Endometrial cancer is the most common gynaecological malignancy in high income
countries and its incidence is rising. Whilst most women with endometrial cancer are …

Humans are exposed to a complex mix of man-made electric and magnetic fields (MFs) at
many different frequencies, at home and at work. Epidemiological studies indicate that there …

Background Stratifying high-risk histopathologic features in endometrial carcinoma is
important for treatment planning. Radiomics analysis at preoperative MRI holds potential to …

Objective Endometrial carcinoma is the most common gynecological tumor in developed
countries. Clinicopathological factors and molecular subtypes are used to stratify the risk of …

Simple Summary Our study showed the potential of whole tumor radio-genomic-based
analysis for the preoperative evaluation of endometrial cancer (EC). Since radio-genomics …

Prognostication is critical for accurate diagnosis and tailored treatment in endometrial
cancer (EC). We employed radiogenomics to integrate preoperative magnetic resonance …

Endometrial cancer (EC) is the most common gynecological tumor in developed countries,
and preoperative risk stratification is essential for personalized medicine. There have been …

Purpose To investigate radiomics and machine learning (ML) as possible tools to enhance
MRI-based risk stratification in patients with endometrial cancer (EC). Method From two …

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

Purpose To evaluate radiomic machine learning (ML) classifiers based on multiparametric
magnetic resonance images (MRI) in pretreatment assessment of endometrial cancer (EC) …