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首页> 外文会议>International conference on advancements of medicine and health care through technology >Non-invasive Steatosis Assessment through the Computerized Processing of Ultrasound Images: Attenuation versus First Order Texture Parameters
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Non-invasive Steatosis Assessment through the Computerized Processing of Ultrasound Images: Attenuation versus First Order Texture Parameters

机译：通过计算机处理超声图像进行非侵入性脂肪变性评估：衰减与一阶纹理参数

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摘要

Steatosis is a frequent histological finding in pa tients with chronic hepatitis C virus (VHC) infection. Usual ultrasonography (US) cannot accurately detect the steatosis grade, nor can it always discriminate between steatosis and fibrosis. An improvement of usual US examination is currently under research. A possible approach might be the computer ized processing of the data comprised in the US image. In the present paper we set out to compare the performance of two computerized methods for the steatosis assessment on the US images: the attenuation coefficient and the first order textural parameters (FO): Mean, Standard Deviation and Skewness. The attenuation coefficient correlated significantly with steatosis (r=-0.444, p<0.0001), but not with fibrosis (r=-0.046, p=0.395) or necroinflanunatory activity (r=-0056, p=0.211). Of the FO parameters, only the FO mean correlated significantly with steatosis (r=0.300, p<0.0001), but also with necroinflanunatory activity (r=0.128, p=0004). The present study proves that, in patients having chronic hepatitis C, the attenuation coefficient, but also the FO mean, can discriminate between different steatosis grades; however, the attenuation coefficient has a better performance than the FO mean, being influenced only by steatosis, not by fibrosis or necroinflanuna tory activity. The area under the ROC curve is significantly better for the attenuation coefficient as compared to the FO mean for the prediction of steatosis regardless of the grade (0.741 vs 0.652, p=0.001), as well as for the prediction of mod erate/severe steatosis (0.791 vs 0.719, p=0.043).
机译：脂肪变性是慢性丙型肝炎病毒（VHC）感染患者的常见组织学发现。常规超声检查（US）无法准确检测出脂肪变性等级，也无法始终区分脂肪变性和纤维化。目前正在研究对美国常规考试的改进。一种可能的方法可能是对美国图像中包含的数据进行计算机处理。在本文中，我们着手比较两种计算机化方法在美国图像上进行脂肪变性评估的性能：衰减系数和一阶纹理参数（FO）：均值，标准偏差和偏度。衰减系数与脂肪变性（r = -0.444，p <0.0001）显着相关，而与纤维化（r = -0.046，p = 0.395）或坏死性雌激素活性（r = -0056，p = 0.211）无关。在FO参数中，仅FO均值与脂肪变性显着相关（r = 0.300，p <0.0001），但也与坏死因子活性（r = 0.128，p = 0004）相关。本研究证明，在患有慢性丙型肝炎的患者中，衰减系数以及FO均值可以区分不同的脂肪变性等级。但是，衰减系数的性能比FO均值好，仅受脂肪变性影响，不受纤维化或坏死因子的保守活性影响。与FO平均值相比，ROC曲线下的面积与FO平均值相比，无论等级如何（0.741 vs 0.652，p = 0.001），以及中等或严重脂肪变性的预测，都明显好于FO平均值。 （0.791 vs 0.719，p = 0.043）。

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