罗和川,程维琴,高思婕,何玲.体素内不相干运动成像用于脑胶质瘤分级:Meta分析[J].中国医学影像技术,2021,37(6):852~856
体素内不相干运动成像用于脑胶质瘤分级:Meta分析
Intravoxel incoherent motion imaging in grading of brain gliomas: Meta-analysis
投稿时间:2020-03-13  修订日期:2020-10-20
DOI:10.13929/j.issn.1003-3289.2021.06.012
中文关键词:  神经胶质瘤  弥散磁共振成像  诊断,鉴别  荟萃分析
英文关键词:glioma  diffusion magnetic resonance imaging  diagnosis, differential  meta-analysis
基金项目:
作者单位E-mail
罗和川 重庆医科大学附属儿童医院放射科 儿童发育疾病研究教育部重点实验室 儿科学重庆市重点实验室 国家儿童健康与疾病临床医学研究中心 儿童发育重大疾病国家国际科技合作基地, 重庆 400014  
程维琴 重庆医科大学附属儿童医院放射科 儿童发育疾病研究教育部重点实验室 儿科学重庆市重点实验室 国家儿童健康与疾病临床医学研究中心 儿童发育重大疾病国家国际科技合作基地, 重庆 400014  
高思婕 重庆医科大学附属儿童医院放射科 儿童发育疾病研究教育部重点实验室 儿科学重庆市重点实验室 国家儿童健康与疾病临床医学研究中心 儿童发育重大疾病国家国际科技合作基地, 重庆 400014  
何玲 重庆医科大学附属儿童医院放射科 儿童发育疾病研究教育部重点实验室 儿科学重庆市重点实验室 国家儿童健康与疾病临床医学研究中心 儿童发育重大疾病国家国际科技合作基地, 重庆 400014 heling508@sina.com 
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中文摘要:
      目的 以Meta分析方法评价体素内不相干运动(IVIM)成像参数真性扩散系数(D)、假性扩散系数(D*)及灌注分数(f)鉴别高、低级别脑胶质瘤的价值。方法 检索EMbase、PubMed、中国生物医学文献数据库、中国知网、万方医学网和维普数据库中自建库至2020年2月关于IVIM各参数鉴别诊断高、低级别脑胶质瘤的相关文献,依据纳入及排除标准筛选文献。以Metadisc 1.4及STATA 15.1软件行Meta分析。结果 共13篇文献(中文8篇,英文5篇)纳入研究,包括590例患者,其中350例高级别、240例低级别脑胶质瘤患者。D、D*、f对分级诊断高、低级别脑胶质瘤无明显阈值效应(r=0.609、-0.387、-0.091,P=0.074、0.214、0.790)。异质性分析结果显示文献间无明显异质性,故采用固定效应模型进行分析。D、D*及f鉴别诊断高、低级别脑胶质瘤的合并敏感度分别为0.86[95%CI(0.81,0.89)]、0.81[95%CI(0.76,0.85)]及0.80[95%CI(0.75,0.84)],合并特异度分别为0.74[95%CI(0.67,0.80)]、0.75[95%CI(0.69,0.81)]及0.80[95%CI(0.74,0.85)];综合受试者工作特征(SROC)曲线结果示D、D*及f的曲线下面积(AUC)分别为0.898、0.860级0.874。结论 IVIM参数D、D*、f值对鉴别诊断高、低级别脑胶质瘤均有一定临床应用价值,且三者诊断效能相当。
英文摘要:
      Objective To observe the diagnostic value of intravoxel incoherent motion (IVIM) imaging parameters true diffusion coefficient (D), pseudo-diffusion coefficient (D*) and perfusion fraction (f) in differentiating high and low grade brain gliomas with meta-analysis. Methods Literature concerning IVIM parameters for differential diagnosis of high and low grade brain gliomas were searched in the EMbase, PubMed, CBMdisc, CNKI, Wanfang Med Online and VIP databases from the time of database establishment to February 2020, and then screened according to inclusion and exclusion criteria. Meta-analysis was performed using Metadisc 1.4 and STATA 15.1 software. Results Totally 13 articles (8 in Chinese and 5 in English) and 590 cases of brain gliomas were enrolled, including 240 cases of low grade and 350 cases of high grade brain gliomas. D, D* and f had no obvious threshold effect in differentiating high and low grade brain gliomas (r=0.609, -0.387, -0.091; P=0.074, 0.214, 0.790). According to the heterogeneity test, there was no heterogeneity among 13 articles, and the fixed-effect model was used for analysis. The summary sensitivity of D, D* and f for differential diagnosis of high and low grade brain gliomas was 0.86 (95%CI[0.81, 0.89]), 0.81 (95%CI[0.76, 0.85]) and 0.80 (95%CI[0.75, 0.84]), respectively, and the summary specificity was 0.74 (95%CI[0.67, 0.80]), 0.75 (95%CI[0.69, 0.81]) and 0.80 (95%CI[0.74, 0.85]), respectively. The summary receiver operating characteristics (SROC) curve showed that the area under the curve (AUC) of D, D* and f was 0.898, 0.860 and 0.874, respectively. Conclusion IVIM parameters D, D* and f values had certain clinical application value for differential diagnosis of high and low grade of brain gliomas, and their diagnostic efficacies were similar.
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