Project ID: FFP121/BE01
Start Date: 01/01/2022
End Date: 31/12/2022
Dunded Under: Fundació Dr. Ferran
Overall Budget: € 3.000
Partners:
- Hospital de Tortosa Verge de la Cinta (HTVC) – Proyect Coordinator
- Universidad De Las Palmas De Gran Canaria (ULPGC)
Introduction
Metastasis is the main cause of death in most cancers. In breast cancer, it occurs in 36% of diagnosed patients and, in those with distant metastases, the survival rate drops dramatically to 28%. Therefore, the search for specific prognostic biomarkers to determine the probability of developing metastases is of great interest. In recent years, the use of hyperspectral imaging (IHS) in medicine has started to achieve promising results in cancer detection using machine learning algorithms. HSI processing sensors use specific vectors of radiance values associated with each image pixel, known as spectral signatures, to automatically differentiate between observed materials. This project aims to identify IHS spectral signatures obtained from primary tumour samples capable of predicting relapse due to distant metastasis in breast cancer patients over 10 years of follow-up after diagnosis.
