Optimizing Protocols for Risk Prediction in Asymptomatic Carotid Stenosis Using Embolic Signal Detection | Zendy

Alice King | Zendy; Martin Shipley | Zendy; Hugh S. Markus | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Optimizing Protocols for Risk Prediction in Asymptomatic Carotid Stenosis Using Embolic Signal Detection

Author(s) -

Alice King,

Martin Shipley,

Hugh S. Markus

Publication year - 2011

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/strokeaha.111.622514

Subject(s) - medicine , asymptomatic , stroke (engine) , stenosis , cardiology , transcranial doppler , predictive value of tests , radiology , receiver operating characteristic , predictive value , mechanical engineering , engineering

Improved methods are required to identify patients with asymptomatic carotid stenosis at high risk for stroke. The Asymptomatic Carotid Emboli Study recently showed embolic signals (ES) detected by transcranial Doppler on 2 recordings that lasted 1-hour independently predict 2-year stroke risk. ES detection is time-consuming, and whether similar predictive information could be obtained from simpler recording protocols is unknown.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research