Intraoperative detection of 18F-FDG-avid tissue sites using the increased probe counting efficiency of the K-alpha probe design and variance-based statistical ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-12

AUTHORS

Stephen P Povoski, Gregg J Chapman, Douglas A Murrey, Robert Lee, Edward W Martin, Nathan C Hall

ABSTRACT

BACKGROUND: Intraoperative detection of (18)F-FDG-avid tissue sites during 18F-FDG-directed surgery can be very challenging when utilizing gamma detection probes that rely on a fixed target-to-background (T/B) ratio (ratiometric threshold) for determination of probe positivity. The purpose of our study was to evaluate the counting efficiency and the success rate of in situ intraoperative detection of (18)F-FDG-avid tissue sites (using the three-sigma statistical threshold criteria method and the ratiometric threshold criteria method) for three different gamma detection probe systems. METHODS: Of 58 patients undergoing (18)F-FDG-directed surgery for known or suspected malignancy using gamma detection probes, we identified nine (18)F-FDG-avid tissue sites (from amongst seven patients) that were seen on same-day preoperative diagnostic PET/CT imaging, and for which each (18)F-FDG-avid tissue site underwent attempted in situ intraoperative detection concurrently using three gamma detection probe systems (K-alpha probe, and two commercially-available PET-probe systems), and then were subsequently surgical excised. RESULTS: The mean relative probe counting efficiency ratio was 6.9 (± 4.4, range 2.2-15.4) for the K-alpha probe, as compared to 1.5 (± 0.3, range 1.0-2.1) and 1.0 (± 0, range 1.0-1.0), respectively, for two commercially-available PET-probe systems (P < 0.001). Successful in situ intraoperative detection of 18F-FDG-avid tissue sites was more frequently accomplished with each of the three gamma detection probes tested by using the three-sigma statistical threshold criteria method than by using the ratiometric threshold criteria method, specifically with the three-sigma statistical threshold criteria method being significantly better than the ratiometric threshold criteria method for determining probe positivity for the K-alpha probe (P = 0.05). CONCLUSIONS: Our results suggest that the improved probe counting efficiency of the K-alpha probe design used in conjunction with the three-sigma statistical threshold criteria method can allow for improved detection of 18F-FDG-avid tissue sites when a low in situ T/B ratio is encountered. More... »

PAGES

98

References to SciGraph publications

  • 2016-12. PET-Probe: Evaluation of Technical Performance and Clinical Utility of a Handheld High-Energy Gamma Probe in Oncologic Surgery in ANNALS OF SURGICAL ONCOLOGY
  • 2006-12. Development of a positron-imaging detector with background rejection capability in ANNALS OF NUCLEAR MEDICINE
  • 2008-12. Multimodality approach of perioperative 18F-FDG PET/CT imaging, intraoperative 18F-FDG handheld gamma probe detection, and intraoperative ultrasound for tumor localization and verification of resection of all sites of hypermetabolic activity in a case of occult recurrent metastatic melanoma in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • 1996-05. Radioimmunoguided surgery for colorectal cancer in ANNALS OF SURGICAL ONCOLOGY
  • 2009-12. A comprehensive overview of radioguided surgery using gamma detection probe technology in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • 1996-05. Intra-abdominal patterns of disease dissemination in colorectal cancer identified using radioimmunoguided surgery in DISEASES OF THE COLON & RECTUM
  • 2007-12. Combined approach of perioperative 18F-FDG PET/CT imaging and intraoperative 18F-FDG handheld gamma probe detection for tumor localization and verification of complete tumor resection in breast cancer in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • 2007-09-20. Positron detection for the intraoperative localisation of cancer deposits in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2011-12. Multimodal imaging and detection approach to 18F-FDG-directed surgery for patients with known or suspected malignancies: a comprehensive description of the specific methodology utilized in a single-institution cumulative retrospective experience in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • 2007-12. PET probe-guided surgery: applications and clinical protocol in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • 2004-05. On the logic of hypothesis testing in functional imaging in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2007-12. Combined use of preoperative 18F FDG-PET imaging and intraoperative gamma probe detection for accurate assessment of tumor recurrence in patients with colorectal cancer in WORLD JOURNAL OF SURGICAL ONCOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/1471-2407-13-98

