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Abstract #1569

The Value of Diffusion Weighted Imaging in Predicting the Growth Pattern of Meningioma: A Retrospective Study

Hui Zheng1, Zongmeng Wang1, Lingmin Zheng1, Rufei Zhang1, Yang Song2, and Lin Lin1
1Fujian Medical University Union Hospital, Fuzhou, China, 2MR Scientific Marketing, Siemens, Healthineers Ltd., Shanghai, China

Synopsis

Keywords: Tumors, Diffusion/other diffusion imaging techniquesThe natural history of meningioma remains unclear and a simple, practical method is needed to identify fast growth tumors. This study evaluated correlations between clinical parameters, tumor growth rate (TGR), tumor volume doubling time (VDT), Ki-67 and relative apparent diffusion coefficient (rADC) derived from diffusion weighted imaging (DWI). The results showed that rADC was an independent predictive parameter of meningioma growth and baseline rADC had a good predictive ability for differentiating slow growth from fast growth meningioma. This suggests that in asymptomatic meningiomas, DWI might be a valuable predictive imaging method.

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Keywords