中国临床医学影像杂志2025，Vol.36Issue(2)：90-94,5.DOI:10.12117/jccmi.2025.02.004
基于CT增强直方图分析鉴别腮腺多形性腺瘤与基底细胞腺瘤
Differential diagnosis between parotid pleomorphic adenoma and basal cell adenoma based on CT enhanced histogram analysis
摘要
Abstract
Objective:To explore the application value of differentiating pleomorphic adenoma(PA)from basal cell adeno-ma(BCA),BCA based on CT enhanced histogram parameters.Methods:Retrospective analysis of clinical and imaging data from 55 patients with PA and 35 patients with BCA confirmed by surgery and pathology in our hospital from January 2017 to December 2023.All patients underwent routine CT plain scan and biphasic CT enhanced scan.FireVoxel software was used to delineate the entire tumor parenchyma and perform histogram analysis to obtain corresponding histogram parameters(mean,variability,skewness,kurtosis,and 1st,10th,50th,90th,and 99th percentiles).To compare the differences of histogram pa-rameters between PA and BCA in parotid gland,and to evaluate the differential diagnostic efficiency of histogram parameters between PA and BCA by receiver operating characteristic(ROC)curve.Results:①The 1st percentile of plain scan,mean arte-rial phase,arterial phase variability,10th,50th,90th and 99th percentile of arterial phase and mean venous phase in BCA group were significantly higher than those in PA group,and the difference was statistically significant(P<0.05).②ROC curve showed that the arterial phase histogram parameters showed better diagnostic efficiency among plain scan,arterial phase his-togram parameters and venous phase histogram parameters.Among them,the 90th percentile in arterial phase has the best differential diagnosis efficiency.When the cutoff value is 132.00×10-6 mm2/s,the area under the curve is 0.876.At this time,the sensitivity and specificity of distinguishing PA from BCA are 90.50%and 84.00%,respectively.Conclusion:CT enhanced histogram analysis has certain value in distinguishing PA from BCA.关键词
腮腺肿瘤/腺瘤/体层摄影术,X线计算机Key words
Parotid Neoplasms/Adenoma/Tomography,X-Ray Computed分类
医药卫生引用本文复制引用
韩蕾,马鸣岳,董燕,刘红生,孙鹏峰,张巧莹,高明,刘晓岚,邬小平..基于CT增强直方图分析鉴别腮腺多形性腺瘤与基底细胞腺瘤[J].中国临床医学影像杂志,2025,36(2):90-94,5.基金项目
陕西省自然科学基金项目(2022JQ-933) （2022JQ-933）
陕西省重点研发计划一般项目(2023-YBSF-673). （2023-YBSF-673）
