Artificial intelligence software for diagnosing intracranial arterial occlusion in patients with acute ischemic stroke.

Autor: Fasen BACM; Department of Radiology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419 PC, Heerlen/Sittard/Geleen, The Netherlands., Berendsen RCM; Department of Medical Physics, Zuyderland Medical Center, Heerlen/Sittard/Geleen, The Netherlands., Kwee RM; Department of Radiology, Zuyderland Medical Center, Henri Dunantstraat 5, 6419 PC, Heerlen/Sittard/Geleen, The Netherlands. rmkwee@gmail.com.
Jazyk: angličtina
Zdroj: Neuroradiology [Neuroradiology] 2022 Aug; Vol. 64 (8), pp. 1579-1583. Date of Electronic Publication: 2022 Feb 09.
DOI: 10.1007/s00234-022-02912-1
Abstrakt: Purpose: To evaluate the diagnostic performance of AI software in diagnosing intracranial arterial occlusions in the proximal anterior circulation at CT angiography (CTA) and to compare it to manual reading performed in clinical practice.
Methods: Patients with acute ischemic stroke underwent CTA to detect arterial occlusion in the proximal anterior circulation. Retrospective review of CTA scans by two neuroradiologists served as reference standard. Sensitivity and specificity of AI software (StrokeViewer) were compared to those of manual reading using the McNemar test. The proportions of correctly detected occlusions in the distal internal carotid artery and/or M1 segment of the middle cerebral artery (large vessel occlusion [LVO]) and in the M2 segment of the middle cerebral artery (medium vessel occlusion [MeVO]) were calculated.
Results: Of the 474 patients, 75 (15.8%) had an arterial occlusion in the proximal anterior circulation according to the reference standard. Sensitivity of StrokeViewer software was not significantly different compared to that of manual reading (77.3% vs. 78.7%, P = 1.000). Specificity of StrokeViewer software was significantly lower than that of manual reading (88.5% vs. 100%, P < 0.001). StrokeViewer software correctly identified 40 of 42 LVOs (95.2%) and 18 of 33 MeVOs (54.5%). StrokeViewer software detected 8 of 16 (50%) intracranial arterial occlusions which were missed by manual reading.
Conclusion: The current AI software detected intracranial arterial occlusion with moderate sensitivity and fairly high specificity. The AI software may detect additional occlusions which are missed by manual reading. As such, the use of AI software may be of value in clinical stroke care.
(© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)
Databáze: MEDLINE
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