    DOI

    http://dx.doi.org/10.1186/1471-2407-13-98

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045984823

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23496877


    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": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Aged, 80 and over", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Analysis of Variance", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Fluorodeoxyglucose F18", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "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": "Neoplasms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Pilot Projects", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Positron-Emission Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prospective Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Radiopharmaceuticals", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "The Ohio State University Wexner Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.412332.5", 
              "name": [
                "Division of Surgical Oncology, Department of Surgery, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Povoski", 
            "givenName": "Stephen P", 
            "id": "sg:person.01240351036.37", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240351036.37"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Ohio State University", 
              "id": "https://www.grid.ac/institutes/grid.261331.4", 
              "name": [
                "Department of Electrical and Computer Engineering, The Ohio State University, 43210, Columbus, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Chapman", 
            "givenName": "Gregg J", 
            "id": "sg:person.0633507710.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633507710.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Ohio State University Wexner Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.412332.5", 
              "name": [
                "Department of Radiology, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Murrey", 
            "givenName": "Douglas A", 
            "id": "sg:person.01223770416.08", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223770416.08"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Ohio State University", 
              "id": "https://www.grid.ac/institutes/grid.261331.4", 
              "name": [
                "Department of Electrical and Computer Engineering, The Ohio State University, 43210, Columbus, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Lee", 
            "givenName": "Robert", 
            "id": "sg:person.0747736310.22", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747736310.22"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Ohio State University Wexner Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.412332.5", 
              "name": [
                "Division of Surgical Oncology, Department of Surgery, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Martin", 
            "givenName": "Edward W", 
            "id": "sg:person.01165001257.49", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165001257.49"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "The Ohio State University Wexner Medical Center", 
              "id": "https://www.grid.ac/institutes/grid.412332.5", 
              "name": [
                "Department of Radiology, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hall", 
            "givenName": "Nathan C", 
            "id": "sg:person.01050552657.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050552657.53"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1007/s00259-003-1387-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006569671", 
              "https://doi.org/10.1007/s00259-003-1387-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1095-0397(00)00052-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006683619"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jso.20869", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006878530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ygyno.2008.04.026", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008325969"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0002-9610(99)80295-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011084950"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mlg.0b013e3181845738", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013680314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mlg.0b013e3181845738", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013680314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/mlg.0b013e3181845738", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013680314"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-5-65", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014052158", 
              "https://doi.org/10.1186/1477-7819-5-65"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3109/07357909609076901", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014107572"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1006/jsre.2001.6092", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017634420"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-5-80", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018229787", 
              "https://doi.org/10.1186/1477-7819-5-80"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jso.20862", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020599848"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02306288", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022518226", 
              "https://doi.org/10.1007/bf02306288"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02306288", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022518226", 
              "https://doi.org/10.1007/bf02306288"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02984676", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023768400", 
              "https://doi.org/10.1007/bf02984676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02984676", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023768400", 
              "https://doi.org/10.1007/bf02984676"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-007-0430-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024185028", 
