Complex, image analysis derived big-data employed to stratify colorectal cancer patients

University of St Andrews

Active award

Student: Ines Nearchou

Year Award Started: 2016

Patients with colorectal cancer (CRC) are grouped according to X-ray, clinical and pathology characteristics. Clinical staging predicts disease progression; higher stage correlates to a worse prognosis. However, while useful for groups it can be poor at predicting the outcome of an individual patient within the same stage. For example, stage II patients are considered cured after surgery, yet on average 30% die of CRC. It is imperative to identify these high-risk stage II patients in order to assess if further treatment could be beneficial to their overall survival.

Research area: Cancer


Dr Peter Caie
School of Medicine
Professor David Harrison
School of Medicine

Indica Labs Inc