Comparison of standard and delayed imaging to improve the detection rate of [68Ga]PSMA I&T PET/CT in patients with biochemical recurrence ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-06

AUTHORS

Sebastian Schmuck, Stefan Nordlohne, Christoph-A. von Klot, Christoph Henkenberens, Jan M. Sohns, Hans Christiansen, Hans-Jürgen Wester, Tobias L. Ross, Frank M. Bengel, Thorsten Derlin

ABSTRACT

PURPOSE: The aim of this study was to assess the value of dual-time point imaging in PET/CT for detection of biochemically recurrent or persistent prostate cancer, using the prostate-specific membrane antigen (PSMA) ligand [68Ga]PSMA I&T. METHODS: 240 patients who underwent a [68Ga]PSMA I&T PET/CT in the context of biochemical relapse of prostate cancer were included in this retrospective analysis. Imaging consisted of a standard whole-body PET/CT (1 h p.i.), followed by delayed (3 h p.i.) imaging of the abdomen. PSA-stratified proportions of positive PET/CT results, standardized uptake values and target-to-background ratios were analyzed, and compared between standard and delayed imaging. RESULTS: The overall detection rates of [68Ga]PSMA I&T PET/CT were 94.2, 71.8, 58.6, 55.9 and 38.9% for PSA levels of ≥2, 1 to <2, 0.5 to <1, >0.2 to <0.5, and 0.01 to 0.2 ng/mL, respectively. Although the target-to-background ratio improved significantly over time (P < 0.0001), the majority (96.6%) of all lesions suggestive of recurrent disease could already be detected in standard imaging. Delayed imaging at 3 h p.i. exclusively identified pathologic findings in 5.4% (10/184) of abnormal [68Ga]PSMA I&T PET/CT scans, and exclusively detected 3.4% (38/1134) of all lesions suggestive of recurrent disease. CONCLUSIONS: [68Ga]PSMA I&T PET/CT shows high detection rates in patients with prostate-specific antigen persistence or biochemical recurrence of prostate cancer. Delayed imaging can detect lesions with improved contrast compared to standard imaging. However, the impact on detection rates was limited in this study. More... »

PAGES

960-968

References to SciGraph publications

  • 2010-02. Predictive factors of [11C]choline PET/CT in patients with biochemical failure after radical prostatectomy in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2013-04. PET imaging with a [68Ga]gallium-labelled PSMA ligand for the diagnosis of prostate cancer: biodistribution in humans and first evaluation of tumour lesions in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2017-04. F-18 labelled PSMA-1007: biodistribution, radiation dosimetry and histopathological validation of tumor lesions in prostate cancer patients in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2017-04. Detection rate of PET/CT in patients with biochemical relapse of prostate cancer using [68Ga]PSMA I&T and comparison with published data of [68Ga]PSMA HBED-CC in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2014-12. Impact of point spread function modelling and time of flight on FDG uptake measurements in lung lesions using alternative filtering strategies in EJNMMI PHYSICS
  • 2016-05. Biphasic 68Ga-PSMA-HBED-CC-PET/CT in patients with recurrent and high-risk prostate carcinoma in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-12. 68Ga-PSMA I&T PET/CT for assessment of prostate cancer: evaluation of image quality after forced diuresis and delayed imaging in EUROPEAN RADIOLOGY
  • 2016-12. 68Ga-PSMA ligand PET/CT in patients with prostate cancer: How we review and report in CANCER IMAGING
  • 2015-02. The diagnostic value of PET/CT imaging with the 68Ga-labelled PSMA ligand HBED-CC in the diagnosis of recurrent prostate cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2016-08. Radiation dosimetry of 68Ga-PSMA-11 (HBED-CC) and preliminary evaluation of optimal imaging timing in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00259-017-3669-5

    DOI

    http://dx.doi.org/10.1007/s00259-017-3669-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1084020154