              "https://doi.org/10.1007/s00259-007-0430-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-007-0430-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1024185028", 
              "https://doi.org/10.1007/s00259-007-0430-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0002-9610(98)00192-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026520603"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/aso.2006.05.047", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026604705", 
              "https://doi.org/10.1245/aso.2006.05.047"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-9-152", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026748087", 
              "https://doi.org/10.1186/1477-7819-9-152"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-6-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028600814", 
              "https://doi.org/10.1186/1477-7819-6-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1586/17434440.5.6.663", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030783618"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.athoracsur.2008.03.072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031987392"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-7-11", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036762004", 
              "https://doi.org/10.1186/1477-7819-7-11"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02058702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037984530", 
              "https://doi.org/10.1007/bf02058702"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1007/bf02058702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037984530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1007/bf02058702", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037984530"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1477-7819-5-143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042296217", 
              "https://doi.org/10.1186/1477-7819-5-143"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1586/erd.10.33", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047598211"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0039-6060(05)80029-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048195783"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1021/ac60259a007", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1055055232"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1080/01621459.1985.10477119", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1058303034"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074823733", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1077454212", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2310/7290.2009.00033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078023649"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.2310/7290.2009.00033", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1078023649"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2013-12", 
        "datePublishedReg": "2013-12-01", 
        "description": "BACKGROUND: Intraoperative detection of (18)F-FDG-avid tissue sites during 18F-FDG-directed surgery can be very challenging when utilizing gamma detection probes that rely on a fixed target-to-background (T/B) ratio (ratiometric threshold) for determination of probe positivity. The purpose of our study was to evaluate the counting efficiency and the success rate of in situ intraoperative detection of (18)F-FDG-avid tissue sites (using the three-sigma statistical threshold criteria method and the ratiometric threshold criteria method) for three different gamma detection probe systems.\nMETHODS: Of 58 patients undergoing (18)F-FDG-directed surgery for known or suspected malignancy using gamma detection probes, we identified nine (18)F-FDG-avid tissue sites (from amongst seven patients) that were seen on same-day preoperative diagnostic PET/CT imaging, and for which each (18)F-FDG-avid tissue site underwent attempted in situ intraoperative detection concurrently using three gamma detection probe systems (K-alpha probe, and two commercially-available PET-probe systems), and then were subsequently surgical excised.\nRESULTS: The mean relative probe counting efficiency ratio was 6.9 (\u00b1 4.4, range 2.2-15.4) for the K-alpha probe, as compared to 1.5 (\u00b1 0.3, range 1.0-2.1) and 1.0 (\u00b1 0, range 1.0-1.0), respectively, for two commercially-available PET-probe systems (P < 0.001). Successful in situ intraoperative detection of 18F-FDG-avid tissue sites was more frequently accomplished with each of the three gamma detection probes tested by using the three-sigma statistical threshold criteria method than by using the ratiometric threshold criteria method, specifically with the three-sigma statistical threshold criteria method being significantly better than the ratiometric threshold criteria method for determining probe positivity for the K-alpha probe (P = 0.05).\nCONCLUSIONS: Our results suggest that the improved probe counting efficiency of the K-alpha probe design used in conjunction with the three-sigma statistical threshold criteria method can allow for improved detection of 18F-FDG-avid tissue sites when a low in situ T/B ratio is encountered.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/1471-2407-13-98", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1024632", 
            "issn": [
              "1471-2407"
            ], 
            "name": "BMC Cancer", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "13"
          }
        ], 
        "name": "Intraoperative detection of 18F-FDG-avid tissue sites using the increased probe counting efficiency of the K-alpha probe design and variance-based statistical analysis with the three-sigma criteria", 
        "pagination": "98", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "db0b89c716a63c2866fb63ae473beeb05509b1b874306e4dd5123f7a47430198"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "23496877"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100967800"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/1471-2407-13-98"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1045984823"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/1471-2407-13-98", 
          "https://app.dimensions.ai/details/publication/pub.1045984823"
        ], 
        "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_00000515.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1186%2F1471-2407-13-98"
      }
    ]
     

