AI improves accuracy of brain MRI for amyloid abnormality monitoring

Using AI software with brain MR imaging improves the diagnostic accuracy for the monitoring of amyloid-related imaging abnormalities (ARIA) in patients undergoing beta amyloid-directed antibody therapies for Alzheimer's disease, researchers have found. Using AI in this way could improve patient care, noted a team led by Diana Sima, PhD, of Icometrix in Leuven, Belgium. The group's findings were published February 12 in JAMA Network Open. "Timely detection and accurate characterization and quantification of ARIA are essential to guide treatment decisions," the investigators wrote. Patients undergoing beta amyloid-directed antibody therapies for Alzheimer's disease are at risk of amyloid-related imaging abnormalities, and require close monitoring, Sima and colleagues noted. But detecting ARIA and assessing its severity can be tricky. "[Previous] studies demonstrate that radiologists with limited previous experience with ARIA may have difficulty identifying ARIA events in a large proportion of cases," they explained. "Hence, there may be an opportunity to increase accuracy of radiological reading via an assistive automated detection and diagnosis software tool, which, to our knowledge, currently is yet to be developed and validated." To this end, the team conducted a study to test an AI tool that would support the detection of ARIAs. The research included 16 radiologists who read brain MRI exams from 199 patients who participated in aducanumab clinical trials. The radiologi...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Artificial Intelligence Source Type: news