Validation of machine learning-based models to predict and explain the risk of ovarian cancer: a multicentric study on BRCA-mutated patients undergoing risk-reducing salpingo-oophorectomy
Our ML proposal explores the intricate relationships between multiple clinical variables, with a particular emphasis on understanding their non-linear associations. However, while our approach provides valuable insights into risk assessment for BRCA-mutated patients, its current predictive capacity does not significantly improve upon existing clinical models.
Authors
- Maria Colomba Comes (ORCID: https://orcid.org/0000-0003-2903-4389)
- Annarita Fanizzi (ORCID: https://orcid.org/0000-0002-2729-9896)
- Giorgia Russo (ORCID: https://orcid.org/0009-0004-1233-9850)
- Francesco Legge (ORCID: https://orcid.org/0000-0002-4733-0774)
- Serena Negri (ORCID: https://orcid.org/0000-0003-2991-8184)
- Vanesa Gregorc (ORCID: https://orcid.org/0000-0001-7168-9704)
- Francesca Arezzo (ORCID: https://orcid.org/0000-0002-8914-9594)
- Robert Fruscio (ORCID: https://orcid.org/0000-0001-5688-2194)
- Rosanna Mancari (ORCID: https://orcid.org/0000-0002-9726-3653)
- Raffaella Massafra (ORCID: https://orcid.org/0000-0001-8588-261X)
- Laura Vertechy (ORCID: https://orcid.org/0000-0002-1155-3888)
- Samantha Bove (ORCID: https://orcid.org/0000-0001-7772-7513)
- Adriana Ionelia Apostol (ORCID: https://orcid.org/0009-0008-4614-9261)
- Gennaro Cormio (ORCID: https://orcid.org/0000-0001-5745-372X)
- Claudia Marchetti
- Giovanni Scambia (ORCID: https://orcid.org/0000-0003-2758-1063)
- Vera Loizzi (ORCID: https://orcid.org/0000-0003-1568-4524)
Institutions
- Università Cattolica del Sacro Cuore (IT)
- Agostino Gemelli University Polyclinic (IT)
- Azienda Ospedaliera San Gerardo (IT)
- Istituto Tumori Bari (IT)
- Candiolo Cancer Institute (IT)
- Istituti di Ricovero e Cura a Carattere Scientifico (IT)
- University of Bari Aldo Moro (IT)
- University of Milano-Bicocca (IT)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-04-15
- DOI
- https://doi.org/10.3389/fonc.2025.1574037
- Primary Topic
- Ovarian cancer diagnosis and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Ministero della Salute