Molecular/genomic profiling is the most accurate method to assess the prognosis of endometrial cancer patients. Interestingly, the adoption of radiomics showed important results, across various oncologic specialties. Radiomic allows extracting mineable high-dimensional data from clinical images, thus providing a number of noteworthy information of the tumor tissues. We aim to correlate radiomic features obtained from ultrasound images with the molecular/genomic profiling to identify new hallmarks for stratification of endometrial cancer patients into different classes of risk The central hypothesis is that combining radiomic features might allow identifying various classes of risk for endometrial cancer. The rationale for the proposed research is that once validated, radiomics applied to ultrasonographic images would be an effective, innovative, and cheap method for tailor operative and postoperative treatment modality in endometrial cancer.

Inclusion Criteria:

(i) preoperative endometrial cancer (any histology); (ii) preoperative ultrasonographic examination; (iii) surgical treatment; (iv) age >= 18 years; (v) signed informed consent for research purposes.

Exclusion Criteria:

(i) consent withdraw; (ii) lack of available (tumor) tissue for molecular/genomic profiling.

Patients affected by endometrial cancer