    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.10.1186/1471-2407-13-98'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-98'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-98'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1471-2407-13-98'


     

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

    266 TRIPLES      21 PREDICATES      74 URIs      35 LITERALS      23 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/1471-2407-13-98 schema:about N31592193c88c46cabe4a0c1559fa2937
    2 N44289c0a8029460995f2a9af987a6156
    3 N518b917fd787455b8082597bf573dc1d
    4 N61ab6c727b2f41b8b346ad3d4e254dfd
    5 N678bd5b271f64dc2ae7d7adb3d7d0f8a
    6 N6846632030d640dd9d9b3ad1b48a3a46
    7 N78ac87fe1ace439494d1daea2bf0ee0f
    8 N8a4baeede76646cd965f4bee6bb7e21e
    9 N96a455bd89894e7280e4ed652e586750
    10 Nb4a150cfaed0432590e8878e7ea3f401
    11 Nb575979055504fe7949c0a7b3be3af36
    12 Nbfe8d9683869416fa5a26f95527400bf
    13 Ne1f87f303db3416f879b4ec96d58780a
    14 Ne51e347dcca94fab80dc16123ec33f46
    15 anzsrc-for:11
    16 anzsrc-for:1103
    17 schema:author N62ee2eeb197644dea855bc3c6a17dfea
    18 schema:citation sg:pub.10.1007/bf02058702
    19 sg:pub.10.1007/bf02306288
    20 sg:pub.10.1007/bf02984676
    21 sg:pub.10.1007/s00259-003-1387-7
    22 sg:pub.10.1007/s00259-007-0430-5
    23 sg:pub.10.1186/1477-7819-5-143
    24 sg:pub.10.1186/1477-7819-5-65
    25 sg:pub.10.1186/1477-7819-5-80
    26 sg:pub.10.1186/1477-7819-6-1
    27 sg:pub.10.1186/1477-7819-7-11
    28 sg:pub.10.1186/1477-7819-9-152
    29 sg:pub.10.1245/aso.2006.05.047
    30 https://app.dimensions.ai/details/publication/pub.1074823733
    31 https://app.dimensions.ai/details/publication/pub.1077454212
    32 https://doi.org/10.1002/jso.20862
    33 https://doi.org/10.1002/jso.20869
    34 https://doi.org/10.1006/jsre.2001.6092
    35 https://doi.org/10.1007/bf02058702
    36 https://doi.org/10.1016/j.athoracsur.2008.03.072
    37 https://doi.org/10.1016/j.ygyno.2008.04.026
    38 https://doi.org/10.1016/s0002-9610(98)00192-5
    39 https://doi.org/10.1016/s0002-9610(99)80295-5
    40 https://doi.org/10.1016/s0039-6060(05)80029-7
    41 https://doi.org/10.1016/s1095-0397(00)00052-2
    42 https://doi.org/10.1021/ac60259a007
    43 https://doi.org/10.1080/01621459.1985.10477119
    44 https://doi.org/10.1097/mlg.0b013e3181845738
    45 https://doi.org/10.1586/17434440.5.6.663
    46 https://doi.org/10.1586/erd.10.33
    47 https://doi.org/10.2310/7290.2009.00033
    48 https://doi.org/10.3109/07357909609076901
    49 schema:datePublished 2013-12
    50 schema:datePublishedReg 2013-12-01
    51 schema:description BACKGROUND: Intraoperative detection of (18)F-FDG-avid tissue sites during 18F-FDG-directed surgery can be very challenging when utilizing gamma detection probes that rely on a fixed target-to-background (T/B) ratio (ratiometric threshold) for determination of probe positivity. The purpose of our study was to evaluate the counting efficiency and the success rate of in situ intraoperative detection of (18)F-FDG-avid tissue sites (using the three-sigma statistical threshold criteria method and the ratiometric threshold criteria method) for three different gamma detection probe systems. METHODS: Of 58 patients undergoing (18)F-FDG-directed surgery for known or suspected malignancy using gamma detection probes, we identified nine (18)F-FDG-avid tissue sites (from amongst seven patients) that were seen on same-day preoperative diagnostic PET/CT imaging, and for which each (18)F-FDG-avid tissue site underwent attempted in situ intraoperative detection concurrently using three gamma detection probe systems (K-alpha probe, and two commercially-available PET-probe systems), and then were subsequently surgical excised. RESULTS: The mean relative probe counting efficiency ratio was 6.9 (± 4.4, range 2.2-15.4) for the K-alpha probe, as compared to 1.5 (± 0.3, range 1.0-2.1) and 1.0 (± 0, range 1.0-1.0), respectively, for two commercially-available PET-probe systems (P < 0.001). Successful in situ intraoperative detection of 18F-FDG-avid tissue sites was more frequently accomplished with each of the three gamma detection probes tested by using the three-sigma statistical threshold criteria method than by using the ratiometric threshold criteria method, specifically with the three-sigma statistical threshold criteria method being significantly better than the ratiometric threshold criteria method for determining probe positivity for the K-alpha probe (P = 0.05). CONCLUSIONS: Our results suggest that the improved probe counting efficiency of the K-alpha probe design used in conjunction with the three-sigma statistical threshold criteria method can allow for improved detection of 18F-FDG-avid tissue sites when a low in situ T/B ratio is encountered.
