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.
Study Type
OBSERVATIONAL
Enrollment
6,465
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.
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Rome, Italy
RECRUITINGRadiogenomics model for predicting germline breast cancer.
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.
Time frame: 96 months
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