Related Experiment Video

Updated: May 31, 2025

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells
09:48

An Orthotopic Endometrial Cancer Model with Retroperitoneal Lymphadenopathy Made From In Vivo Propagated and Cultured VX2 Cells

Published on: September 12, 2019

8.0K

Association between treatment center volume and survival of endometrial cancer patients: A multicenter study: A

Jerome Lorenzini1, Flavie Arbion2, Cyril Touboul3

  • 1Department of Gynaecology, Centre Hospitalier Universitaire de Tours, Tours, France; INSERM U1069 Université François-Rabelais, Tours, France.

European Journal of Obstetrics, Gynecology, and Reproductive Biology
|January 24, 2025
PubMed
Abstract

Keywords:
Endometrial cancerRecurrenceSurgical volumeSurvival

More Related Videos

Fertility Sparing Procedure using Carbon Dioxide Fiber Laser Vaporization of Ovarian Endometrioma06:24

Fertility Sparing Procedure using Carbon Dioxide Fiber Laser Vaporization of Ovarian Endometrioma

Published on: July 6, 2022

4.6K
Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy05:52

Sentinel Lymph Node Mapping and Biopsy for Endometrial Cancer at Early Stage with Laparoscopy

Published on: August 19, 2021

11.2K

Related Concept Videos

Cancer Survival Analysis01:21

Cancer Survival Analysis

Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
327
Kaplan-Meier Approach01:24

Kaplan-Meier Approach

The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...
83
Comparing the Survival Analysis of Two or More Groups01:20

Comparing the Survival Analysis of Two or More Groups

Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
140