    52 schema:genre research_article
    53 schema:inLanguage en
    54 schema:isAccessibleForFree true
    55 schema:isPartOf N5e63f7939fc248f1aceb2d55b3ab4cde
    56 Nf27315395c6648ae921eca6065bdb2f9
    57 sg:journal.1024632
    58 schema:name Intraoperative detection of 18F-FDG-avid tissue sites using the increased probe counting efficiency of the K-alpha probe design and variance-based statistical analysis with the three-sigma criteria
    59 schema:pagination 98
    60 schema:productId N44e62eb7105c48b08f789eb82f0653c4
    61 N765b2989c9d7488e9d0a6788af2fb426
    62 N8bdc04cdad62404aac319aab83287938
    63 N9f32e6b971f14108b12638160d6cd208
    64 Na9820b5f705f469bafa52df342c1ef62
    65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045984823
    66 https://doi.org/10.1186/1471-2407-13-98
    67 schema:sdDatePublished 2019-04-10T17:32
    68 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    69 schema:sdPublisher N1225882b4bfb4a22a76efcc555ea343f
    70 schema:url http://link.springer.com/10.1186%2F1471-2407-13-98
    71 sgo:license sg:explorer/license/
    72 sgo:sdDataset articles
    73 rdf:type schema:ScholarlyArticle
    74 N1225882b4bfb4a22a76efcc555ea343f schema:name Springer Nature - SN SciGraph project
    75 rdf:type schema:Organization
    76 N31592193c88c46cabe4a0c1559fa2937 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    77 schema:name Male
    78 rdf:type schema:DefinedTerm
    79 N412bebb84bcd4c0d99f62983fb04466f rdf:first sg:person.01165001257.49
    80 rdf:rest N6aaf6adef19f4fb9b7ad9d96b2729346
    81 N432f535d99a54b35be6e530fa6ff980e rdf:first sg:person.0747736310.22
    82 rdf:rest N412bebb84bcd4c0d99f62983fb04466f
    83 N44289c0a8029460995f2a9af987a6156 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    84 schema:name Pilot Projects
    85 rdf:type schema:DefinedTerm
    86 N44e62eb7105c48b08f789eb82f0653c4 schema:name nlm_unique_id
    87 schema:value 100967800
    88 rdf:type schema:PropertyValue
    89 N518b917fd787455b8082597bf573dc1d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    90 schema:name Radiopharmaceuticals
    91 rdf:type schema:DefinedTerm
    92 N5e63f7939fc248f1aceb2d55b3ab4cde schema:issueNumber 1
    93 rdf:type schema:PublicationIssue
    94 N61ab6c727b2f41b8b346ad3d4e254dfd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    95 schema:name Positron-Emission Tomography
    96 rdf:type schema:DefinedTerm
    97 N62ee2eeb197644dea855bc3c6a17dfea rdf:first sg:person.01240351036.37
    98 rdf:rest N9d60e1fb43864af0baa265cc6854bc9d
    99 N678bd5b271f64dc2ae7d7adb3d7d0f8a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    100 schema:name Fluorodeoxyglucose F18
    101 rdf:type schema:DefinedTerm
    102 N6846632030d640dd9d9b3ad1b48a3a46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    103 schema:name Prospective Studies
    104 rdf:type schema:DefinedTerm
    105 N6aaf6adef19f4fb9b7ad9d96b2729346 rdf:first sg:person.01050552657.53
    106 rdf:rest rdf:nil
    107 N765b2989c9d7488e9d0a6788af2fb426 schema:name pubmed_id
    108 schema:value 23496877
    109 rdf:type schema:PropertyValue
    110 N78ac87fe1ace439494d1daea2bf0ee0f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Analysis of Variance
    112 rdf:type schema:DefinedTerm
    113 N8a4baeede76646cd965f4bee6bb7e21e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Aged, 80 and over
    115 rdf:type schema:DefinedTerm
    116 N8bdc04cdad62404aac319aab83287938 schema:name readcube_id
    117 schema:value db0b89c716a63c2866fb63ae473beeb05509b1b874306e4dd5123f7a47430198
    118 rdf:type schema:PropertyValue
    119 N96a455bd89894e7280e4ed652e586750 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    120 schema:name Middle Aged
    121 rdf:type schema:DefinedTerm
    122 N9d60e1fb43864af0baa265cc6854bc9d rdf:first sg:person.0633507710.61
    123 rdf:rest Ne11f743873114c8bb43f7d3e8fa03962
    124 N9f32e6b971f14108b12638160d6cd208 schema:name doi
