Computational pathology for diagnostic, prognostic and pathophysiological insights into inflammatory bowel disease
Study code
DAA102
Lead researcher
Dr Adam P. Levine
Study type
Data only
Institution or company
University College London
Researcher type
Academic
Speciality area
Gastroenterology
Summary
The inflammatory bowel diseases (IBD) are lifelong inflammatory diseases of the gastrointestinal tract that are relatively common affecting just under 1% of the UK population. Histopathological assessment of endoscopic biopsies and surgical resection specimens from IBD patients is vital for the diagnosis and monitoring of disease activity. This is presently limited to qualitative morphological assessment by pathologists. Computational analysis of digital whole slide images (WSIs) can enable rapid objective quantitative analyses of histomorphological features. This project involves the computational analysis of WSI alongside histopathology reports, clinical phenotype and genomic data. The objectives are to assess the ability of computational pathology integrated with clinical and genetic data to provide diagnostic and prognostic information and novel pathophysiological insights.