Evaluation of variability of phase indices of the left ventricle in the course of time
Autor: | Ozdes Emer, Erol Gürsoy, Semra Ince, Alper Ozgur Karacalioglu |
---|---|
Rok vydání: | 2014 |
Předmět: |
Adult
Male medicine.medical_specialty Periodicity Heart Ventricles Rest Phase (waves) Cardiac-Gated Imaging Techniques Standard deviation Time Myocardial perfusion imaging Stress Physiological Internal medicine Histogram medicine Humans Radiology Nuclear Medicine and imaging Retrospective Studies Tomography Emission-Computed Single-Photon medicine.diagnostic_test business.industry Myocardial Perfusion Imaging General Medicine Middle Aged medicine.anatomical_structure Ventricle Kurtosis Cardiology Female Nuclear medicine business Phase analysis Emission computed tomography |
Zdroj: | Annals of nuclear medicine. 28(9) |
ISSN: | 1864-6433 |
Popis: | Since the effect of time on phase indices is still unclear, the aim of the study was to evaluate the variability of phase indices of the left ventricle which were derived from stress and rest single-photon emission computed tomography (SPECT) imaging acquired at early and late times. One hundred twenty-one patients (72 men, 49 women) were included into the study. All stress and rest gated myocardial perfusion imaging (gMPI) acquisitions were acquired at two different time points as early in 15 ± 5 min and late in 45 ± 5 min. The peak of the phase histogram (PP), the standard deviation of the phase distribution (SDPH), the width of the band (BPH), and the symmetry (histogram skewness, HS) and peakedness of the phase histogram (histogram kurtosis, HK) which are the parameters for assessing left ventricular systolic dyssynchrony were calculated in all stress and rest SPECT images acquired twice. The phase indices derived from the late rest scans were smaller than those of the early rest scans but, the differences were not significant. When considering the comparisons of phase indices derived from two different time points after stress, PP showed a tendency to decrease (from 160.8 ± 18.3 to 152.5 ± 17.3; p |
Databáze: | OpenAIRE |
Externí odkaz: |