In vitro chronic hepatic disease characterization with a multiparametric ultrasonic approach
In vitro chronic hepatic disease characterization with a multiparametric ultrasonic approach
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DOI：
10.1016/j.ultras.2004.09.002
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发表时间：
2005-03-01
期刊：
影响因子：
4.2
通讯作者：
Laugier, P
中科院分区：
文献类型：
--
作者：
Meziri, M;Pereira, WCA;Laugier, P
虽然，高分辨率，实时超声（US）成像是常规可用的，图像解释是基于灰度和纹理和定量评价是有限的。来自US回声的其他潜在有用的诊断信息可能包括因疾病发展而导致的组织声学参数（速度、衰减和反向散射）的修改。声学参数的变化可以使用飞行时间和频谱分析techniques.本研究的目的是探讨三个参数（衰减系数，US速度和集成的背向散射系数-IBC）一起区分健康和肝组织纤维化亚组的潜力。使用20 MHz中心频率换能器（6-30 MHz带通）从21个新鲜的体外人肝样品和平面反射器获得回波。扫描平面平行于放置在肝脏下方的反射器。获得30 × 20矩阵的A扫描，步长为200 μ m。根据Metavir分级标准将样本分为五种不同程度的纤维化，根据文献中描述的标准方法估计US速度衰减和IBC。对每个参数的结果单独进行统计检验，结果表明不可能识别所有纤维化组。然后对这三个参数进行判别分析，从而合理分离纤维化组。虽然组织样本的数量有限，这项研究打开了可能性，提高判别能力的超声参数的肝组织疾病时，他们结合在一起。(c)2004 Elsevier B. V.保留所有权利。
Although, high resolution, real-time ultrasonic (US) imaging is routinely available, image interpretation is based on grey-level and texture and quantitative evaluation is limited. Other potentially useful diagnostic information from US echoes may include modifications in tissue acoustic parameters (speed, attenuation and backscattering) resulting from disease development. Changes in acoustical parameters can be detected using time-of-flight and spectral analysis techniques.The objective of this study is to explore the potential of three parameters together (attenuation coefficient, US speed and integrated backscatter coefficient-IBC) to discriminate healthy and fibrosis subgroups in liver tissue. Echoes from 21 fresh in vitro samples of human liver and from a plane reflector were obtained using a 20-MHz central frequency transducer (6-30 MHz bandpass). The scan plane was parallel to the reflector placed beneath the liver. A 30 x 20 matrix of A-scans was obtained, with a 200-mu m step. The samples were classified according to the Metavir scale in five different degrees of fibrosis.US speed attenuation and IBC were estimated from standard methods described in the literature. Statistical tests were applied to the results of each parameter individually and indicated that it was not possible to identify all the fibrosis groups. Then a discriminant analysis was performed for the three parameters together resulting in a reasonable separation of fibrotic groups. Although the number of tissue samples is limited, this study opens the possibility of enhancing the discriminant capability of ultrasonic parameters of liver tissue disease when they are combined together. (c) 2004 Elsevier B.V. All rights reserved.