Caleb Roberts1,2, Josephine H. Naish1,2, Claire L. Mitchell3, Yvonne Watson1,2, Sue Cheung1,2, Gio A. Buonaccorsi1,2, Gordon C. Jayson3, John C. Waterton, 2,4, Jean Tessier4, Geoff J. Parker1,2
1Imaging Science and Biomedical Engineering, School of Cancer and Imaging Sciences, The University of Manchester, Manchester, United Kingdom; 2The University of Manchester Biomedical Imaging Institute, The University of Manchester, Manchester, United Kingdom; 3Cancer Research UK Dept Medical Oncology, Christie Hospital and University of Manchester, Manchester, United Kingdom; 4AstraZeneca, Alderley Park, Macclesfield, Cheshire, United Kingdom
While there is a good understanding of microvascular function and structure described by tracer kinetic model-based analyses of dynamic contrast-enhanced (DCE)-MRI data, the interpretation of apparent water diffusion coefficient (ADC) is less clear. Besides ADC, the parameter that is most sensitive to the water distribution and geometry is T1. In this study, we acquire DCE-MRI and diffusion weighted images from a group of ovarian tumors and find significant relationships between ADC, T1, and ve that offer insight into the physiological meaning of these parameters in ovarian tumors.