Dynamic123I-MIBG SPECT reflects sympathetic nervous integrity and predicts clinical outcome in patients with chronic heart failure View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-04

AUTHORS

Takanori Arimoto, Yasuchika Takeishi, Akio Fukui, Hidetada Tachibana, Naoki Nozaki, Osamu Hirono, Hiroyuki Yamaguchi, Makoto Itoh, Takuya Miyamoto, Hiroki Takahashi, Akio Okada, Kazuei Takahashi, Isao Kubota

ABSTRACT

123I-metaiodobenzylguanidine (123I-MIBG) is useful for assessment of the severity and prognosis of patients with chronic heart failure (CHF). To examine 123I-MIBG kinetics in the early phase soon after tracer injection, we performed dynamic single photon emission computed tomography (SPECT) in 76 patients with CHF and 17 control subjects. The consecutive 15 images of 2 min-dynamic SPECT were acquired for 30 min after injection. From 0 to 4 min, a significant amount of radioactivity existed in the blood pool, thus we calculated washout rate of 123I-MIBG from 4 to 30 min (%WR-E). Patients were followed up with an end-point of cardiac death or re-hospitalization for 16 months (6-30 months). As the NYHA functional class advanced, %WR-E increased (control, NYHA class I, II, and III: 9 +/- 4%, 10 +/- 5%, 12 +/- 5%, and 17 +/- 5%*, respectively, *p < 0.01 vs. all other groups). Significant correlation was found between %WR-E and conventional WR from 30 min to 240 min (r = 0.606, p < 0.0001). %WR-E was positively correlated with left ventricular end-diastolic dimension (r = 0.372, p < 0.01) and was inversely correlated with left ventricular fractional shortening (r = -0.316, p < 0.02). The normal upper limit of %WR-E was defined as mean + 2SD value of 17 control subjects (17.1%). Patients with abnormally rapid %WR-E levels had a higher cardiac event rate than those with normal %WR-E levels (57% vs. 12%, p < 0.0001). These data suggest that washout rate of 123I-MIBG in the early phase from 4 min to 30 min (%WR-E) reflects cardiac sympathetic nervous integrity and is useful to evaluate the severity and prognosis of patients with CHF. The present results indicate a potential role of dynamic SPECT in shortening the 123I-MIBG imaging protocol. More... »

