PCA of Combined DCE-MRI Data from a Large Cohort Can Be Used to Assess Treatment Effects with Similar Sensitivity to Pharmacokinetic Model Fitting

Matt Nathan Gwilliam¹, David John Collins¹, Martin O. Leach¹, Helen Young², Matthew R. Orton¹

DCE-MRI is widely used in clinical trials of antiangiogenic and vascular disrupting agents in the assessment of treatment response. Fitting pharmacokinetic models gives well defined measures of vascular function, but difficulties in obtaining a patient-specific AIF can cause additional errors on PK metrics. This abstract demonstrates that a model-free PCA approach is as sensitive to DCE-MRI treatment changes as model-based PK measures in a group of patients receiving a VEGF inhibitor.