Clinicopathological Factors and Nomograms Predicting Nonsentinel Lymph Node Metastases After Neoadjuvant Chemotherapy in Breast Cancer Patients View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2009-07

AUTHORS

P. Gimbergues, C. Abrial, X. Durando, G. Le Bouedec, F. Cachin, F. Penault-Llorca, M. A. Mouret-Reynier, F. Kwiatkowski, J. Maublant, A. Tchirkov, J. Dauplat

ABSTRACT

BACKGROUND: Studies have demonstrated the feasibility and accuracy of sentinel lymph node (SLN) biopsy after neoadjuvant chemotherapy (NAC) in breast cancer. Some SLN-positive patients have low risk of nonsentinel lymph node (non-SLN) involvement. Our goal was to determine clinicopathological factors correlating with the presence of non-SLN metastases in patients after NAC and to assess the validity of nomograms predicting additional axillary metastases. METHODS: Patients with infiltrating breast carcinoma (n = 132) were studied prospectively. All patients received NAC. At surgery, SLN biopsy followed by axillary lymph node dissection was performed. Lymphatic mapping was done using the isotope method. Fifty-one patients were SLN positive. RESULTS: In univariate analysis, tumor size (P = 0.016) and the size of SLN metastases (P = 0.0055) were significantly correlated with the presence of non-SLN metastases. In multivariate analysis, SLN macrometastases (P = 0.047) conferred significantly increased risk of non-SLN metastases. The Memorial Sloan-Kettering Cancer Center nomogram was not reliably predictive for non-SLN metastases (area under the receiver operating characteristic curve, AUC, of 0.542), whereas the MD Anderson (AUC 0.716) and Tenon scoring systems (AUC 0.778) were validated. CONCLUSION: Our results suggest that clinicopathological factors predicting non-SLN involvement in SLN-positive patients with and without NAC are essentially the same. The risk of involvement may be assessed using existing nomograms, but additional large prospective studies are needed to determine their accuracy in patients after NAC. More... »

PAGES

1946

References to SciGraph publications

  • 2005-07. Prediction of Metastasis to Non-sentinel Nodes by Sentinel Node Status and Primary Tumor Characteristics in Primary Breast Cancer in Taiwan in WORLD JOURNAL OF SURGERY
  • 2002-04. Analysis of sentinel lymph node mapping with immediate pathologic review in patients receiving preoperative chemotherapy for breast carcinoma in ANNALS OF SURGICAL ONCOLOGY
  • 2003-11. Predictive Factors for the Status of Non-sentinel Nodes in Breast Cancer Patients with Tumor Positive Sentinel Nodes in BREAST CANCER RESEARCH AND TREATMENT
  • 2005-05. An axilla scoring system to predict non-sentinel lymph node status in breast cancer patients with sentinel lymph node involvement in BREAST CANCER RESEARCH AND TREATMENT
  • 2007-01. Use of the Breast Cancer Nomogram to Predict Non-Sentinel Nodal Positivity in Patients Having Received Pre-Operative Chemotherapy in ANNALS OF SURGICAL ONCOLOGY
  • 2008-05. Sentinel Lymph Node Biopsy After Neoadjuvant Chemotherapy Is Accurate in Breast Cancer Patients with a Clinically Negative Axillary Nodal Status at Presentation in ANNALS OF SURGICAL ONCOLOGY
  • 2001-03. Lymphovascular Invasion Enhances the Prediction of Non-Sentinel Node Metastases in Breast Cancer Patients With Positive Sentinel Nodes in ANNALS OF SURGICAL ONCOLOGY
  • 2006-01. Factors predicting the sentinel and non-sentinel lymph node metastases in breast cancer in BREAST CANCER RESEARCH AND TREATMENT
  • 2003-04. Clinicopathologic Factors Predicting Involvement of Nonsentinel Axillary Nodes in Women With Breast Cancer in ANNALS OF SURGICAL ONCOLOGY
  • 2003-11. A Nomogram for Predicting the Likelihood of Additional Nodal Metastases in Breast Cancer Patients With a Positive Sentinel Node Biopsy in ANNALS OF SURGICAL ONCOLOGY
  • 2003-07. Lymphatic Mapping and Sentinel Lymphadenectomy After Preoperative Therapy for Stage II and III Breast Cancer in ANNALS OF SURGICAL ONCOLOGY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1245/s10434-009-0400-1

