Development and Validation of Multiparametric MRI-based Radiomics Models for Preoperative Risk Stratification of Endometrial Cancer.

Background Stratifying high-risk histopathologic features in endometrial carcinoma is important for treatment planning. Radiomics analysis at preoperative MRI holds potential to identify high-risk phenotypes. Purpose To evaluate the performance of multiparametric MRI three-dimensional radiomics-based machine learning models for differentiating low- from high-risk histopathologic markers-deep myometrial invasion (MI), lymphovascular space invasion (LVSI), and high-grade status-and advanced-stage endometrial carcinoma.

Impact of a Multidimensional Technical Skills Training Session Before Obstetrics and Gynaecology Clerkship Rotation on Performance and Exposure.

Objective: This study sought to assess the impact of an obstetrics and gynaecology (OBGYN) multidimensional technical skills training session on medical student self-perceived confidence, objective performance, clinical exposure, and interest in OBGYN.

Methods: OBGYN clerkship students were divided into control (i.e.

Clinical significance of isolated tumor cells and micrometastasis in low-grade, stage I endometrial cancer.

Introduction: Ultrastaging in endometrial cancer (EC) led to increased detection of isolated tumor cells (ITC, ≤0.2 mm) and micrometastases (MM, 0.2-2 mm), with unclear effect on prognosis.

Endometrial Carcinoma: MR Imaging-based Texture Model for Preoperative Risk Stratification-A Preliminary Analysis.

Purpose To evaluate the associations among mathematical modeling with the use of magnetic resonance (MR) imaging-based texture features and deep myometrial invasion (DMI), lymphovascular space invasion (LVSI), and histologic high-grade endometrial carcinoma. Materials and Methods Institutional review board approval was obtained for this retrospective study. This study included 137 women with endometrial carcinomas measuring greater than 1 cm in maximal diameter who underwent 1.

Outcome of robotic surgery for endometrial cancer as a function of patient age.

Objective: This study aimed to evaluate and compare robot-assisted surgical staging on clinical outcomes, including quality of life and survival, as a function of patient age.

Methods: Evaluation and comparison of perioperative morbidity, survival, and postoperative quality of life after prospective accumulation of clinical information including outcome measures for patients with endometrial cancer during the first 5 years of a robotic program, based on the following 3 age categories: women older than 80 years, women between 70 and 80 years, and women younger than 70 years.

Results: All consecutive patients with endometrial cancer undergoing robotic surgery (n = 303) were included, with 197 women younger than 70 years, 75 women between 70 and 80 years, and 31 women older than 80 years.