PAGES

145-150

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf02985105

DOI

http://dx.doi.org/10.1007/bf02985105

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1026673937

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/15195762


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": "Autonomic Nervous System Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cardiotonic Agents", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chronic Disease", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease-Free Survival", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Heart Failure", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Image Interpretation, Computer-Assisted", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Japan", 
        "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": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Radiopharmaceuticals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Severity of Illness Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sympathetic Nervous System", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tomography, Emission-Computed, Single-Photon", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vasodilator Agents", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arimoto", 
        "givenName": "Takanori", 
        "id": "sg:person.01132520056.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132520056.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takeishi", 
        "givenName": "Yasuchika", 
        "id": "sg:person.0750156256.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750156256.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fukui", 
        "givenName": "Akio", 
        "id": "sg:person.01070245756.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070245756.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tachibana", 
        "givenName": "Hidetada", 
        "id": "sg:person.01215705154.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215705154.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nozaki", 
        "givenName": "Naoki", 
        "id": "sg:person.0705704156.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705704156.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hirono", 
        "givenName": "Osamu", 
        "id": "sg:person.0724110703.64", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724110703.64"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yamaguchi", 
        "givenName": "Hiroyuki", 
        "id": "sg:person.0735616444.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735616444.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Itoh", 
        "givenName": "Makoto", 
        "id": "sg:person.0654642654.04", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654642654.04"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Miyamoto", 
        "givenName": "Takuya", 
        "id": "sg:person.0607535151.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607535151.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takahashi", 
        "givenName": "Hiroki", 
        "id": "sg:person.07373160604.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07373160604.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "Department of Radiology, Yamagata University School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Okada", 
        "givenName": "Akio", 
        "id": "sg:person.01037204454.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037204454.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "Department of Radiology, Yamagata University School of Medicine, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Takahashi", 
        "givenName": "Kazuei", 
        "id": "sg:person.016264527364.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016264527364.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yamagata University", 
          "id": "https://www.grid.ac/institutes/grid.268394.2", 
          "name": [
            "First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kubota", 
        "givenName": "Isao", 
        "id": "sg:person.01360623573.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360623573.29"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/clc.4960270406", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002088591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0735-1097(88)92608-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006691672"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0735-1097(96)00165-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010551650"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0735-1097(95)00374-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016263995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-199805000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018044609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/00006231-199805000-00007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018044609"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.89.6.2843", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023033445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.res.61.6.797", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026475558"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1067/mhj.2001.112783", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027729505"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0002-9149(88)80081-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1033717214"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1253/jcj.65.155", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037072799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.78.5.1192", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043389580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/s1071-3581(98)90112-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046284249", 
          "https://doi.org/10.1016/s1071-3581(98)90112-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm198409273111303", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048410078"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01267684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049220515", 
          "https://doi.org/10.1007/bf01267684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf01267684", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049220515", 
          "https://doi.org/10.1007/bf01267684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1161/01.cir.93.9.1667", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063337112"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074508909", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074639420", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076961028", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079879690", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082362182", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083118143", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2004-04", 
    "datePublishedReg": "2004-04-01", 
    "description": "123I-metaiodobenzylguanidine (123I-MIBG) is useful for assessment of the severity and prognosis of patients with chronic heart failure (CHF). To examine 123I-MIBG kinetics in the early phase soon after tracer injection, we performed dynamic single photon emission computed tomography (SPECT) in 76 patients with CHF and 17 control subjects. The consecutive 15 images of 2 min-dynamic SPECT were acquired for 30 min after injection. From 0 to 4 min, a significant amount of radioactivity existed in the blood pool, thus we calculated washout rate of 123I-MIBG from 4 to 30 min (%WR-E). Patients were followed up with an end-point of cardiac death or re-hospitalization for 16 months (6-30 months). As the NYHA functional class advanced, %WR-E increased (control, NYHA class I, II, and III: 9 +/- 4%, 10 +/- 5%, 12 +/- 5%, and 17 +/- 5%*, respectively, *p < 0.01 vs. all other groups). Significant correlation was found between %WR-E and conventional WR from 30 min to 240 min (r = 0.606, p < 0.0001). %WR-E was positively correlated with left ventricular end-diastolic dimension (r = 0.372, p < 0.01) and was inversely correlated with left ventricular fractional shortening (r = -0.316, p < 0.02). The normal upper limit of %WR-E was defined as mean + 2SD value of 17 control subjects (17.1%). Patients with abnormally rapid %WR-E levels had a higher cardiac event rate than those with normal %WR-E levels (57% vs. 12%, p < 0.0001). These data suggest that washout rate of 123I-MIBG in the early phase from 4 min to 30 min (%WR-E) reflects cardiac sympathetic nervous integrity and is useful to evaluate the severity and prognosis of patients with CHF. The present results indicate a potential role of dynamic SPECT in shortening the 123I-MIBG imaging protocol.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/bf02985105", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1099601", 
        "issn": [
          "0914-7187", 
          "1864-6433"
        ], 
        "name": "Annals of Nuclear Medicine", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "name": "Dynamic123I-MIBG SPECT reflects sympathetic nervous integrity and predicts clinical outcome in patients with chronic heart failure", 
    "pagination": "145-150", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7f1249d17bc07caebbc79e48c2d0be032866dea8360762279c3dbec7fcfcf5cc"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "15195762"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8913398"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/bf02985105"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1026673937"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/bf02985105", 
      "https://app.dimensions.ai/details/publication/pub.1026673937"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T14:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000373_0000000373/records_13069_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2FBF02985105"
  }
]
 

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/bf02985105'

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/bf02985105'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/bf02985105'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/bf02985105'


 

