Gated SPECT evaluation of left ventricular function using a CZT camera and a fast low-dose clinical protocol: comparison to cardiac ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-12

AUTHORS

Assuero Giorgetti, Pier Giorgio Masci, Gavino Marras, Yasmine K. Rustamova, Alessia Gimelli, Dario Genovesi, Massimo Lombardi, Paolo Marzullo

ABSTRACT

PURPOSE: CZT technology allows ultrafast low-dose myocardial scintigraphy but its accuracy in assessing left ventricular function is still to be defined. METHODS: The study group comprised 55 patients (23 women, mean age 63 ± 9 years) referred for myocardial perfusion scintigraphy. The patients were studied at rest using a CZT camera (Discovery NM530c; GE Healthcare) and a low-dose (99m)Tc-tetrofosmin clinical protocol (mean dose 264 ± 38 MBq). Gated SPECT imaging was performed as a 6-min list-mode acquisition, 15 min after radiotracer injection. Images were reformatted (8-frame to 16-frame) using Lister software on a Xeleris workstation (GE Healthcare) and then reconstructed with a dedicated iterative algorithm. Analysis was performed using Quantitative Gated SPECT (QGS) software. Within 2 weeks patients underwent cardiac magnetic resonance imaging (cMRI, 1.5-T unit CVi; GE Healthcare) using a 30-frame acquisition protocol and dedicated software for analysis (MASS 6.1; Medis). RESULTS: The ventricular volumes obtained with 8-frame QGS showed excellent correlations with the cMRI volumes (end-diastolic volume (EDV), r = 0.90; end-systolic volume (ESV), r = 0.94; p < 0.001). However, QGS significantly underestimated the ventricular volumes (mean differences: EDV, -39.5 ± 29 mL; ESV, -15.4 ± 22 mL; p < 0.001). Similarly, the ventricular volumes obtained with 16-frame QGS showed an excellent correlations with the cMRI volumes (EDV, r = 0.92; ESV, r = 0.95; p < 0.001) but with significant underestimations (mean differences: EDV, -33.2 ± 26 mL; ESV, -17.9 ± 20 mL; p < 0.001). Despite significantly lower values (47.9 ± 16 % vs. 51.2 ± 15 %, p < 0.008), 8-frame QGS mean ejection fraction (EF) was closely correlated with the cMRI values (r = 0.84, p < 0.001). The mean EF with 16-frame QGS showed the best correlation with the cMRI values (r = 0.91, p < 0.001) and was similar to the mean cMRI value (49.6 ± 16 %, p not significant). Regional analysis showed a good correlation between both 8-frame and 16-frame QGS and cMRI wall motion score indexes (8-frame WMSI, r = 0.85; 16-frame WMSI, r = 0.89; p < 0.01). CONCLUSION: Low-dose gated SPECT with a CZT camera provides ventricular volumes that correlate well with cMRI results despite significant underestimation in the measure values. EF estimation appeared to be more accurate with 16-frame reformatted images than with 8-frame images. More... »

PAGES

1869-1875

References to SciGraph publications

  • 1999-01. Evaluation of left ventricular wall motion, volumes, and ejection fraction by gated myocardial tomography with technetium 99m-labeled tetrofosmin: A comparison with cine magnetic resonance imaging in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2011-04. Evaluation of left ventricular function using cardiac magnetic resonance imaging in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2004-04. Validation of 4D-MSPECT and QGS for quantification of left ventricular volumes and ejection fraction from gated 99mTc-MIBI SPET: comparison with cardiac magnetic resonance imaging in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2009-12. Novel solid-state-detector dedicated cardiac camera for fast myocardial perfusion imaging: multicenter comparison with standard dual detector cameras in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2006-07. Prognostic value of poststress left ventricular volume and ejection fraction by gated myocardial perfusion SPECT in women and men: Gender-related differences in normal limits and outcomes in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2001-11. Evaluation of left ventricular endocardial volumes and ejection fractions computed from gated perfusion SPECT with magnetic resonance imaging: Comparison of two methods in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2008-01. Effect of sex, age, and weight on ejection fraction and end-systolic volume reference limits in gated myocardial perfusion SPECT in JOURNAL OF NUCLEAR CARDIOLOGY
  • 2012-12. Nuclear cardiology at the door of a new era: better to save mSv or to reduce imaging time? in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2012-01. High diagnostic accuracy of low-dose gated-SPECT with solid-state ultrafast detectors: preliminary clinical results in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2000-09. Gated SPET quantification of small hearts: mathematical simulation and clinical application in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-10. Reduced isotope dose and imaging time with a high-efficiency CZT SPECT camera in JOURNAL OF NUCLEAR CARDIOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00259-013-2505-9

