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Published on: August 1, 2019
Impact of e-ASPECTS software on the performance of physicians compared to a consensus ground truth: a multi-reader,
Hassan Kobeissi1, David F Kallmes1, John Benson1
1Department of Radiology, Mayo Clinic, Rochester, MN, United States.
Artificial intelligence software for Alberta Stroke Program Early CT Score (ASPECTS) improves physician accuracy in assessing acute ischemic stroke (AIS) brain imaging. The e-ASPECTS tool enhanced performance for neurologists and neuroradiologists, leading to better stroke assessment.
Area of Science:
- Neuroimaging
- Artificial Intelligence in Medicine
- Stroke Imaging Analysis
Background:
- The Alberta Stroke Program Early CT Score (ASPECTS) is crucial for quantifying brain injury in acute ischemic stroke (AIS) and guiding treatment.
- e-ASPECTS software utilizes AI to automatically generate ASPECTS scores from non-contrast CT (NCCT) scans in AIS patients with middle cerebral artery (MCA) territory involvement.
- This study evaluated the impact of e-ASPECTS on the performance of US physicians compared to a consensus ground truth.
Purpose of the Study:
- To assess the effectiveness of the e-ASPECTS software in improving the accuracy of ASPECTS scoring by US physicians.
- To compare physician performance with and without the assistance of the e-ASPECTS AI tool.
Main Methods:
- A multi-reader, multi-case study design was employed.
- Ten US board-certified neurologists and neuroradiologists scored 54 NCCT brain scans twice: once with and once without e-ASPECTS assistance, in random order.
- Agreement with an expert consensus reference standard was evaluated using various statistical measures, including Cohen's kappa and weighted kappa.
Main Results:
- The area under the curve (AUC) for reader performance significantly improved from 0.81 to 0.83 (p=0.028) with e-ASPECTS support.
- Agreement with the reference standard improved, with Cohen's kappa increasing from 0.60 to 0.65 and case-based weighted Kappa improving from 0.70 to 0.81.
- These improvements indicate enhanced accuracy in ASPECTS scoring when using the e-ASPECTS software.
Conclusions:
- The e-ASPECTS software significantly enhances the accuracy of ASPECTS scoring for acute ischemic stroke.
- AI-powered decision support tools like e-ASPECTS can improve the performance of even expert neurologists and neuroradiologists in interpreting brain CT scans.
- The findings support the utility of e-ASPECTS in clinical practice for more precise stroke assessment.
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