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Identification of a low risk population for parametrial invasion in patients with early-stage cervical cancer

Authors :
Yohann Dabi
Claire Willecocq
Marcos Ballester
Xavier Carcopino
Sofiane Bendifallah
Lobna Ouldamer
Vincent Lavoue
Geoffroy Canlorbe
Emilie Raimond
Charles Coutant
Olivier Graesslin
Pierre Collinet
Alexandre Bricou
Cyrille Huchon
Emile Daraï
Bassam Haddad
Cyril Touboul
For the Groupe de Recherche FRANCOGYN
Source :
Journal of Translational Medicine, Vol 16, Iss 1, Pp 1-9 (2018)
Publication Year :
2018
Publisher :
BMC, 2018.

Abstract

Abstract Background Recent studies have challenged radical procedures for less extensive surgery in selected patients with early-stage cervical cancer at low risk of parametrial invasion. Our objective was to identify a subgroup of patients at low risk of parametrial invasion among women having undergone surgical treatment. Methods Data of 1447 patients with cervical cancer treated between 1996 and 2016 were extracted from maintained databases of 10 French University hospitals. Patients with early-stage (IA2–IIA) disease treated by radical surgery including hysterectomy and trachelectomy, were selected for further analysis. The Kaplan–Meier method was used to estimate the survival distribution. A Cox proportional hazards model including all the parameters statistically significant in univariate analysis, was used to account for the influence of multiple variables. Results Out of the 263 patients included for analysis, on final pathology analysis 28 (10.6%) had parametrial invasion and 235 (89.4%) did not. Factors significantly associated with parametrial invasion on multivariate analysis were: age > 65 years, tumor > 30 mm in diameter measured by MRI, lymphovascular space invasion (LVSI) on pathologic analysis. Among the 235 patients with negative pelvic lymph nodes, parametrial disease was seen in only 7.6% compared with 30.8% of those with positive pelvic nodes (p

Details

Language :
English
ISSN :
14795876
Volume :
16
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Translational Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.509ff5dff66e4f09931550428e75cca9
Document Type :
article
Full Text :
https://doi.org/10.1186/s12967-018-1531-6