肿瘤防治研究  2023, Vol. 50 Issue (3): 271-275
本刊由国家卫生和计划生育委员会主管,湖北省卫生厅、中国抗癌协会、湖北省肿瘤医院主办。
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文章信息

表观弥散系数与胶质瘤IDH-1/1p19q基因型的相关性研究
Correlation Between Apparent Diffusion Coefficient and IDH-1/1p19q Genotype of Glioma
肿瘤防治研究, 2023, 50(3): 271-275
Cancer Research on Prevention and Treatment, 2023, 50(3): 271-275
http://www.zlfzyj.com/CN/10.3971/j.issn.1000-8578.2023.22.0698
收稿日期: 2022-06-22
修回日期: 2022-09-29
表观弥散系数与胶质瘤IDH-1/1p19q基因型的相关性研究
孙鹏飞1 ,    牟福玲2 ,    马莉1 ,    付正丰1     
1. 730030 兰州,兰州大学第二医院放疗科;
2. 445000 恩施,恩施土家族苗族自治州中心医院重症医学科
摘要: 目的 探讨ADC值与胶质瘤IDH-1/1p19q基因型间的相关性。方法 回顾性分析2013年3月—2020年12月经病理证实的69例WHOⅡ /Ⅲ级神经胶质瘤患者的MRI和分子病理学检测结果,采用ROC曲线评估ADC值对胶质瘤基因型(IDH-1、1p19q)的诊断性能。结果 IDH-1突变组ADCmean、ADCmin、rADCmean、rADCmin均分别显著高于IDH-1野生组(P < 0.05、P < 0.01、P < 0.05、P < 0.01),以rADCmin0.979×103mm2/s为阈值诊断IDH-1突变型与IDH-1野生型胶质瘤的效能最高(AUC=0.770),其敏感度、特异性分别为84.61%和59.09%。结论 ADC可以作为无创性预测IDH-1突变型与野生型Ⅱ/Ⅲ级胶质瘤的影像学生物标志物。
关键词: ADC    胶质瘤    Ⅱ /Ⅲ级    IDH-1/1p19q基因型    弥散加权成像(DWI)    
Correlation Between Apparent Diffusion Coefficient and IDH-1/1p19q Genotype of Glioma
SUN Pengfei1 , MOU Fuling2 , MA Li1 , FU Zhengfeng1     
1. Department of Radiotherapy, Lanzhou University Second Hospital, Lanzhou 730030, China;
2. Department of Critical Care Medicine, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi 445000, China
Abstract: Objective To investigate the correlation between ADC value and glioma IDH-1/1p19q genotype. Methods The MRI features and molecular pathological results of 69 patients with pathologically confirmed diagnosis of WHO grade Ⅱ/Ⅲ glioma between March 2013 and December 2020 were retrospectively analyzed. The diagnostic performance of ADC values on glioma genotypes (IDH-1, 1p19q) was evaluated using the ROC curve of the subjects' working characteristics. Results The ADCmean, ADCmin, rADCmean, and rADCmin in the IDH-1 mutation group were significantly higher than those in the IDH-1 wild group (P < 0.05, P < 0.01, P < 0.05, P < 0.01). The use of the rADCmin threshold (0.979×103mm2/s) had the highest efficacy (AUC=0.770) for diagnosis of IDH-1 mutant and IDH-1 wild-type gliomas as well as sensitivity and specificity of 84.61% and 59.09%, respectively. Conclusion ADC can be used as an imaging biomarker for noninvasive prediction of IDH-1 mutant and wild-type Ⅱ /Ⅲ gliomas.
Key words: ADC    Glioma    Grade Ⅱ /Ⅲ    IDH-1/1p19q genotype    Diffusion-weighted imaging (DWI)    
0 引言

