A selection algorithm for internal mammary sentinel lymph node biopsy in breast cancer

Area of Science:

• Oncology
• Surgical Oncology
• Pathology

Background:

• Internal mammary lymph-node (IMN) metastases are critical prognostic indicators in breast cancer, similar to axillary lymph-node metastases (ALNM).
• Complete IMN dissection has not shown improved survival benefits in prospective trials.
• Accurate IMN status is crucial for staging and adjuvant treatment decisions, especially in early-stage breast cancer.

Purpose of the Study:

• To review the prognostic significance of tumor location and lymph-node metastases in breast cancer.
• To discuss factors influencing IMN identification, metastasis, and treatment.
• To propose a selective algorithm for internal mammary sentinel lymph-node (IM-SLN) biopsy.

Main Methods:

• Review of existing literature on IMN metastases, lymphatic mapping, and sentinel lymph-node biopsy.
• Analysis of prognostic and clinical significance of IMN status.
• Development of a selective approach algorithm for IM-SLN biopsy.

Main Results:

• IMN metastases have a survival impact comparable to ALNM.
• Extra-axillary lymphatic drainage occurs in up to 35% of patients.
• Internal mammary sentinel lymph-node (IM-SLN) biopsy is feasible.

Conclusions:

• IMN status is a vital factor in breast cancer management.
• A selective approach to IM-SLN biopsy can optimize patient care.
• The proposed algorithm aims to guide the judicious use of IM-SLN biopsy.