    DOI

    http://dx.doi.org/10.1007/s00259-013-2505-9

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1034412711

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23884280


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Clinical Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cadmium", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cardiac-Gated Single-Photon Emission Computer-Assisted Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Heart Ventricles", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Magnetic Resonance Imaging", 
            "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": "Movement", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Organ Size", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiation Dosage", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tellurium", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Ventricular Function, Left", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Zinc", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Fondazione CNR/Regione Toscana \u201cG. Monasterio\u201d, Via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Giorgetti", 
            "givenName": "Assuero", 
            "id": "sg:person.01146674403.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146674403.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Fondazione CNR/Regione Toscana \u201cG. Monasterio\u201d, Via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Masci", 
            "givenName": "Pier Giorgio", 
            "id": "sg:person.01256521507.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256521507.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Fondazione CNR/Regione Toscana \u201cG. Monasterio\u201d, Via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marras", 
            "givenName": "Gavino", 
            "id": "sg:person.0750237475.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750237475.26"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Azerbaijan Medical University", 
              "id": "https://www.grid.ac/institutes/grid.411469.f", 
              "name": [
                "Department of internal medicine Central Customs Hospital, Azerbaijan Medical University, Baku, Azerbaijan"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rustamova", 
            "givenName": "Yasmine K.", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Fondazione CNR/Regione Toscana \u201cG. Monasterio\u201d, Via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gimelli", 
            "givenName": "Alessia", 
            "id": "sg:person.01143542411.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143542411.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Fondazione CNR/Regione Toscana \u201cG. Monasterio\u201d, Via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Genovesi", 
            "givenName": "Dario", 
            "id": "sg:person.0602500111.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602500111.25"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Fondazione CNR/Regione Toscana \u201cG. Monasterio\u201d, Via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lombardi", 
            "givenName": "Massimo", 
            "id": "sg:person.0611027326.01", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611027326.01"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Istituto di Fisiologia Clinica", 
              "id": "https://www.grid.ac/institutes/grid.418529.3", 
              "name": [
                "Istituto di Fisiologia Clinica del CNR, via Moruzzi 1, 56124, Pisa, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Marzullo", 
            "givenName": "Paolo", 
            "id": "sg:person.01067622763.33", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067622763.33"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0002-9149(00)01231-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000738146"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-003-1411-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004476144", 
              "https://doi.org/10.1007/s00259-003-1411-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-009-9137-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004940899", 
              "https://doi.org/10.1007/s12350-009-9137-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/j.nuclcard.2007.10.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009623963", 
              "https://doi.org/10.1016/j.nuclcard.2007.10.004"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0735-1097(98)00661-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014189079"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s002590000299", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015415324", 
              "https://doi.org/10.1007/s002590000299"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.112.110577", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015664003"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0735-1097(97)00276-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023075259"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/j.nuclcard.2006.03.019", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025011789", 
              "https://doi.org/10.1016/j.nuclcard.2006.03.019"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1016/s1071-3581(99)90058-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025968362", 
