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Abstract #1570

Whole-Tumour Histogram Analysis of Multiple Diffusion Metrics for Meningiomas Grade

Dejun She1,2,3, Hao Huang1,2, Xiance Zhao4, and Dairong Cao1,2,3,5
1Department of Radiology, First Affiliated Hospital of Fujian Medical University, Fuzhou, China, 2Department of Radiology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China, 3Key Laboratory of Radiation Biology of Fujian higher education institutions, First Affiliated Hospital, Fujian Medical University, Fuzhou, China, 4Philips Healthcare, Shanghai, China, 5Department of Radiology, Fujian Key Laboratory of Precision Medicine for Cancer, First Affiliated Hospital of Fujian Medical University, Fuzhou, China

Synopsis

Keywords: Tumors, Diffusion/other diffusion imaging techniques, Meningiomas; Diffusion-weighted MRIAn accurate assessment of the World Health Organization grade is vital in meningiomas. While many studies have investigated the usefulness of conventional DWI and DTI for noninvasive grading intracranial meningiomas, there are neither any studies comparing three advanced diffusion model including DKI, MAP and NODDI with DTI for predicting meningioma grade. Thus, it is vital to evaluate whether these advanced models derived from diffusion spectrum imaging can also be beneficial in grading meningiomas. Our results suggested that whole tumour histogram analyses of the diffusion metrics from multiple diffusion models are promising methods in grading meningiomas.

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