2000Chinese Journal of Cancer ResearchRequires access

Lymphatic mapping and sentinel lymph node biopsy in the patients with breast cancer

Guojin Liu, Zhi-min Fan, Qiang Tang, Ming Yang, Tong‐Ming Fu, Hong Zhang, Dong Song

Open publisher page 26 citations

Abstract

Objective: To identify the feasibility of the lymphatic mapping and sentinel node biopsy (SNB) in patients with breast cancer and to examine whether the characteristics of the sentinel lymph node (SLN) accurately predict the status of axillary node. Methods: 33 patients with breast cancer intraoperatively and postoperatively underwent a lymphatic mapping and the SNB using Patent Blue. Results: The SLNs were found in 30 of 33 patients (90.9%), the SLN accurately predicted the status of the axillary in 29 (96.7%). In one case the SLN was negative, but other axillary nodes were tumor positive. Conclusion: This study confirmed that the procedure of lymphatic mapping and SNB in the patients with breast cancer is feasibility, and that the histological characteristics of the SLN accurately predict the status of the axillary node. We believe that this technique might replace axillary lymph node dissection for breast cancer patients with negative axillae in the future.

About this research paper

What this paper is about

Objective: To identify the feasibility of the lymphatic mapping and sentinel node biopsy (SNB) in patients with breast cancer and to examine whether the characteristics of the sentinel lymph node (SLN) accurately predict the status of axillary node. Methods: 33 patients with breast cancer intraoperatively and postoperatively underwent a lymphatic mapping and the SNB using Patent Blue. Results: The SLNs were found in 30 of 33 patients (90.9%), the SLN accurately predicted the status of the axillary in 29 (96.7%). In one case the SLN was negative, but other axillary nodes were tumor positive. Conclusion: This study confirmed that the procedure of lymphatic mapping and SNB in the patients with breast cancer is feasibility, and that the histological characteristics of the SLN accurately predict the status of the axillary node. We believe that this technique might replace axillary lymph node dissection for breast cancer patients with negative axillae in the future.

Why it matters

OpenAlex reports 26 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Objective: To identify the feasibility of the lymphatic mapping and sentinel node biopsy (SNB) in patients with breast cancer and to examine whether the characteristics of the sentinel lymph node (SLN) accurately predict the status of axillary node. Methods: 33 patients with breast cancer intraoperatively and postoperatively underwent a lymphatic mapping and the SNB using Patent Blue. Results: The SLNs were found in 30 of 33 patients (90.9%), the SLN accurately predicted the status of the axillary in 29 (96.7%). In one case the SLN was negative, but other axillary nodes were tumor positive. Conclusion: This study confirmed that the procedure of lymphatic mapping and SNB in the patients with breast cancer is feasibility, and that the histological characteristics of the SLN accurately predict the status of the axillary node. We believe that this technique might replace axillary lymph node dissection for breast cancer patients with negative axillae in the future.

Key concepts: Medicine, Breast cancer, Sentinel lymph node, Lymphatic system, Sentinel node, Biopsy, Axillary Dissection, Axilla

Related papers

Back to paper searchBrowse research topicsOriginal source
Lymphatic mapping and sentinel lymph node biopsy in the patients with breast cancer — Research Paper | ScholarLens