弥散张量成像的部分各项异性值和表观弥散系数值在胶质瘤分级中应用的Meta分析

doi:10.13481/j.1671-587x.20170219

吉林大学学报(医学版) ›› 2017, Vol. 43 ›› Issue (02): 311-316.doi: 10.13481/j.1671-587x.20170219

弥散张量成像的部分各项异性值和表观弥散系数值在胶质瘤分级中应用的Meta分析

侯睿哲¹, 赵颖佳², 刘艳³, 陈群帮¹, 付红¹, 陈井彦¹, 赵兴利¹

1. 吉林大学中日联谊医院神经外二科, 吉林长春 130033;
2. 吉林大学第二医院妇产科, 吉林长春 130041;
3. 吉林大学中日联谊医院超声科, 吉林长春 130033

收稿日期:2016-03-28 出版日期:2017-03-28 发布日期:2017-03-31
通讯作者: 赵兴利,教授,硕士研究生导师(Tel:0431-84995557,E-mail:zhaoxingli817@163.com) E-mail:zhaoxingli817@163.com
作者简介:侯睿哲(1987-),男,吉林省洮南市人,住院医师,医学硕士,主要从事中枢神经系统肿瘤循证医学方面的研究。
基金资助:
吉林省教育厅"十二五"科技项目资助课题（2012161）

Application of diffusion tensor imaging FA value and ADC value in glioma grading:AMeta-analysis

HOU Ruizhe¹, ZHAO Yingjia², LIU Yan³, CHEN Qunbang¹, FU Hong¹, CHEN Jingyan¹, ZHAO Xingli¹

1. Department of Neurosurgery, China-Japan Union Hospital, Jilin University, Changchun 130033, China;
2. Department of Obstetrics and Gynecology, Second Hospital, Jilin University, Changchun 130041, China;
3. Department of Ultrasound, China-Japan Union Hospital, Jilin University, Changchun 130033, China

Received:2016-03-28 Online:2017-03-28 Published:2017-03-31

摘要/Abstract

摘要： 目的：采用Meta分析方法阐明弥散张量成像（DTI）的部分各项异性（FA值）值和表观弥散系数（ADC）值在胶质瘤分级中应用的意义，为胶质瘤治疗方案的选择与预后判断提供参考。方法：计算机检索PubMed 数据库、EMBASE数据库、中国知网（CNKI）、万方数据库和维普数据库，手工检索神经外科学杂志、神经影像学杂志和有关神经外科的学术会议论文集，回溯检索综述性论文的参考文献，按纳入与排除标准选择病例系列研究、评价研究质量，采用Review Manager 5.2软件对所提取数据进行Meta分析。结果：共有9篇文献入选。低级别胶质瘤（LGG）肿瘤实质区的FA值低于高级别胶质瘤（HGG）肿瘤实质区的FA值，差异有统计学意义（χ²=11.94，df=8，P=0.15；I²=33%，Z=2.78，P=0.005；WMD_FA值=-0.02，95%CI：-0.03~-0.01）；LGG肿瘤实质区的ADC值高于HGG肿瘤实质区的ADC值，差异有统计学意义（χ²=5.26，df=4，P=0.26；I²=24%，Z=2.19，P=0.03；WMD_ADC值=0.15，95%CI：0.02~0.28）。结论：胶质瘤实质区FA值越大，ADC值越低，胶质瘤的级别越高；DTI的 FA值和ADC值有助于确定胶质瘤的分级。

