Does a Positive Axillary Lymph Node Needle Biopsy Result Predict the Need for an Axillary Lymph Node Dissection in Clinically ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-04

AUTHORS

Melissa Pilewskie, Starr Koslow Mautner, Michelle Stempel, Anne Eaton, Monica Morrow

ABSTRACT

BACKGROUND: American College of Surgeons Oncology Group (ACOSOG) Z0011 defined clinical node negativity by physical examination alone. Although axillary ultrasound with biopsy has a positive predictive value for lymph node (LN) metastases approaching 100 %, it may not appropriately identify clinically node-negative women with ≥3 positive LNs who require axillary lymph node dissection (ALND). We sought to identify the total number of positive LNs in women presenting with cT1-2N0 breast carcinoma with a positive preoperative LN biopsy to evaluate the potential for overtreatment when ALND is performed on the basis of a positive needle biopsy in patients who otherwise meet ACOSOG Z0011 eligibility criteria. METHODS: Patients with cT1-2N0 breast cancer by physical examination with a positive preoperative LN biopsy were identified from a prospective institutional database. Clinicopathologic characteristics and axillary imaging results were compared between women with 1 to 2 total positive LNs and ≥3 total positive LNs. RESULTS: Between May 2006 and December 2013, a total of 141 women with cT1-2N0 breast cancer had abnormal axillary imaging and a preoperative positive LN biopsy (median patient age 51 years, median tumor size 2.4 cm, 86 % ductal histology, 79 % estrogen receptor positive). Sixty-six women (47 %) had 1 to 2 total positive LNs, and 75 (53 %) had ≥3 total positive LNs. Women with ≥3 total positive LNs had larger tumors (2.4 vs. 2.2 cm, p = 0.03), fewer tumors with ductal histology (79 vs. 94 %, p = 0.01), more lymphovascular invasion (80 vs. 61 %, p = 0.01), and higher median body mass index (29.2 vs. 27.1 kg/m(2), p = 0.04). Having >1 abnormal LN on axillary imaging was significantly associated with having ≥3 total positive LNs at final pathology (68 vs. 43 %, p = 0.003). CONCLUSIONS: Axillary imaging with preoperative LN biopsy does not accurately discriminate low- versus high-volume nodal disease in clinically node-negative patients. More... »

PAGES

1123-1128

Identifiers

URI

http://scigraph.springernature.com/pub.10.1245/s10434-015-4944-y

DOI

http://dx.doi.org/10.1245/s10434-015-4944-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003559923

