Assessing the Eligibility of Brainomix e-ASPECTS for Acute Stroke Imaging

Mateusz Dorochowicz^1*Arkadiusz Kacała^1,2Michał Puła¹Adrian Korbecki¹Aleksandra Kosikowska³Aleksandra Tołkacz³Anna Zimny^1,2Maciej Guziński^1,2

• ¹Department of General, Interventional and Neuroradiology, Wroclaw University Hospital, 50-556 Wrocław, Poland, Wrocław, Poland
• ²Department of Radiology, Wroclaw Medical University, Borowska str. 213, 50-556 Wroclaw, Poland, Wrocław, Poland
• ³Faculty of Medicine, Wroclaw Medical University, 50-367 Wrocław, Poland, Wrocław, Poland

ABSTRACT Background: Timely and accurate assessment of acute ischemic stroke is crucial for determining eligibility for mechanical thrombectomy. The Alberta Stroke Program Early CT Score (ASPECTS) is a widely used tool for evaluating early ischemic changes on non-contrast CT (NCCT), but its interpretation is subject to interobserver variability. Brainomix e-ASPECTS is an automated software designed to standardize and expedite this assessment. We aimed to evaluate the clinical utility and diagnostic performance of the Brainomix e-ASPECTS software in an unselected, real-world cohort of patients undergoing NCCT for suspected acute ischemic stroke. Methods: We retrospectively analyzed 1029 NCCT studies from 954 patients between March 2020 and December 2024. e-ASPECTS scores were compared to radiologist-assigned ASPECTS, which served as the reference standard. Diagnostic accuracy, sensitivity, specificity, and correlation between scoring methods were assessed. Results: There was a strong correlation between e-ASPECTS and radiologist ASPECTS (ρ = 0.953, p < 0.001). For detecting acute ischemia, sensitivity was 95.8 % (95% CI, 93.6-97.3%), specificity 96.9% (95% CI, 94.7-98.2%), and overall accuracy 96.3% (95% CI, 95.1–97.5%). The positive predictive value was 97.2% (95% CI, 95.3-98.4%), and the negative predictive value was 95.3% (95% CI, 92.8-96.9%). Score concordance was high, with exact matches in 92.3% of cases and a ≤1-point difference in 97.7%. Misclassification for thrombectomy eligibility (ASPECTS < 6) occurred in four cases (0.4%). The software achieved a processing success rate of 91.9%. Conclusion: E-ASPECTS demonstrates high diagnostic accuracy and strong agreement with expert radiological assessment, supporting its role as a valuable decision support tool in acute stroke imaging. However, its use should complement, not replace, expert interpretation, particularly in patients with low ASPECTS scores, where treatment decisions are most sensitive.