关键词: 表观弥散系数, 弥散张量成像, 胶质瘤, 部分各向异性

Abstract: Objective: To clarify the significance of the fractional anisotropy(FA) value and apparent diffusion coefficient(ADC) value of diffusion tensor imaging(DTI) applied in the glioma grading with Meta-analysis, and to provide a reference for selecting the treatment program and judging the prognosis of glioma. Methods: Computer search was performed in PubMed database, EMBASE database,CBM, CNKI, Wanfang database, and VIP database.The relevant neurosurgery magazines and neuroimaging magazines, the proceedings of academic meeting were retrieved by hand and the references of related reviews were retrospectively retrieved.Then the case-series studies according to inclusion and exclusion criteria were screened,and the qualities of included studies were evaluated.Meta-analysis was carried out by Review Manager 5.2 software. Results: Nine studies were included.The FA value of low-grade glioma(LGG) in tumor centre was lower than that of high-grade glioma(HGG) (χ²=11.94,df=8,P=0.15;I²=33%,Z=2.78,P=0.005;WMD_FA=-0.02,95%CI:-0.03--0.01),and the ADC value of LGG in tumor centre was higher than that of HGG (χ²=5.26,df=4,P=0.26;I²=24%,Z=2.19,P=0.03;WMD_ADC=0.15,95%CI:0.02-0.28). Conclusion: When the FA value in tumor centre of the glioma is increasd,the ADC value is decreased,and the grade of glioma is increasd. The FA value and ADC value of DTI can help determine the grade of gliomas.

Key words: glioma, fractional anisotropy, diffusion tensor imaging, apparent diffusion coefficient

中图分类号:

R739.41

侯睿哲, 赵颖佳, 刘艳, 陈群帮, 付红, 陈井彦, 赵兴利. 弥散张量成像的部分各项异性值和表观弥散系数值在胶质瘤分级中应用的Meta分析[J]. 吉林大学学报(医学版), 2017, 43(02): 311-316.

HOU Ruizhe, ZHAO Yingjia, LIU Yan, CHEN Qunbang, FU Hong, CHEN Jingyan, ZHAO Xingli. Application of diffusion tensor imaging FA value and ADC value in glioma grading:AMeta-analysis[J]. Journal of Jilin University Medicine Edition, 2017, 43(02): 311-316.

