DIETI Contact person / Partner: Carlo Sansone
Abstract
Sentinel node (SLN) biopsy is used to stage patients with early-stage breast cancer with clinically negative axillary nodes, but it is invasive and with complications. To overcome such issues this research aims to predict SLNs metastasis using radiomics on T1w-MRI of the native tumor, even in combination with histological features and patients clinical data, supporting treatment decision by providing a non-invasive approach in clinical routine.
Objectives
Development of a radiomic platform to predict sentinel nodes metastasis in a non-invasive ways using artificial intelligence-based methods extracting information from T1w-MR scans and patient clinical data.
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Already assigned to a PhD student of cycle XXXV