A Clinical Tool to Identify Candidates for Stress-First Myocardial Perfusion Imaging | Zendy

Soroush Rouhani | Zendy; Ali Al Shahrani | Zendy; Alomgir Hossain | Zendy; Yeung Yam | Zendy; R. Glenn Wells | Zendy; Robert A. deKemp | Zendy; Rob Beanlands | Zendy; Terrence D. Ruddy | Zendy; Marcelo F. Di Carli | Zendy; Michael E. Merhige | Zendy; Brent A. Williams | Zendy; Emir Veledar | Zendy; Daniel S. Berman | Zendy; Sharmila Dorbala | Zendy; Benjamin J.W. Chow | Zendy

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A Clinical Tool to Identify Candidates for Stress-First Myocardial Perfusion Imaging

Author(s) -

Soroush Rouhani,

Ali Al Shahrani,

Alomgir Hossain,

Yeung Yam,

R. Glenn Wells,

Robert A. deKemp,

Rob Beanlands,

Terrence D. Ruddy,

Marcelo F. Di Carli,

Michael E. Merhige,

Brent A. Williams,

Emir Veledar,

Daniel S. Berman,

Sharmila Dorbala,

Benjamin J.W. Chow

Publication year - 2020

Publication title -

jacc. cardiovascular imaging

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 5.79

H-Index - 120

eISSN - 1936-878X

pISSN - 1876-7591

DOI - 10.1016/j.jcmg.2020.03.022

Subject(s) - myocardial perfusion imaging , medicine , perfusion scanning , perfusion , stress (linguistics) , cardiology , radiology , linguistics , philosophy

This study sought to develop a clinical model that identifies a lower-risk population for coronary artery disease that could benefit from stress-first myocardial perfusion imaging (MPI) protocols and that can be used at point of care to risk stratify patients.

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