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26553439


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": "Axilla", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Breast Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Ductal, Breast", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Lobular", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Lymph Node Excision", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Magnetic Resonance Imaging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mammography", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Needs Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Invasiveness", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Preoperative Care", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptor, ErbB-2", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Estrogen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Receptors, Progesterone", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, NY, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pilewskie", 
        "givenName": "Melissa", 
        "id": "sg:person.0644311652.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644311652.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, NY, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mautner", 
        "givenName": "Starr Koslow", 
        "id": "sg:person.01174624045.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174624045.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, NY, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stempel", 
        "givenName": "Michelle", 
        "id": "sg:person.0746172544.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746172544.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eaton", 
        "givenName": "Anne", 
        "id": "sg:person.01000072334.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000072334.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, NY, New York, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Morrow", 
        "givenName": "Monica", 
        "id": "sg:person.01052143063.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052143063.40"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s1470-2045(14)70460-7", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000623034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jamcollsurg.2015.11.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008285591"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2011.90", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025928426"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.breast.2011.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029298345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.surg.2013.07.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031140091"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e31821f1564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036141963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e31821f1564", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036141963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-012-2569-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036514807", 
          "https://doi.org/10.1245/s10434-012-2569-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.breast.2013.09.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036775088"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.2013.277804", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040174221"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s1470-2045(13)70035-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040679922"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-014-4071-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048432655", 
          "https://doi.org/10.1245/s10434-014-4071-1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/bjs.9663", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049596206"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-014-3813-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049808754", 
          "https://doi.org/10.1245/s10434-014-3813-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1245/s10434-013-3229-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050838575", 
          "https://doi.org/10.1245/s10434-013-3229-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1634/theoncologist.2013-0323", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053131405"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/sla.0b013e3181f08f32", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078206533"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/107327481201900403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078630400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/107327481201900403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1078630400"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1078874792", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-04", 
    "datePublishedReg": "2016-04-01", 
    "description": "BACKGROUND: American College of Surgeons Oncology Group (ACOSOG) Z0011 defined clinical node negativity by physical examination alone. Although axillary ultrasound with biopsy has a positive predictive value for lymph node (LN) metastases approaching 100\u00a0%, it may not appropriately identify clinically node-negative women with \u22653 positive LNs who require axillary lymph node dissection (ALND). We sought to identify the total number of positive LNs in women presenting with cT1-2N0 breast carcinoma with a positive preoperative LN biopsy to evaluate the potential for overtreatment when ALND is performed on the basis of a positive needle biopsy in patients who otherwise meet ACOSOG Z0011 eligibility criteria.\nMETHODS: Patients with cT1-2N0 breast cancer by physical examination with a positive preoperative LN biopsy were identified from a prospective institutional database. Clinicopathologic characteristics and axillary imaging results were compared between women with 1 to 2 total positive LNs and \u22653 total positive LNs.\nRESULTS: Between May 2006 and December 2013, a total of 141 women with cT1-2N0 breast cancer had abnormal axillary imaging and a preoperative positive LN biopsy (median patient age 51\u00a0years, median tumor size 2.4\u00a0cm, 86\u00a0% ductal histology, 79\u00a0% estrogen receptor positive). Sixty-six women (47\u00a0%) had 1 to 2 total positive LNs, and 75 (53\u00a0%) had \u22653 total positive LNs. Women with \u22653 total positive LNs had larger tumors (2.4 vs. 2.2\u00a0cm, p\u00a0=\u00a00.03), fewer tumors with ductal histology (79 vs. 94\u00a0%, p\u00a0=\u00a00.01), more lymphovascular invasion (80 vs. 61\u00a0%, p\u00a0=\u00a00.01), and higher median body mass index (29.2 vs. 27.1\u00a0kg/m(2), p\u00a0=\u00a00.04). Having >1 abnormal LN on axillary imaging was significantly associated with having \u22653 total positive LNs at final pathology (68 vs. 43\u00a0%, p\u00a0=\u00a00.003).\nCONCLUSIONS: Axillary imaging with preoperative LN biopsy does not accurately discriminate low- versus high-volume nodal disease in clinically node-negative patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1245/s10434-015-4944-y", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2438793", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1105545", 
        "issn": [
          "1068-9265", 
          "1534-4681"
        ], 
        "name": "Annals of Surgical Oncology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "4", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "23"
      }
    ], 
    "name": "Does a Positive Axillary Lymph Node Needle Biopsy Result Predict the Need for an Axillary Lymph Node Dissection in Clinically Node-Negative Breast Cancer Patients in the ACOSOG Z0011 Era?", 
    "pagination": "1123-1128", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "10f5954ebcaec481f50fb864a0282cde24a8a7e31aec8af45910dffeb0ad29b4"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26553439"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9420840"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1245/s10434-015-4944-y"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003559923"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1245/s10434-015-4944-y", 
      "https://app.dimensions.ai/details/publication/pub.1003559923"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T19:05", 
    "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_8678_00000498.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1245/s10434-015-4944-y"
  }
]
 

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/s10434-015-4944-y'

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/s10434-015-4944-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1245/s10434-015-4944-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1245/s10434-015-4944-y'


 

