3 results match your criteria: "Clinical Sciences Institute Luigi Sacco[Affiliation]"
Estimating risk of endometrial malignancy and other intracavitary uterine pathology in women without abnormal uterine bleeding using IETA-1 multinomial regression model: validation study.
Ultrasound Obstet Gynecol
April 2024
Department of Obstetrics and Gynecology, University Hospitals Leuven, Leuven, Belgium.
Article Synopsis
- The study aims to validate the IETA-1 polynomial regression model for predicting the risk of endometrial cancer and other uterine pathologies in women without abnormal bleeding.
- The research involved a retrospective analysis using a cohort of 1,745 women, focusing on outcomes related to standardized transvaginal ultrasound examinations conducted between 2011 and 2018.
- Validation of the IETA-1 model relies on key predictors, including age, BMI, and ultrasound findings to predict four distinct histological outcomes, and the study analyzed the model's accuracy and calibration.
Ultrasound features of endometrial pathology in women without abnormal uterine bleeding: results from the International Endometrial Tumor Analysis study (IETA3).
Ultrasound Obstet Gynecol
August 2022
Department of Obstetrics and Gynecology, Clinical Sciences Institute Luigi Sacco, Milan, Italy.
Objectives: The primary aim of this study was to describe the ultrasound features of various endometrial and other intracavitary pathologies in women without abnormal uterine bleeding (AUB) using the International Endometrial Tumor Analysis (IETA) terminology. The secondary aim was to compare our findings with published data on women with AUB.
Methods: This was a prospective observational study of women presenting at one of seven centers specialized in gynecological ultrasonography, from 2011 until 2018, for indications unrelated to AUB.
Risk assessment for endometrial cancer in women with abnormal vaginal bleeding: Results from the prospective IETA-1 cohort study.
Int J Gynaecol Obstet
October 2022
Department of Development and Regeneration, KU Leuven, Leuven, Belgium.
Objective: To investigate the association between personal history, anthropometric features and lifestyle characteristics and endometrial malignancy in women with abnormal vaginal bleeding.
Methods: Prospective observational cohort assessed by descriptive and multivariable logistic regression analyses. Three features-age, body mass index (BMI; calculated as weight in kilograms divided by the square of height in meters), and nulliparity-were defined a priori for baseline risk assessment of endometrial malignancy.