Tumour markers and FDG PET/CT for prediction of disease relapse in patients with breast cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2011-02

AUTHORS

Laura Evangelista, Zora Baretta, Lorenzo Vinante, Anna Rita Cervino, Michele Gregianin, Cristina Ghiotto, Giorgio Saladini, Guido Sotti

ABSTRACT

PURPOSE: The aim of the study was to assess the role of CA 15.3, CT and positron emission tomography (PET)/CT in patients with breast cancer and suspected disease relapse after primary treatment. METHODS: We studied 111 consecutive patients (mean age 61 ± 12 years) with previous breast cancer, already treated and with clinical or biochemical suspicion of disease relapse. All patients underwent CT and (18)F-fluorodeoxyglucose (FDG) PET/CT. In all patients, the value of CA 15.3 was compared to PET/CT and CT. The final diagnosis of relapse was established by invasive and noninvasive follow-up and was compared with CA 15.3, CT and PET/CT results. Univariate and multivariate analyses were used to identify the independent predictors of disease relapse and receiver-operating characteristic (ROC) curve for the identification of optimal CA 15.3 cutoff. RESULTS: Of all patients, 40 (36%) showed an increased CA 15.3 value, CT was positive in 73 (66%), whereas at PET/CT imaging 64 (58%) showed positive findings for disease relapse. Of 40 patients with increased marker levels, 22 patients had positive CT and 30 positive PET/CT (55 vs 75%, p < 0.001). At the end of follow-up, recurrence occurred in 32 (29%) patients, 16 (50%) of whom showed high levels of CA 15.3. PET/CT predicted relapse in 26 (81%) patients, whereas CT correctly identified 23 (72%). At univariate analysis, recurrence was significantly associated with high CA 15.3 values (p < 0.05) and positive PET/CT (p < 0.005). At multivariable analysis only positive PET/CT remained an independent predictor of disease relapse (p < 0.05). ROC analysis showed an optimal cutoff point for CA 15.3 of 19.1 U/ml (AUC 0.65, p < 0.01) to individuate positive PET/CT. CONCLUSION: FDG PET/CT is more sensitive than CT and CA 15.3 in the evaluation of disease relapse. PET/CT might be considered a complementary imaging technique during follow-up in patients with breast cancer. More... »

PAGES

293-301

References to SciGraph publications

  • 2004-06. PET/CT and breast cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 1989-02. [18F]Fluorodeoxyglucose scintigraphy in diagnosis and follow up of treatment in advanced breast cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2004-06. FDG PET and tumour markers in the diagnosis of recurrent and metastatic breast cancer in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2002-10. FDG uptake in breast cancer: correlation with biological and clinical prognostic parameters in EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
  • 2003-03. [18F]-fluorodeoxyglucose positron emission tomography in patients with suspected recurrence of breast cancer in JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s00259-010-1626-7

    DOI

    http://dx.doi.org/10.1007/s00259-010-1626-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1032631008

