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.

<h4>Objective</h4>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.<h4>Materials and method</h4>The FRANCOGYN group's multicenter...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c5121eb9a40489c8598d18c2fbe0324
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:2c5121eb9a40489c8598d18c2fbe0324
record_format	dspace
spelling	oai:doaj.org-article:2c5121eb9a40489c8598d18c2fbe03242021-12-02T20:16:46ZUsing 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.1932-620310.1371/journal.pone.0258783https://doaj.org/article/2c5121eb9a40489c8598d18c2fbe03242021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0258783https://doaj.org/toc/1932-6203<h4>Objective</h4>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.<h4>Materials and method</h4>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.<h4>Results</h4>277 patients from the FRANCOGYN cohort were included; 115 with no LNM and 162 with LNM. Three variables were independently and significantly (p<0.05) associated with LNM in multivariate analysis: pelvic and/or para-aortic LNM on CT and/or PET/CT (p<0.00), initial PCI ≥ 10 and/or diaphragmatic carcinosis (p = 0.02), and initial CA125 ≥ 500 (p = 0.02). The ROC-AUC of this prediction model after leave-one-out cross-validation was 0.72. There was no difference between the predicted and the observed probabilities of LNM (p = 0.09). Specificity for the group at high risk of LNM was 83.5%, the LR+ was 2.73, and the observed probability of LNM was 79.3%; sensitivity for the group at low-risk of LNM was 92.0%, the LR- was 0.24, and the observed probability of LNM was 25.0%.<h4>Conclusion</h4>This new tool may prove useful for improving surgical planning and provide useful information for patients.Camille MimounXavier PaolettiThomas GaillardAdrien CrestaniJean-Louis BeniflaMatthieu MezzadriSofiane BendifallahCyril TouboulAlexandre BricouYohann DabiGeoffroy CanlorbeYohan KerbageVincent LavouéLobna OuldamerLise LecointreCharles CoutantArnaud FauconnierRoman RouzierCyrille HuchonPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 10, p e0258783 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q 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 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.
description	<h4>Objective</h4>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.<h4>Materials and method</h4>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.<h4>Results</h4>277 patients from the FRANCOGYN cohort were included; 115 with no LNM and 162 with LNM. Three variables were independently and significantly (p<0.05) associated with LNM in multivariate analysis: pelvic and/or para-aortic LNM on CT and/or PET/CT (p<0.00), initial PCI ≥ 10 and/or diaphragmatic carcinosis (p = 0.02), and initial CA125 ≥ 500 (p = 0.02). The ROC-AUC of this prediction model after leave-one-out cross-validation was 0.72. There was no difference between the predicted and the observed probabilities of LNM (p = 0.09). Specificity for the group at high risk of LNM was 83.5%, the LR+ was 2.73, and the observed probability of LNM was 79.3%; sensitivity for the group at low-risk of LNM was 92.0%, the LR- was 0.24, and the observed probability of LNM was 25.0%.<h4>Conclusion</h4>This new tool may prove useful for improving surgical planning and provide useful information for patients.
format	article
author	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
author_facet	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
author_sort	Camille Mimoun
title	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.
title_short	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.
title_full	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.
title_fullStr	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.
title_full_unstemmed	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.
title_sort	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.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/2c5121eb9a40489c8598d18c2fbe0324
work_keys_str_mv	AT camillemimoun usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT xavierpaoletti usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT thomasgaillard usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT adriencrestani usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT jeanlouisbenifla usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT matthieumezzadri usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT sofianebendifallah usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT cyriltouboul usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT alexandrebricou usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT yohanndabi usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT geoffroycanlorbe usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT yohankerbage usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT vincentlavoue usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT lobnaouldamer usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT liselecointre usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT charlescoutant usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT arnaudfauconnier usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT romanrouzier usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup AT cyrillehuchon usinganewdiagnostictooltopredictlymphnodemetastasisinadvancedepithelialovariancancerleadstosimplelymphadenectomydecisionrulesamulticentrestudyfromthefrancogyngroup
_version_	1718374459792949248

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.

Ejemplares similares