Abstract #3544

Histogram Analysis of Magnetic Resonance Diffusion Imaging in Differentiating Glioma Mimicking Encephalitis from Encephalitis

Kai Zhao¹, Xiaoyue Ma¹, Ankang Gao¹, Eryuan Gao¹, Jinbo Qi¹, Peipei Wang¹, Guohua Zhao¹, Huiting Zhang², Guang Yang³, Jie Bai¹, Yong Zhang¹, and Jingliang Cheng¹

¹Department of MRI, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, ²Magnetic Resonance Scientific Marketing, Siemens Healthineers Ltd., Wuhan, China, ³Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China

Synopsis

Keywords: Tumors, Tumor, Inflammation Diffusion/Other Diffusion Imaging TechniquesGlioma Mimicking Encephalitis is difficult to be differentiated from Encephalitis by conventional MRI. In this study, 18 patients with diagnosed glioma and 15 patients with encephalitis were included. Their DWI images were processed to obtain the histogram of the parameter maps of DKI, DTI, NODDI, and MAP. We use lasso regression to fit the diagnostic models, and the diagnostic performance of different models were compared. We find no significant difference in the AUC between the single and combined diffusion lasso models. Any of the models could be individually used for differentiating glioma mimicking encephalitis from encephalitis.

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