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/20882280


    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": "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": "Biomarkers, Tumor", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Breast Neoplasms", 
            "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": "Positron-Emission Tomography", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Predictive Value of Tests", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Prognosis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Recurrence", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Tomography, X-Ray Computed", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "University of Naples Federico II", 
              "id": "https://www.grid.ac/institutes/grid.4691.a", 
              "name": [
                "Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy", 
                "Departments of Biomorphological and Functional Imaging, University of Naples \u201cFederico II\u201d, Naples, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Evangelista", 
            "givenName": "Laura", 
            "id": "sg:person.0671213265.10", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671213265.10"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Istituto Oncologico Veneto", 
              "id": "https://www.grid.ac/institutes/grid.419546.b", 
              "name": [
                "Oncology Unit, Istituto Oncologico Veneto IOV - IRCCS, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Baretta", 
            "givenName": "Zora", 
            "id": "sg:person.01076132701.53", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076132701.53"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Vinante", 
            "givenName": "Lorenzo", 
            "id": "sg:person.01144246101.96", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144246101.96"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cervino", 
            "givenName": "Anna Rita", 
            "id": "sg:person.0737326465.48", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737326465.48"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gregianin", 
            "givenName": "Michele", 
            "id": "sg:person.01134533742.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134533742.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Istituto Oncologico Veneto", 
              "id": "https://www.grid.ac/institutes/grid.419546.b", 
              "name": [
                "Oncology Unit, Istituto Oncologico Veneto IOV - IRCCS, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ghiotto", 
            "givenName": "Cristina", 
            "id": "sg:person.01346434473.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346434473.13"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Saladini", 
            "givenName": "Giorgio", 
            "id": "sg:person.0775327676.04", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775327676.04"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sotti", 
            "givenName": "Guido", 
            "id": "sg:person.01126272350.47", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126272350.47"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0959-8049(01)00049-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000413037"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiographics.22.1.g02ja055", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005535750"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jjco/hyf052", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008957235"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejm199808063390601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010992357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejm199808063390601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010992357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejm199808063390601", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010992357"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00702620", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021574641", 
              "https://doi.org/10.1007/bf00702620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf00702620", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1021574641", 
              "https://doi.org/10.1007/bf00702620"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/92.14.1143", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027184958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1095-0397(00)00042-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027971955"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-004-1534-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030161208", 
              "https://doi.org/10.1007/s00259-004-1534-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.ejrad.2010.04.029", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035485688"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-002-0880-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037593762", 
              "https://doi.org/10.1007/s00259-002-0880-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rct.0000284394.83696.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037724872"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.rct.0000284394.83696.42", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037724872"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/radiology.210.3.r99mr43807", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048126592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2007.14.2364", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049142592"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00259-004-1536-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1051831875", 
              "https://doi.org/10.1007/s00259-004-1536-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/jama.271.20.1587", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1054156934"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmj.313.7058.665", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062777126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1136/bmj.313.7058.665", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1062777126"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2001.19.15.3516", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074857564"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1074874248", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1075085615", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1148/rg.e5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075125256"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00432-003-0424-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075274764", 
              "https://doi.org/10.1007/s00432-003-0424-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00432-003-0424-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1075274764", 
              "https://doi.org/10.1007/s00432-003-0424-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1078046727", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082907409", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083100707", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1083237976", 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2011-02", 
        "datePublishedReg": "2011-02-01", 
        "description": "PURPOSE: The aim of the study was to assess the role of CA 15.3, CT and positron emission tomography (PET)/CT in patients with breast cancer and suspected disease relapse after primary treatment.\nMETHODS: We studied 111 consecutive patients (mean age 61\u2009\u00b1\u200912 years) with previous breast cancer, already treated and with clinical or biochemical suspicion of disease relapse. All patients underwent CT and (18)F-fluorodeoxyglucose (FDG) PET/CT. In all patients, the value of CA 15.3 was compared to PET/CT and CT. The final diagnosis of relapse was established by invasive and noninvasive follow-up and was compared with CA 15.3, CT and PET/CT results. Univariate and multivariate analyses were used to identify the independent predictors of disease relapse and receiver-operating characteristic (ROC) curve for the identification of optimal CA 15.3 cutoff.\nRESULTS: Of all patients, 40 (36%) showed an increased CA 15.3 value, CT was positive in 73 (66%), whereas at PET/CT imaging 64 (58%) showed positive findings for disease relapse. Of 40 patients with increased marker levels, 22 patients had positive CT and 30 positive PET/CT (55 vs 75%, p\u2009<\u20090.001). At the end of follow-up, recurrence occurred in 32 (29%) patients, 16 (50%) of whom showed high levels of CA 15.3. PET/CT predicted relapse in 26 (81%) patients, whereas CT correctly identified 23 (72%). At univariate analysis, recurrence was significantly associated with high CA 15.3 values (p\u2009<\u20090.05) and positive PET/CT (p\u2009<\u20090.005). At multivariable analysis only positive PET/CT remained an independent predictor of disease relapse (p\u2009<\u20090.05). ROC analysis showed an optimal cutoff point for CA 15.3 of 19.1 U/ml (AUC 0.65, p\u2009<\u20090.01) to individuate positive PET/CT.\nCONCLUSION: FDG PET/CT is more sensitive than CT and CA 15.3 in the evaluation of disease relapse. PET/CT might be considered a complementary imaging technique during follow-up in patients with breast cancer.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s00259-010-1626-7", 
        "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": "2", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "38"
          }
        ], 
        "name": "Tumour markers and FDG PET/CT for prediction of disease relapse in patients with breast cancer", 
        "pagination": "293-301", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "9b739b5b9963d064c383b12768f50c619bcddc7bd0cb29614ed2ca0641e473b2"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "20882280"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "101140988"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s00259-010-1626-7"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1032631008"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s00259-010-1626-7", 
          "https://app.dimensions.ai/details/publication/pub.1032631008"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T00:16", 
        "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_8695_00000513.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1007%2Fs00259-010-1626-7"
      }
    ]
     

