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Predictors of uncommon location of sentinel nodes in endometrial and cervical cancers

Authors :
Yfat Kadan
Alexandra Baron
Yoav Brezinov
Alon Ben Arie
Ami Fishman
Mario Beiner
Source :
Gynecologic Oncology Reports, Vol 39, Iss , Pp 100917- (2022)
Publication Year :
2022
Publisher :
Elsevier, 2022.

Abstract

Objective: Sentinel node mapping is widely used in the treatment of gynecologic cancers. The current study aimed to identify predictors of uncommon sentinel lymph node (SLN) locations. Methods: The current study included women who were operated for endometrial or cervical cancer with attempted sentinel lymph node mapping during surgical staging. Data were collected from electronic charts. The pelvis and the external ilia and obturator basins were common node locations. Para-aortic, pre-sacral, common iliac, internal iliac, and parametrial nodes were considered uncommon locations. We conducted analyses stratified according to common, uncommon, and very uncommon (para-aortic, pre-sacral, parametrial) node location sites. Results: A total of 304 women were enrolled in the current study; 15.8% had SLN in uncommon locations and 4.3% had very uncommon node locations. Body mass index (BMI) was a negative predictor for uncommon SLN locations (OR 0.88, p = 0.03). The use of either indocyanine green (ICG) or Tc99 & blue dye was an independent predictor for uncommon SLN locations (OR 8.24, p = 0.006). More recent surgeries and the presence of positive nodes were independent predictors for very uncommon node locations (OR 2.13, p = 0.011, and OR 9.3, p = 0.002, respectively). Conclusions: BMI, tracer type, surgical year, and positive nodes were independent predictors for uncommon SLN locations. These findings suggest that surgical effort, technique and experience may result in better identification of uncommon SLN locations.

Details

Language :
English
ISSN :
23525789
Volume :
39
Issue :
100917-
Database :
Directory of Open Access Journals
Journal :
Gynecologic Oncology Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.699c9bedacbe44f0b8e6fe36b1751aa5
Document Type :
article
Full Text :
https://doi.org/10.1016/j.gore.2021.100917