Validation of Sentinel Lymph Node Biopsy in Robotic Endometrial Cancer Staging Surgery: Results From a High-Volume Center in India

Author:

Roy Arunava1,Rout Subhashree1,Bhaumik Jaydip1ORCID

Affiliation:

1. Department of Gynaecological Oncology, Tata Medical Center, Kolkata, India

Abstract

PURPOSE Lymph node involvement is one of the most important factors influencing recurrence and survival in patients with endometrial cancer (EC). However, the therapeutic role of lymphadenectomy in early-stage disease has been called into question. Sentinel lymph node (SLN) mapping may be an acceptable alternative to omitting lymphadenectomy or performing a complete lymphadenectomy in patients with EC. To validate SLN biopsy (SLNB) using indocyanine green (ICG) dye and near-infrared imaging in the background of comprehensive lymphadenectomy in patients with EC undergoing robotic staging surgery at Tata Medical Center. METHODS This was a single-center, prospective observational study involving patients with EC undergoing robotic staging. Patients received a standardized cervical injection of ICG at the 3- and 9-o'clock positions, with the dye reinjected if mapping failed. Depending on preoperative histology and radiological staging, patients had SLNB or comprehensive systematic lymphadenectomy in addition to SLNB. RESULTS The study included 105 female patients, of whom 71 underwent SLN and full lymphadenectomy and 34 underwent only SLN. There was bilateral mapping in 92 (87.61%) patients, with no mapping in one patient. In 18 patients, ICG dye was reinjected. With the exception of one, the rest had successful mapping after reinjection. The sensitivity of the SLN-ICG algorithm was 92.3%, and the negative predictive value was 98.3%. Ultrastaging necessitated upstaging in 8.57% of patients. CONCLUSION With a very high negative predictive value, SLN mapping with ICG dye has a high degree of diagnostic accuracy in detecting lymph node metastases in EC.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Cancer Research,Oncology

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