Targeted Lymph Node Surgery Reduces Number of Nodes Removed in Breast Cancer Patients

Researchers have found that a targeted approach to lymph node surgery in breast cancer patients can significantly reduce the number of nodes removed, improving accuracy in axillary staging. The study, published in the Annals of Surgical Oncology, compared the efficacy of two methods: sentinel lymph node (SLN) surgery using [Tc-99m]tilmanocept (TcTM) and vital blue dye (VBD), and filtered [Tc-99m]sulfur colloid (fTcSC) + VBD. The results showed that patients mapped with TcTM had fewer nodes removed compared to those using fTcSC.

Key Takeaways:

  • The study found that a molecularly targeted mechanism of SLN identification, such as TcTM, can reduce the total number of nodes necessary for accurate axillary staging.
  • In the TcTM group, a mean of 1.85 nodes were removed per patient, while in the fTcSC group, a mean of 3.24 nodes were removed (p-value not provided).
  • The use of TcTM was associated with fewer nodes removed in node-positive patients, with a proportion of 73% (TcTM) compared to 85% (fTcSC) having one or more positive nodes removed.
  • The technical outcomes of SLN biopsy were evaluated in 199 patients, of which 84 were in the TcTM group and 115 were in the fTcSC group.
  • The research was conducted at the University of California, with the involvement of researchers J. Baker, M.Y. Pu, C.A. Tokin, C.K. Hoh, D.R. Vera, K. Messer, and A.M. Wallace.

Statistics:

  • 1.85 nodes were removed on average with TcTM compared to 3.24 with fTcSC.
  • 73% of patients in the TcTM group had one or more positive nodes removed compared to 85% in the fTcSC group.
  • The study evaluated 199 patients in total, with 84 in the TcTM group and 115 in the fTcSC group.

Sources:

  • "Comparison of [Tc-99m]Tilmanocept and Filtered [Tc-99m]Sulfur Colloid for Identification of SLNs in Breast Cancer Patients." Annals of Surgical Oncology, vol. 22, no. 1, 2015, pp. 40-45.
  • Annals of Surgical Oncology, Springer, 233 Spring St, New York, NY 10013, USA. (www.springer.com)
  • J. Baker, University of California, Mol Imaging Program, La Jolla, CA 92093, United States.