    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/s00259-010-1626-7'

    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/s00259-010-1626-7'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00259-010-1626-7'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00259-010-1626-7'


     

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

    266 TRIPLES      21 PREDICATES      69 URIs      36 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s00259-010-1626-7 schema:about N13ff3db56fae44809a88a5670c9f163f
    2 N3024dffe3d774346aff9c8e30af40418
    3 N3039b30d2c484ebbb666d28adf596e7c
    4 N549ba56a691242368282da2c153792fc
    5 N86ac96a19e2542b5acee390e09d017a0
    6 Na12a5571751149759c05f5d020270246
    7 Nc4fe38c5aea042ffb252d8c545372990
    8 Nc6797cc05afc475cb3b7b5ee54d2491c
    9 Nc8dea516e1cc41ee9363b9d9973eac01
    10 Ncff21d2930814031b8b531bf9258e7ad
    11 Ned054d09e2ea429da9158aa7747eb2ca
    12 Nf173c2ac6886447f86565da329318c07
    13 Nfc8deaf49f3d43a4a586b8fd0060758f
    14 Nfdbf0486697a40689ce51ddc7b4d90ca
    15 Nfe386ca7f3ef47eabfdf1b2eb09e5d46
    16 anzsrc-for:11
    17 anzsrc-for:1112
    18 schema:author N6e0a3abf811d4599b948ba8be8541369
    19 schema:citation sg:pub.10.1007/bf00702620
    20 sg:pub.10.1007/s00259-002-0880-8
    21 sg:pub.10.1007/s00259-004-1534-9
    22 sg:pub.10.1007/s00259-004-1536-7
    23 sg:pub.10.1007/s00432-003-0424-z
    24 https://app.dimensions.ai/details/publication/pub.1074874248
    25 https://app.dimensions.ai/details/publication/pub.1075085615
    26 https://app.dimensions.ai/details/publication/pub.1078046727
    27 https://app.dimensions.ai/details/publication/pub.1082907409
    28 https://app.dimensions.ai/details/publication/pub.1083100707
    29 https://app.dimensions.ai/details/publication/pub.1083237976
    30 https://doi.org/10.1001/jama.271.20.1587
    31 https://doi.org/10.1016/j.ejrad.2010.04.029
    32 https://doi.org/10.1016/s0959-8049(01)00049-1
    33 https://doi.org/10.1016/s1095-0397(00)00042-x
    34 https://doi.org/10.1056/nejm199808063390601
    35 https://doi.org/10.1093/jjco/hyf052
    36 https://doi.org/10.1093/jnci/92.14.1143
    37 https://doi.org/10.1097/01.rct.0000284394.83696.42
    38 https://doi.org/10.1136/bmj.313.7058.665
    39 https://doi.org/10.1148/radiographics.22.1.g02ja055
    40 https://doi.org/10.1148/radiology.210.3.r99mr43807
    41 https://doi.org/10.1148/rg.e5
    42 https://doi.org/10.1200/jco.2001.19.15.3516
    43 https://doi.org/10.1200/jco.2007.14.2364
    44 schema:datePublished 2011-02
    45 schema:datePublishedReg 2011-02-01
    46 schema:description PURPOSE: The aim of the study was to assess the role of CA 15.3, CT and positron emission tomography (PET)/CT in patients with breast cancer and suspected disease relapse after primary treatment. METHODS: We studied 111 consecutive patients (mean age 61 ± 12 years) with previous breast cancer, already treated and with clinical or biochemical suspicion of disease relapse. All patients underwent CT and (18)F-fluorodeoxyglucose (FDG) PET/CT. In all patients, the value of CA 15.3 was compared to PET/CT and CT. The final diagnosis of relapse was established by invasive and noninvasive follow-up and was compared with CA 15.3, CT and PET/CT results. Univariate and multivariate analyses were used to identify the independent predictors of disease relapse and receiver-operating characteristic (ROC) curve for the identification of optimal CA 15.3 cutoff. RESULTS: Of all patients, 40 (36%) showed an increased CA 15.3 value, CT was positive in 73 (66%), whereas at PET/CT imaging 64 (58%) showed positive findings for disease relapse. Of 40 patients with increased marker levels, 22 patients had positive CT and 30 positive PET/CT (55 vs 75%, p < 0.001). At the end of follow-up, recurrence occurred in 32 (29%) patients, 16 (50%) of whom showed high levels of CA 15.3. PET/CT predicted relapse in 26 (81%) patients, whereas CT correctly identified 23 (72%). At univariate analysis, recurrence was significantly associated with high CA 15.3 values (p < 0.05) and positive PET/CT (p < 0.005). At multivariable analysis only positive PET/CT remained an independent predictor of disease relapse (p < 0.05). ROC analysis showed an optimal cutoff point for CA 15.3 of 19.1 U/ml (AUC 0.65, p < 0.01) to individuate positive PET/CT. CONCLUSION: FDG PET/CT is more sensitive than CT and CA 15.3 in the evaluation of disease relapse. PET/CT might be considered a complementary imaging technique during follow-up in patients with breast cancer.
