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Impact of e-ASPECTS software on the performance of physicians compared to a consensus ground truth: a multi-reader, multi-case study

Abstract:
BackgroundThe Alberta Stroke Program Early CT Score (ASPECTS) is used to quantify the extent of injury to the brain following acute ischemic stroke (AIS) and to inform treatment decisions. The e-ASPECTS software uses artificial intelligence methods to automatically process non-contrast CT (NCCT) brain scans from patients with AIS affecting the middle cerebral artery (MCA) territory and generate an ASPECTS. This study aimed to evaluate the impact of e-ASPECTS (Brainomix, Oxford, UK) on the performance of US physicians compared to a consensus ground truth.MethodsThe study used a multi-reader, multi-case design. A total of 10 US board-certified physicians (neurologists and neuroradiologists) scored 54 NCCT brain scans of patients with AIS affecting the MCA territory. Each reader scored each scan on two occasions: once with and once without reference to the e-ASPECTS software, in random order. Agreement with a reference standard (expert consensus read with reference to follow-up imaging) was evaluated with and without software support.ResultsA comparison of the area under the curve (AUC) for each reader showed a significant improvement from 0.81 to 0.83 (p = 0.028) with the support of the e-ASPECTS tool. The agreement of reader ASPECTS scoring with the reference standard was improved with e-ASPECTS compared to unassisted reading of scans: Cohen's kappa improved from 0.60 to 0.65, and the case-based weighted Kappa improved from 0.70 to 0.81.ConclusionDecision support with the e-ASPECTS software significantly improves the accuracy of ASPECTS scoring, even by expert US neurologists and neuroradiologists
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3389/fneur.2023.1221255
Publication website:
https://escholarship.org/content/qt6x9863jf/qt6x9863jf.pdf

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Author
ORCID:
0000-0001-7446-624X
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ORCID:
0000-0002-8495-0040
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ORCID:
0000-0002-4038-5422
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ORCID:
0000-0003-1794-4502


Publisher:
Frontiers Media
Journal:
Frontiers in Neurology More from this journal
Volume:
14
Pages:
1221255-1221255
Article number:
1221255
Publication date:
2023-09-07
DOI:
EISSN:
1664-2295
ISSN:
1664-2295


Language:
English
Keywords:
Pubs id:
1540337
Local pid:
pubs:1540337
Source identifiers:
W4386496382
Deposit date:
2026-05-17
ARK identifier:
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