Improved false-negative rates using a novel patient selection flowchart in initially biopsy-proven node-positive breast cancer undergoing blue-dye alone guided sentinel lymph node biopsy after neoadjuvant chemotherapy

Purpose Current trials support the application of sentinel lymph node biopsy (SLNB) in node-positive breast cancer treated with neoadjuvant chemotherapy (NAC) with a lower false-negative rate (FNR) if dual-tracer (radioisotope and blue-dye) is used. However, radioisotopes are not available in many areas of the world. In this study, we evaluated the feasibility and accuracy of SLNB mapped with methylene-blue-dye alone. Methods This study enrolled 132 patients with biopsy-proven node-positive breast cancer with a clip placed in the positive node who then received NAC. After chemotherapy and before operation, all patients underwent axillary ultrasound (AUS) assessment and were classified as either negative (AUS-) or positive (AUS +) according to the axillary status. All patients underwent both SLNB and axillary lymph node dissection (ALND). SLNB was mapped with methylene-blue-dye alone. FNRs were evaluated on factors potentially affecting false-negative SLN finding. Results Using methylene-blue-dye alone, the FNR of SLNB was 9.9%. Post-NAC AUS assessment (p = 0.009) and the number of SLNs retrieved (p = 0.029) showed association with FNRs in multivariate analysis. In AUS- group, FNR was as low as 2.5%. In AUS + group, retrieving >= 4 SLNs including the clipped node improved FNR from 17.1% to 4.8%. A flowchart was designed with the combination of post-NAC AUS assessment, retrieved SLN number, and the retrieved of clipped node further improve overall FNR to 3.3%. Conclusion In biopsy-proven node-positive breast cancer treated with NAC, using a flowchart to optimize patient selection reduces the FNR of single-tracer (methylene-blue-dye) guided SLNB.

Automated summary

This study evaluated the feasibility and accuracy of using methylene-blue-dye alone for sentinel lymph node biopsy (SLNB) in node-positive breast cancer. The results showed that using a flowchart to optimize patient selection significantly reduces the false-negative rate (FNR).