Unknown

Dataset Information

Differentiation of Low- and High-Grade Gliomas Using High b-Value Diffusion Imaging with a Non-Gaussian Diffusion Model.


ABSTRACT:

Background and purpose

Imaging-based tumor grading is highly desirable but faces challenges in sensitivity, specificity, and diagnostic accuracy. A recently proposed diffusion imaging method by using a fractional order calculus model offers a set of new parameters to probe not only the diffusion process itself but also intravoxel tissue structures, providing new opportunities for noninvasive tumor grading. This study aimed to demonstrate the feasibility of using the fractional order calculus model to differentiate low- from high-grade gliomas in adult patients and illustrate its improved performance over a conventional diffusion imaging method using ADC (or D).

Materials and methods

Fifty-four adult patients (18-70 years of age) with histology-proved gliomas were enrolled an

SUBMITTER: Sui Y 

PROVIDER: S-EPMC5018419 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature