Medical imaging AI specialist Avicenna.AI has received CE mark certification for its CINA ASPECTS AI tool for stroke severity assessment. CINA ASPECTS automatically processes non-contrast computed tomography (CT) scans and calculates an Alberta Stroke Program Early CT (ASPECT) score in order to assist radiologists within their existing systems and workflow—according to an Avicenna.AI press release.
“CINA ASPECTS supports stroke physicians and radiologists in the assessment and characterisation of early ischaemic brain tissue injury using CT image data,” said Cyril Di Grandi, co-founder and CEO of Avicenna.AI. “This new tool demonstrates our commitment to providing radiologists with AI solutions that can enhance their capabilities. Securing a CE mark is a key milestone and we are delighted to be able to start offering the benefits of CINA ASPECTS to our European customers. We look forward to FDA clearance in due course.”
ASPECTS (Alberta Stroke Program Early CT Score) is a topographic scoring system used to quantify the severity of a stroke from a CT scan of the brain. It divides the brain territory affected by a stroke into 10 areas of interest, and provides a score between zero and 10, where 10 is normal and zero indicates widespread ischaemic damage throughout the affected area.
CINA ASPECTS computes a heat map indicating the probability of hypodensity and/or sulcal effacement in the brain, and displays a list of infarcted regions. It also provides tilted and resliced CT images to allow easy comparison of the right and left hemisphere. In addition to assisting clinicians to evaluate the ASPECT score from CT scans, CINA ASPECTS also helps improve the reproducibility of the score, which often varies depending on the radiologist reading the scan.
CINA ASPECTS is part of Avicenna.AI’s CINA Head family of AI tools that support the treatment of stroke and neurovascular emergencies. CINA Head also includes FDA-cleared and CE-marked tools for detecting intracranial haemorrhages (ICHs) and large vessel occlusions (LVOs) from CT scans.