参考文献

[1] 《中国中枢神经系统胶质瘤诊断和治疗指南》编写组.中国中枢神经系统胶质瘤诊断和治疗指南(2012)[J].中华医学杂志, 2013, 93(31):2418-2449.
[2] Stecco A, Pisani C, Quarta R, et al.DTI and PWI analysis of peri-enhancing tumoral brain tissue in patients treated for glioblastoma[J].J Neurooncol, 2011, 102(2):261-271.
[3] Abdullah KG, Lubelski D, Nucifora PG, et al.Use of diffusion tensor imaging in glioma resection[J].Neurosurg Focus, 2013, 34(4):E1.
[4] Byrnes TJ, Barrick TR, Bell BA, et al.Diffusion tensor imaging discriminates between glioblastoma and cerebral metastases in vivo[J].NMR Biomed, 2011, 24(1):54-60.
[5] De Belder FE, Oot AR, van Hecke W, et al.Diffusion tensor imaging provides an insight into the microstructure of meningiomas, high-grade gliomas, and peritumoral edema[J].J Comput Assist Tomogr, 2012, 36(5):577-582.
[6] Castillo M, Smith JK, Kwock L, et al.Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas[J].AJNR Am J Neuroradiol,2001, 22(1):60-64.
[7] 何光武,孟宪科,孙洪勋,等.大脑胶质瘤弥散张量磁共振成像定量研究[J].中国中西医结合影像学杂志,2005, 3(2):111-114.
[8] Morita K, Matsuzawa H, Fujii Y, et al.Diffusion tensor analysis of peritumoral edema using lambda chart analysis indicative of the heterogeneity of the microstructure within edema[J].J Neurosurg, 2005, 102(2):336-341.
[9] Stadlbauer A, Ganslandt O, Buslei R, et al.Gliomas:histopathologic evaluation of changes in directionality and imaging magnitude of water diffusion at diffusion-tensor MR[J].Radiology,2006, 240(3):803-810.
[10] 晏怡,唐文渊,邓朝霞,等.弥散张量成像(DTI)对肿瘤脑浸润的量化和应用[J].中国神经精神疾病杂志, 2008, 34(11):666-670.
[11] 李敏,贾中正,顾红梅,等.表观弥散系数值与部分各向异性值在脑星形胶质细胞瘤分级中的作用[J].中华医学杂志, 2008, 88(47):3352-3355.
[12] 蒋玲,姚振威,冯晓源.DTI定量参数对胶质瘤病理及治疗的评价[J].国际医学放射学杂志, 2011, 34(2):126-129.
[13] Cortez-Conradis D, Favila R, Isaac-Olive K, et al.Diagnostic performance of regional DTI-derived tensor metrics in glioblastoma multiforme:simultaneous evaluation of p, q, L, Cl, Cp, Cs, RA, RD, AD, mean diffusivity and fractional anisotropy[J].Eur Radiol, 2013, 23(4):1112-1121.
[14] Beppu T, Inoue T, Shibata Y, et al.Fractional anisotropy value by diffusion tensor magnetic resonance imaging as a predictor of cell density and proliferation activity of glioblastomas[J].Surg Neurol, 2005, 63(1):56-61.
[15] Kinoshita M, Hashimoto N, Goto T, et al.Fractional anisotropy and tumor cell density of the tumor core show positive correlation in diffusion tensor magnetic resonance imaging of malignant brain tumors[J].Neuroimage, 2008, 43(1):29-35.
[16] 彭娟,罗天友,方维东,等.ADC值和rADC值在脑星形细胞瘤分级诊断中的应用价值[J].实用放射学杂志, 2006, 22(4):398-401.
[17] NICE.Appendix 4 Quality of case series form[EB/OL].[2014-3-21].Available from URL:http://www.nice.org.uk/guidance/index.jsp?action=download&o=29075.
[18] 王鑫.DTI、DTT及MRS在胶质瘤分级和术前评价中的应用价值研究[D].长春:吉林大学, 2013.
[19] Ma L, Song ZJ.Differentiation between low-grade and high-grade glioma using combined diffusion tensor imaging metrics[J].Clin Neurol Neurosurg,2013, 115(12):2489-2495.
[20] Piyapittayanan S, Chawalparit O, Tritakarn SO, et al.Value of diffusion tensor imaging in differentiating high-grade from low-grade gliomas[J].Chotmaihet Thangphaet, 2013, 96(6):716-721.
[21] Smitha KA, Gupta AK, Jayasree RS.Total magnitude of diffusion tensor imaging as an effective tool for the differentiation of glioma[J].Eur J Radiol, 2013, 82(5):857-861.
[22] Chen F, Zhang X, Li M, et al.Axial diffusivity and tensor shape as early markers to assess cerebral white matter damage caused by brain tumors using quantitative diffusion tensor tractography[J].CNS Neurosci Ther, 2012, 18(8):667-673.
[23] White ML, Zhang Y, Yu F, et al.Diffusion tensor MR imaging of cerebral gliomas:evaluating fractional anisotropy characteristics[J].AJNR Am J Neuroradiol, 2011, 32(2):374-381.
[24] Goebell E, Paustenbach S, Vaeterlein O, et al.Low-grade and anaplastic gliomas:differences in architecture evaluated with diffusion-tensor MR imaging[J].Radiology, 2006, 239(1):217-222.
[25] Higano S, Yun X, Kumabe T, et al.Malignant astrocytic tumors:clinical importance of apparent diffusion coefficient in prediction of grade and prognosis[J].Radiology, 2006, 241(3):839-846.

