Radiomics and Molecular Classification in Endometrial Cancer

NCT06963385 · Status: ACTIVE_NOT_RECRUITING · Phase: NA · Type: INTERVENTIONAL · Enrollment: 250

Last updated 2025-05-09

No results posted yet for this study

Summary

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.

Conditions

Interventions

DIAGNOSTIC_TEST

Radiomics

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

Sponsors & Collaborators

  • Fondazione IRCCS Istituto Nazionale dei Tumori, Milano

    lead OTHER

Study Design

Allocation
NA
Purpose
DIAGNOSTIC
Masking
NONE
Model
SINGLE_GROUP

Eligibility

Min Age
18 Years
Sex
FEMALE
Healthy Volunteers
No

Timeline & Regulatory

Start
2021-01-15
Primary Completion
2026-12-31
Completion
2026-12-31

Countries

  • Italy

Study Locations

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Entities

Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06963385 on ClinicalTrials.gov