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.
Who can participate
Inclusion Criteria:
Availability of gBRCA1/2 test results
Transvaginal pelvic US performed providing at least one picture of one healthy ovary
US images stored in .dicom format.
Exclusion Criteria:
Personal diagnosis of OC
Ovarian abnormal findings (eg. ovarian endometriomas, dermoid cyst, ovarian cystoadenofibroma, ovarian borderline tumour…) with the exception of functional cysts at pelvic US
gBRCA1/2 testing results nor provided by an ISO 1589 accredited laboratory
Refusal to provide written informed consent
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