Sentinel Lymph Node Detection Using Carbon Nanoparticles in Patients with Early Breast Cancer.

Xiufeng Wu, Qingzhong Lin, Gang Chen, Jianping Lu, Yi Zeng, Xia Chen, Jun Yan
Author Information
  1. Xiufeng Wu: Department of Surgery, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, Fujian, People's Republic of China.
  2. Qingzhong Lin: Department of Surgery, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, Fujian, People's Republic of China.
  3. Gang Chen: Department of Pathology, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, Fujian, People's Republic of China.
  4. Jianping Lu: Department of Pathology, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, Fujian, People's Republic of China.
  5. Yi Zeng: Department of Surgery, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, Fujian, People's Republic of China.
  6. Xia Chen: Department of Surgery, Fujian Provincial Tumor Hospital, Teaching Hospital of Fujian Medical University, Fuzhou 350014, Fujian, People's Republic of China.
  7. Jun Yan: Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou 510515, Guangdong, People's Republic of China.

Abstract

PURPOSE: Carbon nanoparticles have a strong affinity for the lymphatic system. The purpose of this study was to evaluate the feasibility of sentinel lymph node biopsy using carbon nanoparticles in early breast cancer and to optimize the application procedure.
METHODS: Firstly, we performed a pilot study to demonstrate the optimized condition using carbon nanoparticles for sentinel lymph nodes (SLNs) detection by investigating 36 clinically node negative breast cancer patients. In subsequent prospective study, 83 patients with clinically node negative breast cancer were included to evaluate SLNs using carbon nanoparticles. Another 83 SLNs were detected by using blue dye. SLNs detection parameters were compared between the methods. All patients irrespective of the SLNs status underwent axillary lymph node dissection for verification of axillary node status after the SLN biopsy.
RESULTS: In pilot study, a 1 ml carbon nanoparticles suspension used 10-15min before surgery was associated with the best detection rate. In subsequent prospective study, with carbon nanoparticles, the identification rate, accuracy, false negative rate was 100%, 96.4%, 11.1%, respectively. The identification rate and accuracy were 88% and 95.5% with 15.8% of false negative rate using blue dye technique. The use of carbon nanoparticles suspension showed significantly superior results in identification rate (p = 0.001) and reduced false-negative results compared with blue dye technique.
CONCLUSION: Our study demonstrated feasibility and accuracy of using carbon nanoparticles for SLNs mapping in breast cancer patients. Carbon nanoparticles are useful in SLNs detection in institutions without access to radioisotope.

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MeSH Term

Adult
Aged
Axilla
Breast Neoplasms
Carbon
Carcinoma, Ductal, Breast
Carcinoma, Lobular
Early Diagnosis
False Negative Reactions
Female
Humans
Injections, Intradermal
Lymph Nodes
Lymphatic Metastasis
Methylene Blue
Middle Aged
Nanoparticles
Neoplasm Staging
Pilot Projects
Prospective Studies
Sentinel Lymph Node Biopsy

Chemicals

Carbon
Methylene Blue

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