer/license/
58 sgo:sdDataset articles
59 rdf:type schema:ScholarlyArticle
60 N01216a523cb9412ca3495a1827491ef7 schema:name nlm_unique_id
61 schema:value 9423534
62 rdf:type schema:PropertyValue
63 N0524ed697ee34318943873aadea93ffc rdf:first sg:person.01165157722.63
64 rdf:rest rdf:nil
65 N068c62907f944ce8833987323aa6cc63 schema:name readcube_id
66 schema:value b9c0986e863ceda0819d6d80defa93bc60aedd3b6010e684b619618819a93734
67 rdf:type schema:PropertyValue
68 N0a74e68bd3fc486e80cbc699e83a1515 rdf:first sg:person.014376454131.11
69 rdf:rest N589bdb6991c849a4a5c7eb6629885539
70 N19bab977f2084802a0c8e340c82560ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Radiopharmaceuticals
72 rdf:type schema:DefinedTerm
73 N23cf2bf4624d403d91b7cbfd2e3e906f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
74 schema:name Image Processing, Computer-Assisted
75 rdf:type schema:DefinedTerm
76 N32dcf140bac44b61b05a51ec99cc1b90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Radionuclide Imaging
78 rdf:type schema:DefinedTerm
79 N3822ffc6004d4f4a8a5f5893e74f9d9d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
80 schema:name Aged
81 rdf:type schema:DefinedTerm
82 N3ec7f27010ff48baa9a6bc39adcef592 rdf:first sg:person.010476276272.43
83 rdf:rest N501a4b5c22874d2797b035bc207d673d
84 N3f7cb43676ce4168b6e49f73a19ba19e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
85 schema:name Middle Aged
86 rdf:type schema:DefinedTerm
87 N501a4b5c22874d2797b035bc207d673d rdf:first sg:person.01367534146.76
88 rdf:rest N69a232c23e254d0fb19c9127ebf38d7a
89 N589bdb6991c849a4a5c7eb6629885539 rdf:first sg:person.01074766620.35
90 rdf:rest N0524ed697ee34318943873aadea93ffc
91 N59ff005cc7754cbf8977b8db37c46772 schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 N5d3b01f3448d47f5858cec067e8364ce schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Mediastinum
95 rdf:type schema:DefinedTerm
96 N62b1d232493b4fea8c3666501c68e5d3 schema:issueNumber 1
97 rdf:type schema:PublicationIssue
98 N69a232c23e254d0fb19c9127ebf38d7a rdf:first sg:person.0630611067.11
99 rdf:rest N0a74e68bd3fc486e80cbc699e83a1515
100 N738934d6b08849b4a97bcc60330b8732 schema:name pubmed_id
101 schema:value 24150537
102 rdf:type schema:PropertyValue
103 N76c8305bddd741eeb749eed98f86f2f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name 3-Iodobenzylguanidine
105 rdf:type schema:DefinedTerm
106 N7e0f5d3816444f29bd1a219b78a29dcc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
107 schema:name Humans
108 rdf:type schema:DefinedTerm
109 N8220cdf745634f7097862a67676ee722 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
110 schema:name Iodine Radioisotopes
111 rdf:type schema:DefinedTerm
112 N94f2da104b664e2998771518a1a91a82 schema:name doi
113 schema:value 10.1007/s12350-013-9804-1
114 rdf:type schema:PropertyValue
115 Na7fdfdf0d6cd476f85f4c58ce09fdb2e schema:volumeNumber 21
116 rdf:type schema:PublicationVolume
117 Nb55100913a4c4b19964d49b1bb29db56 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Cardiac Imaging Techniques
119 rdf:type schema:DefinedTerm
120 Ncb61ff7f276d413da15db2980a15cc9f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
121 schema:name Heart
122 rdf:type schema:DefinedTerm
123 Nd00862320b9542a0a6ad0aa35dcdf773 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Technetium
125 rdf:type schema:DefinedTerm
126 Nd8baaad98f3b4af5be2e446d84d8d72f schema:name dimensions_id
127 schema:value pub.1038995244
128 rdf:type schema:PropertyValue
129 Ndd0cd4c305ec468fa4b4fd46028c449f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Photons
131 rdf:type schema:DefinedTerm
132 Ne1f151fbdd954662b3fb1d7ad053c0f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Male
134 rdf:type schema:DefinedTerm
135 Nf755920af51c40318947a10bf361dbe8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Female
137 rdf:type schema:DefinedTerm
138 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
139 schema:name Medical and Health Sciences
140 rdf:type schema:DefinedTerm
141 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
142 schema:name Cardiorespiratory Medicine and Haematology
143 rdf:type schema:DefinedTerm
144 sg:journal.1106202 schema:issn 1071-3581
145 1532-6551
146 schema:name Journal of Nuclear Cardiology
147 rdf:type schema:Periodical
148 sg:person.010476276272.43 schema:affiliation https://www.grid.ac/institutes/grid.410786.c
