Abstract 007: Leveraging a portable blood flow monitor for LVO detection ‐ tailoring performance to meet demand

Early detection of large vessel occlusion (LVO) facilitates triage to appropriate stroke centers to reduce treatment times and improve patient outcomes. Here we investigated the ability of a portable optical cerebral blood flow (CBF) monitor to detect LVO and how titrating the diagnostic performance can prioritize sensitivity or specificity.

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Publication Details

Journal
Stroke Vascular and Interventional Neurology
Published
2024-11-01
DOI
https://doi.org/10.1161/svin.04.suppl_1.007
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
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article

Abstract 007: Leveraging a portable blood flow monitor for LVO detection ‐ tailoring performance to meet demand

Soren D. Konecky, Grayson L. Baird, Ryan McTaggart, Matthew Mullen et al.
Stroke Vascular and Interventional Neurology
Non-Invasive Vital Sign Monitoring
article

Abstract 007: Leveraging a portable blood flow monitor for LVO detection ‐ tailoring performance to meet demand

Soren D. Konecky, Grayson L. Baird, Ryan McTaggart, Matthew Mullen, Christopher G. Favilla
article en

Abstract

Early detection of large vessel occlusion (LVO) facilitates triage to appropriate stroke centers to reduce treatment times and improve patient outcomes. Here we investigated the ability of a portable optical cerebral blood flow (CBF) monitor to detect LVO and how titrating the diagnostic performance can prioritize sensitivity or specificity.

Stroke Vascular and Interventional NeurologyVol. 4(S1)
John Brown University (US), Brown University (US), Temple College (US), California University of Pennsylvania (US), University of Pennsylvania (US), Temple University (US)
Openalex Percentile: Top 76%
Non-Invasive Vital Sign Monitoring
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Abstract 007: Leveraging a portable blood flow monitor for LVO detection ‐ tailoring performance to meet demand — Soren D. Konecky, Grayson L. Baird, et al. · Stroke Vascular and Interventional Neurology (2024) | TGRS Research Map | TGRS