    47 schema:genre research_article
    48 schema:inLanguage en
    49 schema:isAccessibleForFree false
    50 schema:isPartOf N795858db468c41a8b9f44c37ad389483
    51 Necadbbb5e153420bb30223313f0f419f
    52 sg:journal.1297401
    53 schema:name Tumour markers and FDG PET/CT for prediction of disease relapse in patients with breast cancer
    54 schema:pagination 293-301
    55 schema:productId N1b47cafb3e5f4a0e968c0c4871d77a80
    56 N7131b7ced9b841099945ad03ea94fc0d
    57 N7604ea9a6f03469f893e69bb131bf78c
    58 Nc158440598354554a94550dfb57b5409
    59 Ndc0aa0b79254428fbd7bb7c9b7f32ab7
    60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032631008
    61 https://doi.org/10.1007/s00259-010-1626-7
    62 schema:sdDatePublished 2019-04-11T00:16
    63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    64 schema:sdPublisher N373ace6988014b05a238726c48666d96
    65 schema:url http://link.springer.com/10.1007%2Fs00259-010-1626-7
    66 sgo:license sg:explorer/license/
    67 sgo:sdDataset articles
    68 rdf:type schema:ScholarlyArticle
    69 N13ff3db56fae44809a88a5670c9f163f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    70 schema:name Biomarkers, Tumor
    71 rdf:type schema:DefinedTerm
    72 N1b47cafb3e5f4a0e968c0c4871d77a80 schema:name dimensions_id
    73 schema:value pub.1032631008
    74 rdf:type schema:PropertyValue
    75 N1bd7672d739e45f49a5c6c436584c0ed rdf:first sg:person.01076132701.53
    76 rdf:rest N73be404ffa8641df81e1496bc8f5ded7
    77 N3024dffe3d774346aff9c8e30af40418 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    78 schema:name Prognosis
    79 rdf:type schema:DefinedTerm
    80 N3039b30d2c484ebbb666d28adf596e7c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    81 schema:name Fluorodeoxyglucose F18
    82 rdf:type schema:DefinedTerm
    83 N373ace6988014b05a238726c48666d96 schema:name Springer Nature - SN SciGraph project
    84 rdf:type schema:Organization
    85 N3ea93b6f5f794dfab973bb72445e660c schema:name Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy
    86 rdf:type schema:Organization
    87 N477a1ef500234ffea4808d3d855718fb rdf:first sg:person.0737326465.48
    88 rdf:rest N5bfe4b51b4de4a1e82d4dab3647cd595
    89 N4c7ad958804e41a0a185deba0a7f344a schema:name Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy
    90 rdf:type schema:Organization
    91 N549ba56a691242368282da2c153792fc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    92 schema:name Adult
    93 rdf:type schema:DefinedTerm
    94 N58dab2e38709483dac3dc283d124b8a8 rdf:first sg:person.01126272350.47
    95 rdf:rest rdf:nil
    96 N5bfe4b51b4de4a1e82d4dab3647cd595 rdf:first sg:person.01134533742.61
    97 rdf:rest Neec4efcf4cee4cfdbfb7b2be65115690
    98 N6e0a3abf811d4599b948ba8be8541369 rdf:first sg:person.0671213265.10
    99 rdf:rest N1bd7672d739e45f49a5c6c436584c0ed
    100 N7131b7ced9b841099945ad03ea94fc0d schema:name nlm_unique_id
    101 schema:value 101140988
    102 rdf:type schema:PropertyValue
    103 N73be404ffa8641df81e1496bc8f5ded7 rdf:first sg:person.01144246101.96
    104 rdf:rest N477a1ef500234ffea4808d3d855718fb
    105 N7604ea9a6f03469f893e69bb131bf78c schema:name doi
    106 schema:value 10.1007/s00259-010-1626-7
    107 rdf:type schema:PropertyValue
    108 N795858db468c41a8b9f44c37ad389483 schema:issueNumber 2
    109 rdf:type schema:PublicationIssue
    110 N86ac96a19e2542b5acee390e09d017a0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Positron-Emission Tomography
    112 rdf:type schema:DefinedTerm
    113 Na12a5571751149759c05f5d020270246 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Breast Neoplasms
    115 rdf:type schema:DefinedTerm
    116 Nb75cf9d78c26475fa8fc5ecc33714e82 rdf:first sg:person.0775327676.04
    117 rdf:rest N58dab2e38709483dac3dc283d124b8a8
    118 Nbd288874539c4dfbba76043e7f64d579 schema:name Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy
    119 rdf:type schema:Organization
    120 Nc158440598354554a94550dfb57b5409 schema:name pubmed_id
    121 schema:value 20882280
    122 rdf:type schema:PropertyValue
    123 Nc4fe38c5aea042ffb252d8c545372990 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    124 schema:name Predictive Value of Tests
