Reliability of left ventricular ejection fraction calculated with gated myocardial perfusion single photon emission computed tomography in patients with extensive perfusion defect

2011 ◽  
Vol 32 (6) ◽  
pp. 503-507 ◽  
Author(s):  
Chidambaram Natrajan Balasubramanian Harisankar ◽  
Bhagwant Rai Mittal ◽  
Koramadai Karuppuswamy Kamaleshwaran ◽  
Madan Parmar ◽  
Anish Bhattacharya ◽  
...  
Keyword(s):  
Single Photon ◽  
Photon Emission ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Emission Computed Tomography ◽  
Single Photon Emission ◽  
Ventricular Ejection Fraction ◽  
Myocardial Perfusion Single Photon ◽  
Single Photon Emission Computed ◽  
Photon Emission Computed Tomography

scholarly journals Prognostic Value of Phase Analysis for Predicting Adverse Cardiac Events Beyond Conventional Single-Photon Emission Computed Tomography Variables: Results From the REFINE SPECT Registry

2021 ◽  
Author(s):  
Keiichiro Kuronuma ◽  
Robert J.H. Miller ◽  
Yuka Otaki ◽  
Serge D. Van Kriekinge ◽  
Marcio A. Diniz ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Single Photon ◽  
Photon Emission ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Emission Computed Tomography ◽  
Single Photon Emission ◽  
Ventricular Ejection Fraction ◽  
Single Photon Emission Computed ◽  
Photon Emission Computed Tomography

Background: Phase analysis of single-photon emission computed tomography myocardial perfusion imaging provides dyssynchrony information which correlates well with assessments by echocardiography, but the independent prognostic significance is not well defined. This study assessed the independent prognostic value of single-photon emission computed tomography-myocardial perfusion imaging phase analysis in the largest multinational registry to date across all modalities. Methods: From the REFINE SPECT (Registry of Fast Myocardial Perfusion Imaging With Next Generation SPECT), a total of 19 210 patients were included (mean age 63.8±12.0 years and 56% males). Poststress total perfusion deficit, left ventricular ejection fraction, and phase variables (phase entropy, bandwidth, and SD) were obtained automatically. Cox proportional hazards analyses were performed to assess associations with major adverse cardiac events (MACE). Results: During a follow-up of 4.5±1.7 years, 2673 (13.9%) patients experienced MACE. Annualized MACE rates increased with phase variables and were ≈4-fold higher between the second and highest decile group for entropy (1.7% versus 6.7%). Optimal phase variable cutoff values stratified MACE risk in patients with normal and abnormal total perfusion deficit and left ventricular ejection fraction. Only entropy was independently associated with MACE. The addition of phase entropy significantly improved the discriminatory power for MACE prediction when added to the model with total perfusion deficit and left ventricular ejection fraction ( P <0.0001). Conclusions: In a largest to date imaging study, widely representative, international cohort, phase variables were independently associated with MACE and improved risk stratification for MACE beyond the prediction by perfusion and left ventricular ejection fraction assessment alone. Phase analysis can be obtained fully automatically, without additional radiation exposure or cost to improve MACE risk prediction and, therefore, should be routinely reported for single-photon emission computed tomography-myocardial perfusion imaging studies.

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