              "https://doi.org/10.1016/s1071-3581(99)90058-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-011-9379-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028839196", 
              "https://doi.org/10.1007/s12350-011-9379-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1067/mnc.2001.117173", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032839331", 
              "https://doi.org/10.1067/mnc.2001.117173"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-012-2238-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034257445", 
              "https://doi.org/10.1007/s00259-012-2238-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-011-1918-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034700602", 
              "https://doi.org/10.1007/s00259-011-1918-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.110.081323", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036555702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1161/01.cir.59.3.421", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037705043"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12350-010-9334-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038243686", 
              "https://doi.org/10.1007/s12350-010-9334-z"
            ], 
            "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": "https://doi.org/10.1148/radiology.217.2.r00nv15572", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042246192"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074889533", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-12", 
        "datePublishedReg": "2013-12-01", 
        "description": "PURPOSE: CZT technology allows ultrafast low-dose myocardial scintigraphy but its accuracy in assessing left ventricular function is still to be defined.\nMETHODS: The study group comprised 55 patients (23 women, mean age 63 \u00b1 9 years) referred for myocardial perfusion scintigraphy. The patients were studied at rest using a CZT camera (Discovery NM530c; GE Healthcare) and a low-dose (99m)Tc-tetrofosmin clinical protocol (mean dose 264 \u00b1 38 MBq). Gated SPECT imaging was performed as a 6-min list-mode acquisition, 15 min after radiotracer injection. Images were reformatted (8-frame to 16-frame) using Lister software on a Xeleris workstation (GE Healthcare) and then reconstructed with a dedicated iterative algorithm. Analysis was performed using Quantitative Gated SPECT (QGS) software. Within 2 weeks patients underwent cardiac magnetic resonance imaging (cMRI, 1.5-T unit CVi; GE Healthcare) using a 30-frame acquisition protocol and dedicated software for analysis (MASS 6.1; Medis).\nRESULTS: The ventricular volumes obtained with 8-frame QGS showed excellent correlations with the cMRI volumes (end-diastolic volume (EDV), r = 0.90; end-systolic volume (ESV), r = 0.94; p < 0.001). However, QGS significantly underestimated the ventricular volumes (mean differences: EDV, -39.5 \u00b1 29 mL; ESV, -15.4 \u00b1 22 mL; p < 0.001). Similarly, the ventricular volumes obtained with 16-frame QGS showed an excellent correlations with the cMRI volumes (EDV, r = 0.92; ESV, r = 0.95; p < 0.001) but with significant underestimations (mean differences: EDV, -33.2 \u00b1 26 mL; ESV, -17.9 \u00b1 20 mL; p < 0.001). Despite significantly lower values (47.9 \u00b1 16 % vs. 51.2 \u00b1 15 %, p < 0.008), 8-frame QGS mean ejection fraction (EF) was closely correlated with the cMRI values (r = 0.84, p < 0.001). The mean EF with 16-frame QGS showed the best correlation with the cMRI values (r = 0.91, p < 0.001) and was similar to the mean cMRI value (49.6 \u00b1 16 %, p not significant). Regional analysis showed a good correlation between both 8-frame and 16-frame QGS and cMRI wall motion score indexes (8-frame WMSI, r = 0.85; 16-frame WMSI, r = 0.89; p < 0.01).\nCONCLUSION: Low-dose gated SPECT with a CZT camera provides ventricular volumes that correlate well with cMRI results despite significant underestimation in the measure values. EF estimation appeared to be more accurate with 16-frame reformatted images than with 8-frame images.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00259-013-2505-9", 
        "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": "12", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "40"
          }
        ], 
        "name": "Gated SPECT evaluation of left ventricular function using a CZT camera and a fast low-dose clinical protocol: comparison to cardiac magnetic resonance imaging", 
        "pagination": "1869-1875", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "a3edc0ad812f3b6c95e59f2f91c25138068b559d613638c582eebacaa7d5c314"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "23884280"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101140988"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00259-013-2505-9"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1034412711"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00259-013-2505-9", 
          "https://app.dimensions.ai/details/publication/pub.1034412711"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-10T17:32", 
        "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_8672_00000514.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00259-013-2505-9"
      }
    ]
     

