Predictive radiogenomics modeling of EGFR mutation status in lung cancer.
Predictive radiogenomics modeling of EGFR mutation status in lung cancer.
复制标题
EGFR突变状态在肺癌中的预测放射基因组学模型。
DOI：
10.1038/srep41674
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发表时间：
2017-01-31
影响因子：
4.6
通讯作者：
Leung AN
中科院分区：
文献类型：
--
作者：
Gevaert O;Echegaray S;Khuong A;Hoang CD;Shrager JB;Jensen KC;Berry GJ;Guo HH;Lau C;Plevritis SK;Rubin DL;Napel S;Leung AN
EGFR和KRAS突变状态的分子分析现在在非小细胞肺癌的管理中是常规的。放射基因组学将医学图像与人类肿瘤的基因组特性联系起来，为非侵入性诊断和肿瘤学提供了令人兴奋的机会。我们研究了是否可以使用成像数据预测EGFR和KRAS突变状态。为了实现这一点，我们研究了186例非小细胞肺癌术前薄层CT扫描。一位胸部放射科医生对每位患者的肿瘤的89个语义图像特征进行了注释。接下来，我们建立了一个决策树来预测EGFR和KRAS突变的存在。我们发现了一个预测EGFR但不预测KRAS突变的统计学显著模型。用于预测EGFR突变状态的ROC曲线下面积为0.89。最终的决策树使用四个变量：肺气肿，气道异常，磨玻璃成分的百分比和肿瘤边缘的类型。前两个特征中的任一个的存在预测EGFR的野生型状态，而任何毛玻璃组分的存在指示EGFR突变。这些结果显示了定量成像以非侵入性方式预测分子特性的潜力，因为CT成像比活检更容易获得。
Molecular analysis of the mutation status for EGFR and KRAS are now routine in the management of non-small cell lung cancer. Radiogenomics, the linking of medical images with the genomic properties of human tumors, provides exciting opportunities for non-invasive diagnostics and prognostics. We investigated whether EGFR and KRAS mutation status can be predicted using imaging data. To accomplish this, we studied 186 cases of NSCLC with preoperative thin-slice CT scans. A thoracic radiologist annotated 89 semantic image features of each patient’s tumor. Next, we built a decision tree to predict the presence of EGFR and KRAS mutations. We found a statistically significant model for predicting EGFR but not for KRAS mutations. The test set area under the ROC curve for predicting EGFR mutation status was 0.89. The final decision tree used four variables: emphysema, airway abnormality, the percentage of ground glass component and the type of tumor margin. The presence of either of the first two features predicts a wild type status for EGFR while the presence of any ground glass component indicates EGFR mutations. These results show the potential of quantitative imaging to predict molecular properties in a non-invasive manner, as CT imaging is more readily available than biopsies.