From the Department of Radiology (Y.W.P.), Ewha Womans University College of Medicine, Seoul, Korea.
Departments of Radiology and Research Institute of Radiological Science (Y.W.P., K.H., S.S.A., Y.S.C., S.-K.L.).
AJNR Am J Neuroradiol. 2018 Apr;39(4):693-698. doi: 10.3174/ajnr.A5569. Epub 2018 Mar 8.
Prediction of the (IDH1)-mutation and 1p/19q-codeletion status of World Health Organization grade ll gliomas preoperatively may assist in predicting prognosis and planning treatment strategies. Our aim was to characterize the histogram and texture analyses of apparent diffusion coefficient and fractional anisotropy maps to determine -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.
Ninety-three patients with World Health Organization grade II gliomas with known mutation and 1p/19q-codeletion status (18 wild-type, 45 mutant and no 1p/19q codeletion, 30 mutant and 1p/19q codeleted tumors) underwent DTI. ROIs were drawn on every section of the T2-weighted images and transferred to the ADC and the fractional anisotropy maps to derive volume-based data of the entire tumor. Histogram and texture analyses were correlated with the -mutation and 1p/19q-codeletion status. The predictive powers of imaging features for wild-type tumors and 1p/19q-codeletion status in -mutant subgroups were evaluated using the least absolute shrinkage and selection operator.
Various histogram and texture parameters differed significantly according to -mutation and 1p/19q-codeletion status. The skewness and energy of ADC, 10th and 25th percentiles, and correlation of fractional anisotropy were independent predictors of an wild-type in the least absolute shrinkage and selection operator. The area under the receiver operating curve for the prediction model was 0.853. The skewness and cluster shade of ADC, energy, and correlation of fractional anisotropy were independent predictors of a 1p/19q codeletion in -mutant tumors in the least absolute shrinkage and selection operator. The area under the receiver operating curve was 0.807.
Whole-tumor histogram and texture features of the ADC and fractional anisotropy maps are useful for predicting the -mutation and 1p/19q-codeletion status in World Health Organization grade II gliomas.
术前预测世界卫生组织(WHO)Ⅱ级胶质瘤的(IDH1)突变和 1p/19q 共缺失状态可能有助于预测预后和制定治疗策略。本研究旨在通过分析表观扩散系数和各向异性分数图的直方图和纹理特征,来确定 WHO Ⅱ级胶质瘤的 IDH1 突变和 1p/19q 共缺失状态。
本研究纳入了 93 例已知 IDH1 突变和 1p/19q 共缺失状态的 WHO Ⅱ级胶质瘤患者(18 例野生型、45 例突变型且无 1p/19q 共缺失、30 例突变型且 1p/19q 共缺失),所有患者均接受了 DTI 检查。在 T2 加权图像的每一层上绘制 ROI,并将其转移到 ADC 和各向异性分数图上,以获取整个肿瘤的基于体积的数据。对直方图和纹理特征与 IDH1 突变和 1p/19q 共缺失状态进行相关性分析。使用最小绝对收缩和选择算子(LASSO)评估影像学特征对野生型肿瘤和 IDH1 突变型亚组 1p/19q 共缺失状态的预测能力。
不同的直方图和纹理参数根据 IDH1 突变和 1p/19q 共缺失状态存在显著差异。在 LASSO 中,ADC 的偏度和能量、10%和 25%分位数、各向异性分数的相关性是野生型的独立预测因子。预测模型的受试者工作特征曲线(ROC)下面积为 0.853。在 LASSO 中,ADC 的偏度和聚类阴影、能量和各向异性分数的相关性是 IDH1 突变型肿瘤 1p/19q 共缺失的独立预测因子,ROC 下面积为 0.807。
全肿瘤 ADC 和各向异性分数图的直方图和纹理特征有助于预测 WHO Ⅱ级胶质瘤的 IDH1 突变和 1p/19q 共缺失状态。