Carbon nanoparticles versus patent blue dye for detection of sentinel lymph node in patients with early breast cancer

Background
Sentinel lymph nodes biopsy (SLNB) has replaced axillary lymph node dissection (ALND) in a considerable percentage of patients with early-stage breast cancer which was a great advance in preventing many surgical complications and enhancing their health welfare. Although there are different sentinel lymph nodes (SLNs) tracers with different identification rates, there is no agreement about the idealistic method.
Aim
The study was designed to compare carbon nanoparticles and patent blue v dye regarding SLNs detection rate, number of SLNs, time of detection, metastatic SLNs, cost, and safety in patients with early breast cancer and clinically node-negative axilla.
Patients and methods
A total of 40 patients with axillary lymph node-negative early-stage breast cancer patients were divided into two groups and subjected to carbon nanoparticles and patent blue V dye in group A and group B, respectively. Patients who were pregnant or lactating had node-positive axilla (N1-3) or metastatic breast cancer (M1) or had neoadjuvant chemotherapy were excluded.
Results
The mean age was 48.3±9.5 and 47 ±8.9, while the mean BMI of 33.3±4.8 and 32.834±4.862, the SLN detection rates were 95% and 90% in groups A and B, respectively. A total of 128 sentinel lymph nodes (SLNs) were removed from patients in the two groups (65 with Carbon Nanoparticles and 63 with patent blue dye). The mean number of SLNs was 3.4±0.7 (range, 2–5) and 3.5±1.2 (range, 2–7), mean time of SLNs detection was 13.5±4.5 (range, 7–22) and 12.7± 3.6 (range, 7–18 min) between group A and B, respectively.
Conclusion
There is no significant difference between carbon nanoparticles and patent blue dye regarding axillary SLNs in early breast cancer regarding identification rate, number of SLNs, time of detection, metastatic SLNs, cost, and safety with slight preference to carbon nanoparticles regarding postoperative skin staining and Egyptian market availability.