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Predicting Thrombectomy Recanalization from CT Imaging Using Deep Learning Models
April 19, 2024, 4:45 a.m. | Haoyue Zhang, Jennifer S. Polson, Eric J. Yang, Kambiz Nael, William Speier, Corey W. Arnold
cs.CV updates on arXiv.org arxiv.org
Abstract: For acute ischemic stroke (AIS) patients with large vessel occlusions, clinicians must decide if the benefit of mechanical thrombectomy (MTB) outweighs the risks and potential complications following an invasive procedure. Pre-treatment computed tomography (CT) and angiography (CTA) are widely used to characterize occlusions in the brain vasculature. If a patient is deemed eligible, a modified treatment in cerebral ischemia (mTICI) score will be used to grade how well blood flow is reestablished throughout and following …
abstract arxiv benefit clinicians cs.cv cta deep learning eess.iv imaging patients risks stroke treatment type
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