Abstract #0726
Differentiating Low- and High-Grade Pediatric Brain Tumors Using a Continuous Random Walk Diffusion Model at High b -Values
Muge Karaman 1 , Yi Sui 1,2 , He Wang 3 , Richard L Magin 2 , Yuhua H Li 4 , and Xiaohong Joe Zhou 1,5
1
Center for MR Research, University of
Illinois at Chicago, Chicago, IL, United States,
2
Bioengineering,
University of Illinois at Chicago, Chicago, IL, United
States,
3
Philips
Research China, Shanghai, China,
4
Radiology,
Xinhua Hospital, Shanghai, China,
5
Departments
of Radiology, Neurosurgery, and Bioengineering,
University of Illinois at Chicago, Chicago, IL, United
States
Differentiation of low-grade and high-grade brain tumors
with the use of non-invasive imaging methods is
important for the planning of optimal treatment,
especially for the pediatric brain tumors that can be
difficult to biopsy. Diffusion heterogeneity that
reflects the underlying tissue structures may not be
accurately captured by a simple diffusion imaging
technique that uses a mono-exponential diffusion model
to produce an ADC value. In this study, we show that the
diagnostic accuracy of differentiating low-grade and
high-grade pediatric brain tumors can be improved by
using continuous random walk diffusion model that
provides a more complete description of heterogeneous
structures.
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