Learning sentinel node biopsy: results of a prospective randomized trial of two techniques

Surgery. 1999 Oct;126(4):714-20; discussion 720-2.

Abstract

Background: Evidence indicates that sentinel node (SN) biopsy can accurately predict axillary nodal status. Debate exists as to the optimal method of SN identification.

Methods: Patients with clinical T1 or T2 tumors and negative axillae were randomized to SN localization with blue dye (B) alone (n = 50) or blue dye plus radioactivity (B+R) (n = 42). Patients undergoing needle localization (n = 47) were assigned to blue dye.

Results: The SN was identified in 110 patients (79%) and contained metastases in 28. The SN predicted the axillary nodal status in 96% of cases. The SN identification rate did not differ between B (88%) or B+R (86%) but was significantly lower in patients requiring localization (64%). The time to SN identification also did not differ between B and B+R. The number of cases done by an individual surgeon was a significant predictor of SN identification. A stepwise logistic regression analysis of factors influencing the success of SN identification identified tumor location, needle localization, number of operations, and body mass index as significant predictors.

Conclusions: Our study does not identify any advantage for the use of the more expensive and complex method of SN identification using B+R compared with B alone, even for surgeons learning the techniques.

Publication types

  • Clinical Trial
  • Comparative Study
  • Randomized Controlled Trial
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Axilla
  • Biopsy / methods*
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / pathology*
  • Coloring Agents
  • Education, Medical, Continuing*
  • Female
  • Humans
  • Logistic Models
  • Lymph Nodes / pathology*
  • Medical Staff, Hospital / education
  • Middle Aged
  • Palpation
  • Prospective Studies
  • Radionuclide Imaging
  • Radiopharmaceuticals
  • Technetium Tc 99m Sulfur Colloid

Substances

  • Coloring Agents
  • Radiopharmaceuticals
  • Technetium Tc 99m Sulfur Colloid