Differentiation of Pediatric Brain Tumor Grades Using High b-Value Diffusion MRI with a Varying Diffusion Curvature Model
Jay Fu1, William Hou2, Muge Karaman3,4, and Xiaohong Joe Zhou3,4,5
1Watchung Hills Regional High School, Warren, NJ, United States, 2Montgomery High School, Skillman, NJ, United States, 3Center for MR Research, University of Illinois at Chicago, Chicago, IL, United States, 4Department of Bioengineering, University of Illinois at Chicago, Chicago, IL, United States, 5Departments of Radiology and Neurosurgery, University of Illinois at Chicago, Chicago, IL, United States
Imaging-based determination of tumor grade is highly desirable, particularly for pediatric brain tumors where surgical biopsy carries considerable risks. We have applied a novel diffusion model – varying diffusion curvature (VDC) model, with two b-value ranges (0-2000 sec/mm2 and 0-4000 sec/mm2), to differentiate between low- and high-grade pediatric brain tumors on 70 patients. Our results showed that the combination of the VDC parameters substantially outperformed the ADC for differentiating low- from -high grade pediatric brain tumors. Increasing the maximal b-value from 2000 to 4000 sec/mm2 did not noticeably improve the performance.
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