首页> 外文期刊>Journal of computer assisted tomography >Differentiating focal eosinophilic necrosis of the liver from hepatic metastases using unenhanced and portal venous phase computed tomographic imagings: results of univariate and multivariate statistical analyses.
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Differentiating focal eosinophilic necrosis of the liver from hepatic metastases using unenhanced and portal venous phase computed tomographic imagings: results of univariate and multivariate statistical analyses.

机译:使用未增强和门静脉期计算机断层扫描成像来区分肝脏局灶性嗜酸性粒细胞坏死与肝转移:单变量和多变量统计分析的结果。

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OBJECTIVE: To evaluate the usefulness of computed tomographic (CT) predictors on portal venous phase images and a new CT predictor on unenhanced images in differentiating focal eosinophilic necrosis (FEN) from hepatic metastases. MATERIALS AND METHODS: Computed tomographic findings were analyzed in 20 patients with FEN (n = 84) and 23 patients with hepatic metastases (n = 81). Computed tomographic features were compared using univariate and multivariate analyses to determine significant findings. RESULTS: An irregular shape, a subtle low attenuation, a fuzzy margin, and absences of a contour bulging and a rimlike enhancement on the portal venous phase images and absence of a discernable low attenuation on the unenhanced images were significant variables favoring FEN in univariate analysis. In multivariate analysis, no discernable low attenuation on the unenhanced images and an irregular shape and a subtle low attenuation on the portal venous phase images were the variables independently favoring FEN. CONCLUSIONS: Not only portal phase images but also unenhanced images can be helpful to differentiate FEN from hepatic metastases.
机译:目的:评估计算机断层扫描(CT)预测器对门静脉期图像和新的CT预测器对增强性局灶性嗜酸性坏死(FEN)与肝转移的区别。材料与方法:对20例FEN患者(n = 84)和23例肝转移患者(n = 81)的计算机断层扫描结果进行了分析。使用单变量和多变量分析对计算机断层扫描特征进行比较,以确定重大发现。结果:不规则形状,微弱的低衰减,模糊边界,门静脉相图像上没有轮廓凸出和边缘状增强,未增强图像上没有明显的低衰减是单变量分析中有利于FEN的重要变量。在多变量分析中,未增强图像上没有明显的低衰减,门静脉相图像上的不规则形状和微弱的低衰减是独立于FEN的变量。结论:不仅门脉期图像而且未增强的图像也可以帮助区分FEN和肝转移。

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