Journal article
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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(Preview, Version of record, pdf, 583.1KB, Terms of use)
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- Publisher copy:
- 10.3389/fneur.2023.1221255
- Publication website:
- https://escholarship.org/content/qt6x9863jf/qt6x9863jf.pdf
Authors
- 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:
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1664-2295
- ISSN:
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1664-2295
- Language:
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English
- Keywords:
- Pubs id:
-
1540337
- Local pid:
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pubs:1540337
- Source identifiers:
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W4386496382
- Deposit date:
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2026-05-17
- ARK identifier:
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- Copyright date:
- 2023
- Licence:
- CC Attribution (CC BY)
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