    DOI

    http://dx.doi.org/10.1245/s10434-009-0400-1

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1005034748

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/19408057


    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": "Antineoplastic Agents", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Axilla", 
            "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": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lymph Node Excision", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lymph Nodes", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Lymphatic Metastasis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Middle Aged", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Neoadjuvant Therapy", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Nomograms", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Predictive Value of Tests", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sentinel Lymph Node Biopsy", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Surgery, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Gimbergues", 
            "givenName": "P.", 
            "id": "sg:person.0744405244.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744405244.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Clinical Research, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Abrial", 
            "givenName": "C.", 
            "id": "sg:person.01060633644.50", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060633644.50"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Clinical Oncology, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Durando", 
            "givenName": "X.", 
            "id": "sg:person.01013304051.46", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013304051.46"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Surgery, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Le Bouedec", 
            "givenName": "G.", 
            "id": "sg:person.01252530233.76", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252530233.76"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Nuclear Medicine, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Cachin", 
            "givenName": "F.", 
            "id": "sg:person.01265400225.61", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265400225.61"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Pathology, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Penault-Llorca", 
            "givenName": "F.", 
            "id": "sg:person.0643603315.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643603315.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Clinical Oncology, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Mouret-Reynier", 
            "givenName": "M. A.", 
            "id": "sg:person.0677500261.85", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677500261.85"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Statistics, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Kwiatkowski", 
            "givenName": "F.", 
            "id": "sg:person.01114270207.31", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114270207.31"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Nuclear Medicine, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maublant", 
            "givenName": "J.", 
            "id": "sg:person.01145533411.58", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145533411.58"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Radiotherapy, Centre Jean Perrin, BP 392, 63011, Clermont-Ferrand Cedex 1, France", 
                "Faculty of Medicine, CHU, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tchirkov", 
            "givenName": "A.", 
            "id": "sg:person.01144622433.86", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144622433.86"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Centre Jean Perrin", 
              "id": "https://www.grid.ac/institutes/grid.418113.e", 
              "name": [
                "Department of Surgery, Centre Jean Perrin, Clermont-Ferrand, France"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Dauplat", 
            "givenName": "J.", 
            "id": "sg:person.01155172411.26", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155172411.26"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1111/j.1742-1241.2006.01265.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002427458"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-200009000-00010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002878188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000478-200009000-00010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002878188"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1097-0142(20010901)92:5<1080::aid-cncr1423>3.0.co;2-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005723031"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cncr.23481", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005735422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1023/b:brea.0000003918.59396.e4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008496352", 
              "https://doi.org/10.1023/b:brea.0000003918.59396.e4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1053/hupa.2002.124117", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009740794"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0002-9610(01)00718-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010915792"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bjs.5209", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014459310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bjs.5209", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014459310"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/aso.2003.05.012", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016463760", 
              "https://doi.org/10.1245/aso.2003.05.012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1097-0142(20010915)92:6<1378::aid-cncr1460>3.0.co;2-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017329506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02573061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017635782", 
              "https://doi.org/10.1007/bf02573061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf02573061", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017635782", 
              "https://doi.org/10.1007/bf02573061"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1524-4741.2002.08205.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017708638"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bjs.4937", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020581589"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-005-9007-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023564670", 
              "https://doi.org/10.1007/s10549-005-9007-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-005-9007-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1023564670", 
              "https://doi.org/10.1007/s10549-005-9007-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/jso.10294", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026797778"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bjs.1800790326", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029137025"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000150255.30665.52", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030945670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/01.sla.0000150255.30665.52", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1030945670"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/aso.2003.05.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031204859", 
