Radiomics and Machine Learning in the Diagnosis of Ovarian Masses

Plain-language summary

This study used radiomics and machine learning based on ultrasound imaging to help diagnose ovarian (adnexal) masses. It enrolled patients over 17 years of age who were scheduled for surgery and had a transvaginal ultrasound within 6 weeks before surgery. It was a study with no assigned phase and has been completed.

The summary above is a plain-language rendering of the official record. The original English title is shown for reference.

Trial details

Phase

N/A

Status

Completed

Sponsor

Fondazione IRCCS Istituto Nazionale dei Tumori, Milano

Intervention

Ultrasound

Start date

7/22/2020

Estimated completion

12/31/2023

Countries

Italy

Related genes

Locations

• Milan, Italy

Eligibility criteria

Criteria are reproduced from the ClinicalTrials.gov record in the original English. Only the trial team can determine eligibility.

Inclusion Criteria:

* Patients scheduled for surgery for adnexal masses
* Transvaginal ultrasound available within 6 weeks before surgery
* Age \>17 yeras

Exclusion Criteria:

* Pregnancy
* Consent withdraw