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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

Author

Listed:
  • 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

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

Suggested Citation

  • Camille Mimoun & Xavier Paoletti & Thomas Gaillard & Adrien Crestani & Jean-Louis Benifla & Matthieu Mezzadri & Sofiane Bendifallah & Cyril Touboul & Alexandre Bricou & Yohann Dabi & Geoffroy Canlorbe, 2021. "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," PLOS ONE, Public Library of Science, vol. 16(10), pages 1-13, October.
    • Handle: RePEc:plo:pone00:0258783
    DOI: 10.1371/journal.pone.0258783
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