Dataset Information

Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables.

ABSTRACT:

Purpose

Phase analysis can assess left ventricular dyssynchrony. The independent prognostic value of phase variables over positron emission tomography myocardial perfusion imaging (PET-MPI) variables including myocardial flow reserve (MFR) has not been studied. The aim of this study was to explore the prognostic value of phase variables for predicting mortality over standard PET-MPI variables.

Methods

Consecutive patients who underwent pharmacological stress-rest ⁸²Rb PET study were enrolled. All PET-MPI variables including phase variables (phase entropy, phase bandwidth, and phase standard deviation) were automatically obtained by QPET software (Cedars-Sinai, Los Angeles, CA). Cox proportional hazard analyses were used to assess associations with all-cause mortality (ACM).

Results

In a total of 3963 patients (median age 71 years; 57% male), 923 patients (23%) died during a median follow-up of 5 years. Annualized mortality rates increased with stress phase entropy, with a 4.6-fold difference between the lowest and highest decile groups of entropy (2.6 vs. 12.0%/year). Abnormal stress phase entropy (optimal cutoff value, 43.8%) stratified ACM risk in patients with normal and impaired MFR (both p < 0.001). Among three phase variables, only stress phase entropy was significantly associated with ACM after the adjustment of standard clinical and PET-MPI variables including MFR and stress-rest change of phase variables, whether modeled as binary variables (adjusted hazard ratio, 1.44 for abnormal entropy [> 43.8%]; 95%CI, 1.18-1.75; p < 0.001) or continuous variables (adjusted hazard ratio, 1.05 per 5% increase; 95%CI, 1.01-1.10; p = 0.030). The addition of stress phase entropy to the standard PET-MPI variables significantly improved the discriminatory power for ACM prediction (p < 0.001), but the other phase variables did not (p > 0.1).

Conclusion

Stress phase entropy is independently and incrementally associated with ACM beyond standard PET-MPI variables including MFR. Phase entropy can be obtained automatically and included in clinical reporting of PET-MPI studies to improve patient risk prediction.

SUBMITTER: Kuronuma K

PROVIDER: S-EPMC10547643 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature

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Publications

Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables.

Kuronuma Keiichiro K Miller Robert J H RJH Van Kriekinge Serge D SD Han Donghee D Singh Ananya A Gransar Heidi H Dey Damini D Berman Daniel S DS Slomka Piotr J PJ

European journal of nuclear medicine and molecular imaging 20230710 12

<h4>Purpose</h4>Phase analysis can assess left ventricular dyssynchrony. The independent prognostic value of phase variables over positron emission tomography myocardial perfusion imaging (PET-MPI) variables including myocardial flow reserve (MFR) has not been studied. The aim of this study was to explore the prognostic value of phase variables for predicting mortality over standard PET-MPI variables.<h4>Methods</h4>Consecutive patients who underwent pharmacological stress-rest <sup>82</sup>Rb P ...[more]

PMID: 37428217

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Dataset Information

Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables.

Purpose

Methods

Results

Conclusion

Publications

Incremental prognostic value of stress phase entropy over standard PET myocardial perfusion imaging variables.

Similar Datasets

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