中国临床医学影像杂志2025，Vol.36Issue(3)：174-178,5.DOI:10.12117/jccmi.2025.03.005
能谱CT定量参数与肺癌患者病理特征、预后的相关性分析
Correlation analysis of quantitative parameters of energy spectrum CT with pathological features and prognosis of patients with lung cancer
摘要
Abstract
Objective:To explore the correlation between quantitative parameters of energy spectrum CT and pathological features and prognosis of patients with lung cancer.Methods:A total of 102 patients with lung cancer pathologically confirmed at our hospital from September 2019 to June 2022 were selected as the study group,and 110 patients with pneumonia were selected as the control group.All enrolled patients underwent energy spectrum CT enhanced scanning,and quantitative parameters of energy spectrum CT were measured(including energy spectrum curve slope(s-SHC),standardized iodine concentration in arterial phase(NICAP),standardized iodine concentration in venous phase(NICVP)).The predictive value of quantitative parameters of energy spectrum CT on prognosis of patients with lung cancer was evaluated by ROC.The related factors affecting prognosis of lung cancer patients were analyzed by multi-factor Cox regression.Results:The quantitative parameters NICAP,NICVP and s-SHC of energy spectrum CT in study group were significantly higher compared to the control group(P<0.05).CT quantitative parameters NICAP,NICVP and s-SHC in patients with adenocarcinoma,lymphatic metastasis and T3～T4 infiltration depth lung cancer were higher than those in patients with squamous cell carcinoma,no lymphatic metastasis and T1～T2 infiltration depth lung cancer(P<0.05).There were 10(16.67%)and 24(57.14%)patients with stage T1～T2 and stage T3～T4 lung cancer with adverse prognosis at 2 years,respectively,and the difference between groups was statistically significant(t=18.214,P<0.05).CT quantitative parameters NICAP,NICVP and s-SHC of lung cancer patients in the 2-year poor prognosis were higher than those in the 2-year good prognosis(P<0.05).ROC curve analysis showed that the AUC of NICAP,NICVP,s-SHC and combined prediction of 2-year poor prognosis of lung cancer patients were 0.830(95%CI:0.780～0.880),0.845(95%CI:0.795～0.895),0.866(95%CI:0.795～0.895)and 0.911(95%CI:0.861～0.961).A multi-factor analysis showed that lymphatic metastasis(HR=2.098),T3～T4 infiltration depth(HR=2.707),NICAP≥0.25(HR=3.080),NICVP≥0.52(HR=4.267),s-SHC≥1.74(HR=3.611)were risk factors for poor prognosis in lung cancer patients at 2 years(P<0.05).Conclusion:Quantitative parameters NICAP,NICVP and s-SHC are increased in patients with lung cancer,and they are closely related to pathological characteristics and prognosis,and they have a good predictive effect on prognosis of patients with lung cancer.关键词
肺肿瘤/体层摄影术,X线计算机Key words
Lung Neoplasms/Tomography,X-Ray Computed分类
医药卫生引用本文复制引用
孟锦,张冰凌,孙兴智,李卫星,田晓敏..能谱CT定量参数与肺癌患者病理特征、预后的相关性分析[J].中国临床医学影像杂志,2025,36(3):174-178,5.基金项目
河南省医学科技攻关计划项目(LHGJ20230879). （LHGJ20230879）