脑胶质瘤是中枢神经系统最常见的原发性恶性脑肿瘤,占原发性恶性脑肿瘤的80%[1]。2016版中枢神经系统肿瘤WHO分类将异柠檬酸脱氢酶(isocitrate dehydrogenase,  IDH)和1p19q等基因检测纳入弥漫星形细胞瘤和少突胶质细胞瘤的诊断标准,而2021年WHO更新了中枢神经系统肿瘤分类,将成人弥漫性胶质瘤分为星形细胞瘤-IDH突变型、少突胶质细胞瘤-IDH突变伴1p19q联合缺失型及胶质母细胞瘤-IDH野生型,并提出了组织学和分子病理学的整合诊断理念。目前胶质瘤分子病理学研究主要依赖于病理活检或手术病理,但部分患者无法手术或拒绝有创方法。弥散加权成像(diffusion weighted imaging,  DWI)是MRI常用的功能性成像技术,通过定量检测肿瘤组织内水分子的自由扩散信息,反映肿瘤异质性和细胞增殖状况等。表观弥散系数(apparent diffusion coefficient,   ADC)是DWI的定量参数,能够客观反映胶质瘤的细胞增殖、细胞外间隙等病理学特征,从而有望应用于无创性评价胶质瘤的分子病理学信息,进而指导临床治疗并预测患者预后。研究[2-4]表明DWIADC值与胶质瘤基因型(IDH/1p19q)间存在相关性、且与胶质瘤的预后相关,然而有关DWI与Ⅱ/Ⅲ级胶质瘤基因型间的相关性研究较少。本研究旨在观察ADC值与Ⅱ/Ⅲ级胶质瘤基因型(IDH-1、1p19q)间的相关性,探讨ADC值在无创性预测胶质瘤分子分型中的临床价值,从而为ADC辅助制定治疗方案、预测患者预后提供依据。

1 资料与方法 1.1 研究对象

收集2013年3月—2020年12月在兰州大学第二医院就诊且临床资料完整的69例胶质瘤患者的临床资料。其中男34例、女35例,年龄18~72岁(42.24±14.73)岁;WHOⅡ级胶质瘤33例,WHO Ⅲ级胶质瘤36例。分子病理学检测:IDH-1基因检测48例(WHOⅡ级22例、Ⅲ级26例)、1p19q基因检测27例(WHOⅡ级13例、Ⅲ级14例)。所有患者术前均行常规MRI、DWI、FLAIR及MR增强检查。该研究中胶质瘤的诊断标准基于2007版和2016版WHO中枢神经系统肿瘤分类。本研究获得兰州大学第二医院医学伦理委员会批准(编号:2022A-497)。

1.2 MR设备与扫描方法

采用Siemens 3.0 T Verio MR扫描仪。所有患者术前均行常规T1WI、T2WI、FLAIR序列及DWI序列扫描,MRI平扫后行增强扫描。扫描序列及参数:(1)GRE T1WITR550 ms,TE 11 ms,层厚5.0 mm,层间距1.5 mm,视野(FOV)260 mm×260 mm,矩阵256×256;(2)TSE T2WITR2200 ms,TE 96 ms,回波时间10 ms,回波链长度8,激励次数2;(3)DWI(SE序列)TR4500 ms,TE 98 ms,层厚5.0 mm,层距1.5 mm,矩阵256×256,b=0、1000 s/mm2;(4)FLAIR TR 9000 ms,TE 110.0 ms,层厚5.0 mm,层间距1.5 mm;(5)MR增强扫描:经肘静脉团注钆喷葡胺注射液(Gd-DTPA),剂量0.1 mmol/kg、流速3 ml/s。

1.3 DWI数据测量与分析

1.3.1 ROI的界定

肿瘤实性部分或正常脑白质区勾画ROI区,避开肿瘤囊变、坏死、出血及水肿等区域;ROI面积取10~20 mm2

1.3.2 ADC值的测量

在ST-PACS医学图像工作站(北京思创贯宇科技开发有限公司)上选取肿瘤最大层面相邻的三个层面,利用自由形标记工具在ADC图上手工绘制ROI,在b=1 000s/mm2下测量平均ADC值(ADCmean)、最小ADC值(ADCmin),每个层面测量3次,并计算平均值。相对ADC值(rADC)=瘤体区ADC值/对侧脑白质ADC值,见图 1

A, B: the lesions in the right temporal-parietal lobe showed heterogeneous low signal and high signal on T1WI and T2WI, respectively; C, D: DWI presented as an inhomogeneous equal-slightly higher signal (mild diffusion restricted) (C) and ADC map showed an inhomogeneous low-slightly higher signal (D); E: the measurement method of ADC value to select three ROI (10-20 mm2) in lesions and take their average values as well as select the contralateral normal brain white matter to calculate rADC; F: tumor cells were arranged in diffuse pieces, the nucleus with obvious atypia was large, and numerous necrotic regions were found in the lesions (HE ×200). 图 1 少突胶质细胞瘤(WHOⅢ级;IDH-1突变/1p19q共缺失)MRI和病理学表现 Figure 1 MRI and pathological manifestations of oligodendrocytoma (WHO gradeⅢ) with IDH-1 mutation/1p19q co-deletion
1.4 统计学方法

