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Myocardial perfusion imaging evaluation of left ventricular volume and ejection fraction using a novel semi-conductor SPECT: comparison to conventional SPECT and cardiac MRI / 中华核医学与分子影像杂志
Chinese Journal of Nuclear Medicine and Molecular Imaging ; (6): 269-273, 2017.
Article in Chinese | WPRIM | ID: wpr-614408
ABSTRACT
Objective To prospectively compare cadmium-zinc-telluride (CZT) SPECT gated myocardial perfusion imaging (GMPI),conventional SPECT MPI and cardiac MRI for the assessment of left ventricular volume and ejection fraction in patients with heart failure.Methods From July 2016 to October 2016,a total of 35 patients (27 males,8 females,average age(52.7±14.9) years) with heart failure were consecutively included.All patients underwent CZT SPECT GMPI,conventional SPECT GMPI and cardiac MRI within 7 d.LVEDV,LVESV and LVEF of three imaging modalities were calculated.One-way analysis of variance,Pearson correlation analysis and Bland-Altman analysis were used.Results CZT SPECT showed excellent correlation with conventional SPECT for LVEDV,LVESV and LVEF (r values0.983,0.986 and 0.910,respectively;all P<0.001).Bland-Altman analysis revealed good agreement between CZT SPECT and conventional SPECT for LVEDV,LVESV and LVEF.The correlation between CZT SPECT and cardiac MRI for LVEDV,LVESV and LVEF were all significant (r values0.864,0.896 and 0.836,respectively;all P<0.001).Compared with cardiac MRI,CZT SPECT showed systemic underestimation of LVEDV and LVESV and good agreement of LVEF by Bland-Altman analysis.Conclusions CZT SPECT has high clinical value for patients with heart failure.Despite underestimating LVEDV and LVESV,it correlated well with cardiac MRI.It also has a good agreement with conventional SPECT on left ventricular volume and LVEF.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Nuclear Medicine and Molecular Imaging Year: 2017 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Nuclear Medicine and Molecular Imaging Year: 2017 Type: Article