              "https://doi.org/10.1245/aso.2003.05.020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/aso.2003.05.020", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031204859", 
              "https://doi.org/10.1245/aso.2003.05.020"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10434-001-0145-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032858148", 
              "https://doi.org/10.1007/s10434-001-0145-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1524-4741.2002.08315.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1035223169"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jamcollsurg.2004.09.001", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039122358"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jamcollsurg.2004.08.023", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040847645"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-006-9080-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042256716", 
              "https://doi.org/10.1245/s10434-006-9080-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/1097-0142(20000801)89:3<574::aid-cncr12>3.0.co;2-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043935402"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/s10434-007-9759-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044932215", 
              "https://doi.org/10.1245/s10434-007-9759-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/bjs.4325", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045775714"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-004-5781-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047196682", 
              "https://doi.org/10.1007/s10549-004-5781-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10549-004-5781-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047196682", 
              "https://doi.org/10.1007/s10549-004-5781-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-7744-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048921132", 
              "https://doi.org/10.1007/s00268-005-7744-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-7744-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048921132", 
              "https://doi.org/10.1007/s00268-005-7744-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00268-005-7744-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048921132", 
              "https://doi.org/10.1007/s00268-005-7744-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/aso.2003.03.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048944456", 
              "https://doi.org/10.1245/aso.2003.03.015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1245/aso.2003.03.015", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048944456", 
              "https://doi.org/10.1245/aso.2003.03.015"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0002-9610(02)00955-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1052369511"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1001/archsurg.136.5.563", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053261951"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/jnci/82.19.1539", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1059816045"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000658-199904000-00013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060135012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000658-199904000-00013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060135012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1097/00000658-199904000-00013", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1060135012"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1082984800", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.1997.15.7.2483", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083114694"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2009-07", 
        "datePublishedReg": "2009-07-01", 
        "description": "BACKGROUND: Studies have demonstrated the feasibility and accuracy of sentinel lymph node (SLN) biopsy after neoadjuvant chemotherapy (NAC) in breast cancer. Some SLN-positive patients have low risk of nonsentinel lymph node (non-SLN) involvement. Our goal was to determine clinicopathological factors correlating with the presence of non-SLN metastases in patients after NAC and to assess the validity of nomograms predicting additional axillary metastases.\nMETHODS: Patients with infiltrating breast carcinoma (n = 132) were studied prospectively. All patients received NAC. At surgery, SLN biopsy followed by axillary lymph node dissection was performed. Lymphatic mapping was done using the isotope method. Fifty-one patients were SLN positive.\nRESULTS: In univariate analysis, tumor size (P = 0.016) and the size of SLN metastases (P = 0.0055) were significantly correlated with the presence of non-SLN metastases. In multivariate analysis, SLN macrometastases (P = 0.047) conferred significantly increased risk of non-SLN metastases. The Memorial Sloan-Kettering Cancer Center nomogram was not reliably predictive for non-SLN metastases (area under the receiver operating characteristic curve, AUC, of 0.542), whereas the MD Anderson (AUC 0.716) and Tenon scoring systems (AUC 0.778) were validated.\nCONCLUSION: Our results suggest that clinicopathological factors predicting non-SLN involvement in SLN-positive patients with and without NAC are essentially the same. The risk of involvement may be assessed using existing nomograms, but additional large prospective studies are needed to determine their accuracy in patients after NAC.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1245/s10434-009-0400-1", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1105545", 
            "issn": [
              "1068-9265", 
              "1534-4681"
            ], 
            "name": "Annals of Surgical Oncology", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "7", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "16"
          }
        ], 
        "name": "Clinicopathological Factors and Nomograms Predicting Nonsentinel Lymph Node Metastases After Neoadjuvant Chemotherapy in Breast Cancer Patients", 
        "pagination": "1946", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "17fd64f36bb35d0c9cbc6c6c5b228e8b39225b9315107e42ba7d937716aa355d"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "19408057"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "9420840"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1245/s10434-009-0400-1"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1005034748"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1245/s10434-009-0400-1", 
          "https://app.dimensions.ai/details/publication/pub.1005034748"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T09:08", 
        "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/v90/0000000338_0000000338/records_47963_00000000.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "http://link.springer.com/10.1245/s10434-009-0400-1"
      }
    ]
     

