中国临床医学影像杂志2025，Vol.36Issue(6)：404-407,4.DOI:10.12117/jccmi.2025.06.006
能谱CT定量参数在评估肺腺癌病理分级中的价值
The value of spectral CT quantitative parameters in evaluating the pathological grading of lung adenocarcinoma
崔世玉 1宋洪政 2娄和南 1张亮 1段峰1
作者信息
- 1. 青岛大学附属医院,山东 青岛 266003
- 2. 青岛市市立医院放射科,山东 青岛 266011
- 折叠
摘要
Abstract
Objective:To explore the value of spectral CT quantitative parameters in assessing the pathological grading of lung adenocarcinoma.Methods:We retrospectively analyzed clinical and imaging data from 77 patients with lung adenocarci-noma confirmed by surgical pathology.According to the grading system established by the International Association for the Study of Lung Cancer in 2020,all cases were divided into low-grade(G1 and G2)and high-grade(G3)groups.The spectral CT quantitative parameters in both the arterial and venous phases of the lesions were assessed,including CT values at 70 keV and 40 keV,standardized iodine concentration,and spectral curve slope(K).Differences in clinical and CT features and spec-tral CT quantitative parameters were compared between the two groups.To build a diagnostic model for predicting the patho-logical grading of lung adenocarcinoma,the variables with statistically significant differences were included into the multivariate Logistic regression analysis.The diagnostic performance of the model was assessed using receiver operating characteristic curve and area under the curve(AUC).Results:Between the low-grade and high-grade groups,tumor diameter,nodule density,and K value in both the arterial and venous phases were statistically significant differences.The AUC of the clinical model,pa-rameter model and combined model constructed based on multivariate Logistic regression analysis were 0.692,0.697 and 0.752,respectively.The diagnostic efficacy of the combined model was better than that of the clinical model and parameter model.Conclusion:Spectral CT quantitative parameters have potential application value in assessing the pathological grade of lung adenocarcinoma.The combined model based on CT features and quantitative parameters is helpful for preoperative differ-entiation of the pathological grade of lung adenocarcinoma.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
崔世玉,宋洪政,娄和南,张亮,段峰..能谱CT定量参数在评估肺腺癌病理分级中的价值[J].中国临床医学影像杂志,2025,36(6):404-407,4.
