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Imaging patterns and focal lesions in fatty liver: a pictorial review

Overview of attention for article published in Abdominal Radiology, December 2016
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Title
Imaging patterns and focal lesions in fatty liver: a pictorial review
Published in
Abdominal Radiology, December 2016
DOI 10.1007/s00261-016-1002-6
Pubmed ID
Authors

Sudhakar K. Venkatesh, Tiffany Hennedige, Geoffrey B. Johnson, David M. Hough, Joel G. Fletcher

Abstract

Non-alcoholic fatty liver disease is the most common cause of chronic liver disease and affects nearly one-third of US population. With the increasing trend of obesity in the population, associated fatty change in the liver will be a common feature observed in imaging studies. Fatty liver causes changes in liver parenchyma appearance on imaging modalities including ultrasound, computed tomography (CT), and magnetic resonance imaging (MRI) and may affect the imaging characteristics of focal liver lesions (FLLs). The imaging characteristics of FLLs were classically described in a non-fatty liver. In addition, focal fatty change and focal fat sparing may also simulate FLLs. Knowledge of characteristic patterns of fatty change in the liver (diffuse, geographical, focal, subcapsular, and perivascular) and their impact on the detection and characterization of FLL is therefore important. In general, fatty change may improve detection of FLLs on MRI using fat suppression sequences, but may reduce sensitivity on a single-phase (portal venous) CT and conventional ultrasound. In patients with fatty liver, MRI is generally superior to ultrasound and CT for detection and characterization of FLL. In this pictorial essay, we describe the imaging patterns of fatty change in the liver and its effect on detection and characterization of FLLs on ultrasound, CT, MRI, and PET.

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Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 23%
Other 11 20%
Student > Ph. D. Student 4 7%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 4 7%
Unknown 18 32%
Readers by discipline Count As %
Medicine and Dentistry 22 39%
Biochemistry, Genetics and Molecular Biology 3 5%
Agricultural and Biological Sciences 2 4%
Engineering 2 4%
Psychology 2 4%
Other 4 7%
Unknown 21 38%