Detecting Triple-Vessel Disease with Cadmium Zinc Telluride-Based Single-Photon Emission Computed Tomography Using the Intensity Signal-to-Noise Ratio between Rest and Stress Studies
Joint Authors
Ho, Kung-Chu
Su, Tzu-Pei
Chang, Chi-Jen
Su, May
Yen, Tzu-Chen
Fang, Yu-Hua Dean
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-15
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
The purpose of this study was to investigate if a novel parameter, the stress-to-rest ratio of the signal-to-noise ratio (RSNR) obtained with a cadmium zinc telluride (CZT) SPECT scanner, could be used to distinguish triple-vessel disease (TVD) patients.
Methods.
One hundred and two patients with suspected coronary artery disease were retrospectively involved.
Each subject underwent a Tl-201 SPECT scan and subsequent coronary angiography.
Subjects were separated into TVD (n=41) and control (n=61) groups based on coronary angiography results using 50% as the stenosis cutoff.
The RSNR was calculated by dividing the stress signal-to-noise ratio (SNR) by the rest SNR.
Summed scores were calculated using quantitative perfusion SPECT (QPS) for all subjects.
Results.
The RSNR in the TVD group was found to be significantly lower than that in the control group (0.83 ± 0.15 and 1.06 ± 0.17, resp.; P<0.01).
Receiver-operating characteristic (ROC) analysis showed that RSNR can detect TVD more accurately than the summed difference score with higher sensitivity (85% versus 68%), higher specificity (90% versus 72%), and higher accuracy (88% versus 71%).
Conclusion.
The RSNR may serve as a useful index to assist the diagnosis of TVD when a fully automatic quantification method is used in CZT-based SPECT studies.
American Psychological Association (APA)
Fang, Yu-Hua Dean& Su, Tzu-Pei& Chang, Chi-Jen& Ho, Kung-Chu& Su, May& Yen, Tzu-Chen. 2017. Detecting Triple-Vessel Disease with Cadmium Zinc Telluride-Based Single-Photon Emission Computed Tomography Using the Intensity Signal-to-Noise Ratio between Rest and Stress Studies. Contrast Media & Molecular Imaging،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1141763
Modern Language Association (MLA)
Fang, Yu-Hua Dean…[et al.]. Detecting Triple-Vessel Disease with Cadmium Zinc Telluride-Based Single-Photon Emission Computed Tomography Using the Intensity Signal-to-Noise Ratio between Rest and Stress Studies. Contrast Media & Molecular Imaging No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1141763
American Medical Association (AMA)
Fang, Yu-Hua Dean& Su, Tzu-Pei& Chang, Chi-Jen& Ho, Kung-Chu& Su, May& Yen, Tzu-Chen. Detecting Triple-Vessel Disease with Cadmium Zinc Telluride-Based Single-Photon Emission Computed Tomography Using the Intensity Signal-to-Noise Ratio between Rest and Stress Studies. Contrast Media & Molecular Imaging. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1141763
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1141763