Prediction of Germline BRCA 1/2 Genes From Healthy Ovaries

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.

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