1Department of Neurologic Surgery, Mayo Clinic, Rochester, Minnesota; and.
2Department of Neuroradiology, George Washington University Hospital, Washington, DC.
Neurosurg Focus. 2019 Dec 1;47(6):E13. doi: 10.3171/2019.9.FOCUS19660.
OBJECTIVE: With the revised WHO 2016 classification of brain tumors, there has been increasing interest in imaging biomarkers to predict molecular status and improve the yield of genetic testing for diffuse low-grade gliomas (LGGs). The T2-FLAIR-mismatch sign has been suggested to be a highly specific radiographic marker of isocitrate dehydrogenase (IDH) gene mutation and 1p/19q codeletion status in diffuse LGGs. The presence of T2-FLAIR mismatch indicates a T2-hyperintense lesion that is hypointense on FLAIR with the exception of a hyperintense rim. METHODS: In accordance with PRISMA guidelines, we performed a systematic review of the Ovid Medline, Embase, Scopus, and Cochrane databases for reports of studies evaluating the diagnostic performance of T2-FLAIR mismatch in predicting the IDH and 1p/19q codeletion status in diffuse LGGs. Results were combined into a 2 × 2 format, and the following diagnostic performance parameters were calculated: sensitivity, specificity, positive predictive value, negative predictive value, and positive (LR+) and negative (LR-) likelihood ratios. In addition, we utilized Bayes theorem to calculate posttest probabilities as a function of known pretest probabilities from previous genome-wide association studies and the calculated LRs. Calculations were performed for 1) IDH mutation with 1p/19q codeletion (IDHmut-Codel), 2) IDH mutation without 1p/19q codeletion (IDHmut-Noncodel), 3) IDH mutation overall, and 4) 1p/19q codeletion overall. The QUADAS-2 (revised Quality Assessment of Diagnostic Accuracy Studies) tool was utilized for critical appraisal of included studies. RESULTS: A total of 4 studies were included, with inclusion of 2 separate cohorts from a study reporting testing and validation (n = 746). From pooled analysis of all cohorts, the following values were obtained for each molecular profile-IDHmut-Codel: sensitivity 30%, specificity 73%, LR+ 1.1, LR- 1.0; IDHmut-Noncodel: sensitivity 33.7%, specificity 98.5%, LR+ 22.5, LR- 0.7; IDH: sensitivity 32%, specificity 100%, LR+ 32.1, LR- 0.7; 1p/19q codeletion: sensitivity 0%, specificity 54%, LR+ 0.01, LR- 1.9. Bayes theorem was used to calculate the following posttest probabilities after a positive and negative result, respectively-IDHmut-Codel: 32.2% and 29.4%; IDHmut-Noncodel: 95% and 40%; IDH: 99.2% and 73.5%; 1p/19q codeletion: 0.4% and 35.1%. CONCLUSIONS: The T2-FLAIR-mismatch sign is an insensitive but highly specific marker of IDH mutation but not 1p/19q codeletion in diffuse LGGs, although there may be significant exceptions. These findings support the utility of T2-FLAIR mismatch as an imaging-based biomarker for positive selection of patients with IDH-mutant gliomas.
目的:随着世界卫生组织(WHO)2016 年修订的脑肿瘤分类,人们对预测分子状态和提高弥漫性低级别胶质瘤(LGG)遗传检测率的影像学生物标志物越来越感兴趣。T2-FLAIR 不匹配征被认为是异柠檬酸脱氢酶(IDH)基因突变和 1p/19q 联合缺失状态在弥漫性 LGG 中的高度特异性影像学标志物。T2-FLAIR 不匹配的存在表明 T2 高信号病变在 FLAIR 上呈低信号,除了高信号边缘。
方法:根据 PRISMA 指南,我们对 Ovid Medline、Embase、Scopus 和 Cochrane 数据库进行了系统评价,以检索评估 T2-FLAIR 不匹配预测弥漫性 LGG 中 IDH 和 1p/19q 联合缺失状态的诊断性能的研究报告。结果合并为 2×2 格式,并计算以下诊断性能参数:敏感性、特异性、阳性预测值、阴性预测值以及阳性(LR+)和阴性(LR-)似然比。此外,我们利用贝叶斯定理计算了在先前的全基因组关联研究的已知术前概率和计算的 LR 的基础上作为函数的术后概率。计算了以下 4 种分子谱:1)IDH 突变伴 1p/19q 联合缺失(IDHmut-Codel),2)IDH 突变不伴 1p/19q 联合缺失(IDHmut-Noncodel),3)IDH 突变总体,4)1p/19q 联合缺失总体。使用 QUADAS-2(诊断准确性研究的修订质量评估工具)工具对纳入的研究进行了批判性评估。
结果:共纳入 4 项研究,其中包括一项研究报告的检测和验证的两个独立队列(n=746)。从所有队列的汇总分析中,每个分子谱的结果如下-IDHmut-Codel:敏感性 30%,特异性 73%,LR+ 1.1,LR- 1.0;IDHmut-Noncodel:敏感性 33.7%,特异性 98.5%,LR+ 22.5,LR- 0.7;IDH:敏感性 32%,特异性 100%,LR+ 32.1,LR- 0.7;1p/19q 联合缺失:敏感性 0%,特异性 54%,LR+ 0.01,LR- 1.9。贝叶斯定理用于分别计算阳性和阴性结果后的以下术后概率-IDHmut-Codel:32.2%和 29.4%;IDHmut-Noncodel:95%和 40%;IDH:99.2%和 73.5%;1p/19q 联合缺失:0.4%和 35.1%。
结论:T2-FLAIR 不匹配征是 IDH 突变的不敏感但高度特异性标志物,但不是弥漫性 LGG 中的 1p/19q 联合缺失,尽管可能存在显著例外。这些发现支持 T2-FLAIR 不匹配作为 IDH 突变型胶质瘤患者阳性选择的影像学生物标志物的应用。
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