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עמוד בית
Fri, 22.11.24

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June 2019
Ahmet Namazov MD, Vladislav Volchok MD, Alejandro Liboff MD, Michael Volodarsky MD, Viki Kapustian MD, Eyal Y Anteby MD and Ofer Gemer MD

Background: The sentinel lymph node (SLN) biopsy procedure is a well-known method for identifying solid tumors such as breast cancer, vulvar cancer, and melanoma. In endometrial and cervical cancer, SLN has recently gained acceptance.

Objectives: To evaluate the detection rate of SLN with an indocyanine green and near-infrared fluorescent imaging (ICG/NIR) integrated laparoscopic system in clinically uterine-confined endometrial or cervical cancer.

Methods: Patients with clinically early-stage endometrial or cervical cancer were included in this retrospective study. ICG was injected into the uterine cervix and an ICG/NIR integrated laparoscopic system was used during the surgeries. The National Comprehensive Cancer Network (NCCN) protocol was followed. SLN and/or suspicious lymph nodes were resected. Side-specific lymphadenectomy was performed when mapping was unsuccessful. Systematic lymphadenectomy was completed in patients with high-grade histology or deep myometrial invasion. Enhanced pathology using ultra-staging and immunohistochemistry were performed in all cases.

Results: We analyzed 46 eligible patients: 39 endometrial and 7 cervical cancers. Of these, 44 had at least one SLN (93.6%). In 41 patients (89%) we detected bilateral SLN, in 3 (7%) only unilateral, and in 2 (4%) none were detected. Seven patients presented with lymph node metastasis. All were detected by NCCN/SLN protocol. Of these cases, two were detected with only pathological ultra-staging.

Conclusions: SLN mapping in endometrial and cervical cancer can easily be performed with a high detection rate by integrating ICG/NIR into a conventional laparoscopic system. Precision medicine in patients evaluated by SLN biopsy changes the way patients with endometrial or cervical cancer are managed.

March 2017
Yakir Segev MSc MD, Ella Arnon MD, Efraim Siegler MD, Ofer Gemer MD, Yael Goldberg MD, Ron Auslender MD, Anis Kaldawy MD and Ofer Lavie MD
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