The American Journal of Surgery
Volume 194, Issue 3 , Pages 288-293, September 2007

Validation of clinical prediction rules for a low probability of nonsentinel and extensive lymph node involvement in breast cancer patients

  • Gábor Cserni, M.D., Ph.D., D.Sc.

      Affiliations

    • Department of Surgical Pathology, Bács-Kiskun County Teaching Hospital, Nyiri út 38, H-6000 Kecskemét, Hungary
    • Corresponding Author InformationCorresponding author. Tel.: +36-76-516768; fax: +36-76-481219.
  • ,
  • Simonetta Bianchi, M.D.

      Affiliations

    • Department of Human Pathology and Oncology, University of Florence, Viale Morgagni 85, 50134 Florence, Italy
  • ,
  • Vania Vezzosi, M.D., Ph.D.

      Affiliations

    • Department of Human Pathology and Oncology, University of Florence, Viale Morgagni 85, 50134 Florence, Italy
  • ,
  • Riccardo Arisio, M.D., Ph.D.

      Affiliations

    • Department of Pathology, Sant’Anna Hospital, Turin, Corso Spezia 60, 10126 Italy
  • ,
  • Johannes L. Peterse, M.D.

      Affiliations

    • Department of Pathology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX Amsterdam, The Netherlands
  • ,
  • Anna Sapino, M.D.

      Affiliations

    • Department of Biological Science and Human Oncology, University of Turin, Via Santena 7, 10126 Turin, Italy
  • ,
  • Isabella Castellano, M.D., Ph.D.

      Affiliations

    • Department of Biological Science and Human Oncology, University of Turin, Via Santena 7, 10126 Turin, Italy
  • ,
  • Maria Drijkoningen, M.D., Ph.D.

      Affiliations

    • Pathologische Ontleedkunde, University Hospitals, Minderbroedersstrasse 12, B-3000 Leuven, Belgium
  • ,
  • Janina Kulka, M.D., Ph.D.

      Affiliations

    • 2nd Institute of Pathology, Semmelweis University, Faculty of Medicine, Ulloi ut 93, H-1091 Budapest, Hungary
  • ,
  • Vincenzo Eusebi, M.D., F.R.C.Path.

      Affiliations

    • Sezione Anatomia Patologica M. Malpighi, Universita di Bologna, Ospedale Bellaria, Via Altura 3, 40139 Bologna, Italy
  • ,
  • Maria P. Foschini, M.D.

      Affiliations

    • Sezione Anatomia Patologica M. Malpighi, Universita di Bologna, Ospedale Bellaria, Via Altura 3, 40139 Bologna, Italy
  • ,
  • Jean-Pierre Bellocq, M.D.

      Affiliations

    • Service d’Anatomie Pathologique, Hopital de Hautepierre, Avenue Moliere, F-67098 Strasbourg, France
  • ,
  • Cristi Marin, M.D.

      Affiliations

    • Service d’Anatomie Pathologique, Hopital de Hautepierre, Avenue Moliere, F-67098 Strasbourg, France
  • ,
  • Sten Thorstenson, M.D.

      Affiliations

    • Department of Pathology and Cytology, Kalmar Hospital, Länssjukhuset, S-39185 Kalmar, Sweden
  • ,
  • Isabel Amendoeira, M.D.

      Affiliations

    • Instituto de Patologia e Imunologia da Universidade do Porto (IPATIMUP) and Hospital de S. João, Rua Roberto Frias s/n, 4200 Porto, Portugal
  • ,
  • Angelika Reiner-Concin, M.D.

      Affiliations

    • Institute of Pathology, Donauspital, Langobardenstrasse 122, A-1220 Wien, Austria
  • ,
  • Thomas Decker, M.D.

      Affiliations

    • Gerhard-Domagk Institut fur Pathologie, Universitat von Munster, Domagkstrasse 17, D-48129 Munster, Germany
  • ,
  • Manuela Lacerda, M.D., Ph.D.

      Affiliations

    • Laboratorio De Histopatologica, Centro Regional De Oncologia De Coimbra, Avenida Bissaia Barreto 98, 3000 Coimbra, Portugal
  • ,
  • Paulo Figueiredo, M.D.

      Affiliations

    • Laboratorio De Histopatologica, Centro Regional De Oncologia De Coimbra, Avenida Bissaia Barreto 98, 3000 Coimbra, Portugal

Received 9 December 2006; received in revised form 1 February 2007

Abstract 

Background

Two recently developed clinical prediction rules aim to anticipate the lack of nonsentinel lymph node metastases and the involvement of less than 4 lymph nodes in breast cancer patients with positive sentinel lymph nodes (SLNs).

Methods

The University of Louisville Breast SLN Study clinical prediction rules were validated on an independent set of SLN-positive patients with tumors ≤15 mm.

Results

The data on 475 and 473 patients, respectively, were used for the validation. The areas under the receiver operating characteristic curves were similar to the originals for both predictive tools (.70 and .76). The lowest score of 1 identified 5 of 7 patients with disease limited to the SLNs and 161 of 165 as having less than 4 involved lymph nodes.

Conclusions

A subset of patients with SLN-only involvement and less than 4 metastatic lymph nodes can probably be identified by means of the Louisville clinical prediction rules, but prediction of the lack of non-SLN metastasis seems less reliable.

Keywords: Sentinel lymph nodes, Breast cancer, Nonsentinel lymph nodes, Clinical prediction rules, Postmastectomy radiation therapy, T1 tumors

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PII: S0002-9610(07)00453-9

doi:10.1016/j.amjsurg.2007.02.014

The American Journal of Surgery
Volume 194, Issue 3 , Pages 288-293, September 2007