CT及MR图像特征在鉴别眼眶良恶性肿瘤中的诊断价值  被引量:5

The value of related characteristic of CT and MR images in differentiating malignant from benign orbital tumors

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作  者:许晓泉[1] 吴飞云[1] 张廉良[1] 刘虎[2] 邵庆[2] 张智弘[3] 

机构地区:[1]南京医科大学第一附属医院放射科,江苏南京210029 [2]南京医科大学第一附属医院眼科,江苏南京210029 [3]南京医科大学第一附属医院病理科,江苏南京210029

出  处:《南京医科大学学报(自然科学版)》2013年第10期1464-1468,共5页Journal of Nanjing Medical University(Natural Sciences)

基  金:江苏省高校优势学科建设工程资助项目(JX10231801)

摘  要:目的:评估CT及MR图像特征在鉴别眼眶良恶性肿瘤中的诊断价值。方法:回顾性分析2009年7月~2012年12月经病理证实的79例眼眶肿瘤患者的影像学及临床资料。采用单因素分析眼眶肿瘤的良恶性与肿瘤部位、大小、形态、边界、位置、累及象限数量、骨质破坏、T1及T2信号、T1及T2信号均匀性、强化方式及CT值之间的相关性。并行多因素Logistic回归分析。结果:79例眼眶肿瘤包括良性肿瘤49例及恶性肿瘤30例。单因素分析结果显示,肿瘤形态、肿瘤边界、肿瘤位置、骨质破坏及T2信号与眼眶肿瘤良恶性相关。多因素Logistic回归分析结果显示,骨质破坏及T2加权呈等信号是判断眼眶恶性肿瘤的危险因素。结论:眼眶CT及MR可以清晰地显示眼眶肿瘤。若眼眶肿瘤合并骨质破坏或T2加权呈等信号,则恶性可能大。Objective:To evaluate the value of related characteristic of CT and MR images in differentiating malignant from benign orbital tumors. Methods:Seventy-nine cases with orbital lesions confirmed by CT, MR and pathological examination were enrolled in this study. The tumors,side,size,shape,margin,loeation,number of affected quadrant,bone destruction,T1 and T2 signal, homogeneity of T1 and T2 signal, enhancement pattern, and CT value were determined. Using single variate analysis and multivariate logistic regression,the correlation between the above mentioned factors and benign or malignant tumors was analyzed. Results: Seventy-nine cases included 49 benign cases and 30 malignant ones. Single variate analysis indicated that tumors, shape,margin, location, bone destruction, and T2 signal bore a close relationship to the benign and malignant orbital tumors. The multivariate logistic regression analysis showed that bone destruction and iso-intense on T2 weighted image were the risk factors of malignant orbital tumors. Conclusion: CT and MR can accurately locate the tumors in the orbit. If combined with bone destruction or iso-intense on T2 weighted image, the orbital lesions might be strongly suspected to be malignant.

关 键 词:眼眶肿瘤 良恶性 鉴别诊断 CT MR 

分 类 号:R445.2[医药卫生—影像医学与核医学] R445.6[医药卫生—诊断学]

 

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