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

249 TRIPLES      21 PREDICATES      70 URIs      44 LITERALS      32 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1245/s10434-015-4944-y schema:about N01c1cd224ac14e3694035a7d42ca8d47
2 N0575f36aeadd4e8abe906e44ba4e8562
3 N23dc1b9d6c2043428dc728dc72bed0e6
4 N2c22745febc64b9bb5c2e9801ab88f1e
5 N33c490dda4f94a34b8757cc36636eef8
6 N3932a0820f3c455db227e714187dc7a7
7 N42ca8733b26d43638a13f68099fc91e7
8 N54a999c822794524a0426efecbddd33b
9 N6f34ba5c9f394d47afba7bac5fea427f
10 N739e9eb8f38f4f54b64bde310fb6be92
11 N7bcc16c6896f47a6a27721318a6bccd1
12 N827c8d4ba35c4ae49dc2d41f4c9bf607
13 N95f0d05b0c374e289c4a7984eaf760c8
14 Naa9fde8c1627407781e69f27843524df
15 Nab34f37dd68f47f19e06cb3dd64a5d37
16 Nb2e419b8ab4d45eab06cbde3092224c6
17 Nb968d400d44e48749fd5ae5a968677e1
18 Nc291f374fd2545e38f49cd6627ab75f5
19 Nc9839efa270f41dca76f77f346ad791c
20 Ne0e7d477f196468ca92a18990a3a2b6c
21 Nf039e149906d4812a7fc653b74dbc61a
22 Nf726e54cd22f429eba51565c7ed66a48
23 Nfe847e8fc77649e88efd1db9dc69b84e
24 anzsrc-for:11
25 anzsrc-for:1112
26 schema:author N2b894164e3b1466f8d48a3def22f43bc
27 schema:citation sg:pub.10.1245/s10434-012-2569-y
28 sg:pub.10.1245/s10434-013-3229-6
29 sg:pub.10.1245/s10434-014-3813-4
30 sg:pub.10.1245/s10434-014-4071-1
31 https://app.dimensions.ai/details/publication/pub.1078874792
32 https://doi.org/10.1001/jama.2011.90
33 https://doi.org/10.1001/jama.2013.277804
34 https://doi.org/10.1002/bjs.9663
35 https://doi.org/10.1016/j.breast.2011.09.014
36 https://doi.org/10.1016/j.breast.2013.09.002
37 https://doi.org/10.1016/j.jamcollsurg.2015.11.013
38 https://doi.org/10.1016/j.surg.2013.07.017
39 https://doi.org/10.1016/s1470-2045(13)70035-4
40 https://doi.org/10.1016/s1470-2045(14)70460-7
41 https://doi.org/10.1097/sla.0b013e3181f08f32
42 https://doi.org/10.1097/sla.0b013e31821f1564
43 https://doi.org/10.1177/107327481201900403
44 https://doi.org/10.1634/theoncologist.2013-0323
45 schema:datePublished 2016-04
46 schema:datePublishedReg 2016-04-01
47 schema:description BACKGROUND: American College of Surgeons Oncology Group (ACOSOG) Z0011 defined clinical node negativity by physical examination alone. Although axillary ultrasound with biopsy has a positive predictive value for lymph node (LN) metastases approaching 100 %, it may not appropriately identify clinically node-negative women with ≥3 positive LNs who require axillary lymph node dissection (ALND). We sought to identify the total number of positive LNs in women presenting with cT1-2N0 breast carcinoma with a positive preoperative LN biopsy to evaluate the potential for overtreatment when ALND is performed on the basis of a positive needle biopsy in patients who otherwise meet ACOSOG Z0011 eligibility criteria. METHODS: Patients with cT1-2N0 breast cancer by physical examination with a positive preoperative LN biopsy were identified from a prospective institutional database. Clinicopathologic characteristics and axillary imaging results were compared between women with 1 to 2 total positive LNs and ≥3 total positive LNs. RESULTS: Between May 2006 and December 2013, a total of 141 women with cT1-2N0 breast cancer had abnormal axillary imaging and a preoperative positive LN biopsy (median patient age 51 years, median tumor size 2.4 cm, 86 % ductal histology, 79 % estrogen receptor positive). Sixty-six women (47 %) had 1 to 2 total positive LNs, and 75 (53 %) had ≥3 total positive LNs. Women with ≥3 total positive LNs had larger tumors (2.4 vs. 2.2 cm, p = 0.03), fewer tumors with ductal histology (79 vs. 94 %, p = 0.01), more lymphovascular invasion (80 vs. 61 %, p = 0.01), and higher median body mass index (29.2 vs. 27.1 kg/m(2), p = 0.04). Having >1 abnormal LN on axillary imaging was significantly associated with having ≥3 total positive LNs at final pathology (68 vs. 43 %, p = 0.003). CONCLUSIONS: Axillary imaging with preoperative LN biopsy does not accurately discriminate low- versus high-volume nodal disease in clinically node-negative patients.
48 schema:genre research_article
49 schema:inLanguage en
50 schema:isAccessibleForFree true
51 schema:isPartOf N024b97894d9e4877ba47c7e72d0f5744
52 Ne63933e989794973a50f759f3e16cd10
53 sg:journal.1105545
54 schema:name Does a Positive Axillary Lymph Node Needle Biopsy Result Predict the Need for an Axillary Lymph Node Dissection in Clinically Node-Negative Breast Cancer Patients in the ACOSOG Z0011 Era?
55 schema:pagination 1123-1128
56 schema:productId N7926789cae804b899be4fd0089de2166
57 Na61191276afe4b5896a0ee624f69b408
58 Nc21dcbea64c24fa8ba780a1a9800ace2
59 Ndd0617eaf42e4ce7be73291d8d7edf8d
60 Ne6c26c2231d94fc6b0730f80c6074c95
61 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003559923
62 https://doi.org/10.1245/s10434-015-4944-y
63 schema:sdDatePublished 2019-04-10T19:05
