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Transient homogeneously enhancing hepatic masses: can size predict benignity?

机译:暂时均匀地增加肝脏肿块:大小可以预测良性吗?

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OBJECTIVE: The purpose of our study was to test the hypothesis that, in noncirrhotic livers, large size predicts benignity of masses that homogeneously hyperenhance on arterial phase CT and then fade to isoattenuation. MATERIALS AND METHODS: All multiphasic CT scans obtained at a cancer center over a 2-year period were reviewed. In consensus, three authors retrospectively identified 227 hepatic masses (> or = 5 mm) in 55 noncirrhotic patients that homogeneously hyperenhanced on arterial phase and then faded to isoattenuation: 107 masses were malignant and 120 were benign; 37 patients had benign and 18 patients had malignant masses. Two analytic approaches were pursued: per lesion and per patient. For the per-lesion analysis, the mean cross-sectional diameter of each mass was calculated and receiver operator characteristics (ROC) were assessed. For the per-patient analysis, the maximum lesion diameter was determined for each subject and logistic regression models were used to predict lesion classification (benign vs malignant) based on per-patient maximum lesion size and additional information. RESULTS: Masses ranged from 5 to 84.5 mm. All 29 masses > or = 22 mm were benign. Size was a statistically significant classifier of benign versus malignant lesions in the per-lesion analysis (p = 0.024, ROC area under the curve) and a significant or trend-level predictor of tumor type in the per-patient analysis (logistic regression p values of the diameter coefficients: 0.01-0.07). CONCLUSION: In noncirrhotic livers, relatively large size is a significant or trend-level predictor for benign tumors. Homogeneously hyperenhancing masses > or = 22 mm that fade to isoattenuation are benign; smaller masses may be malignant.
机译:目的:我们的研究目的是检验以下假设:在非肝硬化的肝脏中,大尺寸可预示在动脉期CT上均会过度增强然后逐渐消退至等衰减的肿块的良性。材料与方法:回顾了在癌症中心历时2年的所有多相CT扫描。一致的是,三位作者回顾性分析了55例非肝硬化患者的227例肝脏肿块(>或= 5 mm),这些患者在动脉期均匀增高,然后逐渐消退至等衰减:107例恶性肿块和120例良性肿块。良性37例,恶性肿块18例。追求两种分析方法:每个病变和每个患者。对于病灶分析,计算每个肿块的平均横截面直径,并评估接收器操作员特征(ROC)。对于每个病人的分析,确定每个受试者的最大病变直径,并使用逻辑回归模型基于每个病人的最大病变大小和其他信息来预测病变分类(良性与恶性)。结果:质量范围为5到84.5毫米。所有≥22 mm的29个肿块均为良性。大小在每个病灶分析中是良性还是恶性病变的统计学显着分类器(p = 0.024,曲线下的ROC面积),在每个病人分析中是肿瘤类型的显着或趋势水平的预测指标(逻辑回归p值)直径系数:0.01-0.07)。结论:在非肝硬化的肝脏中,相对较大的大小是良性肿瘤的重要或趋势水平的预测指标。均质超增强质量>或= 22 mm,逐渐衰减到等衰减是良性的;较小的肿块可能是恶性的。

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