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

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 and Cyrille Huchon

PLOS ONE, 2021, vol. 16, issue 10, 1-13

Abstract: Objective: The 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 method: The 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. Results: 277 patients from the FRANCOGYN cohort were included; 115 with no LNM and 162 with LNM. Three variables were independently and significantly (p

Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0258783 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 58783&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0258783

DOI: 10.1371/journal.pone.0258783

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().