應用化學位移影像於偵測大鼠神經膠質瘤之代謝物變化

邱豐茂

doi:10.6342/NTU.2013.02250

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College of Electrical Engineering & Computer Science > Graduate Institute of Biomedical Electronics and Bioinformatics

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應用化學位移影像於偵測大鼠神經膠質瘤之代謝物變化

The Utility of Chemical Shift Imaging in the Detection of the Metabolic Changes in a Rat Glioma Model

邱豐茂 , Masters　　Advisor：陳志宏　　Co-advisor ：張程

繁體中文 DOI： 10.6342/NTU.2013.02250

分子影像；化學位移影像；多形性神經膠母細胞瘤；代謝物； molecular imaging ； chemical shift imaging ； glioblastoma multiforme ； metabolites

Abstract │ Reference (28) │ Altmetrics

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Molecular imaging shall play an important role in the diagnosis for the personalized medicine in the future. Chemical shift imaging (CSI), one of molecular imaging techniques, provides us an opportunity to non-invasively assess the distribution and concentration of the metabolites of interest in different living tissues. In the case of brain diseases, CSI provides insight into the relationship between disease progress and metabolic changes. Therefore, CSI is an invaluable tool to reveal the mechanisms underlying the brain diseases and helpful in conducting the treatment plan.
Glioblastoma multiforme is an aggressive and fast-growing tumor cell in brain cancers, so it is a highly malignant brain cancer.　And it is the major of all brain cancer population. The treatment planning and the therapeutic evaluation have close relationship with the physiological characteristics, mechanism, and state of tumor cell. CSI provides the distributions of variable metabolites in the brain, and it can be used to observe physiological characteristics and state of the tissue to get key information.
The aim of this thesis is to establish the experimental standard procedure of the CSI. We’ve applied it to the rat model of glioblastoma multiforme. After the implantation of C6 glioma cells into the rat striatum, the metabolic changes and physiological status in the growing tumor and the contralateral normal tissue were observed by CSI. Our results showed neuronal loss in the tumor-implanted striatum with rapid growth and increased metabolic activity in C6 tumor, and hypoxia in the core of tumor.
Conclusively, our results demonstrate that CSI can be applied to detect the distribution of metabolites. From the results, it shows the potential of the quantification for the composition of tumor tissues. But there are still great room for improvements of the prolonged scan time and the low spatial resolution. For the above two problems, we’ll improve CSI technique on the pulse sequence and post-processing in the future.

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