Algorithm-based approach to focal liver lesions in contrast-enhanced ultrasound

Kheng Song Leow, Christine Ying Kwok, Hsien Min Low, Rahul Lohan, Tze Chwan Lim, Su Chong Albert Low, Cher Heng Tan
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引用次数: 1

Abstract

Focal liver lesions are commonly encountered. Grey-scale and Doppler sonographic characteristics of focal liver lesions are often non-specific and insufficient to conclusively characterise lesions as benign or malignant. Contrast-enhanced ultrasound is useful for the characterisation of FLLs in patients who are unable to undergo contrast-enhanced computed tomography or magnetic resonance imaging. It is also easily available and relatively cheap. However, interpretation of contrast-enhanced ultrasound can be challenging without a systematic approach. In this pictorial essay, we highlight an algorithm-based approach to FLLs and discuss the characteristic contrast-enhanced ultrasound features of commonly encountered and clinically significant focal liver lesions.

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基于算法的肝局灶性超声造影检查方法
局灶性肝脏病变是常见的。局灶性肝病变的灰度和多普勒超声特征通常是非特异性的,不足以确定病变的良性或恶性特征。对比增强超声对于无法进行对比增强计算机断层扫描或磁共振成像的患者的fll特征是有用的。它也很容易获得,而且相对便宜。然而,如果没有系统的方法,对比增强超声的解释可能具有挑战性。在这篇图片文章中,我们强调了一种基于算法的fll方法,并讨论了常见和临床显著的局灶性肝脏病变的特征性对比增强超声特征。
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来源期刊
Australasian Journal of Ultrasound in Medicine
Australasian Journal of Ultrasound in Medicine Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
1.90
自引率
0.00%
发文量
40
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