Imaging method may help identify risk of brain bleeding following stroke

An analysis of patients who received endovascular therapy within 12 hours of stroke onset found that the amount of blood-brain barrier disruption on pretreatment MRIs was associated with the severity of intracranial hemorrhage.

Richard Leigh, MD, of the National Institute of Neurological Disorders and Stroke, and colleagues published their results online in Neurology on June 17.

“Examining blood-brain barrier disruption on brain images may potentially help doctors identify patients not likely to benefit from endovascular therapy,” the researchers said in a news release.

For this trial, the researchers evaluated 100 patients who enrolled in the DEFUSE-2 (Diffusion and Perfusion Imaging Evaluation for Understanding Stroke Evolution-2) study. They received brain scans of patients before they underwent endovascular therapy.

By using a new image processing method, Leigh and his colleagues found that extensive disruption in the blood-brain barrier was associated with parenchymal hematoma. Of the patients, 24 developed parenchymal hematoma, a type of bleeding in the brain with the highest risk for patients.

The researchers said that the presence of blood-brain barrier disruption on the pretreatment scan was associated with parenchymal hematoma. The odds ratio for developing parenchymal hematoma was 1.69 for each 10 percent increase in blood-brain barrier disruption. However, they noted that “a reliably predictive threshold was not identified.”

“The biggest impact of this research is that information from MRI scans routinely collected at a number of research hospitals and stroke centers can inform treating physicians on the risk of bleeding,” Leigh said in a news release. “It is too early to say how these images will be able to help guide clinical decisions, but they can expand how we think about stroke, especially as we try to broaden treatment options for this disease that can have devastating consequences.”

Tim Casey,

Executive Editor

Tim Casey joined TriMed Media Group in 2015 as Executive Editor. For the previous four years, he worked as an editor and writer for HMP Communications, primarily focused on covering managed care issues and reporting from medical and health care conferences. He was also a staff reporter at the Sacramento Bee for more than four years covering professional, college and high school sports. He earned his undergraduate degree in psychology from the University of Notre Dame and his MBA degree from Georgetown University.

Around the web

Several key trends were evident at the Radiological Society of North America 2024 meeting, including new CT and MR technology and evolving adoption of artificial intelligence.

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.