Background: The aim of this study was to evaluate the accuracy of low-dose dobutamine echocardiography (DE) and resting thallium 201 single photon emission computed tomography (SPECT) alone and in combination for prediction of functional recovery at late follow-up (1 year) after revascularization.
Methods And Results: Twenty-six patients with coronary artery disease and ventricular dysfunction (ejection fraction, 42% +/- 9%) underwent DE and Tl-201 SPECT 14 +/- 9 (mean +/- SD) days before revascularization and repeated echocardiography 12 +/- 5 months thereafter. Discriminant analysis was applied to combine Tl-201 SPECT and DE data to classify dysfunctional segments as viable or nonviable. In 78 akinetic/dyskinetic revascularized segments, Tl-201 SPECT provided a sensitivity of 83% and a specificity of 55%, whereas DE showed a sensitivity of 60% and a specificity of 91%, for prediction of improvement in regional function at follow-up. The combination of data through use of discriminant analysis provided a sensitivity of 80% and a specificity of 86%, with an overall accuracy of 82%, significantly higher than DE (71%; P <.05) and Tl-201 SPECT (73%; P <.05) alone. Moreover, discriminant analysis identified 12 (75%) of 16 patients with and 8 (80%) of 10 patients without significant improvement in ejection fraction at follow-up, with an accuracy of 77%.
Conclusions: The combination of Tl-201 SPECT and DE data provides higher accuracy than either technique alone for prediction of recovery of regional and global function after revascularization.
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http://dx.doi.org/10.1067/mnc.2002.120162 | DOI Listing |
J Med Phys
September 2024
Department of Physics, Faculty of Science, University of Mohaghegh Ardabili, Ardabil, Iran.
Purpose: This study aims to evaluate the performance of dual-energy window (DEW) and triple-energy window (TEW) scatter correction methods in cardiac SPECT imaging with technetium-99m (Tc-99m) and thallium-201 (Tl-201) radioisotopes.
Materials And Methods: The SIMIND Monte Carlo program was used to simulate the imaging system and produce the required projections. Two phantoms, including the simple cardiac phantom and the NCAT phantom, were used to evaluate the scatter correction methods.
Clin Nucl Med
May 2024
Department of Nuclear Medicine and Molecular Imaging, Ajou University School of Medicine, Suwon, South Korea.
Purpose: We aimed to develop deep learning (DL)-based attenuation correction models for Tl-201 myocardial perfusion SPECT (MPS) images and evaluate their clinical feasibility.
Patients And Methods: We conducted a retrospective study of patients with suspected or known coronary artery disease. We proposed a DL-based image-to-image translation technique to transform non-attenuation-corrected images into CT-based attenuation-corrected (CT AC ) images.
Thorac Cancer
September 2023
Department of Biomedical Imaging and Radiological Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
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