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Role of contrast enhanced ultrasound in hepatic imaging
Author(s) -
Ekta Dhamija
Publication year - 2014
Publication title -
tropical gastroenterology
Language(s) - English
Resource type - Journals
eISSN - 2320-5792
pISSN - 0250-636X
DOI - 10.7869/tg.201
Subject(s) - contrast enhanced ultrasound , medicine , radiology , ultrasound , magnetic resonance imaging , modality (human–computer interaction) , grey scale , ultrasound imaging , computer science , artificial intelligence
Grey scale ultrasound (US) is the first line imaging modality used for the evaluation of liver by the radiologists and clinicians worldwide. It is a simple, inexpensive, safe and an easily available technique. US has the ability to delineate the hepatic parenchyma and differentiate the cystic from solid hepatic lesions. However, it has limited accuracy in the detection and characterization of focal liver lesions (FLL). CEUS is a major breakthrough in ultrasound imaging which evolved with the aim of overcoming these limitations of US. With the use of ultrasound contrast agents (UCAs), CEUS has the ability to detect the intranodular hemodynamics and thereby provide information of the enhancement pattern of the lesion resulting in reliable characterization of the FLL. This capability brings it at par with the cross sectional contrast enhanced imaging techniques of computed tomography and magnetic resonance imaging. UCAs are safe, non-nephrotoxic and thus can be used to evaluate patients with renal failure as well. The technique of CEUS is simple, requires few minutes to perform, portable, lacks ionising radiation and above all is a cost-effective modality. These advantages have made CEUS an established modality for hepatic imaging. Besides detection and characterization of FLL, it also plays a vital role in the management and repeated follow up of treated patients of FLL. Newer clinical applications of CEUS with promising results are also being unravelled . This review highlights the multifaceted role of CEUS in hepatic imaging and its upcoming clinical applications.

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