Combination of indocyanine green and carbon nanoparticles for mapping sentinel lymph nodes in breast cancer patients
10.3760/cma.j.issn.1674-6090.2015.02.003
- VernacularTitle:吲哚菁绿-纳米碳联合示踪在乳腺癌前哨淋巴结活检中的应用
- Author:
Min REN
;
Benzhong WANG
;
Ying CHEN
;
Xiaowei YANG
;
Xiaojun XU
;
Jun XU
;
Jingjie ZHANG
;
Jing PEI
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Sentinel lymph node biopsy;
Indocyanine green;
Carbon nanoparticles
- From:
Journal of Endocrine Surgery
2015;(2):97-100
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate intraoperative tracing of sentinel lymph nodes ( SLNs) by fluorescence imaging combined with carbon nanoparticles .Methods 112 breast cancer patients eligible for sentinel lymph node biopsy were randomly assigned to the combination group (56 cases)receiving indocyanine green (ICG)and carbon nanoparticles as the lymphatic mapping tracers and ICG alone group (56 cases).Intraoperative frozen sec-tion was performed , followed by conventional histopathology .Results In the combination group , subcutaneous lymphatic vessels were successfully visualized in 53 patients and the detection rate was 94.6%(53/56).The flu-orescence SLNs were successfully detected in 54 patients and the detection rate was 96.4%(54/56)in ICG alone group.In the combination group , SLNs were successfully identified in 54 patients by fluorescence and 52 patients by black dyed, and the SLNs detection rate was 100%(56/56).While in the ICG alone group, the SLNs were found in 52 patients and the detection rate was 92.9%(52/56)(χ2 =2.3, P>0.050).The average number of detected SLNs was 3.7 ±1.5 ( 205/56 ) in combination group vs 2.5 ±1.4 ( 130/52 ) in ICG alone group ( t =-3.5, P=0.001).17 metastatic SLNs were found in 10 patients in the combination group vs 12 metastatic SLNs in 9 patients in ICG alone group .Conclusion Combination of ICG and carbon nanoparticles for mapping sentinel lymph nodes in breast cancer patients can increase the number of SLNs detected and the detection rate , reducing the rate of misdiagnosis and false negative rate .
