Kyrre E. Emblem1,2, Ronald J, H. Borra1, Kim Mouridsen1, Atle Bjornerud2,3, Rakesh K. Jain4, Tracy T. Batchelor5, Gregory Sorensen1
1A. A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA, United States; 2The Interventional Center, Oslo University Hospital - Rikshospitalet, Oslo, Norway; 3Department of Physics, University of Oslo, Oslo, Norway; 4Department of Radiation Oncology, Massachusetts General Hospital, Boston, MA, United States; 5Pappas Center for Neuro-Oncology, Massachusetts General Hospital
Studies have shown that MR imaging can detect a period of vascular normalization during anti-VEGF therapy in patients with recurrent glioblastomas. Also, it has been shown that a vascular normalization index (VNI) can be derived from changes in vascular permeability (Ktrans) from DCE imaging and microvessel cerebral blood volume (CBV) from DSC imaging, among others, and that this VNI parameter is suggestive of patient outcome. In our study, we show that a single DSC-MRI acquisition combined with automatic post-processing routines can be used to derive a similar VNI parameter, thereby improving the clinical workflow.