Ultrasound model predicts liver disease progress

A predictive model combining multiple ultrasonic parameters could discriminate between different liver diseases in a study published March 19 in Radiology. A team of researchers led by Fangyi Liu, MD, from the Chinese PLA General Hospital in Beijing, found that their multiparametric ultrasound model can predict metabolic dysfunction-associated steatohepatitis (MASH) in patients with metabolic dysfunction-associated fatty liver disease (MAFLD), regardless of hepatitis B virus infection status. “These findings are important for noninvasive assessment of the MAFLD disease process,” the Liu team wrote. Previous studies have demonstrated the predictive power of multiparametric ultrasound models that use attenuation imaging and 2D shear-wave elastography (SWE) for assessing liver disease. The results have been promising when compared to liver biopsy. Researchers in this area have focused on methods for noninvasively assessing liver disease. However, Liu and colleagues pointed out that these studies have mostly taken place at single centers, with multicenter studies lacking. The researchers investigated the ability of multiparametric ultrasound modeling with attenuation imaging and 2D SWE to predict MASH in patients with MAFLD. “To our knowledge, this is the first prospective multicenter study on noninvasive quantitative evaluation of MAFLD using multiparametric ultrasound,” they highlighted. The study included 424 participants with a median age of 47 years. This inclu...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Clinical News Ultrasound Genitourinary Radiology Source Type: news