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

297 TRIPLES      21 PREDICATES      71 URIs      42 LITERALS      30 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/bf02985105 schema:about N085a454c044e4720aa21a00c7190004c
2 N19f7aa5f5dbb43c3ae2c4f0d49d66f78
3 N1e0a4775e2db4d6ab4c28549fc6b8077
4 N256d24063ce34f069145db560a954f71
5 N3d1d073fe45e43fd846c3cd6e4786281
6 N407496a6a3be466d80db9a5c1962e95d
7 N4faf9692929146eda793295cd790f621
8 N5c0530b7171f417895509be3b43f5ee6
9 N62fdb62895a74b5eade9e6e57f9a49fa
10 N6d4f3f39bee941008857a111d2a5e53e
11 N715bc5378c464a068e56725da3bc94df
12 N7d2471ee6a164cd4a1aa67179d12c953
13 N8a63bbceec364413bd10e94796388678
14 N9cb130ba649c4bb8899d6d983421392b
15 N9f40c93e8183448ba4e2cff96a0cdfd0
16 Na7d0b0735a3d4abdabbdca1639978355
17 Nae003b759d064c7182ff4085c3882dad
18 Nb67f4d3fcfb4452ba13c7c50a406bb7e
19 Nc933601de505459aa0fbb7dc8ba4b5fe
20 Nd5fbc16ac56846dda7396628168a2ae3
21 Nd856deddb7714d25ae3e9e86a795d452
22 anzsrc-for:11
23 anzsrc-for:1102
24 schema:author N80b3e0f039e645649593b52d5f5f7227
25 schema:citation sg:pub.10.1007/bf01267684
26 sg:pub.10.1016/s1071-3581(98)90112-x
27 https://app.dimensions.ai/details/publication/pub.1074508909
28 https://app.dimensions.ai/details/publication/pub.1074639420
29 https://app.dimensions.ai/details/publication/pub.1076961028
30 https://app.dimensions.ai/details/publication/pub.1079879690
31 https://app.dimensions.ai/details/publication/pub.1082362182
32 https://app.dimensions.ai/details/publication/pub.1083118143
33 https://doi.org/10.1002/clc.4960270406
34 https://doi.org/10.1016/0735-1097(88)92608-3
35 https://doi.org/10.1016/0735-1097(95)00374-6
36 https://doi.org/10.1016/0735-1097(96)00165-9
37 https://doi.org/10.1016/s0002-9149(88)80081-x
38 https://doi.org/10.1056/nejm198409273111303
39 https://doi.org/10.1067/mhj.2001.112783
40 https://doi.org/10.1097/00006231-199805000-00007
41 https://doi.org/10.1161/01.cir.78.5.1192
42 https://doi.org/10.1161/01.cir.89.6.2843
43 https://doi.org/10.1161/01.cir.93.9.1667
44 https://doi.org/10.1161/01.res.61.6.797
45 https://doi.org/10.1253/jcj.65.155
46 schema:datePublished 2004-04
47 schema:datePublishedReg 2004-04-01
48 schema:description 123I-metaiodobenzylguanidine (123I-MIBG) is useful for assessment of the severity and prognosis of patients with chronic heart failure (CHF). To examine 123I-MIBG kinetics in the early phase soon after tracer injection, we performed dynamic single photon emission computed tomography (SPECT) in 76 patients with CHF and 17 control subjects. The consecutive 15 images of 2 min-dynamic SPECT were acquired for 30 min after injection. From 0 to 4 min, a significant amount of radioactivity existed in the blood pool, thus we calculated washout rate of 123I-MIBG from 4 to 30 min (%WR-E). Patients were followed up with an end-point of cardiac death or re-hospitalization for 16 months (6-30 months). As the NYHA functional class advanced, %WR-E increased (control, NYHA class I, II, and III: 9 +/- 4%, 10 +/- 5%, 12 +/- 5%, and 17 +/- 5%*, respectively, *p < 0.01 vs. all other groups). Significant correlation was found between %WR-E and conventional WR from 30 min to 240 min (r = 0.606, p < 0.0001). %WR-E was positively correlated with left ventricular end-diastolic dimension (r = 0.372, p < 0.01) and was inversely correlated with left ventricular fractional shortening (r = -0.316, p < 0.02). The normal upper limit of %WR-E was defined as mean + 2SD value of 17 control subjects (17.1%). Patients with abnormally rapid %WR-E levels had a higher cardiac event rate than those with normal %WR-E levels (57% vs. 12%, p < 0.0001). These data suggest that washout rate of 123I-MIBG in the early phase from 4 min to 30 min (%WR-E) reflects cardiac sympathetic nervous integrity and is useful to evaluate the severity and prognosis of patients with CHF. The present results indicate a potential role of dynamic SPECT in shortening the 123I-MIBG imaging protocol.
49 schema:genre research_article
50 schema:inLanguage en
51 schema:isAccessibleForFree false
52 schema:isPartOf N2c5ee20a23084c0c93718ab60e6d1fd0
53 N6f811add25574bd09cb15cf03bd3aea8
54 sg:journal.1099601
55 schema:name Dynamic123I-MIBG SPECT reflects sympathetic nervous integrity and predicts clinical outcome in patients with chronic heart failure