    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.10.1245/s10434-009-0400-1'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1245/s10434-009-0400-1'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-009-0400-1'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-009-0400-1'


     

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

    321 TRIPLES      21 PREDICATES      79 URIs      36 LITERALS      24 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1245/s10434-009-0400-1 schema:about N16718c5ea9454b2bb64e42ba01130da4
    2 N1a1b6231c1db4c4f88c6bc15a0588fcd
    3 N20c4ee96ffca4154b855d787f65f7cbd
    4 N23efb616b8b74f66b984b2d6f72d002d
    5 N30680e618fe54076a826ed14e0ec367a
    6 N50613deba4ef4aa1ae8a174ac1a5edae
    7 N52171cc384b24a4cbe564e7fcecedc5f
    8 N65b2446d15fc4b8db89839a203da1dea
    9 N7dce787c4f6e4a69bc878e280a501a6f
    10 Na02ed64281f04c52b938346ff817bf62
    11 Ndd1efd81337b45f8b0a27d4df01a7dd7
    12 Ne2b3f7243dcc48ba8319702d1e8f4c50
    13 Nf99aa20ed5c743de812573fdc325c7e5
    14 Nfb64bfa32eae461b827945e41a2e2d84
    15 Nfef2ca6a038847759dbc47b41848bd2a
    16 anzsrc-for:11
    17 anzsrc-for:1112
    18 schema:author Ned7f9c6ba0bf4398a518ad1361b2d7f6
    19 schema:citation sg:pub.10.1007/bf02573061
    20 sg:pub.10.1007/s00268-005-7744-x
    21 sg:pub.10.1007/s10434-001-0145-y
    22 sg:pub.10.1007/s10549-004-5781-z
    23 sg:pub.10.1007/s10549-005-9007-9
    24 sg:pub.10.1023/b:brea.0000003918.59396.e4
    25 sg:pub.10.1245/aso.2003.03.015
    26 sg:pub.10.1245/aso.2003.05.012
    27 sg:pub.10.1245/aso.2003.05.020
    28 sg:pub.10.1245/s10434-006-9080-2
    29 sg:pub.10.1245/s10434-007-9759-z
    30 https://app.dimensions.ai/details/publication/pub.1082984800
    31 https://doi.org/10.1001/archsurg.136.5.563
    32 https://doi.org/10.1002/1097-0142(20000801)89:3<574::aid-cncr12>3.0.co;2-y
    33 https://doi.org/10.1002/1097-0142(20010901)92:5<1080::aid-cncr1423>3.0.co;2-1
    34 https://doi.org/10.1002/1097-0142(20010915)92:6<1378::aid-cncr1460>3.0.co;2-y
    35 https://doi.org/10.1002/bjs.1800790326
    36 https://doi.org/10.1002/bjs.4325
    37 https://doi.org/10.1002/bjs.4937
    38 https://doi.org/10.1002/bjs.5209
    39 https://doi.org/10.1002/cncr.23481
    40 https://doi.org/10.1002/jso.10294
    41 https://doi.org/10.1016/j.jamcollsurg.2004.08.023
    42 https://doi.org/10.1016/j.jamcollsurg.2004.09.001
    43 https://doi.org/10.1016/s0002-9610(01)00718-8
    44 https://doi.org/10.1016/s0002-9610(02)00955-8
    45 https://doi.org/10.1046/j.1524-4741.2002.08205.x
    46 https://doi.org/10.1046/j.1524-4741.2002.08315.x
    47 https://doi.org/10.1053/hupa.2002.124117
    48 https://doi.org/10.1093/jnci/82.19.1539
    49 https://doi.org/10.1097/00000478-200009000-00010
    50 https://doi.org/10.1097/00000658-199904000-00013
    51 https://doi.org/10.1097/01.sla.0000150255.30665.52
    52 https://doi.org/10.1111/j.1742-1241.2006.01265.x
    53 https://doi.org/10.1200/jco.1997.15.7.2483
    54 schema:datePublished 2009-07
    55 schema:datePublishedReg 2009-07-01
    56 schema:description BACKGROUND: Studies have demonstrated the feasibility and accuracy of sentinel lymph node (SLN) biopsy after neoadjuvant chemotherapy (NAC) in breast cancer. Some SLN-positive patients have low risk of nonsentinel lymph node (non-SLN) involvement. Our goal was to determine clinicopathological factors correlating with the presence of non-SLN metastases in patients after NAC and to assess the validity of nomograms predicting additional axillary metastases. METHODS: Patients with infiltrating breast carcinoma (n = 132) were studied prospectively. All patients received NAC. At surgery, SLN biopsy followed by axillary lymph node dissection was performed. Lymphatic mapping was done using the isotope method. Fifty-one patients were SLN positive. RESULTS: In univariate analysis, tumor size (P = 0.016) and the size of SLN metastases (P = 0.0055) were significantly correlated with the presence of non-SLN metastases. In multivariate analysis, SLN macrometastases (P = 0.047) conferred