    125 schema:value 10.1186/1471-2407-13-98
    126 rdf:type schema:PropertyValue
    127 Na9820b5f705f469bafa52df342c1ef62 schema:name dimensions_id
    128 schema:value pub.1045984823
    129 rdf:type schema:PropertyValue
    130 Nb4a150cfaed0432590e8878e7ea3f401 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Humans
    132 rdf:type schema:DefinedTerm
    133 Nb575979055504fe7949c0a7b3be3af36 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    134 schema:name Neoplasms
    135 rdf:type schema:DefinedTerm
    136 Nbfe8d9683869416fa5a26f95527400bf schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    137 schema:name Aged
    138 rdf:type schema:DefinedTerm
    139 Ne11f743873114c8bb43f7d3e8fa03962 rdf:first sg:person.01223770416.08
    140 rdf:rest N432f535d99a54b35be6e530fa6ff980e
    141 Ne1f87f303db3416f879b4ec96d58780a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    142 schema:name Adult
    143 rdf:type schema:DefinedTerm
    144 Ne51e347dcca94fab80dc16123ec33f46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Female
    146 rdf:type schema:DefinedTerm
    147 Nf27315395c6648ae921eca6065bdb2f9 schema:volumeNumber 13
    148 rdf:type schema:PublicationVolume
    149 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    150 schema:name Medical and Health Sciences
    151 rdf:type schema:DefinedTerm
    152 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
    153 schema:name Clinical Sciences
    154 rdf:type schema:DefinedTerm
    155 sg:journal.1024632 schema:issn 1471-2407
    156 schema:name BMC Cancer
    157 rdf:type schema:Periodical
    158 sg:person.01050552657.53 schema:affiliation https://www.grid.ac/institutes/grid.412332.5
    159 schema:familyName Hall
    160 schema:givenName Nathan C
    161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050552657.53
    162 rdf:type schema:Person
    163 sg:person.01165001257.49 schema:affiliation https://www.grid.ac/institutes/grid.412332.5
    164 schema:familyName Martin
    165 schema:givenName Edward W
    166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165001257.49
    167 rdf:type schema:Person
    168 sg:person.01223770416.08 schema:affiliation https://www.grid.ac/institutes/grid.412332.5
    169 schema:familyName Murrey
    170 schema:givenName Douglas A
    171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223770416.08
    172 rdf:type schema:Person
    173 sg:person.01240351036.37 schema:affiliation https://www.grid.ac/institutes/grid.412332.5
    174 schema:familyName Povoski
    175 schema:givenName Stephen P
    176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240351036.37
    177 rdf:type schema:Person
    178 sg:person.0633507710.61 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
    179 schema:familyName Chapman
    180 schema:givenName Gregg J
    181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0633507710.61
    182 rdf:type schema:Person
    183 sg:person.0747736310.22 schema:affiliation https://www.grid.ac/institutes/grid.261331.4
    184 schema:familyName Lee
    185 schema:givenName Robert
    186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747736310.22
    187 rdf:type schema:Person
    188 sg:pub.10.1007/bf02058702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037984530
    189 https://doi.org/10.1007/bf02058702
    190 rdf:type schema:CreativeWork
    191 sg:pub.10.1007/bf02306288 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022518226
    192 https://doi.org/10.1007/bf02306288
    193 rdf:type schema:CreativeWork
    194 sg:pub.10.1007/bf02984676 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023768400
    195 https://doi.org/10.1007/bf02984676
    196 rdf:type schema:CreativeWork
    197 sg:pub.10.1007/s00259-003-1387-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006569671
    198 https://doi.org/10.1007/s00259-003-1387-7
    199 rdf:type schema:CreativeWork
    200 sg:pub.10.1007/s00259-007-0430-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024185028
    201 https://doi.org/10.1007/s00259-007-0430-5
    202 rdf:type schema:CreativeWork
    203 sg:pub.10.1186/1477-7819-5-143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042296217
    204 https://doi.org/10.1186/1477-7819-5-143
    205 rdf:type schema:CreativeWork
    206 sg:pub.10.1186/1477-7819-5-65 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014052158
