Abstract #2914

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

Lin Lin^1,2, 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.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.