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A selection algorithm for internal mammary sentinel lymph node biopsy in breast cancer
J L B Bevilacqua1, G Gucciardo, H S Cody
1Department of Surgery and Pathology, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.
Summary
Internal mammary lymph-node (IMN) metastases significantly impact breast cancer survival. Sentinel lymph node biopsy for IMN (IM-SLN) offers a selective approach to identify metastases and guide treatment.
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.