Establishment and Preliminary Clinical Verification for a Software Detecting Estimated Coronary Flow Reserve
10.3969/j.issn.1000-3614.2016.08.008
- VernacularTitle:测定相对心肌血流储备软件的编制及初步临床验证
- Author:
Hongxing WEI
;
Shaofeng DUAN
;
Weixue WANG
;
Yijian YANG
;
Xinhua GUO
;
Nan JIANG
;
Qi WANG
;
Yueqin TIAN
;
Yuetao WANG
;
Xiaoli ZHANG
;
Baoci SHAN
- Publication Type:Journal Article
- Keywords:
Blood lfow,reserve fraction;
Myocardium;
Myocardial perfusion imaging;
Software conformation
- From:
Chinese Circulation Journal
2016;31(8):759-763
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To assess the feasibility of coronary lfow reserve (CFR) detection by SPECT myocardial perfusion imaging using a self developed software with preliminary clinical veriifcation. Methods: CFR calculation software was developed according to Mat lab guide. A total of 16 patients were enrolled including 13 male and 3 female at the mean age of (58±11) years . CAG conifrmed that 25 coronary branches were with stenosis>50% and 23 branches were without stenosis. 2-day ATP/rest99mTc-sestamibi dynamic SPECT myocardial perfusion imaging was conducted to detect CFR. First transit counts were used to sketch the interested pulmonary artery segments and to obtain the arterial input curve of contrast agent as total PAC reached to heart. Reconstructed short-axis images were divided into 3 sections to sketch interested territories (ROI) and to obtain RMC at each territory. Estimated CFR was expressed by the ratio of MBF=RMC/PAC followed by calculating the ratio of MFR=MBFstress/MBFrest. Results: The difference between simulated value and true value could be ignored which conifrmed that our program may accurately measure CFR. The reproducibility by different operators (r=0.986) and the same operator (r=0.983) was good. CFR value in non-stenosis branches were higher than stenosis branches (1.28 ± 0.19) vs (1.10 ± 0.27),P=0.008 and CFR value in stenosis branches was negatively related to stenosis degree (r=-0.5,P=0.02). Conclusion: Our self developed software is reliable for CFR detection by SPECT myocardial perfusion imaging; preliminary study showed good application prospect in clinical practice.