Abstract 014: Association of Core Volume on Non‐Contrast CT using Deep‐learning algorithm and Clinical Outcomes in Acute Ischemic Stroke: A Potential Tool for Selection in expanded window and Prognosis?
In reperfusion treatment, advanced neuroimaging can be used for treatment selection or forecasting outcomes, however immediate access is not widely available. This study aims to explore the impact of assessing initial core volume (ICV) on NCCT by a machine learning‐based algorithm on outcomes.
Authors
- Víctor Esteban Reyes-Cruz (ORCID: https://orcid.org/0000-0003-2984-850X)
- Pere Canals (ORCID: https://orcid.org/0000-0003-0192-3272)
- Xavier Ustrell (ORCID: https://orcid.org/0000-0003-3906-8574)
- Alan Flores (ORCID: https://orcid.org/0000-0003-1867-5391)
- Laia Seró (ORCID: https://orcid.org/0000-0002-6878-1072)
- Susana Ortega Cisneros (ORCID: https://orcid.org/0000-0001-6646-1529)
- Marc Ribó (ORCID: https://orcid.org/0000-0001-9242-043X)
- Milagros Galecio
- Y. Avivar
Institutions
- University of Iowa Hospitals and Clinics (US)
- Hospital Universitari Joan XXIII de Tarragona (ES)
Publication Details
- Journal
- Stroke Vascular and Interventional Neurology
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1161/svin.04.suppl_1.014
- Primary Topic
- Cerebrovascular and Carotid Artery Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00