Brainomix has announced the launch of the latest version of the company’s stroke imaging platform, e-Stroke Suite 10.0, which includes clot detection from non-contrast computed tomography (CT) scans and is designed to enable clinicians to more broadly identify thrombectomy-eligible stroke patients.
The new software incorporates a series of artificial intelligence (AI) technologies, including detection and measurement of both large vessel occlusion (LVO) and hyperdense volumes from non-contrast CT scans.
It also offers graphical visualisation of CT angiography (CTA) acquisition timing, arch-to-vertex CTA viewing, and the capability to derive CTA results from a CT perfusion scan, as well as a new feature enabling clinicians to enter patient data that can then be shared via the e-Stroke Cloud and e-Stroke Mobile app.
Finally, a ‘virtual hub’ enabling secure, real-time sharing of images and patient characteristics across a previously unconnected network has been incorporated to address another barrier to expedient patient transfer between many hospitals.
The detection of LVO— one of the leading determinants of patient eligibility for mechanical thrombectomy— from universally available NCCT [spell out] scans may have profound clinical value, enabling earlier decisions about treatment and formal CTA if not routinely acquired.
Christian Herweh, a consultant in the Department of Neuroradiology at Heidelberg University Hospital, [city, country] said: “With the e-Stroke Suite now enabling automated detection of hyperdense artery signs suggestive of LVO on NCCT, more patients should be flagged as thrombectomy eligible— particularly those admitted first to smaller hospitals with less established stroke pathways, who can then be transferred for treatment to a specialist centre.”