significantly increased risk of non-SLN metastases. The Memorial Sloan-Kettering Cancer Center nomogram was not reliably predictive for non-SLN metastases (area under the receiver operating characteristic curve, AUC, of 0.542), whereas the MD Anderson (AUC 0.716) and Tenon scoring systems (AUC 0.778) were validated. CONCLUSION: Our results suggest that clinicopathological factors predicting non-SLN involvement in SLN-positive patients with and without NAC are essentially the same. The risk of involvement may be assessed using existing nomograms, but additional large prospective studies are needed to determine their accuracy in patients after NAC.
    57 schema:genre research_article
    58 schema:inLanguage en
    59 schema:isAccessibleForFree false
    60 schema:isPartOf N12b90fc7749d46c3b7022df8326f780c
    61 Na6a2f8886d5a4b98b519fc275357a4e5
    62 sg:journal.1105545
    63 schema:name Clinicopathological Factors and Nomograms Predicting Nonsentinel Lymph Node Metastases After Neoadjuvant Chemotherapy in Breast Cancer Patients
    64 schema:pagination 1946
    65 schema:productId N1bc113dbac7f46619e6e9ca25a3071b5
    66 Nc252fed21c88450d84bbd4a187416029
    67 Nd3e14c9479d14cd8b16cfe6b3d1d50f2
    68 Neff54623b40449f5aa1ed454429e3ed0
    69 Nfdb11b1e869843be990a62b887e51c5d
    70 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005034748
    71 https://doi.org/10.1245/s10434-009-0400-1
    72 schema:sdDatePublished 2019-04-11T09:08
    73 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    74 schema:sdPublisher Necb38216febe42b0930ec111f4d7978d
    75 schema:url http://link.springer.com/10.1245/s10434-009-0400-1
    76 sgo:license sg:explorer/license/
    77 sgo:sdDataset articles
    78 rdf:type schema:ScholarlyArticle
    79 N00627d4575834cf2a4285a2f1829ca6f rdf:first sg:person.01252530233.76
    80 rdf:rest N3ddd68c7402b47ce8ef67930d2620c03
    81 N12b90fc7749d46c3b7022df8326f780c schema:issueNumber 7
    82 rdf:type schema:PublicationIssue
    83 N16718c5ea9454b2bb64e42ba01130da4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    84 schema:name Lymphatic Metastasis
    85 rdf:type schema:DefinedTerm
    86 N1a1b6231c1db4c4f88c6bc15a0588fcd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    87 schema:name Breast Neoplasms
    88 rdf:type schema:DefinedTerm
    89 N1bc113dbac7f46619e6e9ca25a3071b5 schema:name nlm_unique_id
    90 schema:value 9420840
    91 rdf:type schema:PropertyValue
    92 N1e6abf33ae574ee6a55b43d1efd93bd7 rdf:first sg:person.01144622433.86
    93 rdf:rest N6f8a9c594b794f929680e019a7d8b42b
    94 N20c4ee96ffca4154b855d787f65f7cbd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    95 schema:name Antineoplastic Agents
    96 rdf:type schema:DefinedTerm
    97 N23efb616b8b74f66b984b2d6f72d002d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    98 schema:name Adult
    99 rdf:type schema:DefinedTerm
    100 N30680e618fe54076a826ed14e0ec367a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    101 schema:name Aged
    102 rdf:type schema:DefinedTerm
    103 N3ddd68c7402b47ce8ef67930d2620c03 rdf:first sg:person.01265400225.61
    104 rdf:rest N7f9888e5c2f64308b0d31e5a209fc820
    105 N4aebaf01dca44b258d2fc34e89cb7943 rdf:first sg:person.01145533411.58
    106 rdf:rest N1e6abf33ae574ee6a55b43d1efd93bd7
    107 N50613deba4ef4aa1ae8a174ac1a5edae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    108 schema:name Middle Aged
    109 rdf:type schema:DefinedTerm
    110 N52171cc384b24a4cbe564e7fcecedc5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    111 schema:name Lymph Nodes
    112 rdf:type schema:DefinedTerm
    113 N65b2446d15fc4b8db89839a203da1dea schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    114 schema:name Nomograms
    115 rdf:type schema:DefinedTerm
    116 N6f8a9c594b794f929680e019a7d8b42b rdf:first sg:person.01155172411.26
    117 rdf:rest rdf:nil
    118 N7dce787c4f6e4a69bc878e280a501a6f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    119 schema:name Sentinel Lymph Node Biopsy
    120 rdf:type schema:DefinedTerm