    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/s00259-013-2505-9'

    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/s00259-013-2505-9'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-013-2505-9'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-013-2505-9'


     

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

    262 TRIPLES      21 PREDICATES      64 URIs      36 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00259-013-2505-9 schema:about N31894bfc7a514a11991e98de33d19335
    2 N39860f789f5f46ceadeb5d9272c0e0ac
    3 N45404b77c43c4833933921c06c14054f
    4 N570261a7aa074bd3b1f9d9fd06bce350
    5 N5a0486228b27480498092708a355ff85
    6 N5e04172eb3b8457cac2764c1e10eb1a5
    7 N6800448e13f341eda5b7263f07dcb1ea
    8 N71fb03092f244675975b19c8308d6d70
    9 N9d14c8ade268488793df5f435e05bd7a
    10 Na3d7948f20c341498c7915196d4454ba
    11 Na805fe90b745437589318052dec8a7b4
    12 Naf9a958794f4483995333d24adeb9314
    13 Nb019f433779c4317a3cc7cdbeb9df0a1
    14 Nb505b4f7d0c749898a9deda39eb05513
    15 Nd83a9b9e2fb24c98949950929e513c8f
    16 anzsrc-for:11
    17 anzsrc-for:1103
    18 schema:author N2d6b14cba10b437ba224e9f9002b1d4b
    19 schema:citation sg:pub.10.1007/s00259-003-1411-y
    20 sg:pub.10.1007/s00259-011-1918-6
    21 sg:pub.10.1007/s00259-012-2238-1
    22 sg:pub.10.1007/s002590000299
    23 sg:pub.10.1007/s12350-009-9137-2
    24 sg:pub.10.1007/s12350-010-9334-z
    25 sg:pub.10.1007/s12350-011-9379-7
    26 sg:pub.10.1016/j.nuclcard.2006.03.019
    27 sg:pub.10.1016/j.nuclcard.2007.10.004
    28 sg:pub.10.1016/s1071-3581(99)90058-2
    29 sg:pub.10.1067/mnc.2001.117173
    30 https://app.dimensions.ai/details/publication/pub.1074889533
    31 https://doi.org/10.1016/s0002-9149(00)01231-5
    32 https://doi.org/10.1016/s0140-6736(86)90837-8
    33 https://doi.org/10.1016/s0735-1097(97)00276-3
    34 https://doi.org/10.1016/s0735-1097(98)00661-5
    35 https://doi.org/10.1148/radiology.217.2.r00nv15572
    36 https://doi.org/10.1161/01.cir.59.3.421
    37 https://doi.org/10.2967/jnumed.110.081323
    38 https://doi.org/10.2967/jnumed.112.110577
    39 schema:datePublished 2013-12
    40 schema:datePublishedReg 2013-12-01
    41 schema:description PURPOSE: CZT technology allows ultrafast low-dose myocardial scintigraphy but its accuracy in assessing left ventricular function is still to be defined. METHODS: The study group comprised 55 patients (23 women, mean age 63 ± 9 years) referred for myocardial perfusion scintigraphy. The patients were studied at rest using a CZT camera (Discovery NM530c; GE Healthcare) and a low-dose (99m)Tc-tetrofosmin clinical protocol (mean dose 264 ± 38 MBq). Gated SPECT imaging was performed as a 6-min list-mode acquisition, 15 min after radiotracer injection. Images were reformatted (8-frame to 16-frame) using Lister software on a Xeleris workstation (GE Healthcare) and then reconstructed with a dedicated iterative algorithm. Analysis was performed using Quantitative Gated SPECT (QGS) software. Within 2 weeks patients underwent cardiac magnetic resonance imaging (cMRI, 1.5-T unit CVi; GE Healthcare) using a 30-frame acquisition protocol and dedicated software for analysis (MASS 6.1; Medis). RESULTS: The ventricular volumes obtained with 8-frame QGS showed excellent correlations with the cMRI volumes (end-diastolic volume (EDV), r = 0.90; end-systolic volume (ESV), r = 0.94; p < 0.001). However, QGS significantly underestimated the ventricular volumes (mean differences: EDV, -39.5 ± 29 mL; ESV, -15.4 ± 22 mL; p < 0.001). Similarly, the ventricular volumes obtained with 16-frame QGS showed an excellent correlations with the cMRI volumes (EDV, r = 0.92; ESV, r = 0.95; p < 0.001) but with significant underestimations (mean differences: EDV, -33.2 ± 26 mL; ESV, -17.9 ± 20 mL; p < 0.001). Despite significantly lower values (47.9 ± 16 % vs. 51.2 ± 15 %, p < 0.008), 8-frame QGS mean ejection fraction (EF) was closely correlated with the cMRI values (r = 0.84, p < 0.001). The mean EF with 16-frame QGS showed the best correlation with the cMRI values (r = 0.91, p < 0.001) and was similar to the mean cMRI value (49.6 ± 16 %, p not significant). Regional analysis showed a good correlation between both 8-frame and 16-frame QGS and cMRI wall motion score indexes (8-frame WMSI, r = 0.85; 16-frame WMSI, r = 0.89; p < 0.01). CONCLUSION: Low-dose gated SPECT with a CZT camera provides ventricular volumes that correlate well with cMRI results despite significant underestimation in the measure values. EF estimation appeared to be more accurate with 16-frame reformatted images than with 8-frame images.
