Alessandra Introvaia
Artificial Intelligence-based prediction of treatment response to neoadjuvant chemoradiotherapy in colorectal cancer patients using digital pathology.
Rel. Samanta Rosati, Valentina Giannini. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Biomedica, 2023
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Abstract
Colorectal cancer (CRC) is the third most common cancer in humans, and affects mainly people from developed countries. This cancer arises from polyps, which may turn into tumours after growing for 10-20 years. The diagnosis of CRC is performed through examination of a sample obtained from a biopsy. Currently, CRCs are treated through surgical resection, often preceded by neoadjuvant chemoradiotherapy, an intervention aimed at reducing tumour size before the surgical procedure. However, only 30% of patients affected by CRC achieve a complete pathological response to this treatment. In the context of CRC diagnosis, Digital Pathology (DP) is a new and innovative research field that assists the pathologists by enabling the acquisition, visualisation and processing of histological images.
Specifically, biopsy specimens are manually processed and prepared for digitisation and visualisation
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