弥散张量成像的部分各项异性值和表观弥散系数值在胶质瘤分级中应用的Meta分析

Application of diffusion tensor imaging FA value and ADC value in glioma grading:AMeta-analysis

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	赵丽艳, 宋扬, 吕晓艳, 贾茗博, 朱洪权. 上皮-间质转化胶质瘤细胞的干细胞样特性及白藜芦醇对其干细胞样特性的抑制作用[J]. 吉林大学学报(医学版), 2018, 44(06): 1185-1189.
[2]	赵丽艳, 宋扬, 陈勇, 吕晓艳, 贾茗博, 李蕴潜. 白藜芦醇对胶质瘤U87细胞上皮-间质转化的抑制作用[J]. 吉林大学学报(医学版), 2018, 44(05): 943-948.
[3]	邢树刚, 张丽红, 金明华, 李百慧, 武则馨, 房波, 李伟. 杨梅黄酮对小鼠脑胶质瘤GL261细胞增殖和凋亡的影响[J]. 吉林大学学报(医学版), 2018, 44(05): 955-961.
[4]	吕鹏, 宁明杰, 邵玉, 张璐妮, 唐英, 王南博, 陈飞儿, 齐玲. 野黄芩苷对人脑胶质瘤U87细胞的增殖抑制作用及其机制[J]. 吉林大学学报(医学版), 2018, 44(03): 466-470.
[5]	白世琦, 王育波, 耿任, 李蕴潜. 颅内多中心少突星形细胞瘤1例报告及文献复习[J]. 吉林大学学报(医学版), 2018, 44(02): 408-411.
[6]	杨冬野, 焦洋, 檀碧波, 杜志坚, 胡晓杰, 刘飞. Gli1基因在胃癌组织中的表达及其对胃癌细胞生物学特性的影响[J]. 吉林大学学报(医学版), 2018, 44(01): 63-67.
[7]	杨娜, 刘国浩, 牟青春, 王学梅, 卞东林, 张震. 脑胶质瘤干细胞与转录因子NF-E2相关因子2关系的研究进展[J]. 吉林大学学报(医学版), 2017, 43(06): 1282-1286.
[8]	宋扬, 赵丽艳, 李蕴潜, 陈勇. 胶质瘤细胞上皮-间质转化及靶向抑制策略的研究进展[J]. 吉林大学学报(医学版), 2017, 43(05): 1064-1068.
[9]	宋扬, 赵丽艳, 陈勇, 吕晓艳, 崔佳乐, 李蕴潜, 赵刚. TGF-β1对胶质瘤U87细胞上皮-间质转化的诱导作用[J]. 吉林大学学报(医学版), 2016, 42(06): 1087-1091.
[10]	惠双, 郭宏强. DNA-PKcs介导多药耐药恶性胶质瘤细胞化疗抗性及分子机制[J]. 吉林大学学报(医学版), 2016, 42(05): 877-881.
[11]	田晶, 齐玲, 纪朋艳, 沈楠, 崔万丽, 王春艳. NPPB对人脑胶质瘤SHG-44细胞凋亡的诱导作用及其机制[J]. 吉林大学学报(医学版), 2016, 42(04): 637-641.
[12]	陈雪, 张玉影, 邵玉, 张璐妮, 宁明杰, 唐英, 齐玲, 李蕴潜. 五味子甲素对脑胶质瘤C6细胞生长的抑制作用及其机制[J]. 吉林大学学报(医学版), 2016, 42(04): 711-715.
[13]	樊锐太, 张恒, 王鑫, 顾浩. 胶质瘤患者T淋巴细胞表面CTLA-4的表达及其临床意义[J]. 吉林大学学报(医学版), 2016, 42(02): 311-315.
[14]	齐玲, 王玮瑶, 郑中华, 张以忠, 赵丽微, 钟秀宏, 赵东海, 杨淑艳, 杨宁江, 任旷, 于洪泉. SUMO及SUMO化修饰蛋白在恶性胶质瘤发生中的作用[J]. 吉林大学学报(医学版), 2016, 42(01): 7-10.
[15]	韩海玲, 苗壮, 岳军, 赵长福, 景遐斌, 金顺子, 王占峰. 键合靶向纳米胶束对脑胶质瘤细胞的组织相容性和靶向性[J]. 吉林大学学报(医学版), 2015, 41(06): 1134-1138.