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11 - Computer Science and Informatics
Imperial College London
A Bayesian Hierarchical Model for the Analysis of a Longitudinal Dynamic Contrast-Enhanced MRI Oncology Study
<33>This is in collaborative with industry (GSK), focussing on kinetic modelling for dynamic contrast enhanced MRI using mixed-effect models that are more suitable for longitudinal studies, which are essential for cancer patient follow-ups for assessing the efficacy of therapeutic regimes. Hypothesis testing at the study level for an overall treatment effect is made possible and the method is validated with a breast cancer study, where the subjects were imaged before and after two cycles of chemotherapy, demonstrating the clinical potential of this method to longitudinal oncology studies. The 1st author obtained a professorship at the highly rated Ludwig-Maximilians-University in Germany.