北京生物醫(yī)學工程

基于 Hurst 指數(shù)的腦膠質(zhì)瘤分級方法

Grading method of gliomas based on Hurst index

作者：楊宇軒陶玲錢志余

單位：南京航空航天大學自動化學院(南京 211106)

關(guān)鍵詞：腦膠質(zhì)瘤；腫瘤分級；復(fù)雜度；赫斯特指數(shù)

分類號：R318.04

出版年·卷·期（頁碼）：2019·38·3（271-276）

摘要：

目的基于復(fù)雜度分析對膠質(zhì)瘤患者的磁共振大腦靜息態(tài)數(shù)據(jù)進行描述,尋找基于復(fù)雜度分析的腫瘤分級的客觀指標? 方法基于復(fù)雜度赫斯特( Hurst)指數(shù)分析方法對被試者大腦腫瘤 fMRI影像的功能信息進行提取和分析,并對腫瘤進行分級研究? 首先基于 MRIcro 軟件對患者腫瘤區(qū)域?對側(cè)正常區(qū)域以及正常對照組的腫瘤對應(yīng)區(qū)域進行提取;接著對提取出來的區(qū)域進行 Hurst 指數(shù)計算;然后對腫瘤區(qū)域及其對側(cè)正常區(qū)域的 Hurst 指數(shù)值進行統(tǒng)計分析,對腫瘤區(qū)域及對照組同區(qū)域的 Hurst 指數(shù)值進行統(tǒng)計分析;最后將 29 例腫瘤患者樣本按照病理等級進行分組,其中一級腫瘤患者 10 例,二級腫瘤患者 7 例,三?四級腫瘤患者各 6 例,對不同組別的 Hurst 指數(shù)進行雙樣本統(tǒng)計分析? 結(jié)果被試腫瘤區(qū)域的 Hurst 指數(shù)值與腫瘤等級成正比關(guān)系,腫瘤等級越高 Hurst 指數(shù)值越大? 統(tǒng)計分析表明不同級別腫瘤區(qū)域的 Hurst 指數(shù)差異具有統(tǒng)計學意義? 低級別腫瘤 Hurst 指數(shù)范圍為 0.6381~0.6737,高級別腫瘤 Hurst 指數(shù)范圍為 0.751 4 ~ 0.819 4? 結(jié)論 Hurst 指數(shù)分析方法可以區(qū)分低級別和高級別膠質(zhì)瘤,可以為更細致的膠質(zhì)瘤的等級劃分提供幫助?

Objective To describe the MRI brain rest data of glioma patients based on complexity analysis,and to find objective indicators of tumor grading based on complexity analysis Methods Based on the complexity of the Hurst index analysis method,the functional information of fMRI images of brain tumors was extracted and analyzed,and the tumors were graded. Firstly,based on the MRIcro software,the correspondingregions of the tumor in the patient’ s tumor region,contralateral normal region,and normal control group were extracted;then the Hurst index was calculated for the extracted region;then the Hurst index value of the tumor region and its contralateral normal region was performed. Statistical analysis was performed on the Hurst index values in the same region of the tumor region and the control group. Finally,29 tumor patients were grouped according to pathological grade,including 10 primary tumor patients,7 secondary tumor patients,6 third? and fourth?grade tumor patients, and two?sample statistical analysis was performed on the Hurst index of different groups. Results The Hurst index value of the tumor region was proportional to the tumor grade. The higher the tumor grade was, the higher the Hurst index value was. The statistical analysis showed that the Hurst index of the tumor areas at different levels was significantly different. The Hurst index ranged from 0.6381 to 0.6737 in low?grade tumors,and from 0.7514 to 0.8194 in high?grade tumors. Conclusions The Hurst index analysis method can distinguish between low?grade and high?grade gliomas,and can provide help for more detailed classification of gliomas.

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