Applications of Diffusion-Weighted MR Imaging in Brain Tumors

博士 === 國立中山大學 === 生物醫學研究所 === 106 === Although magnetic resonance imaging (MRI) had been used to diagnose brain tumors for a long time, the differentiation of brain tumors is still difficult in some situations. In addition, it is difficult to predict recurrence of brain tumors on conventional qualit...

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Bibliographic Details
Main Authors: Ching-Chung Ko, 柯景中
Other Authors: Yow-Ling Shiue
Format: Others
Language:en_US
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/tytjh5
Description
Summary:博士 === 國立中山大學 === 生物醫學研究所 === 106 === Although magnetic resonance imaging (MRI) had been used to diagnose brain tumors for a long time, the differentiation of brain tumors is still difficult in some situations. In addition, it is difficult to predict recurrence of brain tumors on conventional qualitative MR imaging. Nowadays, the diffusion-weighted MR imaging (DWI) is already being incorporated into daily clinical practice in neuroradiology, and quantitative apparent diffusion coefficient (ADC) value could be acquired in DWI. Among brain tumors, the differentiation between glioblastoma multiforme (GBM) and primary cerebral lymphoma (PCL) is clinically important because treatment strategies of these two different diseases are substantially different. However, the differentiation of GBM and PCL is difficult on conventional MRI. On the other hand, although most meningiomas are benign brain tumors, a subset of benign skull base meningiomas show early progression/recurrence (P/R) in the first years after surgical resection. In this study, we will investigate the preoperative DWI and ADC values for differentiation between GBM and PCL, and for prediction of P/R in skull base meningiomas.