64 schema:sdLicense https://scigraph.springernature.com/explorer/license/
65 schema:sdPublisher N38a021db59584652b17df33d706b443e
66 schema:url http://link.springer.com/10.1245/s10434-015-4944-y
67 sgo:license sg:explorer/license/
68 sgo:sdDataset articles
69 rdf:type schema:ScholarlyArticle
70 N01c1cd224ac14e3694035a7d42ca8d47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
71 schema:name Aged
72 rdf:type schema:DefinedTerm
73 N024b97894d9e4877ba47c7e72d0f5744 schema:issueNumber 4
74 rdf:type schema:PublicationIssue
75 N0575f36aeadd4e8abe906e44ba4e8562 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
76 schema:name Receptors, Progesterone
77 rdf:type schema:DefinedTerm
78 N23dc1b9d6c2043428dc728dc72bed0e6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Prognosis
80 rdf:type schema:DefinedTerm
81 N2af0a15f19e846eab922624177e4438a rdf:first sg:person.01052143063.40
82 rdf:rest rdf:nil
83 N2b894164e3b1466f8d48a3def22f43bc rdf:first sg:person.0644311652.53
84 rdf:rest N856a76e0e41742ca8afe3b5b9d8cbc44
85 N2c22745febc64b9bb5c2e9801ab88f1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Preoperative Care
87 rdf:type schema:DefinedTerm
88 N33c490dda4f94a34b8757cc36636eef8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Female
90 rdf:type schema:DefinedTerm
91 N38a021db59584652b17df33d706b443e schema:name Springer Nature - SN SciGraph project
92 rdf:type schema:Organization
93 N3932a0820f3c455db227e714187dc7a7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Receptors, Estrogen
95 rdf:type schema:DefinedTerm
96 N42ca8733b26d43638a13f68099fc91e7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Neoplasm Staging
98 rdf:type schema:DefinedTerm
99 N54a999c822794524a0426efecbddd33b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Follow-Up Studies
101 rdf:type schema:DefinedTerm
102 N6f34ba5c9f394d47afba7bac5fea427f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Lymph Node Excision
104 rdf:type schema:DefinedTerm
105 N739e9eb8f38f4f54b64bde310fb6be92 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Prospective Studies
107 rdf:type schema:DefinedTerm
108 N7926789cae804b899be4fd0089de2166 schema:name pubmed_id
109 schema:value 26553439
110 rdf:type schema:PropertyValue
111 N7bcc16c6896f47a6a27721318a6bccd1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
112 schema:name Receptor, ErbB-2
113 rdf:type schema:DefinedTerm
114 N827c8d4ba35c4ae49dc2d41f4c9bf607 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
115 schema:name Carcinoma, Ductal, Breast
116 rdf:type schema:DefinedTerm
117 N856a76e0e41742ca8afe3b5b9d8cbc44 rdf:first sg:person.01174624045.09
118 rdf:rest Nc45e190205b54921ada876fadef63e87
119 N95f0d05b0c374e289c4a7984eaf760c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Axilla
121 rdf:type schema:DefinedTerm
122 Na61191276afe4b5896a0ee624f69b408 schema:name doi
123 schema:value 10.1245/s10434-015-4944-y
124 rdf:type schema:PropertyValue
125 Naa9fde8c1627407781e69f27843524df schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
126 schema:name Humans
127 rdf:type schema:DefinedTerm
128 Nab34f37dd68f47f19e06cb3dd64a5d37 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Adult
130 rdf:type schema:DefinedTerm
131 Nabc7aaabe5ad4feeae7b147a5792333f rdf:first sg:person.01000072334.13
132 rdf:rest N2af0a15f19e846eab922624177e4438a
133 Nb2e419b8ab4d45eab06cbde3092224c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Breast Neoplasms
135 rdf:type schema:DefinedTerm
136 Nb968d400d44e48749fd5ae5a968677e1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
137 schema:name Magnetic Resonance Imaging
138 rdf:type schema:DefinedTerm
139 Nc21dcbea64c24fa8ba780a1a9800ace2 schema:name nlm_unique_id
140 schema:value 9420840
141 rdf:type schema:PropertyValue
142 Nc291f374fd2545e38f49cd6627ab75f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Mammography
144 rdf:type schema:DefinedTerm
145 Nc45e190205b54921ada876fadef63e87 rdf:first sg:person.0746172544.79
146 rdf:rest Nabc7aaabe5ad4feeae7b147a5792333f
147 Nc9839efa270f41dca76f77f346ad791c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Needs Assessment
149 rdf:type schema:DefinedTerm
150 Ndd0617eaf42e4ce7be73291d8d7edf8d schema:name readcube_id
151 schema:value 10f5954ebcaec481f50fb864a0282cde24a8a7e31aec8af45910dffeb0ad29b4
152 rdf:type schema:PropertyValue
153 Ne0e7d477f196468ca92a18990a3a2b6c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Middle Aged
155 rdf:type schema:DefinedTerm
156 Ne63933e989794973a50f759f3e16cd10 schema:volumeNumber 23
157 rdf:type schema:PublicationVolume
158 Ne6c26c2231d94fc6b0730f80c6074c95 schema:name dimensions_id
159 schema:value pub.1003559923
160 rdf:type schema:PropertyValue
161 Nf039e149906d4812a7fc653b74dbc61a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Neoplasm Invasiveness
163 rdf:type schema:DefinedTerm
