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Multiparametric study to identify the hepatic fibrosis stages

机译:多参数研究以鉴定肝纤维化分期

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Ultrasonic parameters such as Backscatter Coefficient (Bc), Speed-of-Sound (SOS), Attenuation Coefficient (Ac), Mean Scatterer Spacing (MSS), and Spectral Slope (SS) have shown their potential to differentiate between healthy and pathologic samples in different organs (eye, breast, prostate, liver...). Recently, our group has looked into the characterization of hepatic fibrosis stages using the parameters cited above. The results have shown that none of them was able to individually distinguish between the different stages. Therefore, our aim is to explore a multiparametric approach by combining these parameters in pairs, to test their potential to discriminate between the liver fibrosis stages F0, F1, F3 and F4, according to Metavir Score. Discriminant analysis has shown that the most relevant individual parameter was Bc followed by SOS, SS, MSS and Ac, respectively. It has shown that the combinations of (Bc, SOS) was the best to differentiate between the fibrosis stages and have correctly classified 85% of the liver samples with a high significant level (p<0.0000).
机译:诸如背向散射系数(Bc),声速(SOS),衰减系数(Ac),平均散射体间距(MSS)和光谱斜率(SS)之类的超声参数已显示出它们有可能区分健康样本和病理样本不同的器官(眼睛,乳房,前列腺,肝脏...)。最近,我们小组使用上述参数研究了肝纤维化阶段的特征。结果表明,它们中没有一个能够单独区分不同阶段。因此,我们的目标是通过将这些参数成对组合来探索一种多参数方法,以测试它们根据Metavir评分区分肝纤维化阶段F0,F1,F3和F4的潜力。判别分析表明,最相关的单个参数是Bc,然后分别是SOS,SS,MSS和Ac。结果表明,(Bc,SOS)的组合是区分纤维化阶段的最佳方法,并且正确分类了85%的肝样品,具有很高的显着水平(p <0.0000)。

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