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

Yu Hua Dean Fang, Tzu Pei Su, Chi Jen Chang, Kung Chu Ho, May Su, Tzu Chen Yen

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Article number4945680
JournalContrast Media and Molecular Imaging
Volume2017
DOIs
Publication statusPublished - 2017 Jan 1

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Signal-To-Noise Ratio
Single-Photon Emission-Computed Tomography
Coronary Angiography
CdZnTe
ROC Curve
Coronary Artery Disease
Pathologic Constriction
Perfusion
Control Groups

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

Cite this

@article{8fef17e0eff24572bf72ee64da98f295,
title = "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",
abstract = "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.",
author = "Fang, {Yu Hua Dean} and Su, {Tzu Pei} and Chang, {Chi Jen} and Ho, {Kung Chu} and May Su and Yen, {Tzu Chen}",
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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. / Fang, Yu Hua Dean; Su, Tzu Pei; Chang, Chi Jen; Ho, Kung Chu; Su, May; Yen, Tzu Chen.

In: Contrast Media and Molecular Imaging, Vol. 2017, 4945680, 01.01.2017.

Research output: Contribution to journalArticle

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T1 - 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

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AU - Ho, Kung Chu

AU - Su, May

AU - Yen, Tzu Chen

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AB - 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.

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