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Using a new diagnostic tool to predict lymph node metastasis in advanced epithelial ovarian cancer leads to simple lymphadenectomy decision rules: A multicentre study from the FRANCOGYN group.

Authors :
Camille Mimoun
Xavier Paoletti
Thomas Gaillard
Adrien Crestani
Jean-Louis Benifla
Matthieu Mezzadri
Sofiane Bendifallah
Cyril Touboul
Alexandre Bricou
Yohann Dabi
Geoffroy Canlorbe
Yohan Kerbage
Vincent Lavoué
Lobna Ouldamer
Lise Lecointre
Charles Coutant
Arnaud Fauconnier
Roman Rouzier
Cyrille Huchon
Source :
PLoS ONE, Vol 16, Iss 10, p e0258783 (2021)
Publication Year :
2021
Publisher :
Public Library of Science (PLoS), 2021.

Abstract

ObjectiveThe aim of this study was to develop a new diagnostic tool to predict lymph node metastasis (LNM) in patients with advanced epithelial ovarian cancer undergoing primary cytoreductive surgery.Materials and methodThe FRANCOGYN group's multicenter retrospective ovarian cancer cohort furnished the patient population on which we developed a logistic regression model. The prediction model equation enabled us to create LNM risk groups with simple lymphadenectomy decision rules associated with a user-friendly free interactive web application called shinyLNM.Results277 patients from the FRANCOGYN cohort were included; 115 with no LNM and 162 with LNM. Three variables were independently and significantly (pConclusionThis new tool may prove useful for improving surgical planning and provide useful information for patients.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
19326203
Volume :
16
Issue :
10
Database :
Directory of Open Access Journals
Journal :
PLoS ONE
Publication Type :
Academic Journal
Accession number :
edsdoj.2c5121eb9a40489c8598d18c2fbe0324
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pone.0258783