Prediction of Germline BRCA 1/2 Genes From Healthy Ovaries
NCT05769517 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 6465
Last updated 2026-04-24
Summary
The project aims at enhancing performance metrics and prospectively validating a radiogenomics model based on ovarian US images for predicting germline breast cancer susceptibility gene 1 and/or 2 (BRCA) status in women with healthy ovaries. The project is divided in two operational phases:
Model development phase (ambispective)
AIM 1: To define and implement a proper and fine-tuned image preprocessing pipeline on the existing dataset; AIM 2: To enlarge dataset size with new real images from different centers and apply data augmentation techniques, deep neural network models combined with the aforementioned handcrafted imaging features from radiomics analysis;
Implementation and validation phase (prospective)
AIM 3: To further cross-validate the predictive model on US images acquired prospectively in an observational multicenter study.
Conditions
- BRCA Mutation
- Ovarian Cancer
- Ultrasound Therapy; Complications
Interventions
- DIAGNOSTIC_TEST
-
Germinal BRCA
We will conduct a multicenter prospective observational study aimed at automatically implementing the predictive model and collecting US images of healthy ovaries from patients tested for germline BRCA pathogenetic variants according to current indications.
Sponsors & Collaborators
-
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
lead OTHER
Principal Investigators
-
Camilla Nero · Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Eligibility
- Sex
- FEMALE
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2023-03-20
- Primary Completion
- 2026-12-31
- Completion
- 2031-03-08
Countries
- Italy
Study Locations
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