56 schema:pagination 145-150
57 schema:productId N199295468fef4ac0b43ee296c724112a
58 N19c56bec0931403bb93f67aebcbc159c
59 N89d17323aa74456f994bc18903895b5c
60 N9c6acf59797040279e662503e2bf95b6
61 Nee7d50097b7b414b8540a6581b444f26
62 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026673937
63 https://doi.org/10.1007/bf02985105
64 schema:sdDatePublished 2019-04-11T14:26
65 schema:sdLicense https://scigraph.springernature.com/explorer/license/
66 schema:sdPublisher N3bbe6a3a81074585bddad3d8a6cd01d0
67 schema:url http://link.springer.com/10.1007%2FBF02985105
68 sgo:license sg:explorer/license/
69 sgo:sdDataset articles
70 rdf:type schema:ScholarlyArticle
71 N085a454c044e4720aa21a00c7190004c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Male
73 rdf:type schema:DefinedTerm
74 N0a7b7209a0ff475aa19761059f8eb5ae rdf:first sg:person.01215705154.19
75 rdf:rest N970a0366b0284a2cbd0c91e829d4604a
76 N199295468fef4ac0b43ee296c724112a schema:name pubmed_id
77 schema:value 15195762
78 rdf:type schema:PropertyValue
79 N19c56bec0931403bb93f67aebcbc159c schema:name dimensions_id
80 schema:value pub.1026673937
81 rdf:type schema:PropertyValue
82 N19f7aa5f5dbb43c3ae2c4f0d49d66f78 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Disease-Free Survival
84 rdf:type schema:DefinedTerm
85 N1e0a4775e2db4d6ab4c28549fc6b8077 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Prognosis
87 rdf:type schema:DefinedTerm
88 N256d24063ce34f069145db560a954f71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Risk Assessment
90 rdf:type schema:DefinedTerm
91 N2c5ee20a23084c0c93718ab60e6d1fd0 schema:issueNumber 2
92 rdf:type schema:PublicationIssue
93 N3bbe6a3a81074585bddad3d8a6cd01d0 schema:name Springer Nature - SN SciGraph project
94 rdf:type schema:Organization
95 N3d1d073fe45e43fd846c3cd6e4786281 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Tomography, Emission-Computed, Single-Photon
97 rdf:type schema:DefinedTerm
98 N407496a6a3be466d80db9a5c1962e95d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Chronic Disease
100 rdf:type schema:DefinedTerm
101 N4faf9692929146eda793295cd790f621 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Radiopharmaceuticals
103 rdf:type schema:DefinedTerm
104 N5682914019f54b1a815515afaca730a1 rdf:first sg:person.0735616444.42
105 rdf:rest Ne0dcc8540f0d43f39ed4cc30bc3c37f2
106 N597330113e6243d79bacb32a377cedec rdf:first sg:person.07373160604.59
107 rdf:rest N66d6e8b1146f4638afd37f413aa017f2
108 N5c0530b7171f417895509be3b43f5ee6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Image Interpretation, Computer-Assisted
110 rdf:type schema:DefinedTerm
111 N62fdb62895a74b5eade9e6e57f9a49fa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Vasodilator Agents
113 rdf:type schema:DefinedTerm
114 N66d6e8b1146f4638afd37f413aa017f2 rdf:first sg:person.01037204454.08
115 rdf:rest Ncdf442a764934a77be9198716d8b1d2f
116 N6d4f3f39bee941008857a111d2a5e53e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
117 schema:name Cardiotonic Agents
118 rdf:type schema:DefinedTerm
119 N6f811add25574bd09cb15cf03bd3aea8 schema:volumeNumber 18
120 rdf:type schema:PublicationVolume
121 N715bc5378c464a068e56725da3bc94df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
122 schema:name Japan
123 rdf:type schema:DefinedTerm
124 N7d2471ee6a164cd4a1aa67179d12c953 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Heart Failure
126 rdf:type schema:DefinedTerm
127 N80b3e0f039e645649593b52d5f5f7227 rdf:first sg:person.01132520056.91
128 rdf:rest Nea950deb954f4d3d94cb15fd23ec7b69
129 N898cc4833c9a459b8631af19ecfb0196 rdf:first sg:person.0724110703.64
130 rdf:rest N5682914019f54b1a815515afaca730a1
131 N89d17323aa74456f994bc18903895b5c schema:name doi
132 schema:value 10.1007/bf02985105
133 rdf:type schema:PropertyValue
134 N8a63bbceec364413bd10e94796388678 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Autonomic Nervous System Diseases
136 rdf:type schema:DefinedTerm
137 N8caa477d7b184aa2ba7b9cef8c11281c rdf:first sg:person.01070245756.06
138 rdf:rest N0a7b7209a0ff475aa19761059f8eb5ae
139 N970a0366b0284a2cbd0c91e829d4604a rdf:first sg:person.0705704156.04
140 rdf:rest N898cc4833c9a459b8631af19ecfb0196
141 N97c0850ee42f45629682daffbc9ec785 rdf:first sg:person.01360623573.29
