首页 | 官方网站   微博 | 高级检索  
     

CT平扫图像纹理分析鉴别腮腺多形性腺瘤与恶性肿瘤的初步研究
引用本文:任思桐,李小虎,刘斌?,李露露,李志洁,胡翀,束晶苇.CT平扫图像纹理分析鉴别腮腺多形性腺瘤与恶性肿瘤的初步研究[J].CT理论与应用研究,2019,28(6):685-691.
作者姓名:任思桐  李小虎  刘斌?  李露露  李志洁  胡翀  束晶苇
作者单位:安徽医科大学第一附属医院放射科,合肥230022;安徽医科大学第一附属医院放射科,合肥230022;安徽医科大学第一附属医院放射科,合肥230022;安徽医科大学第一附属医院放射科,合肥230022;安徽医科大学第一附属医院放射科,合肥230022;安徽医科大学第一附属医院放射科,合肥230022;安徽医科大学第一附属医院放射科,合肥230022
摘    要:目的:探讨CT平扫图像纹理分析方法鉴别腮腺多形性腺瘤及腮腺恶性肿瘤的可行性。方法:对经过CT平扫检查且经病理证实的45例腮腺多形性腺瘤和12例腮腺原发恶性肿瘤进行回顾性分析。应用软件工具在这些CT平扫图像上对病灶进行感兴趣区(ROI)的勾画,获得18个纹理参数。使用非参数检验对腮腺多形性腺瘤与恶性肿瘤的纹理参数进行统计学分析,并作ROC曲线,以评估有统计学差异的纹理参数的诊断效果。结果:由CT平扫的图像生成的18个不同的纹理参数中,共有10种纹理参数有统计学差异(P<0.05),其中中位数强度、平均值、体素值和、均方根误差、离均差诊断效能较高,AUC均大于0.8。结论:用CT平扫图像纹理分析方法可以鉴别腮腺多形性腺瘤和腮腺恶性肿瘤。 

关 键 词:体层摄影术  腮腺  多形性腺瘤  腮腺恶性肿瘤  纹理分析
收稿时间:2019-07-23

Preliminary Study on Differentiating Pleomorphic Adenoma and Malignant Tumors of the Parotid Gland by Texture Analysis of Non-Enhanced CT Images
Affiliation:Department of Radiology, the First Affiliated Hospital of Anhui Medical University, Hefei 230022, China
Abstract:Objective: To evaluate the possibility of texture analysis on non-enhanced CT images for differentiating pleomorphic adenoma and malignant tumors of the parotid gland. Materials and Methods: 45 cases of parotid pleomorphic adenoma and 12 cases of primary malignant tumor of the parotid gland confirmed by pathology were included in this retrospective study. Texture analysis software was used to delineate region of interest (ROI) on the lesions of these non-enhanced CT images, and obtained 18 texture parameters. Nonparametric test was used to statistically analyze the texture parameters of parotid pleomorphic adenomas and malignant tumors, and the ROC curve was used to evaluate the diagnostic effect of parameters with statistical difference. Results: Among the 18 different CT texture parameters generated on these non-enhanced CT images, 10 texture parameters were statistically significant between the PA group and the MT group (P<0.05). Among them, Median Intensity, Mean Value Voxel Value Sum, RMS, Mean Deviation have higher diagnostic efficacies, the AUCs are all greater than 0.8. Conclusion: Texture analysis of CT plain scan images can be used to identify parotid pleomorphic adenomas and parotid malignancies. 
Keywords:
本文献已被 万方数据 等数据库收录!
点击此处可从《CT理论与应用研究》浏览原始摘要信息
点击此处可从《CT理论与应用研究》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号