AI stroke software differences don ' t affect thrombectomy eligibility

Although two commercially available AI software applications can yield different volume estimations on stroke CT perfusion (CTP) studies, the differences aren't significant enough to affect patient eligibility for thrombectomy, researchers reported in an article published May 2 in the Journal of Stroke Cerebrovascular Diseases. However, there are still important issues to be aware of. In a study involving 362 stroke cases, researchers led by first author Benjamin Alwood, MD, in the department of vascular neurology at the University of Florida in Jacksonville, and colleagues, compared core and penumbra volumes estimated by AI stroke detection software from Viz.ai and Rapid AI and assessed DEFUSE-3 thrombectomy eligibility. While there were systematic differences in estimates between the software applications, DEFUSE-3 thrombectomy eligibility wasn't statistically different. However, they did find one eligibility difference on one scanner at one institution, suggesting that scanner model and local CTP protocols can influence performance and cause discrepancies in thrombectomy eligibility. "We thus recommend centers discuss optimal scanning protocols with software vendors and scanner manufacturers to maximize CTP accuracy," the authors wrote. Studies were performed on 10 scanners from four different manufacturers: four Aquilion One (Canon Medical Systems), three Discovery scanners (GE HealthCare), one Revolution scanner (GE), one Ingenuity scanner (Phillips), and one Somatom ...
Source: AuntMinnie.com Headlines - Category: Radiology Authors: Tags: Industry News CT Artificial Intelligence Neuroradiology Source Type: news