We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Quantitative Ultrasound Helps Stage Fatty Liver

By MedImaging International staff writers
Posted on 17 Feb 2016
Print article
Image: Original B-Mode image next to back scan-converted B-mode image with interactively drawn fat layer contour (white dotted line); initial fixed region of interest (white rectangle); automatic segmentation within region of interest (white ellipses) (Photo courtesy of Ultrasound in Medicine & Biology).
Image: Original B-Mode image next to back scan-converted B-mode image with interactively drawn fat layer contour (white dotted line); initial fixed region of interest (white rectangle); automatic segmentation within region of interest (white ellipses) (Photo courtesy of Ultrasound in Medicine & Biology).
A new study suggests that computer-aided ultrasound could be used to stage hepatic steatosis, with a high correlation to magnetic resonance imaging (MRI) spectroscopy.

Researchers at Radboud University Medical Center (Nijmegen, the Netherlands) conducted a pilot study in 14 patients on long-term home parenteral nutrition using a phased array ultrasound transducer connected to a calibrated ultrasound machine, with the radio frequency (RF) data converted into conventional B-mode images with the aid of computer software. All patients were also subjected to proton MRI spectroscopy measurement of liver fat content for reference.

The results showed that computer-aided ultrasound parameters, similar to those in a previous validation study in cows, demonstrated significant correlation with fat content as measured by MRI spectroscopy, with the most significant parameters being residual attenuation coefficient and lateral speckle size. According to the researchers, the method shows promise as a noninvasive, easy, and inexpensive alternative to invasive biopsies or expensive MRI spectroscopy techniques. The study was published in the March 2016 issue of Ultrasound in Medicine & Biology.

“Patients on home parenteral nutrition are at risk for developing liver dysfunction, which is due partly to the accumulation of lipids in the liver and may progress to end-stage liver disease with overt liver failure,” said lead author Gert Weijers, PhD, of the Radboud Medical Ultrasound Imaging Centre (MUSIC). “Therefore, a timely diagnosis with easy access to repeated assessment of the degree of liver steatosis is of great importance.”

Steatosis in the liver, when it is not due to excessive alcohol use, is most often related to insulin resistance and to metabolic syndrome, and as a result may respond to treatments originally developed for other insulin-resistant states, such as diabetes mellitus type 2. Steatosis is also the most common liver disease of high-yielding dairy cattle during early lactation, making it a suitable animal model for studying liver fat accumulation.

Related Links:

Radboud University Medical Center


New
Gold Member
X-Ray QA Meter
T3 AD Pro
New
Digital Radiographic System
OMNERA 300M
New
Digital X-Ray Detector Panel
Acuity G4
Wall Fixtures
MRI SERIES

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.