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Updated: Jun 10, 2026

In Vivo Quantitative Assessment of Myocardial Structure, Function, Perfusion and Viability Using Cardiac Micro-computed Tomography
Published on: February 16, 2016
Risk stratification with pre-operative myocardial perfusion imaging
Dayoung Kim1, Valerie Builoff2, Tali Sharir3
1Department of Cardiac Sciences, University of Calgary and Libin Cardiovascular Institute, Calgary, AB, Canada.
Pre-operative myocardial perfusion imaging (MPI) identifies patients at higher risk for death or myocardial infarction (MI) before non-cardiac surgery. Resting perfusion abnormalities are key predictors of adverse cardiovascular events.
Area of Science:
- Cardiology
- Cardiovascular Imaging
- Peri-operative Medicine
Background:
- Myocardial perfusion imaging (MPI) is utilized for cardiac risk stratification in patients undergoing non-cardiac surgery.
- Existing data supporting MPI's role is limited to single-center studies and predates contemporary coronary artery disease (CAD) therapies.
- The clinical utility of pre-operative MPI in the current therapeutic landscape requires re-evaluation.
Purpose of the Study:
- To assess the association between pre-operative testing indications and cardiovascular outcomes (death or myocardial infarction [MI]).
- To identify predictors of death or MI in patients undergoing non-cardiac surgery who received pre-operative MPI.
- To evaluate the impact of pre-operative MPI referral on patient outcomes.
Main Methods:
- Analysis of the international, multicenter REFINE-SPECT registry, including 32,711 patients.
- Classification of patients into pre-operative testing indication and non-pre-operative testing groups.
- Evaluation of the association between pre-operative testing and the incidence of death or MI, with further analysis in the pre-operative testing cohort.
Main Results:
- Patients referred for pre-operative testing had a significantly higher incidence of death or MI (4.4% vs. 1.6%, p < 0.001).
- In the pre-operative testing group, stress, rest, and ischemic total perfusion deficits were associated with death or MI.
- Resting total perfusion deficit independently predicted death or MI (aHR 1.25, 95% CI 1.07-1.45), while pharmacologic stress testing did not (aHR 0.88, 95% CI 0.70-1.12).
Conclusions:
- Pre-operative SPECT MPI identifies patients at increased cardiovascular risk, potentially due to selection bias or unmeasured confounders.
- Resting perfusion abnormalities on MPI are valuable in identifying high-risk patients.
- These findings can inform peri-operative care strategies for surgical patients.
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