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Accurate Prediction of Myocardial Perfusion Abnormality by the European Society of Cardiology Pretest Probability Estimates of Coronary Artery Disease.

Publication ,  Journal Article
Malhotra, S; Batal, O; Douglas, P; Soman, P
Published in: Circ Cardiovasc Imaging
October 2020

Duke Scholars

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Published In

Circ Cardiovasc Imaging

DOI

EISSN

1942-0080

Publication Date

October 2020

Volume

13

Issue

10

Start / End Page

e011342

Location

United States

Related Subject Headings

  • Tomography, Emission-Computed, Single-Photon
  • Risk Assessment
  • Retrospective Studies
  • Prevalence
  • Predictive Value of Tests
  • Patient Selection
  • Myocardial Perfusion Imaging
  • Male
  • Humans
  • Female
 

Citation

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ICMJE
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Malhotra, S., Batal, O., Douglas, P., & Soman, P. (2020). Accurate Prediction of Myocardial Perfusion Abnormality by the European Society of Cardiology Pretest Probability Estimates of Coronary Artery Disease. Circ Cardiovasc Imaging, 13(10), e011342. https://doi.org/10.1161/CIRCIMAGING.120.011342
Malhotra, Saurabh, Omar Batal, Pamela Douglas, and Prem Soman. “Accurate Prediction of Myocardial Perfusion Abnormality by the European Society of Cardiology Pretest Probability Estimates of Coronary Artery Disease.Circ Cardiovasc Imaging 13, no. 10 (October 2020): e011342. https://doi.org/10.1161/CIRCIMAGING.120.011342.
Malhotra, Saurabh, et al. “Accurate Prediction of Myocardial Perfusion Abnormality by the European Society of Cardiology Pretest Probability Estimates of Coronary Artery Disease.Circ Cardiovasc Imaging, vol. 13, no. 10, Oct. 2020, p. e011342. Pubmed, doi:10.1161/CIRCIMAGING.120.011342.

Published In

Circ Cardiovasc Imaging

DOI

EISSN

1942-0080

Publication Date

October 2020

Volume

13

Issue

10

Start / End Page

e011342

Location

United States

Related Subject Headings

  • Tomography, Emission-Computed, Single-Photon
  • Risk Assessment
  • Retrospective Studies
  • Prevalence
  • Predictive Value of Tests
  • Patient Selection
  • Myocardial Perfusion Imaging
  • Male
  • Humans
  • Female