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/28280856


    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/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "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": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Coordination Complexes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Follow-Up Studies", 
            "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": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Oligopeptides", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Positron Emission Tomography Computed Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prostate-Specific Antigen", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prostatic Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Recurrence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Reference Standards", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Retrospective Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Schmuck", 
            "givenName": "Sebastian", 
            "id": "sg:person.013240364207.17", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013240364207.17"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Nordlohne", 
            "givenName": "Stefan", 
            "id": "sg:person.012570150667.68", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012570150667.68"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Urology and Urologic Oncology, Hannover Medical School, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "von Klot", 
            "givenName": "Christoph-A.", 
            "id": "sg:person.0600513360.81", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600513360.81"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Radiation Oncology, Hannover Medical School, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Henkenberens", 
            "givenName": "Christoph", 
            "id": "sg:person.0711655634.14", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711655634.14"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sohns", 
            "givenName": "Jan M.", 
            "id": "sg:person.0660437663.32", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660437663.32"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Radiation Oncology, Hannover Medical School, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Christiansen", 
            "givenName": "Hans", 
            "id": "sg:person.01255557253.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255557253.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Pharmaceutical Radiochemistry, Technische Universit\u00e4t M\u00fcnchen|, Garching, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wester", 
            "givenName": "Hans-J\u00fcrgen", 
            "id": "sg:person.0741035645.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741035645.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ross", 
            "givenName": "Tobias L.", 
            "id": "sg:person.01057176500.15", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057176500.15"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bengel", 
            "givenName": "Frank M.", 
            "id": "sg:person.01225020511.95", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225020511.95"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Hannover Medical School", 
              "id": "https://www.grid.ac/institutes/grid.10423.34", 
              "name": [
                "Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Derlin", 
            "givenName": "Thorsten", 
            "id": "sg:person.0704554652.25", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704554652.25"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0090-4295(02)02411-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001775369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0090-4295(02)02411-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001775369"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-015-3251-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002910250", 
              "https://doi.org/10.1007/s00259-015-3251-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rlu.0000000000000594", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013246604"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rlu.0000000000000594", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013246604"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3322/caac.21262", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013257560"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-014-2949-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017806742", 
              "https://doi.org/10.1007/s00259-014-2949-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-014-2949-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017806742", 
              "https://doi.org/10.1007/s00259-014-2949-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0360-3016(97)00002-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019618944"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.115.158550", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021081752"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-009-1253-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021793169", 
              "https://doi.org/10.1007/s00259-009-1253-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-009-1253-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021793169", 
              "https://doi.org/10.1007/s00259-009-1253-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40644-016-0072-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023676471", 
              "https://doi.org/10.1186/s40644-016-0072-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40644-016-0072-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023676471", 
              "https://doi.org/10.1186/s40644-016-0072-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00330-016-4308-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1025076096", 
