1. Impact of lymphovascular space invasion on a nomogram for predicting lymph node metastasis in endometrial cancer
- Author
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Emmanuel Barranger, Emile Daraï, Patrick Aristizabal, Roman Rouzier, Dominique Luton, Karine Bassot, Olivier Graesslin, Françoise Clavel-Chapelon, Martin Koskas, Bassam Haddad, Risques cliniques et sécurité en santé des femmes et en santé périnatale (RISCQ), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Pathologies biliaires, fibrose et cancer du foie [CHU Saint-Antoine], Centre de Recherche Saint-Antoine (CR Saint-Antoine), Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), CIC Hôpital Bichat, Institut National de la Santé et de la Recherche Médicale (INSERM)-UFR de Médecine-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Centre Hospitalier Universitaire de Reims (CHU Reims), Service de gynécologie et obstétrique [Hopital Lariboisière - Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Lariboisière-Fernand-Widal [APHP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université de Paris (UP), Centre de recherche en épidémiologie et santé des populations (CESP), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris-Sud - Paris 11 (UP11)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Centre Hospitalier Intercommunal de Créteil (CHIC), Gynécologie-obstétrique et médecine de la reproduction - Maternité [CHU Tenon], CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Institut Curie [Paris]
- Subjects
Adult ,Risk ,Oncology ,medicine.medical_specialty ,Lymphovascular space invasion ,[SDV]Life Sciences [q-bio] ,medicine.medical_treatment ,Hysterectomy ,Nomogram ,Decision Support Techniques ,Metastasis ,03 medical and health sciences ,0302 clinical medicine ,Endometrial cancer ,Predictive Value of Tests ,Internal medicine ,medicine ,Humans ,Neoplasm Invasiveness ,Lymph node ,Aged ,Neoplasm Staging ,Aged, 80 and over ,Univariate analysis ,030219 obstetrics & reproductive medicine ,Receiver operating characteristic ,business.industry ,Obstetrics and Gynecology ,Middle Aged ,medicine.disease ,Lymphovascular ,Endometrial Neoplasms ,3. Good health ,Nomograms ,Logistic Models ,medicine.anatomical_structure ,ROC Curve ,Lymphatic Metastasis ,030220 oncology & carcinogenesis ,Multivariate Analysis ,Linear Models ,Lymph Node Excision ,Female ,Lymphadenectomy ,Prediction ,business - Abstract
International audience; Objective: The aim of this study was to evaluate the impact of lymphovascular space invasion (LVSI) on nomogram-based predictions of lymph node (LN) metastasis in endometrial cancer. Methods: The data from 485 patients with presumed stage I or II endometrial cancer who underwent hysterectomy and lymphadenectomy were analyzed. Calibration curves were designed and compared for three different subgroups: LVSI-positive tumors (n = 113), LVSI-negative tumors (n = 213) and LVSI-undetermined tumors (n = 159). Results: In the entire population, the nomogram showed good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.80 and was well calibrated. In the subgroup analyses, in LVSI-positive, LVSI-negative and LVSI-undetermined patients, the nomogram was not well calibrated (p of the U index of 0.028, 0.087 and 0.011, respectively) with underestimation in LVSI-positive patients and overestimation in LVSI-negative and LVSI-undetermined patients of LN metastasis. In the univariate analysis and after adjusting for the LN metastasis probability provided by the nomogram, LVSI-positive tumors were associated with an increased risk for LN metastasis compared with LVSI-negative tumors (RR = 7.29 [3.87-13.7] and 5.04 [2.30-11.08], respectively). In contrast, the univariate analysis and after adjusting for the LN metastasis probability provided by the nomogram showed that LVSI-undetermined tumors were not associated with an increased risk for LN metastasis compared with LVSI-negative tumors (RR = 0.73 [0.32-1.69] and 1.26 [0.47-3.37], respectively). Conclusions: Our results suggested that LVSI should be considered to be an independent risk factor for LN metastasis. In this multicenter study, the risk for LN metastasis is similar when the LVSI is negative or is not detailed in the pathological report.
- Published
- 2013