    125 rdf:type schema:DefinedTerm
    126 Nc6797cc05afc475cb3b7b5ee54d2491c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    127 schema:name Tomography, X-Ray Computed
    128 rdf:type schema:DefinedTerm
    129 Nc67b533572a2410382eeda5c45ce3d11 schema:name Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy
    130 rdf:type schema:Organization
    131 Nc8dea516e1cc41ee9363b9d9973eac01 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Male
    133 rdf:type schema:DefinedTerm
    134 Ncff21d2930814031b8b531bf9258e7ad schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Recurrence
    136 rdf:type schema:DefinedTerm
    137 Ndc0aa0b79254428fbd7bb7c9b7f32ab7 schema:name readcube_id
    138 schema:value 9b739b5b9963d064c383b12768f50c619bcddc7bd0cb29614ed2ca0641e473b2
    139 rdf:type schema:PropertyValue
    140 Neb78407490d84b869ee8338667a102cf schema:name Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy
    141 rdf:type schema:Organization
    142 Necadbbb5e153420bb30223313f0f419f schema:volumeNumber 38
    143 rdf:type schema:PublicationVolume
    144 Ned054d09e2ea429da9158aa7747eb2ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    145 schema:name Aged, 80 and over
    146 rdf:type schema:DefinedTerm
    147 Neec4efcf4cee4cfdbfb7b2be65115690 rdf:first sg:person.01346434473.13
    148 rdf:rest Nb75cf9d78c26475fa8fc5ecc33714e82
    149 Nf173c2ac6886447f86565da329318c07 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Middle Aged
    151 rdf:type schema:DefinedTerm
    152 Nfc8deaf49f3d43a4a586b8fd0060758f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    153 schema:name Humans
    154 rdf:type schema:DefinedTerm
    155 Nfdbf0486697a40689ce51ddc7b4d90ca schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Aged
    157 rdf:type schema:DefinedTerm
    158 Nfe386ca7f3ef47eabfdf1b2eb09e5d46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Female
    160 rdf:type schema:DefinedTerm
    161 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    162 schema:name Medical and Health Sciences
    163 rdf:type schema:DefinedTerm
    164 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    165 schema:name Oncology and Carcinogenesis
    166 rdf:type schema:DefinedTerm
    167 sg:journal.1297401 schema:issn 1619-7070
    168 1619-7089
    169 schema:name European Journal of Nuclear Medicine and Molecular Imaging
    170 rdf:type schema:Periodical
    171 sg:person.01076132701.53 schema:affiliation https://www.grid.ac/institutes/grid.419546.b
    172 schema:familyName Baretta
    173 schema:givenName Zora
    174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01076132701.53
    175 rdf:type schema:Person
    176 sg:person.01126272350.47 schema:affiliation Nbd288874539c4dfbba76043e7f64d579
    177 schema:familyName Sotti
    178 schema:givenName Guido
    179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01126272350.47
    180 rdf:type schema:Person
    181 sg:person.01134533742.61 schema:affiliation Neb78407490d84b869ee8338667a102cf
    182 schema:familyName Gregianin
    183 schema:givenName Michele
    184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01134533742.61
    185 rdf:type schema:Person
    186 sg:person.01144246101.96 schema:affiliation N4c7ad958804e41a0a185deba0a7f344a
    187 schema:familyName Vinante
    188 schema:givenName Lorenzo
    189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144246101.96
    190 rdf:type schema:Person
    191 sg:person.01346434473.13 schema:affiliation https://www.grid.ac/institutes/grid.419546.b
    192 schema:familyName Ghiotto
    193 schema:givenName Cristina
    194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346434473.13
    195 rdf:type schema:Person
    196 sg:person.0671213265.10 schema:affiliation https://www.grid.ac/institutes/grid.4691.a
    197 schema:familyName Evangelista
    198 schema:givenName Laura
    199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671213265.10
    200 rdf:type schema:Person
    201 sg:person.0737326465.48 schema:affiliation Nc67b533572a2410382eeda5c45ce3d11
    202 schema:familyName Cervino
    203 schema:givenName Anna Rita
    204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0737326465.48
    205 rdf:type schema:Person
    206 sg:person.0775327676.04 schema:affiliation N3ea93b6f5f794dfab973bb72445e660c
