Sentinel Lymph Node Biopsy in Endometrial Cancer: a New Standard of Care?

Lymph node status is one of the most important factors in determining prognosis and the need for adjuvant treatment in endometrial cancer (EMCA). Unfortunately, full lymphadenectomy bears significant surgical and postoperative risks. The majority of patients with clinical stage I disease will not have metastatic disease; thus, a full lymphadenectomy only increases morbidity in this population of patients. The use of the sentinel lymph node (SLN) biopsy has emerged as an alternative to complete lymphadenectomy in EMCA. By removing the highest yield lymph nodes, the SLN biopsy has the same diagnostic ability as lymphadenectomy while minimizing morbidity. The sensitivity of sentinel lymph node identification with robotic fluorescence imaging for detecting metastatic endometrial and cervical cancer (FIRES) trial published this year is the largest prospective, multi-institution trial investigating the accuracy of the SLN biopsy for endometrial and cervical cancer. Results of this trial found an excellent sensitivity (97.2%) and false negative rate (3%) with the technique. The conclusions from the FIRES trial and those of a recent meta-analysis are that SLN biopsy has an acceptable diagnostic accuracy in detecting lymphatic metastases, and can replace lymphadenectomy for this diagnostic purpose. There remains controversy surrounding the SLN biopsy in high-risk disease and the use of adjuvant therapy in the setting of low volume disease detected with ultrastaging. Current data suggests that the technique is accurate in high-risk disease and that the increased detection of metastasis helps guide adjuvant therapy such that oncologic outcomes are likely not affected by forgoing a full lymphadenectomy. Further prospective study is needed to investigate the impact of low volume metastatic disease on oncologic outcomes and the need for adjuvant therapy in these patients.

Duke Scholars

Author Emma C Rossi Obstetrics and Gynecology, Gynecologic Oncology