    121 N7f9888e5c2f64308b0d31e5a209fc820 rdf:first sg:person.0643603315.57
    122 rdf:rest Na30bb3691c77475c81fa8533895c3dae
    123 N967fd99cc0794d7d86455af2f5626099 rdf:first sg:person.01013304051.46
    124 rdf:rest N00627d4575834cf2a4285a2f1829ca6f
    125 Na02ed64281f04c52b938346ff817bf62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    126 schema:name Lymph Node Excision
    127 rdf:type schema:DefinedTerm
    128 Na30bb3691c77475c81fa8533895c3dae rdf:first sg:person.0677500261.85
    129 rdf:rest Nf81f84d2aef742fbba62ea490a341134
    130 Na6a2f8886d5a4b98b519fc275357a4e5 schema:volumeNumber 16
    131 rdf:type schema:PublicationVolume
    132 Nb04988c93b38473ab665401fa2c796d7 rdf:first sg:person.01060633644.50
    133 rdf:rest N967fd99cc0794d7d86455af2f5626099
    134 Nc252fed21c88450d84bbd4a187416029 schema:name doi
    135 schema:value 10.1245/s10434-009-0400-1
    136 rdf:type schema:PropertyValue
    137 Nd3e14c9479d14cd8b16cfe6b3d1d50f2 schema:name dimensions_id
    138 schema:value pub.1005034748
    139 rdf:type schema:PropertyValue
    140 Ndd1efd81337b45f8b0a27d4df01a7dd7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name Humans
    142 rdf:type schema:DefinedTerm
    143 Ne2b3f7243dcc48ba8319702d1e8f4c50 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Female
    145 rdf:type schema:DefinedTerm
    146 Necb38216febe42b0930ec111f4d7978d schema:name Springer Nature - SN SciGraph project
    147 rdf:type schema:Organization
    148 Ned7f9c6ba0bf4398a518ad1361b2d7f6 rdf:first sg:person.0744405244.41
    149 rdf:rest Nb04988c93b38473ab665401fa2c796d7
    150 Neff54623b40449f5aa1ed454429e3ed0 schema:name pubmed_id
    151 schema:value 19408057
    152 rdf:type schema:PropertyValue
    153 Nf81f84d2aef742fbba62ea490a341134 rdf:first sg:person.01114270207.31
    154 rdf:rest N4aebaf01dca44b258d2fc34e89cb7943
    155 Nf99aa20ed5c743de812573fdc325c7e5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Neoadjuvant Therapy
    157 rdf:type schema:DefinedTerm
    158 Nfb64bfa32eae461b827945e41a2e2d84 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Axilla
    160 rdf:type schema:DefinedTerm
    161 Nfdb11b1e869843be990a62b887e51c5d schema:name readcube_id
    162 schema:value 17fd64f36bb35d0c9cbc6c6c5b228e8b39225b9315107e42ba7d937716aa355d
    163 rdf:type schema:PropertyValue
    164 Nfef2ca6a038847759dbc47b41848bd2a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    165 schema:name Predictive Value of Tests
    166 rdf:type schema:DefinedTerm
    167 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    168 schema:name Medical and Health Sciences
    169 rdf:type schema:DefinedTerm
    170 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    171 schema:name Oncology and Carcinogenesis
    172 rdf:type schema:DefinedTerm
    173 sg:journal.1105545 schema:issn 1068-9265
    174 1534-4681
    175 schema:name Annals of Surgical Oncology
    176 rdf:type schema:Periodical
    177 sg:person.01013304051.46 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    178 schema:familyName Durando
    179 schema:givenName X.
    180 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01013304051.46
    181 rdf:type schema:Person
    182 sg:person.01060633644.50 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    183 schema:familyName Abrial
    184 schema:givenName C.
    185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060633644.50
    186 rdf:type schema:Person
    187 sg:person.01114270207.31 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    188 schema:familyName Kwiatkowski
    189 schema:givenName F.
    190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114270207.31
    191 rdf:type schema:Person
    192 sg:person.01144622433.86 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    193 schema:familyName Tchirkov
    194 schema:givenName A.
    195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01144622433.86
    196 rdf:type schema:Person
    197 sg:person.01145533411.58 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    198 schema:familyName Maublant
