Abstract
ObjectiveSentinel Lymph Node (SLN) mapping is increasingly used as an alternative to lymphadenectomy in endometrial cancer. There is, however, limited data regarding the clinical outcome and survival after SLN mapping. The aim of the study was to determine long-term outcome data in endometrial cancer patients undergoing robot-assisted laparoscopic surgery and SLN mapping.Study design: Retrospective cohort study of 108 patients with primary endometrial cancer who underwent robot-assisted laparoscopic surgery and sentinel lymph node mapping using the Memorial Sloan Kettering Cancer Center (MSKCC) algorithm with near-infrared fluorescence detection of indocyanine green for endometrial cancer, from November 20th 2012 to January 1st 2016 at St. Olav’s Hospital in Norway. The primary endpoint was recurrence-free survival. Secondary endpoints were overall survival and treatment complications. ResultsAmong 108 patients operated in accordance with the SLN algorithm, 17 (16%) had lymph node metastases. Adjuvant chemotherapy was administered on indication endometrial cancer to 36 (33%) of the patients. After a median follow up of 75 months (range 61–98), five (4.6%) patients had recurrence, and three patients had died from the disease. Four of the patients who had recurrence had lymph node metastasis at diagnosis. The 5-year recurrence-free survival was 95.4% (95% CI, 91.5 – 99.3). The 5-year disease-specific survival was 97.2% (95% CI, 94.1 – 100.3). The 5-year overall survival was 92.6% (95% CI, 87.7 – 97.5). Peripheral neuropathy after chemotherapy was the most common complication (9.3%), followed by lower limb lymphedema (2%) and postoperative hernia (2%). ConclusionThe present study demonstrated excellent oncologic outcome and low long-term treatment complication rate in patients treated according to the SLN algorithm more than five years after diagnosis.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: European Journal of Obstetrics & Gynecology and Reproductive Biology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.