安徽医科大学学报Issue(3)：374-377,4.
多层螺旋CT在鉴别腮腺良恶性肿瘤中的应用
Application study of multi-slice CT in distinguishing between benign parotid tumors and malignant parotid tumors
摘要
Abstract
Objective To explore the clinical value of multi-slice CT in distinguishing between benign parotid tumors and malignant parotid tumors. Methods CT scanning images of 72 parotid tumor patients were analyzed. The location, shape, density, edge, cystic necrosis and degree of enhancement of the tumors were analyzed, de-gree of cervical lymph node swelling were analyzed, and all the analysis results were compared to pathological re-sults. Results 80 lesions were diagnosed in tumors, among which 59(73. 8%) lesions were benign tumors and 21 (26. 2%) lesions were malignant tumors. The CT images of benign tumors showed that 42(71. 2%) of them were located in the superficial lobe and with regular shape and uniform density;62.7% of them had clear edge;57 . 6%of them showed mild or moderate enhancement. 2 cases of benign tumors presented cervical lymph node swelling, which were proved to be pathological inflammatory mass after operation. Whereas in the CT images of malignant tumors 12( 57. 1%) of them were located in the deep lobe or in both of the superficial lobe and the deep lobe. 15 (71. 4%) of them had irregular shape and uneven density. 81% of them had unclear edge. 71. 4% of malignant tumors were significantly enhanced. 9 cases of malignant tumor were with cervical lymph node metastasis. There was statistical difference between the shape, edge, density, cystic necrosis, degree of enhancement and cervical lymph node metastasis of the two groups of tumors(P<0.05), while the location and the degree of enhancement of the two groups of tumors showed no statistical difference ( P>0.05 ) . Conclusion Most of benign and malignant parotid tumors can be correctly diagnosed by analyzing multi-slice CT images.关键词
腮腺/肿瘤/X线计算机/体层摄影术Key words
parotid gland/tumor/X-ray computed/computed tomography分类
医药卫生引用本文复制引用
余韵,颜雨春..多层螺旋CT在鉴别腮腺良恶性肿瘤中的应用[J].安徽医科大学学报,2014,(3):374-377,4.基金项目
安徽省科技厅自然科学基金(编号:11010401016) （编号:11010401016）