149 schema:familyName Inoue
150 schema:givenName Yusuke
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010476276272.43
152 rdf:type schema:Person
153 sg:person.01074766620.35 schema:affiliation https://www.grid.ac/institutes/grid.410786.c
154 schema:familyName Iizuka
155 schema:givenName Takahiro
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074766620.35
157 rdf:type schema:Person
158 sg:person.01165157722.63 schema:affiliation https://www.grid.ac/institutes/grid.410786.c
159 schema:familyName Nishiyama
160 schema:givenName Kazutoshi
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165157722.63
162 rdf:type schema:Person
163 sg:person.01367534146.76 schema:affiliation https://www.grid.ac/institutes/grid.415395.f
164 schema:familyName Abe
165 schema:givenName Yutaka
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367534146.76
167 rdf:type schema:Person
168 sg:person.014376454131.11 schema:affiliation https://www.grid.ac/institutes/grid.415395.f
169 schema:familyName Kikuchi
170 schema:givenName Kei
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014376454131.11
172 rdf:type schema:Person
173 sg:person.0630611067.11 schema:affiliation https://www.grid.ac/institutes/grid.410786.c
174 schema:familyName Asano
175 schema:givenName Yuji
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0630611067.11
177 rdf:type schema:Person
178 sg:pub.10.1007/bf00843705 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039693790
179 https://doi.org/10.1007/bf00843705
180 rdf:type schema:CreativeWork
181 sg:pub.10.1007/s00259-005-1810-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043096894
182 https://doi.org/10.1007/s00259-005-1810-3
183 rdf:type schema:CreativeWork
184 sg:pub.10.1007/s00259-007-0611-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031956106
185 https://doi.org/10.1007/s00259-007-0611-2
186 rdf:type schema:CreativeWork
187 sg:pub.10.1007/s00259-008-0976-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048990128
188 https://doi.org/10.1007/s00259-008-0976-x
189 rdf:type schema:CreativeWork
190 sg:pub.10.1007/s00259-010-1491-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012110221
191 https://doi.org/10.1007/s00259-010-1491-4
192 rdf:type schema:CreativeWork
193 sg:pub.10.1007/s002590050434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044762312
194 https://doi.org/10.1007/s002590050434
195 rdf:type schema:CreativeWork
196 sg:pub.10.1007/s10286-011-0135-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031873463
197 https://doi.org/10.1007/s10286-011-0135-5
198 rdf:type schema:CreativeWork
199 sg:pub.10.1016/s1071-3581(03)00652-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027802567
200 https://doi.org/10.1016/s1071-3581(03)00652-4
201 rdf:type schema:CreativeWork
202 https://app.dimensions.ai/details/publication/pub.1079780500 schema:CreativeWork
203 https://app.dimensions.ai/details/publication/pub.1082570568 schema:CreativeWork
204 https://doi.org/10.1016/j.jcmg.2009.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045457449
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1097/00006231-200311000-00011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038173580
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1097/mnm.0b013e328337a99b schema:sameAs https://app.dimensions.ai/details/publication/pub.1017989522
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1111/j.1552-6569.2010.00532.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1006295063
213 rdf:type schema:CreativeWork
214 https://doi.org/10.2967/jnumed.112.111955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017729488
215 rdf:type schema:CreativeWork
216 https://www.grid.ac/institutes/grid.410786.c schema:alternateName Kitasato University
217 schema:name Department of Diagnostic Radiology, Kitasato University School of Medicine, 1-15-1 Kitasato, Minami-ku, 252-0374, Sagamihara, Kanagawa, Japan
218 Department of Neurology, Kitasato University School of Medicine, Sagamihara, Japan
219 rdf:type schema:Organization
220 https://www.grid.ac/institutes/grid.415395.f schema:alternateName Kitasato Institute Hospital
221 schema:name Department of Radiology, Kitasato University Hospital, Sagamihara, Japan
222 rdf:type schema:Organization
 




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


...