164 Nf726e54cd22f429eba51565c7ed66a48 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Carcinoma, Lobular
166 rdf:type schema:DefinedTerm
167 Nfe847e8fc77649e88efd1db9dc69b84e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Aged, 80 and over
169 rdf:type schema:DefinedTerm
170 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
171 schema:name Medical and Health Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
174 schema:name Oncology and Carcinogenesis
175 rdf:type schema:DefinedTerm
176 sg:grant.2438793 http://pending.schema.org/fundedItem sg:pub.10.1245/s10434-015-4944-y
177 rdf:type schema:MonetaryGrant
178 sg:journal.1105545 schema:issn 1068-9265
179 1534-4681
180 schema:name Annals of Surgical Oncology
181 rdf:type schema:Periodical
182 sg:person.01000072334.13 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
183 schema:familyName Eaton
184 schema:givenName Anne
185 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01000072334.13
186 rdf:type schema:Person
187 sg:person.01052143063.40 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
188 schema:familyName Morrow
189 schema:givenName Monica
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01052143063.40
191 rdf:type schema:Person
192 sg:person.01174624045.09 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
193 schema:familyName Mautner
194 schema:givenName Starr Koslow
195 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01174624045.09
196 rdf:type schema:Person
197 sg:person.0644311652.53 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
198 schema:familyName Pilewskie
199 schema:givenName Melissa
200 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644311652.53
201 rdf:type schema:Person
202 sg:person.0746172544.79 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
203 schema:familyName Stempel
204 schema:givenName Michelle
205 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746172544.79
206 rdf:type schema:Person
207 sg:pub.10.1245/s10434-012-2569-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1036514807
208 https://doi.org/10.1245/s10434-012-2569-y
209 rdf:type schema:CreativeWork
210 sg:pub.10.1245/s10434-013-3229-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050838575
211 https://doi.org/10.1245/s10434-013-3229-6
212 rdf:type schema:CreativeWork
213 sg:pub.10.1245/s10434-014-3813-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049808754
214 https://doi.org/10.1245/s10434-014-3813-4
215 rdf:type schema:CreativeWork
216 sg:pub.10.1245/s10434-014-4071-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048432655
217 https://doi.org/10.1245/s10434-014-4071-1
218 rdf:type schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1078874792 schema:CreativeWork
220 https://doi.org/10.1001/jama.2011.90 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025928426
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1001/jama.2013.277804 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040174221
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/bjs.9663 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049596206
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.breast.2011.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029298345
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.breast.2013.09.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036775088
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.jamcollsurg.2015.11.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008285591
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.surg.2013.07.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031140091
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/s1470-2045(13)70035-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040679922
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/s1470-2045(14)70460-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000623034
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1097/sla.0b013e3181f08f32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078206533
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1097/sla.0b013e31821f1564 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036141963
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1177/107327481201900403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1078630400
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1634/theoncologist.2013-0323 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053131405
245 rdf:type schema:CreativeWork
246 https://www.grid.ac/institutes/grid.51462.34 schema:alternateName Memorial Sloan Kettering Cancer Center
247 schema:name Breast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, NY, New York, USA
248 Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA
249 rdf:type schema:Organization
 




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


...