摘要
目的分析腮腺多形性腺瘤(PA)的CT和MRI影像学表现,探讨其诊断价值。方法回顾分析2018年5月~2022年8月经穿刺或手术后病理证实的34例PA患者,行颌面部平扫CT检查18例,增强CT检查8例,MRI检查34例。分析所有患者的CT和MRI图像特征,比较两种方法的诊断结果。结果CT、MRI阳性检出率分别为55.56%、85.29%,检出率比较有统计学意义(P<0.05)。密度或信号是否均匀,两者比较有统计学意义(P<0.05);对于最大径<3cm或≥3cm的病灶、有无包膜及强化方式,CT和MRI图像特征比较,差异无统计学意义(P>0.05)。本组研究中,CT图像表现为等或略低密度,密度均匀或不均匀。大部分病灶T1WI/FS呈低信号影,STIR呈不均匀高信号影,STIR序列包膜显示最佳。大部分病灶呈不均匀渐进性强化。结论CT和MRI检查均可表现出特有的影像学特征。为了提高PA的诊断准确性,可以将两种检查方法结合起来进行综合诊断,为患者提供更准确的影像学参考依据。
Objective To analyze the CT and MRI imaging findings of pleomorphic adenoma(PA)for parotid gland and discuss its diagnostic value.Methods From May 2018 to August 2022,34 cases of parotid PA confirmed by biopsy or surgery were retrospectively analyzed.18 cases of unenhanced CT examination,8 cases of enhanced CT examination and 34 cases of MRI examination were performed in maxillofacial region.The features of CT and MRI images for all patients were analyzed,and the diagnostic results of two methods were compared.Results The positive detection rates of CT and MRI were 55.56%and 85.29%respectively,with a statistically significant difference(P<0.05).There was statistical significance between density and signal uniformity(P<0.05).There was no significant difference between CT and MRI image features for lesions with a maximum diameter<3 cm or≥3 cm,with or without envelope and enhancement mode(P>0.05).In this study,CT images showed equal or slightly low density,uniform or uneven density.Most lesions showed low signal on T1WI/FS,uneven high signal on STIR,and STIR sequence showed the best with envelope.Most lesions showed uneven progressive enhancement.Conclusion CT and MRI can show unique imaging features.In order to improve the diagnostic accuracy of parotid PA,the two examination methods can be combined for comprehensive diagnosis to provide more accurate imaging reference basis for patients.
作者
赵沙沙
安攀
王鑫
王文
崔光彬
ZHAO Sha-sha;AN Pan;WANG Xin;WANG Wen;CUI Guang-bin(Air Force Medical University:Functional and Molecular Imaging Key Lab of Shaanxi Province&Department of Radiology,Tangdu Hospital,Xian 710038,Shaanxi Province,China;Department of Radiology,Qinghua Hospital,Xian 710025,Shaanxi Province,China)
出处
《中国CT和MRI杂志》
2023年第8期37-38,52,共3页
Chinese Journal of CT and MRI
基金
头颈CTA结合多模态MRI评估脑血管病风险的综合影像策略(2018LCYJ005)。