Abstract #4025

Differentiation of Pediatric Brain Tumor Grades Using High b-Value Diffusion MRI with a Varying Diffusion Curvature Model

Jay Fu¹, William Hou², Muge Karaman^3,4, and Xiaohong Joe Zhou^3,4,5

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

Synopsis

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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