142 rdf:rest rdf:nil
143 N9c6acf59797040279e662503e2bf95b6 schema:name readcube_id
144 schema:value 7f1249d17bc07caebbc79e48c2d0be032866dea8360762279c3dbec7fcfcf5cc
145 rdf:type schema:PropertyValue
146 N9cb130ba649c4bb8899d6d983421392b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Middle Aged
148 rdf:type schema:DefinedTerm
149 N9f40c93e8183448ba4e2cff96a0cdfd0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
150 schema:name Severity of Illness Index
151 rdf:type schema:DefinedTerm
152 Na7d0b0735a3d4abdabbdca1639978355 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Female
154 rdf:type schema:DefinedTerm
155 Nae003b759d064c7182ff4085c3882dad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Humans
157 rdf:type schema:DefinedTerm
158 Nb67f4d3fcfb4452ba13c7c50a406bb7e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Treatment Outcome
160 rdf:type schema:DefinedTerm
161 Nb829242e344d42afac27a559174121df rdf:first sg:person.0607535151.22
162 rdf:rest N597330113e6243d79bacb32a377cedec
163 Nc933601de505459aa0fbb7dc8ba4b5fe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name 3-Iodobenzylguanidine
165 rdf:type schema:DefinedTerm
166 Ncdf442a764934a77be9198716d8b1d2f rdf:first sg:person.016264527364.47
167 rdf:rest N97c0850ee42f45629682daffbc9ec785
168 Nd5fbc16ac56846dda7396628168a2ae3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
169 schema:name Sympathetic Nervous System
170 rdf:type schema:DefinedTerm
171 Nd856deddb7714d25ae3e9e86a795d452 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Risk Factors
173 rdf:type schema:DefinedTerm
174 Ne0dcc8540f0d43f39ed4cc30bc3c37f2 rdf:first sg:person.0654642654.04
175 rdf:rest Nb829242e344d42afac27a559174121df
176 Nea950deb954f4d3d94cb15fd23ec7b69 rdf:first sg:person.0750156256.90
177 rdf:rest N8caa477d7b184aa2ba7b9cef8c11281c
178 Nee7d50097b7b414b8540a6581b444f26 schema:name nlm_unique_id
179 schema:value 8913398
180 rdf:type schema:PropertyValue
181 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
182 schema:name Medical and Health Sciences
183 rdf:type schema:DefinedTerm
184 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
185 schema:name Cardiorespiratory Medicine and Haematology
186 rdf:type schema:DefinedTerm
187 sg:journal.1099601 schema:issn 0914-7187
188 1864-6433
189 schema:name Annals of Nuclear Medicine
190 rdf:type schema:Periodical
191 sg:person.01037204454.08 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
192 schema:familyName Okada
193 schema:givenName Akio
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037204454.08
195 rdf:type schema:Person
196 sg:person.01070245756.06 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
197 schema:familyName Fukui
198 schema:givenName Akio
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01070245756.06
200 rdf:type schema:Person
201 sg:person.01132520056.91 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
202 schema:familyName Arimoto
203 schema:givenName Takanori
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132520056.91
205 rdf:type schema:Person
206 sg:person.01215705154.19 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
207 schema:familyName Tachibana
208 schema:givenName Hidetada
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01215705154.19
210 rdf:type schema:Person
211 sg:person.01360623573.29 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
212 schema:familyName Kubota
213 schema:givenName Isao
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360623573.29
215 rdf:type schema:Person
216 sg:person.016264527364.47 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
217 schema:familyName Takahashi
218 schema:givenName Kazuei
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016264527364.47
220 rdf:type schema:Person
221 sg:person.0607535151.22 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
222 schema:familyName Miyamoto
223 schema:givenName Takuya
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0607535151.22
225 rdf:type schema:Person
226 sg:person.0654642654.04 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
227 schema:familyName Itoh
228 schema:givenName Makoto
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0654642654.04
230 rdf:type schema:Person
