Coronary Flow Reserve
Without physical corrections impacts the performance of myocardial blood flow quantitation with multi-pinhole CZT-SPECT
Ma Rongzheng, Wang Meng, Zhang Zongyao, Han Kai, Zhang Hailong, Wang Lei, Hsu Bailing, Fang Wei
Published 2019-12-25
Cite as Chin J Nucl Med Mol Imaging, 2019, 39(12): 720-725. DOI: 10.3760/cma.j.issn.2095-2848.2019.12.004
Abstract
ObjectiveTo investigate the impact on myocardial blood flow (MBF) quantitation with multi-pinhole cadmium zinc telluride (CZT)-SPECT with or without partial physical corrections.
MethodsA total of 30 patients (18 males, 12 females; age: (63±9) years) with suspected or known coronary heart diseases who underwent dynamic SPECT from July 2018 to January 2019 in Fuwai Hospital were enrolled. Images were reconstructed using different corrections: no correction (NC), partial corrections ((noise reduction (NR), NR+ scatter correction (SC), NR+ SC+ resolution recovery (RR)), NR+ SC+ RR+ attenuation correction (AC; total corrections, TC). Kinetic modeling integrated one-tissue two-compartment model while using index of fitting quality (R2) and fraction blood volume (FBV) to assess the quality of modeling. Rest MBF (RMBF), stress MBF (SMBF) and myocardial flow reserve (MFR) quantified from no correction (NC) or partial corrections were compared with those of TC. Wilcoxon signed rank test and linear regression analysis were used to analyze the data.
ResultsCompared to TC, NC showed the lowest R2 (rest: 0.69, stress: 0.78; z values: 4.78 and 4.78, both P<0.01) and highest FBV (rest: 0.37, stress: 0.40;z values: -3.40 and -3.30, both P<0.01). The improvement ofR2 and FBV was consistent with increased corrective terms. Compared with TC, NC overestimated SMBF and MFR (z values: 1.27 and -3.50, both P<0.01), all partial corrections overestimated RMBF and SBMF (z values: from -4.55 to 1.27, all P<0.01). NR and NR+ SC underestimated MFR (bothP<0.05). Linear regression analysis showed that the regressive coefficients of RMBF between NC, NR, NR+ SC, NR+ SC+ RR and TC were 0.908-1.210, and Bland-Altman plots of RMBF demonstrated positive or negative biases (-0.07, 0.21, 0.26, 0.15 ml·min-1·g-1). The regression coefficients of SMBF were 1.129-1.308, and Bland-Altman plots demonstrated positive biases (0.60, 0.25, 0.28, 0.24 ml·min-1·g-1). The regression coefficients of MFR were 0.907-1.318, and Bland-Altman plots demonstrated positive or negative biases (0.70, -0.11, -0.05, 0.01).
ConclusionFull physical corrections can improve the index of fitting quality in the kinetic modeling and reduce left ventricle spillover, which help to warrant the accuracy of SPECT myocardial blood flow quantitation with multi-pinhole CZR-SPECT.
Key words:
Coronary artery disease; Myocardial perfusion imaging; Tomography, emission-computed, single-photon; Tellurium; Zinc; Cadmium; Attenuation correction
Contributor Information
Ma Rongzheng
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China
Wang Meng
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China
Zhang Zongyao
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China
Han Kai
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China
Zhang Hailong
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China
Wang Lei
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China
Hsu Bailing
Nuclear Engineering Science and Engineering Institute, University of Missouri-Columbia, Columbia 65211, Missouri, USA
Fang Wei
Department of Nuclear Medicine, Fuwai Hospital, National Center for Cardiovascular Diseases, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100037, China