發(fā)布時間：2018-04-30 23:17

  本文選題：基于血氧水平依賴的功能磁共振成像 + 膠質(zhì)瘤��； 參考：《南京航空航天大學(xué)》2014年碩士論文

【摘要】：神經(jīng)膠質(zhì)瘤是大腦中最為常見且危害最為嚴(yán)重的腫瘤病癥,臨床缺乏有效的根治方法。神經(jīng)膠質(zhì)瘤具有彌漫性生長的特性,對認(rèn)知功能的影響往往隨著占位位置的改變而存在差異性,給臨床醫(yī)生制定有效的手術(shù)計(jì)劃,同時最大程度地保護(hù)認(rèn)知功能帶來挑戰(zhàn)。基于血氧水平依賴的功能磁共振成像(blood oxygenation level-dependent functional magnetic resonance imaging,BOLD-f MRI)技術(shù)具有無創(chuàng)、高時空分辨率等多重優(yōu)勢,已成為腦功能研究的重要工具。而靜息態(tài)BOLD-f MRI(resting state blood oxygenation level-dependent functional magnetic resonance imaging,RS-f MRI)不需要復(fù)雜精細(xì)的實(shí)驗(yàn)設(shè)計(jì),也不需要患者進(jìn)行任務(wù)配合,更易被醫(yī)生和患者接受,也更適合臨床上的研究與應(yīng)用。本文通過BODL-f MRI對膠質(zhì)瘤的分級和功能代償進(jìn)行系統(tǒng)研究,為膠質(zhì)瘤診斷和治療提供更多參考信息,便于制定更為合理的臨床手術(shù)計(jì)劃。論文研究內(nèi)容及主要創(chuàng)新點(diǎn)如下:1.基于支持向量機(jī)(support vector machine,SVM)的膠質(zhì)瘤分級研究。首先基于RS-f MRI構(gòu)建膠質(zhì)瘤特征參數(shù),包括信號強(qiáng)度差異比(signal intensity difference ratio,SIDR)、信號強(qiáng)度相關(guān)性(signal intensity correlation,SIC)、低頻振幅分?jǐn)?shù)(fractional amplitude of low-frequency fluctuation,f ALFF)和局域一致性(regional homogeneity,Re Ho),然后利用Mann-Whitney U檢驗(yàn)對各參數(shù)與高低級別膠質(zhì)瘤之間的差異性進(jìn)行檢驗(yàn),最后通過SVM對各個參數(shù)的分級準(zhǔn)確性、敏感性和特異性進(jìn)行分析。研究結(jié)果表明,SIC和f ALFF參數(shù)在高低級別之間具有顯著性差異,SIC具有最優(yōu)的SVM分類效果,分類準(zhǔn)確率為89%,其他各個參數(shù)的分類準(zhǔn)確性、敏感性和特異性都超過了50%。2.基于靜息態(tài)腦功能網(wǎng)絡(luò)(resting state network,RSN)的額葉膠質(zhì)瘤病人代償機(jī)制研究。首先基于左額葉膠質(zhì)瘤病人、右額葉膠質(zhì)瘤病人和健康對照組的RS-f MRI數(shù)據(jù),分別構(gòu)建出大腦功能網(wǎng)絡(luò),并計(jì)算出各個網(wǎng)絡(luò)的全腦、左腦和右腦的節(jié)點(diǎn)度(K)和介數(shù)中心度(BC)參數(shù);其次對各個網(wǎng)絡(luò)的核心節(jié)點(diǎn)進(jìn)行比較,分析各個網(wǎng)絡(luò)的核心節(jié)點(diǎn)差異;最后將病人的網(wǎng)絡(luò)參數(shù)與MMSE評分進(jìn)行相關(guān)性分析。研究結(jié)果表明,額葉腫瘤患者病灶側(cè)的K值和BC值始終低于對側(cè)正常區(qū)域,同時大腦的核心節(jié)點(diǎn)也呈現(xiàn)出向?qū)?cè)正常區(qū)域轉(zhuǎn)移的趨勢;從MMSE評分與大腦網(wǎng)絡(luò)參數(shù)的相關(guān)性分析發(fā)現(xiàn),認(rèn)知功能與腦網(wǎng)絡(luò)參數(shù)存在顯著相關(guān)性。
[Abstract]:Glioma is the most common and serious tumor disease in the brain. Glioma has the characteristics of diffuse growth, and the influence on cognitive function is often different with the change of location, which brings challenges to clinicians in making effective operation plan and protecting cognitive function to the greatest extent. Blood oxygenation level-dependent functional magnetic resonance imaging based on blood oxygen level dependence has many advantages, such as noninvasive, high spatial and temporal resolution, and has become an important tool for the study of brain function. The rest BOLD-f MRI(resting state blood oxygenation level-dependent functional magnetic resonance imagingRS-f MRI does not require complicated and precise experimental design, nor does it need patients to cooperate with the task. It is more easily accepted by doctors and patients, and is more suitable for clinical research and application. In this paper, the grading and functional compensation of gliomas are systematically studied by BODL-f MRI, which provides more reference information for the diagnosis and treatment of gliomas and facilitates the establishment of a more reasonable clinical operation plan. The main contents and innovations of this paper are as follows: 1. A study of glioma classification based on support vector machine (SVM) vector machine machine (SVM). Firstly, the characteristic parameters of glioma were constructed based on RS-f MRI. These include signal intensity difference ratio, signal intensity correlation, fractional amplitude of low-frequency configuration of low frequency and local consistency. Then the differences between parameters and grades of gliomas are examined by Mann-Whitney U test. Finally, the classification accuracy, sensitivity and specificity of each parameter were analyzed by SVM. The results show that there are significant differences between the parameters of sic and f ALFF. Sic has the best effect of SVM classification, and the accuracy of classification is 89. The accuracy, sensitivity and specificity of the other parameters are more than 50.2. Study on compensatory Mechanism of frontal Glioma patients based on resting state Network. Firstly, based on the RS-f MRI data of patients with left frontal glioma, patients with right frontal gliomas and healthy controls, the brain functional networks were constructed, and the parameters of the whole brain, the nodal degree of the left brain and the right brain were calculated. Secondly, the core nodes of each network are compared, and the differences between the core nodes of each network are analyzed. Finally, the correlation between the patient's network parameters and the MMSE score is analyzed. The results showed that the K and BC values of the lesion side of frontal lobe tumor patients were always lower than those of the contralateral normal region, and the core nodes of the brain also showed a tendency of metastasis to the contralateral normal region. From the correlation analysis between MMSE scores and brain network parameters, it was found that cognitive function was significantly correlated with brain network parameters.
【學(xué)位授予單位】：南京航空航天大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：R739.41
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本文編號：1826671