OBJECTIVE: To assess the agreement between preoperative endometrial sampling and
final diagnosis for tumor grade and subtype in patients with endometrial carcinoma. DATA …

Background Bayesian networks (BNs) are machine-learning–based computational models
that visualize causal relationships and provide insight into the processes underlying disease …

Objectives Endometrial carcinoma mortality is mainly caused by recurrent disease, and
various immunohistochemical markers to predict recurrences have been studied. Loss of the …

Objectives The global obesity epidemic has great impact on the prevalence of low-grade
endometrial carcinoma. The preoperative tumor serum marker cancer antigen 125 (CA-125) …

Objective To determine which doctor‐and patient‐related factors affect failure of outpatient
endometrial sampling in women with postmenopausal bleeding, and to develop a …

There is no consensus on the cutoff for positivity of estrogen receptor (ER) and progesterone
receptor (PR) in endometrial cancer (EC). Therefore, we determined the cutoff value for ER …

Importance Patients with low-grade (ie, grade 1-2) endometrial cancer (EC) are
characterized by their favorable prognosis compared with patients with high-grade (ie, grade …

Background Endometrial carcinoma is the most common gynaecologic malignancy in
industrialised countries and the incidence is still rising. Primary treatment is based on …

Aims For the diagnostic workup of postmenopausal bleeding, histological examination of the
endometrium is frequently performed. Failure of endometrial sampling due to insufficient …

The aim of this study was to define the concordance between tissue microarrays (TMAs) of
different sizes and whole slide for 15 different antibodies in endometrial cancer and study …