              "https://doi.org/10.1007/s00330-016-4308-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.urolonc.2015.09.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027743444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.115.154153", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030714440"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rlu.0000000000001273", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035439478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/rlu.0000000000001273", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035439478"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.115.156133", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042074013"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(14)61947-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042194391"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-016-3573-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048073054", 
              "https://doi.org/10.1007/s00259-016-3573-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-016-3573-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048073054", 
              "https://doi.org/10.1007/s00259-016-3573-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40658-014-0099-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048456590", 
              "https://doi.org/10.1186/s40658-014-0099-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40658-014-0099-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048456590", 
              "https://doi.org/10.1186/s40658-014-0099-3"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-016-3419-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048991451", 
              "https://doi.org/10.1007/s00259-016-3419-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-016-3419-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048991451", 
              "https://doi.org/10.1007/s00259-016-3419-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-012-2298-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051179630", 
              "https://doi.org/10.1007/s00259-012-2298-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.nucmedbio.2013.09.002", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052348089"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-016-3572-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053705049", 
              "https://doi.org/10.1007/s00259-016-3572-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-016-3572-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053705049", 
              "https://doi.org/10.1007/s00259-016-3572-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2003.01.102", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064203287"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.115.168443", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070928389"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.116.173492", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070928492"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.116.173492", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070928492"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.116.179739", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070928600"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2967/jnumed.116.185538", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070928679"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074874261", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078691145", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2017-06", 
        "datePublishedReg": "2017-06-01", 
        "description": "PURPOSE: The aim of this study was to assess the value of dual-time point imaging in PET/CT for detection of biochemically recurrent or persistent prostate cancer, using the prostate-specific membrane antigen (PSMA) ligand [68Ga]PSMA I&T.\nMETHODS: 240 patients who underwent a [68Ga]PSMA I&T PET/CT in the context of biochemical relapse of prostate cancer were included in this retrospective analysis. Imaging consisted of a standard whole-body PET/CT (1 h p.i.), followed by delayed (3 h p.i.) imaging of the abdomen. PSA-stratified proportions of positive PET/CT results, standardized uptake values and target-to-background ratios were analyzed, and compared between standard and delayed imaging.\nRESULTS: The overall detection rates of [68Ga]PSMA I&T PET/CT were 94.2, 71.8, 58.6, 55.9 and 38.9% for PSA levels of \u22652, 1 to <2, 0.5 to <1, >0.2 to <0.5, and 0.01 to 0.2 ng/mL, respectively. Although the target-to-background ratio improved significantly over time (P\u2009<\u20090.0001), the majority (96.6%) of all lesions suggestive of recurrent disease could already be detected in standard imaging. Delayed imaging at 3 h p.i. exclusively identified pathologic findings in 5.4% (10/184) of abnormal [68Ga]PSMA I&T PET/CT scans, and exclusively detected 3.4% (38/1134) of all lesions suggestive of recurrent disease.\nCONCLUSIONS: [68Ga]PSMA I&T PET/CT shows high detection rates in patients with prostate-specific antigen persistence or biochemical recurrence of prostate cancer. Delayed imaging can detect lesions with improved contrast compared to standard imaging. However, the impact on detection rates was limited in this study.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00259-017-3669-5", 
        "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": "6", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "44"
          }
        ], 
        "name": "Comparison of standard and delayed imaging to improve the detection rate of [68Ga]PSMA I&T PET/CT in patients with biochemical recurrence or prostate-specific antigen persistence after primary therapy for prostate cancer", 
        "pagination": "960-968", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "8af7b86b29327634fb03e99f5a806fb1fb8f08831f8dd593797e3e175ff0b3ff"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "28280856"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101140988"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00259-017-3669-5"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1084020154"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00259-017-3669-5", 
          "https://app.dimensions.ai/details/publication/pub.1084020154"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T10:37", 
        "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/v90/0000000349_0000000349/records_113673_00000004.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs00259-017-3669-5"
      }
    ]
     