231 sg:person.0705704156.04 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
232 schema:familyName Nozaki
233 schema:givenName Naoki
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0705704156.04
235 rdf:type schema:Person
236 sg:person.0724110703.64 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
237 schema:familyName Hirono
238 schema:givenName Osamu
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0724110703.64
240 rdf:type schema:Person
241 sg:person.0735616444.42 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
242 schema:familyName Yamaguchi
243 schema:givenName Hiroyuki
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0735616444.42
245 rdf:type schema:Person
246 sg:person.07373160604.59 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
247 schema:familyName Takahashi
248 schema:givenName Hiroki
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07373160604.59
250 rdf:type schema:Person
251 sg:person.0750156256.90 schema:affiliation https://www.grid.ac/institutes/grid.268394.2
252 schema:familyName Takeishi
253 schema:givenName Yasuchika
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750156256.90
255 rdf:type schema:Person
256 sg:pub.10.1007/bf01267684 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049220515
257 https://doi.org/10.1007/bf01267684
258 rdf:type schema:CreativeWork
259 sg:pub.10.1016/s1071-3581(98)90112-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1046284249
260 https://doi.org/10.1016/s1071-3581(98)90112-x
261 rdf:type schema:CreativeWork
262 https://app.dimensions.ai/details/publication/pub.1074508909 schema:CreativeWork
263 https://app.dimensions.ai/details/publication/pub.1074639420 schema:CreativeWork
264 https://app.dimensions.ai/details/publication/pub.1076961028 schema:CreativeWork
265 https://app.dimensions.ai/details/publication/pub.1079879690 schema:CreativeWork
266 https://app.dimensions.ai/details/publication/pub.1082362182 schema:CreativeWork
267 https://app.dimensions.ai/details/publication/pub.1083118143 schema:CreativeWork
268 https://doi.org/10.1002/clc.4960270406 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002088591
269 rdf:type schema:CreativeWork
270 https://doi.org/10.1016/0735-1097(88)92608-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006691672
271 rdf:type schema:CreativeWork
272 https://doi.org/10.1016/0735-1097(95)00374-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016263995
273 rdf:type schema:CreativeWork
274 https://doi.org/10.1016/0735-1097(96)00165-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010551650
275 rdf:type schema:CreativeWork
276 https://doi.org/10.1016/s0002-9149(88)80081-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1033717214
277 rdf:type schema:CreativeWork
278 https://doi.org/10.1056/nejm198409273111303 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048410078
279 rdf:type schema:CreativeWork
280 https://doi.org/10.1067/mhj.2001.112783 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027729505
281 rdf:type schema:CreativeWork
282 https://doi.org/10.1097/00006231-199805000-00007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018044609
283 rdf:type schema:CreativeWork
284 https://doi.org/10.1161/01.cir.78.5.1192 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043389580
285 rdf:type schema:CreativeWork
286 https://doi.org/10.1161/01.cir.89.6.2843 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023033445
287 rdf:type schema:CreativeWork
288 https://doi.org/10.1161/01.cir.93.9.1667 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063337112
289 rdf:type schema:CreativeWork
290 https://doi.org/10.1161/01.res.61.6.797 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026475558
291 rdf:type schema:CreativeWork
292 https://doi.org/10.1253/jcj.65.155 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037072799
293 rdf:type schema:CreativeWork
294 https://www.grid.ac/institutes/grid.268394.2 schema:alternateName Yamagata University
295 schema:name Department of Radiology, Yamagata University School of Medicine, Japan
296 First Department of Internal Medicine, Yamagata University School of Medicine, 2-2-2 Iida-Nishi, 990-9585, Yamagata, Japan
297 rdf:type schema:Organization
 




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


...