Axillary Lymph Node Treatment Guided by Naocarbon Tracing After Neoadjuvant Chemotherapy

For patients with early breast cancer with negative axillary lymph nodes, sentinel lymph node biopsy (SLNB) can largely avoid complications such as upper limb lymphoedema caused by axillary lymph node dissection (ALND). Locally advanced breast cancer requires neoadjuvant chemotherapy (NAC), based on the breast cancer treatment guidelines. In addition to shrinking the primary breast lesion, NAC can reduce the stage for axillary positive lymph nodes. Therefore, in recent years clinicians have been considering SLNB for patients whose axillary lymph nodes have turned negative after NAC. After verification by the clinical trials, the current NCCN guidelines recommend that patients with T1-3N0-1 undergo SLNB after NAC, however, the false negative rate (FNR) of conventional SLNB after NAC is as high as 14%, which potentially leads to underestimation of the risk for recurrence and metastasis, insufficient adjuvant therapy, eventually affects long-term survival. Thus, how to accurately assess and treat axillary lymph nodes after NAC remains an urgent clinical question to be answered. In recent years, a method using a metal clip to label positive lymph node before NAC has emerged in order to reduce the FNR of SLNB after NAC. Its principle is to trace the metastasized lymph node, so that the lymph node can be accurately found in the surgery, even if the lymph node is not blue-stained at the time. Apparently, this method is more suitable for small number of nodes, and inappropriate for more than two metastasized nodes. The diameter of manocarbon particles (150nm) is between that of lymphatic capillaries (120-500nm) and capillaries (20-50 nm). With the unique macrophage phagocytosis, nanocarbon particles can remain in the lymphatic system for a long time. Using nanocarbon to label positive lymph nodes before NAC, our pilot study explored the regression of axillary lymph nodes after NAC. We found that, except for a small number of drug-resistant patients, the regression of posi