    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/s00259-017-3669-5'

    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/s00259-017-3669-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-017-3669-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-017-3669-5'


     

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

    292 TRIPLES      21 PREDICATES      73 URIs      37 LITERALS      25 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00259-017-3669-5 schema:about N0f3533e4c7a94c1bb66d0f369a8e0e94
    2 N0f74bf1375964a8a95e5fe04c784a67c
    3 N238e7e368bce4718a6255c59eeb8c5d4
    4 N2e3b05cec0d14a7689908ae8721e1eee
    5 N5711723152ed456292d54e6140409170
    6 N84dae3e51333448e84cec17d9005f7d2
    7 N8936bba8b8c74270b6de4b8349d7f1d7
    8 Na00d4c3e40574a24af75ed4c698a218f
    9 Na4f41a2c534141a797ff93c72bd57fbf
    10 Nb5ffc83b7f404047a515fcbc8b72685d
    11 Nba72792e7a9b47aaa39cc2e4bc182a45
    12 Nbc01badf234f44e7a9c1a2710225e108
    13 Nbf3594e1e6ab46e7a0eca67e9a98d1a2
    14 Nc3d60a350e0d4a21a2db9cad79787dda
    15 Nc7a55bd02e2f4d30a654cbf0a187f770
    16 Ncc068d0483654896a1e7f6f522cbe817
    17 anzsrc-for:11
    18 anzsrc-for:1112
    19 schema:author N519f547a1b2d4c14a94395af8927b130
    20 schema:citation sg:pub.10.1007/s00259-009-1253-3
    21 sg:pub.10.1007/s00259-012-2298-2
    22 sg:pub.10.1007/s00259-014-2949-6
    23 sg:pub.10.1007/s00259-015-3251-y
    24 sg:pub.10.1007/s00259-016-3419-0
    25 sg:pub.10.1007/s00259-016-3572-5
    26 sg:pub.10.1007/s00259-016-3573-4
    27 sg:pub.10.1007/s00330-016-4308-4
    28 sg:pub.10.1186/s40644-016-0072-6
    29 sg:pub.10.1186/s40658-014-0099-3
    30 https://app.dimensions.ai/details/publication/pub.1074874261
    31 https://app.dimensions.ai/details/publication/pub.1078691145
    32 https://doi.org/10.1016/j.nucmedbio.2013.09.002
    33 https://doi.org/10.1016/j.urolonc.2015.09.012
    34 https://doi.org/10.1016/s0090-4295(02)02411-1
    35 https://doi.org/10.1016/s0140-6736(14)61947-4
    36 https://doi.org/10.1016/s0360-3016(97)00002-3
    37 https://doi.org/10.1097/rlu.0000000000000594
    38 https://doi.org/10.1097/rlu.0000000000001273
    39 https://doi.org/10.1200/jco.2003.01.102
    40 https://doi.org/10.2967/jnumed.115.154153
    41 https://doi.org/10.2967/jnumed.115.156133
    42 https://doi.org/10.2967/jnumed.115.158550
    43 https://doi.org/10.2967/jnumed.115.168443
    44 https://doi.org/10.2967/jnumed.116.173492
    45 https://doi.org/10.2967/jnumed.116.179739
    46 https://doi.org/10.2967/jnumed.116.185538
    47 https://doi.org/10.3322/caac.21262
    48 schema:datePublished 2017-06
    49 schema:datePublishedReg 2017-06-01
    50 schema:description PURPOSE: The aim of this study was to assess the value of dual-time point imaging in PET/CT for detection of biochemically recurrent or persistent prostate cancer, using the prostate-specific membrane antigen (PSMA) ligand [68Ga]PSMA I&T. METHODS: 240 patients who underwent a [68Ga]PSMA I&T PET/CT in the context of biochemical relapse of prostate cancer were included in this retrospective analysis. Imaging consisted of a standard whole-body PET/CT (1 h p.i.), followed by delayed (3 h p.i.) imaging of the abdomen. PSA-stratified proportions of positive PET/CT results, standardized uptake values and target-to-background ratios were analyzed, and compared between standard and delayed imaging. RESULTS: The overall detection rates of [68Ga]PSMA I&T PET/CT were 94.2, 71.8, 58.6, 55.9 and 38.9% for PSA levels of ≥2, 1 to <2, 0.5 to <1, >0.2 to <0.5, and 0.01 to 0.2 ng/mL, respectively. Although the target-to-background ratio improved significantly over time (P < 0.0001), the majority (96.6%) of all lesions suggestive of recurrent disease could already be detected in standard imaging. Delayed imaging at 3 h p.i. exclusively identified pathologic findings in 5.4% (10/184) of abnormal [68Ga]PSMA I&T PET/CT scans, and exclusively detected 3.4% (38/1134) of all lesions suggestive of recurrent disease. CONCLUSIONS: [68Ga]PSMA I&T PET/CT shows high detection rates in patients with prostate-specific antigen persistence or biochemical recurrence of prostate cancer. Delayed imaging can detect lesions with improved contrast compared to standard imaging. However, the impact on detection rates was limited in this study.
    51 schema:genre research_article
    52 schema:inLanguage en
    53 schema:isAccessibleForFree false
    54 schema:isPartOf N2ab7ed9da6de4177b736662d37e1e1c9
    55 N56844a06e5e94e8382455c45f666e558
    56 sg:journal.1297401