    42 schema:genre research_article
    43 schema:inLanguage en
    44 schema:isAccessibleForFree false
    45 schema:isPartOf Nba689892d3b1436eb878c0288301107d
    46 Nebb172ca8a9d41d48b7e4522e1846344
    47 sg:journal.1297401
    48 schema:name Gated SPECT evaluation of left ventricular function using a CZT camera and a fast low-dose clinical protocol: comparison to cardiac magnetic resonance imaging
    49 schema:pagination 1869-1875
    50 schema:productId N47293fba7ed74926a0e4b046f400ef2e
    51 N672683e4010548ffb6e757bf3501dc5c
    52 N8a37529656d144dba591023aaecf6c13
    53 Nc03e9a86f6c14929a396e65b915e1029
    54 Ne3a213ee796d434087d4e131d05d18c4
    55 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034412711
    56 https://doi.org/10.1007/s00259-013-2505-9
    57 schema:sdDatePublished 2019-04-10T17:32
    58 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    59 schema:sdPublisher Ndb6079a99b1641a0bd98124c3722bc8c
    60 schema:url http://link.springer.com/10.1007%2Fs00259-013-2505-9
    61 sgo:license sg:explorer/license/
    62 sgo:sdDataset articles
    63 rdf:type schema:ScholarlyArticle
    64 N00093b661ca246b49ac0645a4f1bf526 schema:name Fondazione CNR/Regione Toscana “G. Monasterio”, Via Moruzzi 1, 56124, Pisa, Italy
    65 rdf:type schema:Organization
    66 N01b5813b3fc1407e978605907f25f7ca rdf:first sg:person.0602500111.25
    67 rdf:rest N4d9903fddfa04f45a195649e6aaea2f3
    68 N043fee2e032645a8a24ef8ce3198f088 rdf:first sg:person.01256521507.39
    69 rdf:rest N1c18b879bbe44e1eba5deec3c07e1304
    70 N16177d5c0fb94ab7a560a6766de8d7cf schema:name Fondazione CNR/Regione Toscana “G. Monasterio”, Via Moruzzi 1, 56124, Pisa, Italy
    71 rdf:type schema:Organization
    72 N1c18b879bbe44e1eba5deec3c07e1304 rdf:first sg:person.0750237475.26
    73 rdf:rest Nbd468e53798443e1997703a7e79d8b51
    74 N2d6b14cba10b437ba224e9f9002b1d4b rdf:first sg:person.01146674403.13
    75 rdf:rest N043fee2e032645a8a24ef8ce3198f088
    76 N31894bfc7a514a11991e98de33d19335 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    77 schema:name Cardiac-Gated Single-Photon Emission Computer-Assisted Tomography
    78 rdf:type schema:DefinedTerm
    79 N39860f789f5f46ceadeb5d9272c0e0ac schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    80 schema:name Time Factors
    81 rdf:type schema:DefinedTerm
    82 N45404b77c43c4833933921c06c14054f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    83 schema:name Zinc
    84 rdf:type schema:DefinedTerm
    85 N47293fba7ed74926a0e4b046f400ef2e schema:name nlm_unique_id
    86 schema:value 101140988
    87 rdf:type schema:PropertyValue
    88 N4d9903fddfa04f45a195649e6aaea2f3 rdf:first sg:person.0611027326.01
    89 rdf:rest Na35f621024f04c0fad6ec92f5791994d
    90 N570261a7aa074bd3b1f9d9fd06bce350 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    91 schema:name Heart Ventricles
    92 rdf:type schema:DefinedTerm
    93 N5a0486228b27480498092708a355ff85 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    94 schema:name Radiation Dosage
    95 rdf:type schema:DefinedTerm
    96 N5e04172eb3b8457cac2764c1e10eb1a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    97 schema:name Male
    98 rdf:type schema:DefinedTerm
    99 N5ed4cb4d766c4486970833281bc94e81 schema:name Fondazione CNR/Regione Toscana “G. Monasterio”, Via Moruzzi 1, 56124, Pisa, Italy
    100 rdf:type schema:Organization
    101 N672683e4010548ffb6e757bf3501dc5c schema:name pubmed_id
    102 schema:value 23884280
    103 rdf:type schema:PropertyValue
    104 N6800448e13f341eda5b7263f07dcb1ea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    105 schema:name Humans
    106 rdf:type schema:DefinedTerm
    107 N71fb03092f244675975b19c8308d6d70 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Middle Aged
    109 rdf:type schema:DefinedTerm
    110 N7b00896e387d45db8335057abd5e5dcf schema:affiliation https://www.grid.ac/institutes/grid.411469.f
    111 schema:familyName Rustamova
    112 schema:givenName Yasmine K.
    113 rdf:type schema:Person
    114 N8a37529656d144dba591023aaecf6c13 schema:name readcube_id
    115 schema:value a3edc0ad812f3b6c95e59f2f91c25138068b559d613638c582eebacaa7d5c314
