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首页> 外文期刊>AJR: American Journal of Roentgenology : Including Diagnostic Radiology, Radiation Oncology, Nuclear Medicine, Ultrasonography and Related Basic Sciences >B-mode ultrasound with algorithm based on statistical analysis of signals: evaluation of liver fibrosis in patients with chronic hepatitis C.
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B-mode ultrasound with algorithm based on statistical analysis of signals: evaluation of liver fibrosis in patients with chronic hepatitis C.

机译:具有基于信号统计分析的算法的B型超声:对慢性丙型肝炎患者肝纤维化的评估。

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摘要

OBJECTIVE: The purpose of this study was to evaluate the degree of liver fibrosis in patients with chronic hepatitis C by use of a method in which the homogeneity of the tissue texture of the liver on B-mode ultrasound images is analyzed on the basis of results of a statistical chi-square test of the echo amplitudes. The method includes an algorithm for removing small structures, such as cross sections of the thin vessels, in the background texture to minimize differences in analysis results between users. SUBJECTS AND METHODS: Analysis was performed on images of 148 patients with histologically proven chronic hepatitis C without cirrhosis. The peak value of the C(m)(2) (modified chi-square distribution) histogram was calculated from B-mode ultrasound images, and the resulting value was compared with the histologic fibrosis grade. RESULTS: The peak C(m)(2) histogram value for grade F3 fibrosis was higher than that for grades F0 and F1 (p < 0.0001) and F2 (p = 0.0003). The value for grade F2 was higher than that for grades F0 and F1 (p = 0.0027). The values gradually increased with an increase in liver fibrosis grade, although no difference was found between grades F0 and F1. CONCLUSION: The grades of liver fibrosis in patients with chronic hepatitis C are well discriminated with the B-mode ultrasound-based analysis algorithm without discrimination between grades F0 and F1. Findings on conventional ultrasound images may reflect progression of liver fibrosis even in the absence of cirrhosis.
机译:目的:本研究旨在评估慢性丙型肝炎患者的肝纤维化程度,该方法根据结果分析B型超声图像上肝脏组织质地的均匀性回波幅度的统计卡方检验。该方法包括用于去除背景纹理中的细小结构(例如细血管的横截面)的算法,以最大程度地减少用户之间的分析结果差异。研究对象和方法:对148例经组织学证实无肝硬化的慢性丙型肝炎患者的图像进行了分析。从B型超声图像计算出C(m)(2)(修正的卡方分布)直方图的峰值,并将其与组织学纤维化等级进行比较。结果:F3级纤维化的峰值C(m)(2)直方图值高于F0和F1级(p <0.0001)和F2(p = 0.0003)。 F2级的值高于F0和F1级的值(p = 0.0027)。该值随着肝纤维化等级的增加而逐渐增加,尽管在等级F0和F1之间未发现差异。结论:利用基于B型超声的分析算法可以很好地区分慢性丙型肝炎患者的肝纤维化等级,而不能区分等级F0和F1。即使没有肝硬化,常规超声图像上的发现也可能反映出肝纤维化的进展。

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