    57 schema:name Comparison of standard and delayed imaging to improve the detection rate of [68Ga]PSMA I&T PET/CT in patients with biochemical recurrence or prostate-specific antigen persistence after primary therapy for prostate cancer
    58 schema:pagination 960-968
    59 schema:productId N16624cc7f34949bda7925a43bc29f96d
    60 N3dda7bb6fc1243c785075f3a71abf4ca
    61 N86b3026d1c1d412fb6ed1be8ecc03f90
    62 N8eb8110e4fff40d6985291fec9df30b2
    63 Na9f858bbce12477dae3f39785d2994c6
    64 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084020154
    65 https://doi.org/10.1007/s00259-017-3669-5
    66 schema:sdDatePublished 2019-04-11T10:37
    67 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    68 schema:sdPublisher Nb65ed65a76724426a175ddd73d8fbac1
    69 schema:url https://link.springer.com/10.1007%2Fs00259-017-3669-5
    70 sgo:license sg:explorer/license/
    71 sgo:sdDataset articles
    72 rdf:type schema:ScholarlyArticle
    73 N0f2ad4582ca54d6c90f71b93373d17ca rdf:first sg:person.0711655634.14
    74 rdf:rest N8c827f2cf30949fb8afb2a9a312230e7
    75 N0f3533e4c7a94c1bb66d0f369a8e0e94 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    76 schema:name Follow-Up Studies
    77 rdf:type schema:DefinedTerm
    78 N0f74bf1375964a8a95e5fe04c784a67c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    79 schema:name Humans
    80 rdf:type schema:DefinedTerm
    81 N16624cc7f34949bda7925a43bc29f96d schema:name dimensions_id
    82 schema:value pub.1084020154
    83 rdf:type schema:PropertyValue
    84 N238e7e368bce4718a6255c59eeb8c5d4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    85 schema:name Middle Aged
    86 rdf:type schema:DefinedTerm
    87 N2a3ea5e954a04c25a198aeea0cc517e5 schema:name Pharmaceutical Radiochemistry, Technische Universität München|, Garching, Germany
    88 rdf:type schema:Organization
    89 N2ab7ed9da6de4177b736662d37e1e1c9 schema:volumeNumber 44
    90 rdf:type schema:PublicationVolume
    91 N2e3b05cec0d14a7689908ae8721e1eee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    92 schema:name Aged
    93 rdf:type schema:DefinedTerm
    94 N3dda7bb6fc1243c785075f3a71abf4ca schema:name readcube_id
    95 schema:value 8af7b86b29327634fb03e99f5a806fb1fb8f08831f8dd593797e3e175ff0b3ff
    96 rdf:type schema:PropertyValue
    97 N443328bed18340d78bcb2b7728a9172e rdf:first sg:person.01255557253.85
    98 rdf:rest Nfc9a558ae37541aeb2fc831522a1fd99
    99 N46909c34368d49399563001b3dda2abb rdf:first sg:person.0600513360.81
    100 rdf:rest N0f2ad4582ca54d6c90f71b93373d17ca
    101 N4728dee4444d4c18b51c293cf8584ab4 rdf:first sg:person.012570150667.68
    102 rdf:rest N46909c34368d49399563001b3dda2abb
    103 N519f547a1b2d4c14a94395af8927b130 rdf:first sg:person.013240364207.17
    104 rdf:rest N4728dee4444d4c18b51c293cf8584ab4
    105 N56844a06e5e94e8382455c45f666e558 schema:issueNumber 6
    106 rdf:type schema:PublicationIssue
    107 N5711723152ed456292d54e6140409170 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Reference Standards
    109 rdf:type schema:DefinedTerm
    110 N725693e9adaf42dc8eba2e69064b68cb rdf:first sg:person.01225020511.95
    111 rdf:rest N7a07bd28f0c6492f92ca6a213c64e226
    112 N7a07bd28f0c6492f92ca6a213c64e226 rdf:first sg:person.0704554652.25
    113 rdf:rest rdf:nil
    114 N84dae3e51333448e84cec17d9005f7d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    115 schema:name Coordination Complexes
    116 rdf:type schema:DefinedTerm
    117 N853f5e4ab85345af8877e3e077b2361b rdf:first sg:person.01057176500.15
    118 rdf:rest N725693e9adaf42dc8eba2e69064b68cb
    119 N86b3026d1c1d412fb6ed1be8ecc03f90 schema:name doi
    120 schema:value 10.1007/s00259-017-3669-5
    121 rdf:type schema:PropertyValue
    122 N8936bba8b8c74270b6de4b8349d7f1d7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Retrospective Studies
    124 rdf:type schema:DefinedTerm
    125 N8c827f2cf30949fb8afb2a9a312230e7 rdf:first sg:person.0660437663.32
    126 rdf:rest N443328bed18340d78bcb2b7728a9172e
    127 N8eb8110e4fff40d6985291fec9df30b2 schema:name nlm_unique_id
    128 schema:value 101140988
    129 rdf:type schema:PropertyValue
    130 Na00d4c3e40574a24af75ed4c698a218f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Male
    132 rdf:type schema:DefinedTerm
    133 Na4f41a2c534141a797ff93c72bd57fbf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Positron Emission Tomography Computed Tomography
    135 rdf:type schema:DefinedTerm
    136 Na9f858bbce12477dae3f39785d2994c6 schema:name pubmed_id
    137 schema:value 28280856
    138 rdf:type schema:PropertyValue
    139 Nb5ffc83b7f404047a515fcbc8b72685d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    140 schema:name Aged, 80 and over