    116 rdf:type schema:PropertyValue
    117 N9d14c8ade268488793df5f435e05bd7a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    118 schema:name Magnetic Resonance Imaging
    119 rdf:type schema:DefinedTerm
    120 Na35f621024f04c0fad6ec92f5791994d rdf:first sg:person.01067622763.33
    121 rdf:rest rdf:nil
    122 Na3d7948f20c341498c7915196d4454ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Movement
    124 rdf:type schema:DefinedTerm
    125 Na805fe90b745437589318052dec8a7b4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Female
    127 rdf:type schema:DefinedTerm
    128 Naf9a958794f4483995333d24adeb9314 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    129 schema:name Organ Size
    130 rdf:type schema:DefinedTerm
    131 Nb019f433779c4317a3cc7cdbeb9df0a1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Tellurium
    133 rdf:type schema:DefinedTerm
    134 Nb154dcb4ff284e94948d7e7e1aa495f8 schema:name Fondazione CNR/Regione Toscana “G. Monasterio”, Via Moruzzi 1, 56124, Pisa, Italy
    135 rdf:type schema:Organization
    136 Nb505b4f7d0c749898a9deda39eb05513 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Ventricular Function, Left
    138 rdf:type schema:DefinedTerm
    139 Nba689892d3b1436eb878c0288301107d schema:volumeNumber 40
    140 rdf:type schema:PublicationVolume
    141 Nbc56b73cfa7d4a6b924e1606d13b658e rdf:first sg:person.01143542411.58
    142 rdf:rest N01b5813b3fc1407e978605907f25f7ca
    143 Nbd468e53798443e1997703a7e79d8b51 rdf:first N7b00896e387d45db8335057abd5e5dcf
    144 rdf:rest Nbc56b73cfa7d4a6b924e1606d13b658e
    145 Nc03e9a86f6c14929a396e65b915e1029 schema:name dimensions_id
    146 schema:value pub.1034412711
    147 rdf:type schema:PropertyValue
    148 Nd6bc034ed75b4ed2afcc042a8ff175c4 schema:name Fondazione CNR/Regione Toscana “G. Monasterio”, Via Moruzzi 1, 56124, Pisa, Italy
    149 rdf:type schema:Organization
    150 Nd83a9b9e2fb24c98949950929e513c8f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Cadmium
    152 rdf:type schema:DefinedTerm
    153 Ndb6079a99b1641a0bd98124c3722bc8c schema:name Springer Nature - SN SciGraph project
    154 rdf:type schema:Organization
    155 Ne3a213ee796d434087d4e131d05d18c4 schema:name doi
    156 schema:value 10.1007/s00259-013-2505-9
    157 rdf:type schema:PropertyValue
    158 Nebb172ca8a9d41d48b7e4522e1846344 schema:issueNumber 12
    159 rdf:type schema:PublicationIssue
    160 Nf27907cbd5aa41b8a0fa1029d9af2372 schema:name Fondazione CNR/Regione Toscana “G. Monasterio”, Via Moruzzi 1, 56124, Pisa, Italy
    161 rdf:type schema:Organization
    162 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    163 schema:name Medical and Health Sciences
    164 rdf:type schema:DefinedTerm
    165 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    166 schema:name Clinical Sciences
    167 rdf:type schema:DefinedTerm
    168 sg:journal.1297401 schema:issn 1619-7070
    169 1619-7089
    170 schema:name European Journal of Nuclear Medicine and Molecular Imaging
    171 rdf:type schema:Periodical
    172 sg:person.01067622763.33 schema:affiliation https://www.grid.ac/institutes/grid.418529.3
    173 schema:familyName Marzullo
    174 schema:givenName Paolo
    175 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067622763.33
    176 rdf:type schema:Person
    177 sg:person.01143542411.58 schema:affiliation Nb154dcb4ff284e94948d7e7e1aa495f8
    178 schema:familyName Gimelli
    179 schema:givenName Alessia
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01143542411.58
    181 rdf:type schema:Person
    182 sg:person.01146674403.13 schema:affiliation N5ed4cb4d766c4486970833281bc94e81
    183 schema:familyName Giorgetti
    184 schema:givenName Assuero
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146674403.13
    186 rdf:type schema:Person
    187 sg:person.01256521507.39 schema:affiliation Nf27907cbd5aa41b8a0fa1029d9af2372
    188 schema:familyName Masci
    189 schema:givenName Pier Giorgio
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01256521507.39
    191 rdf:type schema:Person
    192 sg:person.0602500111.25 schema:affiliation N00093b661ca246b49ac0645a4f1bf526
    193 schema:familyName Genovesi
    194 schema:givenName Dario
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0602500111.25
    196 rdf:type schema:Person
    197 sg:person.0611027326.01 schema:affiliation Nd6bc034ed75b4ed2afcc042a8ff175c4