    199 schema:givenName J.
    200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01145533411.58
    201 rdf:type schema:Person
    202 sg:person.01155172411.26 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    203 schema:familyName Dauplat
    204 schema:givenName J.
    205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155172411.26
    206 rdf:type schema:Person
    207 sg:person.01252530233.76 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    208 schema:familyName Le Bouedec
    209 schema:givenName G.
    210 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01252530233.76
    211 rdf:type schema:Person
    212 sg:person.01265400225.61 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    213 schema:familyName Cachin
    214 schema:givenName F.
    215 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265400225.61
    216 rdf:type schema:Person
    217 sg:person.0643603315.57 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    218 schema:familyName Penault-Llorca
    219 schema:givenName F.
    220 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0643603315.57
    221 rdf:type schema:Person
    222 sg:person.0677500261.85 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    223 schema:familyName Mouret-Reynier
    224 schema:givenName M. A.
    225 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677500261.85
    226 rdf:type schema:Person
    227 sg:person.0744405244.41 schema:affiliation https://www.grid.ac/institutes/grid.418113.e
    228 schema:familyName Gimbergues
    229 schema:givenName P.
    230 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0744405244.41
    231 rdf:type schema:Person
    232 sg:pub.10.1007/bf02573061 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017635782
    233 https://doi.org/10.1007/bf02573061
    234 rdf:type schema:CreativeWork
    235 sg:pub.10.1007/s00268-005-7744-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048921132
    236 https://doi.org/10.1007/s00268-005-7744-x
    237 rdf:type schema:CreativeWork
    238 sg:pub.10.1007/s10434-001-0145-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1032858148
    239 https://doi.org/10.1007/s10434-001-0145-y
    240 rdf:type schema:CreativeWork
    241 sg:pub.10.1007/s10549-004-5781-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1047196682
    242 https://doi.org/10.1007/s10549-004-5781-z
    243 rdf:type schema:CreativeWork
    244 sg:pub.10.1007/s10549-005-9007-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023564670
    245 https://doi.org/10.1007/s10549-005-9007-9
    246 rdf:type schema:CreativeWork
    247 sg:pub.10.1023/b:brea.0000003918.59396.e4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008496352
    248 https://doi.org/10.1023/b:brea.0000003918.59396.e4
    249 rdf:type schema:CreativeWork
    250 sg:pub.10.1245/aso.2003.03.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048944456
    251 https://doi.org/10.1245/aso.2003.03.015
    252 rdf:type schema:CreativeWork
    253 sg:pub.10.1245/aso.2003.05.012 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016463760
    254 https://doi.org/10.1245/aso.2003.05.012
    255 rdf:type schema:CreativeWork
    256 sg:pub.10.1245/aso.2003.05.020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031204859
    257 https://doi.org/10.1245/aso.2003.05.020
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1245/s10434-006-9080-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042256716
    260 https://doi.org/10.1245/s10434-006-9080-2
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1245/s10434-007-9759-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1044932215
    263 https://doi.org/10.1245/s10434-007-9759-z
    264 rdf:type schema:CreativeWork
    265 https://app.dimensions.ai/details/publication/pub.1082984800 schema:CreativeWork
    266 https://doi.org/10.1001/archsurg.136.5.563 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053261951
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1002/1097-0142(20000801)89:3<574::aid-cncr12>3.0.co;2-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1043935402
