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

by 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 Lavou é, Lobna Ouldamer, Lise Lecointre, Charles Coutant, Arnaud Fauconnier, Roman Rouzier, Cyrille Huchon 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 (p
Source: PLoS One - Category: Biomedical Science Authors: Source Type: research