{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,14]],"date-time":"2026-06-14T23:06:51Z","timestamp":1781478411028,"version":"3.54.1"},"reference-count":29,"publisher":"Wiley","issue":"2","license":[{"start":{"date-parts":[[2021,1,9]],"date-time":"2021-01-09T00:00:00Z","timestamp":1610150400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Neuroimaging"],"published-print":{"date-parts":[[2021,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:sec><jats:title>BACKGROUND AND PURPOSE<\/jats:title><jats:p>Iterative model reconstruction (IMR) has shown to improve computed tomography (CT) image quality compared to hybrid iterative reconstruction (HIR). Alberta Stroke Program Early CT Score (ASPECTS) assessment in early stroke is particularly dependent on high\u2010image quality. Purpose of this study was to investigate the reliability of ASPECTS assessed by humans and software based on HIR and IMR, respectively.<\/jats:p><\/jats:sec><jats:sec><jats:title>METHODS<\/jats:title><jats:p>Forty\u2010seven consecutive patients with acute anterior circulation large vessel occlusions (LVOs) and successful endovascular thrombectomy were included. ASPECTS was assessed by three neuroradiologists (one attending, two residents) and by automated software in noncontrast axial CT with HIR (iDose4; 5\u00a0mm) and IMR (5 and 0.9\u00a0mm). Two expert neuroradiologists determined consensus ASPECTS reading using all available image data including MRI. Agreement between four raters (three humans, one software) and consensus were compared using square\u2010weighted kappa (<jats:italic>\u03ba<\/jats:italic>).<\/jats:p><\/jats:sec><jats:sec><jats:title>RESULTS<\/jats:title><jats:p>Human raters achieved moderate to almost perfect agreement (<jats:italic>\u03ba<\/jats:italic>\u00a0=\u00a0.557\u2010.845) with consensus reading. The attending showed almost perfect agreement for 5\u00a0mm HIR (<jats:italic>\u03ba<\/jats:italic><jats:sub>HIR<\/jats:sub>\u00a0=\u00a0.845), while residents had mostly substantial agreements without clear trends across reconstructions. Software had substantial to almost perfect agreement with consensus, increasing with IMR 5 and 0.9\u00a0mm slice thickness (<jats:italic>\u03ba<\/jats:italic><jats:sub>HIR<\/jats:sub>\u00a0=\u00a0.751, <jats:italic>\u03ba<\/jats:italic><jats:sub>IMR<\/jats:sub>\u00a0=\u00a0.777, and <jats:italic>\u03ba<\/jats:italic><jats:sub>IMR0.9<\/jats:sub>\u00a0=\u00a0.814). Agreements inversely declined for these reconstructions for the attending (<jats:italic>\u03ba<\/jats:italic><jats:sub>HIR<\/jats:sub>\u00a0=\u00a0.845, <jats:italic>\u03ba<\/jats:italic><jats:sub>IMR<\/jats:sub>\u00a0=\u00a0.763, and <jats:italic>\u03ba<\/jats:italic><jats:sub>IMR0.9<\/jats:sub>\u00a0=\u00a0.681).<\/jats:p><\/jats:sec><jats:sec><jats:title>CONCLUSIONS<\/jats:title><jats:p>Human and software rating showed good reliability of ASPECTS across different CT reconstructions. Human raters performed best with the reconstruction algorithms they had most experience with (HIR for the attending). Automated software benefits from higher resolution with better contrasts in IMR with 0.9\u00a0mm slice thickness.<\/jats:p><\/jats:sec>","DOI":"10.1111\/jon.12810","type":"journal-article","created":{"date-parts":[[2021,1,14]],"date-time":"2021-01-14T08:30:24Z","timestamp":1610613024000},"page":"341-347","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Improved Reliability of Automated ASPECTS Evaluation Using Iterative Model Reconstruction from Head CT Scans"],"prefix":"10.1111","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6022-3682","authenticated-orcid":false,"given":"Maximilian T.","family":"L\u00f6ffler","sequence":"first","affiliation":[{"name":"Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich  Munich Germany"},{"name":"Department of Diagnostic and Interventional Radiology University Medical Center 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