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1002/1097-0142(20010901)92:5<1080::aid-cncr1423>3.0.co;2-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005723031
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1002/1097-0142(20010915)92:6<1378::aid-cncr1460>3.0.co;2-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1017329506
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1002/bjs.1800790326 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029137025
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1002/bjs.4325 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045775714
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1002/bjs.4937 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020581589
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1002/bjs.5209 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014459310
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.1002/cncr.23481 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005735422
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.1002/jso.10294 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026797778
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.1016/j.jamcollsurg.2004.08.023 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040847645
    287 rdf:type schema:CreativeWork
    288 https://doi.org/10.1016/j.jamcollsurg.2004.09.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039122358
    289 rdf:type schema:CreativeWork
    290 https://doi.org/10.1016/s0002-9610(01)00718-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010915792
    291 rdf:type schema:CreativeWork
    292 https://doi.org/10.1016/s0002-9610(02)00955-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052369511
    293 rdf:type schema:CreativeWork
    294 https://doi.org/10.1046/j.1524-4741.2002.08205.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1017708638
    295 rdf:type schema:CreativeWork
    296 https://doi.org/10.1046/j.1524-4741.2002.08315.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1035223169
    297 rdf:type schema:CreativeWork
    298 https://doi.org/10.1053/hupa.2002.124117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009740794
    299 rdf:type schema:CreativeWork
    300 https://doi.org/10.1093/jnci/82.19.1539 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059816045
    301 rdf:type schema:CreativeWork
    302 https://doi.org/10.1097/00000478-200009000-00010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002878188
    303 rdf:type schema:CreativeWork
    304 https://doi.org/10.1097/00000658-199904000-00013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1060135012
    305 rdf:type schema:CreativeWork
    306 https://doi.org/10.1097/01.sla.0000150255.30665.52 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030945670
    307 rdf:type schema:CreativeWork
    308 https://doi.org/10.1111/j.1742-1241.2006.01265.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002427458
    309 rdf:type schema:CreativeWork
    310 https://doi.org/10.1200/jco.1997.15.7.2483 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083114694
    311 rdf:type schema:CreativeWork
    312 https://www.grid.ac/institutes/grid.418113.e schema:alternateName Centre Jean Perrin
    313 schema:name Department of Clinical Oncology, Centre Jean Perrin, Clermont-Ferrand, France
    314 Department of Clinical Research, Centre Jean Perrin, Clermont-Ferrand, France
    315 Department of Nuclear Medicine, Centre Jean Perrin, Clermont-Ferrand, France
    316 Department of Pathology, Centre Jean Perrin, Clermont-Ferrand, France
    317 Department of Radiotherapy, Centre Jean Perrin, BP 392, 63011, Clermont-Ferrand Cedex 1, France
    318 Department of Statistics, Centre Jean Perrin, Clermont-Ferrand, France
    319 Department of Surgery, Centre Jean Perrin, Clermont-Ferrand, France
    320 Faculty of Medicine, CHU, Clermont-Ferrand, France
    321 rdf:type schema:Organization
     




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


    ...