As data-driven science, artificial intelligence (AI) has paved a promising path toward an
evolving health system teeming with thrilling opportunities for precision oncology …

Our understanding of tumour biology has evolved over the past decades and cancer is now
viewed as a complex ecosystem with interactions between various cellular and non-cellular …

Simple Summary Deep myometrial infiltration, clinical risk score, histological type, and
lymphovascular space invasion are important clinical variables that have significant …

Purpose To investigate the reproducibility of radiomics features extracted from two-
dimensional regions of interest (2D ROIs) versus whole lung (3D) ROIs in repeated in-vivo …

The staging of endometrial cancer is based on the International Federation of Gynecology
and Obstetrics (FIGO) staging system according to the examination of surgical specimens …

Background Pathologic lymphovascular space invasion (LVSI) is associated with poor
outcome in endometrial cancer. Its relationship with tumor stiffness, which can be measured …

Simple Summary Diffusion weighted imaging (DWI) is a magnetic resonance imaging
sequence with diverse clinical applications in malignant and nonmalignant gynecological …

Rationale and Objectives This study aims to assess the prognostic value of Cyclin-
dependent kinases 6 (CDK6) expression levels and establish a machine learning-based …

Objective: To develop and validate magnetic resonance (MR) imaging-based radiomics
models for high-risk endometrial cancer (EC) prediction preoperatively, to be able to …

Objective To develop and validate a multiparametric MRI-based radiomics model for
prediction of microsatellite instability (MSI) status in patients with endometrial cancer (EC) …