The feasibility and effectiveness of sentinel lymph node detection in ovarian neoplasms: a systematic review
10.3760/cma.j.cn431274-20201230-01766
- VernacularTitle:卵巢癌前哨淋巴结检测的可行性和有效性分析：系统评价
- Author:
Yujia WANG
;
Jing CAI
;
Si SUN
;
Zehua WANG
- From:
Journal of Chinese Physician
2021;23(2):171-177
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the feasibility and effectiveness of sentinel lymph node (SLN) detection in the ovarian neoplasms.Methods:A search of the literature describing ovarian SLN was performed using China National Knowledge Infrastructure (CNKI), WANFANG DATA, VIP, PubMed, Embase, web of science, Cochrane library from 2000.01.01 to 2020.07.29. The quality evaluation and data extraction of the included literature were conducted, and the development rate, sensitivity and negative predictive value of SLN were calculated.Results:Eight prospective single-arm studies were included, with heterogeneity I2=57.41%>50%, and the P<0.1. A total of 96 patients with ovarian cancer [Stage International Federation of Gynecology and Obstetrics (FIGO)Ⅰ-Ⅱ] were included, of whom 93 completed systematic pelvic and para-aortic lymphadenectomy after SLN detection. The most common tracers were technetium-99m radioactive colloid ( 99Tc m), blue dye or indocyanine green (ICG), and the most common injection sites were the infundibulopelvic ligaments and the proper ovarian ligaments. The SLN detection rate was 88.5%(85/96) and the average number was 2-3. SLN was found in the ipsilateral or contralateral regions of the tumor, 40.8%(31/76) was found only in the para-aortic, 14.5%(11/76) was found only in the pelvic, and 44.7%(34/76) was found only in the para-aortic and pelvic region. The sensitivity was 90.9%(10/11) and the negative predictive value was 98.8%(82/83) of lymph node metastasis. Conclusions:SLN detection for ovarian neoplasms is feasible, and whether it can effectively predict lymph node status of ovarian cancer still needs large sample, multi-center, prospective clinical studies to further verify.