    207 schema:familyName Saladini
    208 schema:givenName Giorgio
    209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775327676.04
    210 rdf:type schema:Person
    211 sg:pub.10.1007/bf00702620 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021574641
    212 https://doi.org/10.1007/bf00702620
    213 rdf:type schema:CreativeWork
    214 sg:pub.10.1007/s00259-002-0880-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037593762
    215 https://doi.org/10.1007/s00259-002-0880-8
    216 rdf:type schema:CreativeWork
    217 sg:pub.10.1007/s00259-004-1534-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030161208
    218 https://doi.org/10.1007/s00259-004-1534-9
    219 rdf:type schema:CreativeWork
    220 sg:pub.10.1007/s00259-004-1536-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051831875
    221 https://doi.org/10.1007/s00259-004-1536-7
    222 rdf:type schema:CreativeWork
    223 sg:pub.10.1007/s00432-003-0424-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1075274764
    224 https://doi.org/10.1007/s00432-003-0424-z
    225 rdf:type schema:CreativeWork
    226 https://app.dimensions.ai/details/publication/pub.1074874248 schema:CreativeWork
    227 https://app.dimensions.ai/details/publication/pub.1075085615 schema:CreativeWork
    228 https://app.dimensions.ai/details/publication/pub.1078046727 schema:CreativeWork
    229 https://app.dimensions.ai/details/publication/pub.1082907409 schema:CreativeWork
    230 https://app.dimensions.ai/details/publication/pub.1083100707 schema:CreativeWork
    231 https://app.dimensions.ai/details/publication/pub.1083237976 schema:CreativeWork
    232 https://doi.org/10.1001/jama.271.20.1587 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054156934
    233 rdf:type schema:CreativeWork
    234 https://doi.org/10.1016/j.ejrad.2010.04.029 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035485688
    235 rdf:type schema:CreativeWork
    236 https://doi.org/10.1016/s0959-8049(01)00049-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000413037
    237 rdf:type schema:CreativeWork
    238 https://doi.org/10.1016/s1095-0397(00)00042-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027971955
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1056/nejm199808063390601 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010992357
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1093/jjco/hyf052 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008957235
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1093/jnci/92.14.1143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027184958
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1097/01.rct.0000284394.83696.42 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037724872
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1136/bmj.313.7058.665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062777126
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1148/radiographics.22.1.g02ja055 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005535750
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1148/radiology.210.3.r99mr43807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048126592
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1148/rg.e5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075125256
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1200/jco.2001.19.15.3516 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074857564
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1200/jco.2007.14.2364 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049142592
    259 rdf:type schema:CreativeWork
    260 https://www.grid.ac/institutes/grid.419546.b schema:alternateName Istituto Oncologico Veneto
    261 schema:name Oncology Unit, Istituto Oncologico Veneto IOV - IRCCS, Padova, Italy
    262 rdf:type schema:Organization
    263 https://www.grid.ac/institutes/grid.4691.a schema:alternateName University of Naples Federico II
    264 schema:name Departments of Biomorphological and Functional Imaging, University of Naples “Federico II”, Naples, Italy
    265 Radiotherapy and Nuclear Medicine Unit, Istituto Oncologico Veneto IOV - IRCCS, Via Gattamelata, 64, 35128, Padova, Italy
    266 rdf:type schema:Organization
     




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


    ...