    207 https://doi.org/10.1186/1477-7819-5-65
    208 rdf:type schema:CreativeWork
    209 sg:pub.10.1186/1477-7819-5-80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018229787
    210 https://doi.org/10.1186/1477-7819-5-80
    211 rdf:type schema:CreativeWork
    212 sg:pub.10.1186/1477-7819-6-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028600814
    213 https://doi.org/10.1186/1477-7819-6-1
    214 rdf:type schema:CreativeWork
    215 sg:pub.10.1186/1477-7819-7-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036762004
    216 https://doi.org/10.1186/1477-7819-7-11
    217 rdf:type schema:CreativeWork
    218 sg:pub.10.1186/1477-7819-9-152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026748087
    219 https://doi.org/10.1186/1477-7819-9-152
    220 rdf:type schema:CreativeWork
    221 sg:pub.10.1245/aso.2006.05.047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026604705
    222 https://doi.org/10.1245/aso.2006.05.047
    223 rdf:type schema:CreativeWork
    224 https://app.dimensions.ai/details/publication/pub.1074823733 schema:CreativeWork
    225 https://app.dimensions.ai/details/publication/pub.1077454212 schema:CreativeWork
    226 https://doi.org/10.1002/jso.20862 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020599848
    227 rdf:type schema:CreativeWork
    228 https://doi.org/10.1002/jso.20869 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006878530
    229 rdf:type schema:CreativeWork
    230 https://doi.org/10.1006/jsre.2001.6092 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017634420
    231 rdf:type schema:CreativeWork
    232 https://doi.org/10.1007/bf02058702 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037984530
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.athoracsur.2008.03.072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031987392
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/j.ygyno.2008.04.026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008325969
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/s0002-9610(98)00192-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026520603
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/s0002-9610(99)80295-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011084950
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1016/s0039-6060(05)80029-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048195783
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1016/s1095-0397(00)00052-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006683619
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1021/ac60259a007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1055055232
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1080/01621459.1985.10477119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1058303034
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1097/mlg.0b013e3181845738 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013680314
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1586/17434440.5.6.663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030783618
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1586/erd.10.33 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047598211
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.2310/7290.2009.00033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078023649
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.3109/07357909609076901 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014107572
    259 rdf:type schema:CreativeWork
    260 https://www.grid.ac/institutes/grid.261331.4 schema:alternateName The Ohio State University
    261 schema:name Department of Electrical and Computer Engineering, The Ohio State University, 43210, Columbus, OH, USA
    262 rdf:type schema:Organization
    263 https://www.grid.ac/institutes/grid.412332.5 schema:alternateName The Ohio State University Wexner Medical Center
    264 schema:name Department of Radiology, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA
    265 Division of Surgical Oncology, Department of Surgery, Arthur G. James Cancer Hospital and Richard J. Solove Research Institute and Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, 43210, Columbus, OH, USA
    266 rdf:type schema:Organization
     




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


    ...