    198 schema:familyName Lombardi
    199 schema:givenName Massimo
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0611027326.01
    201 rdf:type schema:Person
    202 sg:person.0750237475.26 schema:affiliation N16177d5c0fb94ab7a560a6766de8d7cf
    203 schema:familyName Marras
    204 schema:givenName Gavino
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750237475.26
    206 rdf:type schema:Person
    207 sg:pub.10.1007/s00259-003-1411-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1004476144
    208 https://doi.org/10.1007/s00259-003-1411-y
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1007/s00259-011-1918-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034700602
    211 https://doi.org/10.1007/s00259-011-1918-6
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1007/s00259-012-2238-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034257445
    214 https://doi.org/10.1007/s00259-012-2238-1
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1007/s002590000299 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015415324
    217 https://doi.org/10.1007/s002590000299
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1007/s12350-009-9137-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004940899
    220 https://doi.org/10.1007/s12350-009-9137-2
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1007/s12350-010-9334-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1038243686
    223 https://doi.org/10.1007/s12350-010-9334-z
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1007/s12350-011-9379-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028839196
    226 https://doi.org/10.1007/s12350-011-9379-7
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1016/j.nuclcard.2006.03.019 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025011789
    229 https://doi.org/10.1016/j.nuclcard.2006.03.019
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1016/j.nuclcard.2007.10.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009623963
    232 https://doi.org/10.1016/j.nuclcard.2007.10.004
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1016/s1071-3581(99)90058-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025968362
    235 https://doi.org/10.1016/s1071-3581(99)90058-2
    236 rdf:type schema:CreativeWork
    237 sg:pub.10.1067/mnc.2001.117173 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032839331
    238 https://doi.org/10.1067/mnc.2001.117173
    239 rdf:type schema:CreativeWork
    240 https://app.dimensions.ai/details/publication/pub.1074889533 schema:CreativeWork
    241 https://doi.org/10.1016/s0002-9149(00)01231-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000738146
    242 rdf:type schema:CreativeWork
    243 https://doi.org/10.1016/s0140-6736(86)90837-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040287180
    244 rdf:type schema:CreativeWork
    245 https://doi.org/10.1016/s0735-1097(97)00276-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023075259
    246 rdf:type schema:CreativeWork
    247 https://doi.org/10.1016/s0735-1097(98)00661-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014189079
    248 rdf:type schema:CreativeWork
    249 https://doi.org/10.1148/radiology.217.2.r00nv15572 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042246192
    250 rdf:type schema:CreativeWork
    251 https://doi.org/10.1161/01.cir.59.3.421 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037705043
    252 rdf:type schema:CreativeWork
    253 https://doi.org/10.2967/jnumed.110.081323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036555702
    254 rdf:type schema:CreativeWork
    255 https://doi.org/10.2967/jnumed.112.110577 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015664003
    256 rdf:type schema:CreativeWork
    257 https://www.grid.ac/institutes/grid.411469.f schema:alternateName Azerbaijan Medical University
    258 schema:name Department of internal medicine Central Customs Hospital, Azerbaijan Medical University, Baku, Azerbaijan
    259 rdf:type schema:Organization
    260 https://www.grid.ac/institutes/grid.418529.3 schema:alternateName Istituto di Fisiologia Clinica
    261 schema:name Istituto di Fisiologia Clinica del CNR, via Moruzzi 1, 56124, Pisa, Italy
    262 rdf:type schema:Organization
     




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


    ...