Identifying Prognostic Markers of Oral Cancer Using a Novel Computational Microscopy Technique
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Oral cancer is a highly aggressive disease with a 5-year survival rate of less than 50%. After tumour removal, patients are referred for personalised follow-up treatments (e.g., radiotherapy) based on the prognosis of the resected tumour. This project aims to improve oral cancer prognosis using a novel computational microscopy technique. By mapping interwoven tissue structures in and around the tumour, we study the role of collagen fibre directionality (a recently recognised, promising cancer biomarker) and invasion patterns. If proven useful, our technique can be used to provide more personalised prognoses, ultimately leading to better treatment plans and improved patient survival.
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