| 何小群,李琦,罗天友,吕发金,刘筱霜,霍继文.临床、病理特征联合能谱CT评估非小细胞肺癌表皮生长因子受体基因突变[J].中国医学影像技术,2021,37(2):230~234 |
| 临床、病理特征联合能谱CT评估非小细胞肺癌表皮生长因子受体基因突变 |
| Clinical, pathological and spectral CT characteristics in evaluation on epidermal growth factor receptor gene mutation of non-small cell lung cancer |
| 投稿时间：2020-02-17 修订日期：2020-07-18 |
| DOI：10.13929/j.issn.1003-3289.2021.02.015 |
| 中文关键词: 肺肿瘤 表皮生长因子受体 体层摄影术,X线计算机 基因突变 |
| 英文关键词:lung neoplasms epidermal growth factor receptor (768-775) tomography, X-ray computed gene mutation |
| 基金项目:重庆市卫生和计划生育委员会医学科研计划（2017MSXM010）、重庆市科学技术委员会科技计划（cstc2017jcyjAX0281）。 |
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| 中文摘要: |
| 目的 观察临床、病理特征及常规CT征象联合能谱CT定量参数预测非小细胞肺癌（NSCLC）表皮生长因子受体（EGFR）基因突变的价值。方法 回顾性分析91例NSCLC患者，根据EGFR基因检测结果分为突变阳性组（n=47）和阴性组（n=44）。比较组间临床、病理表现、常规CT征象及能谱CT定量参数差异。针对差异有统计学意义的参数构建预测NSCLC患者EGFR基因突变的Logistic回归模型1和回归模型2，以ROC曲线评价模型预测效能。结果 相比阴性组，阳性组多为女性、不吸烟及腺癌患者（P均<0.05）。阳性组病灶多见含气腔隙（P<0.05），阴性组病灶多见钙化及坏死（P均<0.05）。阳性组动、静脉期碘浓度值及水浓度值均高于阴性组（P均<0.05）。回归模型2预测NSCLC患者EGFR基因突变效能（AUC=0.788）优于回归模型1（AUC=0.686，Z=2.606，P=0.019）。结论 临床、病理特征及常规CT征象联合能谱CT定量参数可提高预测NSCLC患者EGFR基因突变的效能。 |
| 英文摘要: |
| Objective To explore the value of clinical,pathological and conventional CT features combined with spectral CT quantitative parameters in predicting epidermal growth factor receptor (EGFR) mutation of non-small cell lung cancer (NSCLC). Methods Data of 91 NSCLC patients were retrospectively analyzed. The patients were divided into EGFR mutation-positive group (n=47, positive group) and mutation-negative group (n=44, negative group) according to EGFR gene test results. Based on parameters being statistical different between groups, Logistic regression model 1 and 2 were constructed to predict EGFR mutation status of NSCLC, respectively, and ROC curve was used to evaluate the corresponding diagnostic efficacy. Results Compared with negative group, female, non-smoking and adenocarcinoma patients were more common in positive group (all P<0.05), while more lesions in positive group showed air space (P<0.05), more lesions in negative group showed calcifications and necroses (both P<0.05). Iodine concentration and water concentration in positive group were higher than those in negative group at the arterial and venous phases (both P<0.05). The efficacy of predicting EGFR gene mutation in NSCLC of model 2 (AUC=0.788) was better than that of model 1 (AUC=0.686, Z=2.606, P=0.019). Conclusion Combining clinical, pathological characteristics and conventional CT features with spectral CT quantitative parameters could effectively improve the prediction efficacy of EGFR gene mutations of NSCLC. |
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