Department of Radiology, Capital Medical University, Beijing Tongren Hospital, Beijing, China.
Eur Radiol. 2010 Jul;20(7):1692-702. doi: 10.1007/s00330-009-1711-0. Epub 2010 Feb 4.
To prospectively evaluate magnetic resonance (MR) imaging including dynamic contrast-enhanced MR imaging in the differentiation of benign from malignant orbital masses and to evaluate which MR imaging features are most predictive of malignant tumors.
The study was approved by the institutional review board and signed informed consent was obtained. Nonenhanced, static, and dynamic contrast-enhanced MR imaging was performed in 102 adult patients with an orbital mass. Diagnosis was based on histologic findings. MR imaging features of benign and malignant orbital lesions were evaluated correlated with histological findings. Multivariate logistic regression analysis was employed to identify the best combination of MR imaging features that might be predictive of malignancy.
Nonenhanced, static, and dynamic enhancement MR imaging was significantly superior to two other models in prediction of malignancy (p < 0.05). Multivariate logistic regression analysis identified that the most discriminating MR imaging features were isointense mass on T2-weighted imaging and a washout-type time-intensity curve for both observers.
Nonenhanced, static, and dynamic enhancement MR imaging improved differentiation between benign and malignant orbital masses in adult patients.
前瞻性评估磁共振成像(MR 成像),包括动态对比增强 MR 成像,以区分良性和恶性眼眶肿块,并评估哪些 MR 成像特征对恶性肿瘤最具预测性。
本研究经机构审查委员会批准,并获得患者签署的知情同意书。102 例成人眼眶肿块患者进行了非增强、静态和动态对比增强 MR 成像。诊断基于组织学发现。评估了良性和恶性眼眶病变的 MR 成像特征,并与组织学发现相关联。采用多变量逻辑回归分析确定最能预测恶性肿瘤的最佳 MR 成像特征组合。
非增强、静态和动态增强 MR 成像在预测恶性肿瘤方面明显优于其他两种模型(p<0.05)。多变量逻辑回归分析确定最具鉴别力的 MR 成像特征是 T2 加权成像上等信号肿块和两位观察者的洗脱型时间-强度曲线。
非增强、静态和动态增强 MR 成像改善了成人眼眶良恶性肿块的鉴别诊断。