Background and Objective. Sentinel lymph node (SLN) biopsy efficiency has been confirmed in various solid tumors. This study aimed to assess SLN biopsy feasibility in clinical application and explore how to improve its detection rates and diagnostic accuracy in cervical cancer laparoscopic surgery. Methods. A total of 100 cervical cancer patients undergoing laparoscopic surgery with SLN biopsy were included. Indocyanine green, carbon nanoparticles (CNPs), and a combination of both were used during surgeries. Detection rates, sensitivity, negative predictive value (NPV) of SLN biopsy, and related factors were analyzed. Results. The overall and bilateral SLN detection rates were 92% (92/100) and 74% (74/100), respectively. Combined tracers had higher bilateral SLN detection rates than CNPs alone (
p
=
0.005
). Menopause and lymph node metastasis were associated with lower overall and bilateral SLN detection rates (
p
<
0.05
). SLN biopsy sensitivity and NPV for lymph node metastasis in patients with at least one detected SLN were 81.8% (9/11) and 97.3% (72/74), respectively. Among those with bilateral detected SLNs, higher sensitivity and NPV of 87.5% (7/8) and 98.3% (57/58) were observed, respectively. SLN algorithm can ensure that all patients with lymph node metastasis are detected by SLN biopsy. Conclusion. SLN biopsy appears to be safe and effective for specific cervical cancer patients with high detection rates and NPV in laparoscopic surgery, especially for those with detected bilateral SLNs and undergoing the SLN algorithm. Selecting suitable patients for SLN mapping has prospects for clinical application.
A New Method for Sentinel Lymph Node Detection in Laparoscopic Surgery for Patients with Cervical Cancer: Carbon Nanoparticles