Prediction model of epidermal growth factor receptor gene mutation in non-small cell lung cancer patients based on spectral CT parameters,lymphocyte to monocyte ratio and systemic inflammation response index
10.3969/j.issn.1002-1671.2025.07.009
- VernacularTitle:基于能谱CT参数、淋巴细胞与单核细胞比值、系统性炎症反应指数构建非小细胞肺癌患者表皮生长因子受体基因突变的预测模型
- Author:
Binyan QIAN
1
;
Xiaoming YE
;
Weixiong ZENG
;
Li DING
Author Information
1. 赣州市人民医院(南方医院赣州医院)影像科,江西 赣州 341000
- Publication Type:Journal Article
- Keywords:
non-small cell lung cancer;
epidermal growth factor receptor;
gene mutation;
spectral computed tomography;
lymphocyte to monocyte ratio;
systemic inflammation response index
- From:
Journal of Practical Radiology
2025;41(7):1119-1123
- CountryChina
- Language:Chinese
-
Abstract:
Objective To construct a prediction model of epidermal growth factor receptor(EGFR)gene mutation in patients with non-small cell lung cancer(NSCLC)based on spectral CT parameters,lymphocyte to monocyte ratio(LMR)and systemic inflam-mation response index(SIRI).Methods The spectral CT parameters,LMR and SIRI of EGFR mutant and wild types NSCLC patients were compared,respectively.The influencing factors of EGFR gene mutation were analyzed and a risk prediction model was estab-lished.Results The LMR,70 keV CT value in arterial phase and venous phase,normalized iodine concentration(NIC),slope of spectral curve(λHU)and venous phase ΔCT value in EGFR mutant type patients were significantly higher than those in EGFR wild type patients,while SIRI,arterial phase and venous phase normalized water concentration(NWC)were significantly lower than those in EGFR wild type patients(P<0.05).Female,adenocarcinoma,no smoking history,LMR,increased NIC,λHU,and ΔCT value in venous phase were the risk factors for EGFR gene mutation,and increased SIRI was a protective factor(P<0.05).The decision curve showed that when the risk threshold was 0.2-0.6,the prediction model had a good risk-benefit ratio.The P value of Hosmer-Lemeshow goodness of fit test was 0.519,and the area under the curve for predicting EGFR gene mutation in NSCLC patients was 0.911.Conclusion Spectral CT parameters,LMR and SIRI may be associated with EGFR gene mutation in NSCLC patients,the model constructed based on the above indicators has a high predictive efficacy for EGFR gene mutation.