采用SPSS23.0统计学软件进行统计分析。计量资料组间比较采用独立样本t检验,计数资料组间比较采用卡方检验。胶质瘤ADC值/rADC值与IDH-1/1p19q的相关性采用卡方检验及独立样本t检验。采用受试者工作特征曲线(receiver operator characteristic curve, ROC)评价ADC值(ADCmean、ADCmin、rADCmean、rADCmin)对胶质瘤基因型的诊断性能。利用统计软件获得ROC曲线下面积(AUC),AUC值越接近1提示诊断效能越好,并分别计算敏感度、特异性等;采用Medcalc统计软件分析ADC参数值间诊断效能的差异性。P < 0.05为差异有统计学意义。

2 结果

IDH-1突变组ADCmean、ADCmin、rADCmean、rADCmin值均显著高于IDH-1野生组(P < 0.05),而1p19q共缺失与非共缺失间的ADC值差异无统计学意义(P > 0.05),见表 1

表 1 ADC值与IDH-1/1p19q基因型间的相关性 Table 1 Correlation between ADC values and IDH-1/1p19q genotype of glioma

ROC曲线:ADCmean、ADCmin、rADCmean和rADCmin诊断胶质瘤IDH-1基因型的阈值及其敏感度、特异性、PPV、NPV及AUC见表 2图 2,其中rADCmin诊断胶质瘤IDH-1基因型的效能最高。Medcalc软件分析显示ADCmean、ADCmin、rADCmean、rADCmin在诊断胶质瘤IDH-1基因型效能方面各组间比较差异无统计学意义(P > 0.05),见表 3

表 2 ADC值对胶质瘤IDH-1-mut和IDH-1-wt的诊断效能 Table 2 Diagnostic efficacy of ADC values in IDH-1-mut and IDH-1-wt gliomas

图 2 ADCmean、ADCmin、rADCmean、rADCmin预测胶质瘤IDH-1基因型的ROC曲线图 Figure 2 ROC curve of ADCmean, ADCmin, rADCmean, and rADCminvalues predicting IDH-1 genotypes of glioma

表 3 ADC参数值对胶质瘤IDH-1基因型诊断效能的组间差异性 Table 3 Differences between diagnostic efficacy of DWI-ADC values in IDH-1 genotype of glioma
3 讨论

最大程度地安全切除并辅以放疗、化疗为主的综合治疗是脑胶质瘤的标准治疗策略,而脑胶质瘤的WHO分级、分子分型影响其治疗决策和预后[5]。WHOⅠ、Ⅱ级为低级别胶质瘤(low-grade glioma, LGG),Ⅲ、Ⅳ级为高级别胶质瘤(high-grade glioma, HGG)。HGG具有高度侵袭性,中位生存期仅14.6个月,而LGG中位生存期可达13.0年[6]。少突胶质细胞瘤占所有原发性中枢神经系统肿瘤的2%~5%、占胶质细胞瘤的5%~20%[7],其预后相对较好,WHOⅡ级少突胶质细胞瘤、少突星形胶质瘤的5年生存率分别为84%和68%,而Ⅲ级少突胶质细胞瘤、星形细胞瘤的5年生存率仅为66%和32%[8]

IDH是细胞能量代谢过程中的重要限速酶,参与细胞代谢、表观遗传调节、氧化还原和DNA损伤修复,可分为IDH-1、IDH-2和IDH-3三个亚型。IDH突变可改变IDH酶的活性,导致胶质瘤细胞代谢和微观结构发生一系列改变,从而影响胶质瘤的治疗疗效和预后。IDH-1主要分布于细胞质和过氧化物酶体,而IDH-2主要分布于线粒体[9];IDH-1突变型HGG的预后显著好于IDH野生型,中位生存期分别为24个月和10个月[10]。WHOⅡ级少突胶质细胞瘤lp/19q共缺失阳性率高达80%~90%,而WHOⅢ级阳性率为50%~70%,且1p19q共缺失型胶质瘤对烷化剂等化疗药物敏感[11]。此外,IDH-1突变型和1p19q共缺失型Ⅱ级弥漫型胶质瘤预后好于IDH-1野生型,且IDH-1突变型和1p19q共缺失型少突胶质细胞瘤患者较IDH-1突变型和1p19q未缺失/单缺失型预后更好[2]。另外,研究[12-13]表明ADC值在预测脑胶质瘤基因型及预后方面具有重要的临床价值。因此,探讨预测Ⅱ /Ⅲ级胶质瘤IDH/1p19q基因型的常规DWI技术,有助于术前无创性评估胶质瘤IDH/1p19q基因型,进而辅助临床制定有效的治疗方案。