    141 rdf:type schema:DefinedTerm
    142 Nb65ed65a76724426a175ddd73d8fbac1 schema:name Springer Nature - SN SciGraph project
    143 rdf:type schema:Organization
    144 Nba72792e7a9b47aaa39cc2e4bc182a45 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Image Processing, Computer-Assisted
    146 rdf:type schema:DefinedTerm
    147 Nbc01badf234f44e7a9c1a2710225e108 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    148 schema:name Recurrence
    149 rdf:type schema:DefinedTerm
    150 Nbf3594e1e6ab46e7a0eca67e9a98d1a2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    151 schema:name Oligopeptides
    152 rdf:type schema:DefinedTerm
    153 Nc3d60a350e0d4a21a2db9cad79787dda schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    154 schema:name Time Factors
    155 rdf:type schema:DefinedTerm
    156 Nc7a55bd02e2f4d30a654cbf0a187f770 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    157 schema:name Prostatic Neoplasms
    158 rdf:type schema:DefinedTerm
    159 Ncc068d0483654896a1e7f6f522cbe817 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    160 schema:name Prostate-Specific Antigen
    161 rdf:type schema:DefinedTerm
    162 Nfc9a558ae37541aeb2fc831522a1fd99 rdf:first sg:person.0741035645.53
    163 rdf:rest N853f5e4ab85345af8877e3e077b2361b
    164 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    165 schema:name Medical and Health Sciences
    166 rdf:type schema:DefinedTerm
    167 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    168 schema:name Oncology and Carcinogenesis
    169 rdf:type schema:DefinedTerm
    170 sg:journal.1297401 schema:issn 1619-7070
    171 1619-7089
    172 schema:name European Journal of Nuclear Medicine and Molecular Imaging
    173 rdf:type schema:Periodical
    174 sg:person.01057176500.15 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    175 schema:familyName Ross
    176 schema:givenName Tobias L.
    177 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057176500.15
    178 rdf:type schema:Person
    179 sg:person.01225020511.95 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    180 schema:familyName Bengel
    181 schema:givenName Frank M.
    182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01225020511.95
    183 rdf:type schema:Person
    184 sg:person.01255557253.85 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    185 schema:familyName Christiansen
    186 schema:givenName Hans
    187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01255557253.85
    188 rdf:type schema:Person
    189 sg:person.012570150667.68 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    190 schema:familyName Nordlohne
    191 schema:givenName Stefan
    192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012570150667.68
    193 rdf:type schema:Person
    194 sg:person.013240364207.17 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    195 schema:familyName Schmuck
    196 schema:givenName Sebastian
    197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013240364207.17
    198 rdf:type schema:Person
    199 sg:person.0600513360.81 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    200 schema:familyName von Klot
    201 schema:givenName Christoph-A.
    202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0600513360.81
    203 rdf:type schema:Person
    204 sg:person.0660437663.32 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    205 schema:familyName Sohns
    206 schema:givenName Jan M.
    207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0660437663.32
    208 rdf:type schema:Person
    209 sg:person.0704554652.25 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    210 schema:familyName Derlin
    211 schema:givenName Thorsten
    212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0704554652.25
    213 rdf:type schema:Person
    214 sg:person.0711655634.14 schema:affiliation https://www.grid.ac/institutes/grid.10423.34
    215 schema:familyName Henkenberens
    216 schema:givenName Christoph
    217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711655634.14
    218 rdf:type schema:Person
    219 sg:person.0741035645.53 schema:affiliation N2a3ea5e954a04c25a198aeea0cc517e5
    220 schema:familyName Wester
    221 schema:givenName Hans-Jürgen
    222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0741035645.53
    223 rdf:type schema:Person
    224 sg:pub.10.1007/s00259-009-1253-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021793169
    225 https://doi.org/10.1007/s00259-009-1253-3
    226 rdf:type schema:CreativeWork
