Supporting fast, consistent stroke diagnosis
Key benefits of e-ASPECTS software
The lack of timely, available expertise for brain CT scan interpretation can delay stroke patients from accessing life-saving treatments.
e-ASPECTS, a CE-marked, class IIa medical device circumvents this delay by automatically implementing the ASPECTS scoring system. The software's Artificial Intelligence (AI) amplifies the physician's ability to interpret the CT scans enabling rapid and consistent quantification of early ischemic brain damage. Physicians can review results, anywhere, in less than one minute.
- Seamless integration
Following diagnosis, ischemic stroke patients are assessed to receive thrombolysis, endovascular treatment or for severe cases, decompressive craniotomy. These treatments are time-sensitive and decisions must be made quickly, within the first few hours of stroke onset, to result in the best possible outcome for the patient.
e-ASPECTS is designed to speed up the clinical decision making process, to improve patient outcomes. It helps optimize patient selection for stroke treatments, which can reduce associated costs by limiting the length of stay in hospital.
Results can be easily accessed via PACS, through the e-ASPECTS web interface, or sent to a clinician’s smartphone via email, ensuring rapid sharing throughout the stroke team.Download e-ASPECTS brochure
Consultants, stroke physicians, neurologists, radiologists, junior doctors, fellows, students, stroke nurses, clinical trials units and research organizations have all benefited from use of e-ASPECTS.
The manual ASPECTS method
The manual ASPECTS scoring system is an established and clinically validated method of supporting treatment decisions in stroke, and was invented by Brainomix co-founder Professor Alastair Buchan, the Dean of Medicine and Professor of Stroke Medicine at the University of Oxford. Its use is recommended in acute stroke patient treatment guidelines, worldwide.
More than 250 publications have assessed the clinical utility of manual ASPECTS, demonstrating that the score is a strong predictor of patient outcome following stroke treatment.
Hear clinician feedback on e-ASPECTS, from the Stroke Unit at Heidelberg University Hospital.