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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

  • 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。

     

    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.

     

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