    227 sg:pub.10.1007/s00259-012-2298-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051179630
    228 https://doi.org/10.1007/s00259-012-2298-2
    229 rdf:type schema:CreativeWork
    230 sg:pub.10.1007/s00259-014-2949-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017806742
    231 https://doi.org/10.1007/s00259-014-2949-6
    232 rdf:type schema:CreativeWork
    233 sg:pub.10.1007/s00259-015-3251-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1002910250
    234 https://doi.org/10.1007/s00259-015-3251-y
    235 rdf:type schema:CreativeWork
    236 sg:pub.10.1007/s00259-016-3419-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048991451
    237 https://doi.org/10.1007/s00259-016-3419-0
    238 rdf:type schema:CreativeWork
    239 sg:pub.10.1007/s00259-016-3572-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053705049
    240 https://doi.org/10.1007/s00259-016-3572-5
    241 rdf:type schema:CreativeWork
    242 sg:pub.10.1007/s00259-016-3573-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048073054
    243 https://doi.org/10.1007/s00259-016-3573-4
    244 rdf:type schema:CreativeWork
    245 sg:pub.10.1007/s00330-016-4308-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025076096
    246 https://doi.org/10.1007/s00330-016-4308-4
    247 rdf:type schema:CreativeWork
    248 sg:pub.10.1186/s40644-016-0072-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023676471
    249 https://doi.org/10.1186/s40644-016-0072-6
    250 rdf:type schema:CreativeWork
    251 sg:pub.10.1186/s40658-014-0099-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048456590
    252 https://doi.org/10.1186/s40658-014-0099-3
    253 rdf:type schema:CreativeWork
    254 https://app.dimensions.ai/details/publication/pub.1074874261 schema:CreativeWork
    255 https://app.dimensions.ai/details/publication/pub.1078691145 schema:CreativeWork
    256 https://doi.org/10.1016/j.nucmedbio.2013.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052348089
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1016/j.urolonc.2015.09.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027743444
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1016/s0090-4295(02)02411-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001775369
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1016/s0140-6736(14)61947-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042194391
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1016/s0360-3016(97)00002-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019618944
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1097/rlu.0000000000000594 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013246604
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1097/rlu.0000000000001273 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035439478
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1200/jco.2003.01.102 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064203287
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.2967/jnumed.115.154153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030714440
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.2967/jnumed.115.156133 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042074013
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.2967/jnumed.115.158550 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021081752
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.2967/jnumed.115.168443 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070928389
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.2967/jnumed.116.173492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070928492
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.2967/jnumed.116.179739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070928600
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.2967/jnumed.116.185538 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070928679
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.3322/caac.21262 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013257560
    287 rdf:type schema:CreativeWork
    288 https://www.grid.ac/institutes/grid.10423.34 schema:alternateName Hannover Medical School
    289 schema:name Department of Nuclear Medicine, Hannover Medical School, Carl-Neuberg-Str. 1, D-30625, Hannover, Germany
    290 Department of Radiation Oncology, Hannover Medical School, Hannover, Germany
    291 Department of Urology and Urologic Oncology, Hannover Medical School, Hannover, Germany
    292 rdf:type schema:Organization
     




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


    ...