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Abstract #2914

Grading meningiomas using mono-exponential, bi-exponential and stretched exponential model-based diffusion-weighted MR imaging

Lin Lin1,2, Yunjing Xue2, Qing Duan2, Xiaodan Chen3, Zhongshuai Zhang4, Daoying Geng1, and Jun Zhang1

1Radiology, Fudan Huashan Hospital, Shanghai, China, 2Fujian Medical University Union Hospital, Fuzhou, China, 3Radiology, Fujian Cancer Hospital&Fujian Medical University Cancer Hospital, Fuzhou, China, 4MR scientific marketing, Siemens Healthcare, Shanghai, China

Accurate grading is crucial to determine therapeutic strategies and to evaluate the prognosis, but no specific feature of conventional MRI has been found to be reliable in predicting the grade of the tumor. This study prospectively evaluated and compared the potential of various diffusion metrics obtained from mono-exponential model (MEM), bi-exponential model (BEM) and stretched exponential model (SEM)-based diffusion-weighted imaging (DWI) in the grading of meningiomas. It was found that different models of DWI (MEM, BEM, and SEM) are useful in the differentiation between high-grade and low-grade meningiomas. However, D obtained from BEM is the most promising diffusion parameter for predicting the grade of meningiomas.

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