Imaging, blood test aims to ID risk of stroke recurrence

A team in Scotland has developed a two-step method of identifying individuals at risk for recurrent intracerebral hemorrhage (ICH).

The team, led by Mark A Rodrigues with the Centre for Clinical Brain Sciences at the University of Edinburgh in Scotland, published findings online Jan. 10 in Lancet Neurology.

 “We aimed to develop a prediction model for the identification of cerebral amyloid angiopathy (CAA)-associated lobar intracerebral hemorrhage using CT features and genotype,” Rodrigues et al. wrote.

The research focused on 110 individuals who had died from brain bleeding, with a goal of identifying risk of cerebral amyloid angiopathy (CAA), which is linked to stroke and dementia.

Read more at Health Imaging:

""
Nicholas Leider, Managing Editor

Nicholas joined TriMed in 2016 as the managing editor of the Chicago office. After receiving his master’s from Roosevelt University, he worked in various writing/editing roles for magazines ranging in topic from billiards to metallurgy. Currently on Chicago’s north side, Nicholas keeps busy by running, reading and talking to his two cats.

Around the web

Ron Blankstein, MD, professor of radiology, Harvard Medical School, explains the use of artificial intelligence to detect heart disease in non-cardiac CT exams.

Eleven medical societies have signed on to a consensus statement aimed at standardizing imaging for suspected cardiovascular infections.

Kate Hanneman, MD, explains why many vendors and hospitals want to lower radiology's impact on the environment. "Taking steps to reduce the carbon footprint in healthcare isn’t just an opportunity," she said. "It’s also a responsibility."