Publication

Phase analysis of gated PET in the evaluation of mechanical ventricular synchrony: A narrative overview

Juarez-Orozco, L. E., Monroy-Gonzalez, A., Prakken, N. H. J., Noordzij, W., Knuuti, J., deKemp, R. A. & Slart, R. H. J. A., Dec-2019, In : Journal of Nuclear Cardiology. 26, 6, p. 1904-1913 10 p.

Research output: Contribution to journalReview articleAcademicpeer-review

Noninvasive imaging modalities offer the possibility to dynamically evaluate cardiac motion during the cardiac cycle by means of ECG-gated acquisitions. Such motion characterization along with orientation, segmentation preprocessing, and ultimately, phase analysis, can provide quantitative estimates of ventricular mechanical synchrony. Current evidence on the role of mechanical synchrony evaluation is mainly available for echocardiography and gated single-photon emission computed tomography, but less is known about the utilization of gated positron emission tomography (PET). Although data available are sparse, there is indication that mechanical synchrony evaluation can be of diagnostic and prognostic values in patients with known or suspected coronary artery disease-related myocardial ischemia, prediction of response to cardiac resynchronization therapy, and estimation of risk for adverse cardiac events in patients' heart failure. As such, the evaluation of mechanical ventricular synchrony through phase analysis of gated acquisitions represents a value addition to modern cardiac PET imaging modality, which warrants further research and development in the evaluation of patients with cardiovascular disease.

Original languageEnglish
Pages (from-to)1904-1913
Number of pages10
JournalJournal of Nuclear Cardiology
Volume26
Issue number6
Early online date4-Mar-2019
Publication statusPublished - Dec-2019

    Keywords

  • Ventricular synchrony, phase analysis, gated PET, POSITRON-EMISSION-TOMOGRAPHY, EJECTION FRACTION, WALL-MOTION, LV DYSSYNCHRONY, FDG PET, SPECT, STRESS, MRI, QUANTIFICATION, THERAPY

Download statistics

No data available

ID: 77147121