WHOⅡ级弥漫型胶质瘤DWI与基因型间的相关性研究[2]证实低ADC值与IDH野生型独立相关,且IDH野生型胶质瘤伴低ADCmin时临床预后更差,提示IDH突变状况联合ADC值可以更准确预测Ⅱ级弥漫型胶质瘤的临床预后。标准临床DWI序列可评价胶质瘤IDH基因型和临床预后,如IDH野生型胶质瘤的rADCmean显著低于IDH突变型,且不论WHO分级,低rADCmean(< 1.08)的IDH突变型和野生型胶质瘤的预后显著差于高rADCmean(> 1.08)的IDH突变型和野生型,而低rADCmean的IDH突变型与野生型胶质瘤间的mOS无差异[3]。另有研究[4]显示基于标准临床DWI序列,肿瘤平均ADC值/正常脑白质ADC值联合形态学特征、年龄能够准确预测Ⅱ/Ⅲ级胶质瘤的IDH突变状况。鉴于胶质瘤的异质性,肿瘤局部ADC值预测IDH突变状况可能有一定的局限性。研究[13]证实肿瘤区域标准化ADCmean在预测Ⅱ ~Ⅲ级实性胶质瘤IDH突变状况方面不劣于容积标准化ADCmean,但就非实性胶质瘤而言,容积ADC值优于区域ADC值。因此,临床实践中ADC值测量中ROI的选择至关重要,可能影响ADC值预测胶质瘤基因型的准确性。

Park等[14]证实IDH-1突变/1p/19q共缺失Ⅱ级胶质瘤较IDH-1突变/1p/19q非共缺失胶质瘤呈现出高-中ADC混杂模式,说明ADC值可以预测IDH-1突变低级别胶质瘤的1p/19q基因型。目前,有关ADC值在预测胶质瘤1p/19q基因型方面的价值存在争议[14-16]。本研究显示1p19q共缺失型与1p19q单缺失或不缺失型胶质瘤的ADC值间差异无统计学意义,分析原因可能与肿瘤区水肿、新生血管生成及ADC值测量的兴趣区选择、肿瘤异质性等因素相关,该假设有待于临床研究证实。此外,本研究提示ADC值可以鉴别IDH-1突变型和IDH-1野生型胶质瘤,与文献[2, 13, 16]报道一致。

近年来,ADC直方图分析和MR影像组学在胶质瘤基因型预测中的研究倍受关注,其能够较全面反映胶质瘤的异质性。刘丹等[17]探讨了Ⅱ/Ⅲ级弥漫性胶质瘤的ADC直方图特征,结果显示IDH突变型胶质瘤ADC(75%、90%、95%,Max、范围、标准差及不均一性)显著低于IDH野生型,而IDH突变型胶质瘤ADCmin和峰度显著高于IDH野生型;IDH突变/1p19q未缺失型胶质瘤ADC(Mean,5%、10%、25%、50%、75%,众数)显著高于IDH突变/1p19q缺失型。此外,ADC不均一性鉴别IDH突变型和IDH野生型胶质瘤的效能最高,而众数鉴别IDH突变/1p19q未缺失型和IDH突变/1p19q缺失型胶质瘤的效能最高。同样,亦有研究[15]证实低级别胶质瘤ADC值与IDH-1突变状态显著相关。另有学者评价了ADC直方图图像分割方式对Ⅱ/Ⅲ级弥漫型胶质瘤基因型分类的影响,结果表明ADC直方图有助于分类IDH野生型和突变型胶质瘤,尤其去除囊变/坏死时更有助于评价肿瘤异质性和分类IDH野生型胶质瘤,然而在预测1p19q基因型方面价值有限[16]。多序列MRI整合影像组学能够预测胶质瘤IDH和1p/19q状况,如基于T1WI增强和ADC的影像组学预测IDH突变型胶质瘤的效能最佳,而T1WI增强影像组学预测1p/19q共缺失型胶质瘤的效能最佳[18]

本研究的主要局限性在于仅探讨了肿瘤局部,如胶质瘤最大层面的ADC值与IDH-1/1p19q基因型间的相关性。鉴于胶质瘤的异质性,肿瘤局部DWI(ADC值)特征可能并不能反映肿瘤整体弥散特征,进而影响ADC值预测胶质瘤基因型的价值。此外,本研究纳入的样本量较小亦可能影响结论的客观性。综上所述,常规临床DWI技术(ADC值)一定程度上可以预测WHOⅡ /Ⅲ级胶质瘤的IDH-1/1p19q突变状况,尽管ADC直方图分析、MR多模态影像组学可能更能有效预测IDH-1/1p19q基因型,然而ADC值不失为预测IDH- 1/1p19q基因型和预后的实用影像学生物标志物,值得临床推广。

作者贡献:

孙鹏飞:研究设计和论文撰写

牟福玲、马莉:临床资料收集和测量、分析、汇总

付正丰:图像资料整理

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