Combined analysis of multislice computed tomography coronary angiography and stress-rest myocardial perfusion imaging in detecting patients with significant proximal coronary artery stenosis
| Autor: | Masato Baden, Tetsuro Sugiura, Kengo Hatada, Yoshiaki Tsuka, Toshiji Iwasaka, Seishi Nakamura, Yusuke Fujikawa, Shigeo Umemura, Keisuke Fujitaka |
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| Rok vydání: | 2009 |
| Předmět: |
Coronary angiography
Adult Male medicine.medical_specialty Myocardial ischemia Perfusion Imaging Rest Computed tomography Coronary stenosis Coronary Angiography Sensitivity and Specificity Myocardial perfusion imaging Internal medicine Medicine Humans Radiology Nuclear Medicine and imaging Rest (music) Aged Aged 80 and over medicine.diagnostic_test business.industry Coronary Stenosis Reproducibility of Results General Medicine Multislice computed tomography Middle Aged Predictive value Subtraction Technique Cardiology Exercise Test Female business Tomography X-Ray Computed |
| Zdroj: | Nuclear medicine communications. 30(10) |
| ISSN: | 1473-5628 |
| Popis: | Multislice computed tomography (MSCT) coronary angiography (CAG) is limited in detecting significant coronary artery stenosis because of its low specificity and positive predictive value. Stress-rest myocardial perfusion imaging (MPI) can detect myocardial ischemia. The aim of this study was to evaluate the diagnostic accuracy of detecting patients with proximal coronary artery disease for coronary intervention by combined analysis of MSCT-CAG and MPI.MSCT-CAG, MPI, and CAG were performed in 125 patients with chest pain suggestive of coronary artery disease. A significant proximal coronary artery stenosis was defined asor = 75% stenosis by MSCT and CAG. Myocardial ischemia was defined as reversible defect by MPI. Patients were defined as having coronary artery disease with a significant coronary stenosis by CAG.Seventy-four patients had a significant proximal coronary artery stenosis by MSCT. Of the 74 patients with a coronary artery stenosis by MSCT, 50 (67.6%) patients had a significant proximal coronary artery stenosis by CAG. In contrast, 50 (98.0%) of 51 patients without coronary artery stenosis by MSCT did not have coronary artery disease. In detecting patients with proximal coronary artery disease, combined analysis of MSCT and MPI showed a considerable improvement in specificity (94.6 vs. 67.6%, P = 0.0001) and positive predictive value (92.3 vs. 67.6%, P = 0.01) without significant changes in sensitivity (94.1 vs. 98.0%) and negative predictive value (95.9 vs. 98.0%) compared with MSCT alone.Combined analysis of MSCT-CAG and MPI can accurately detect patients with proximal coronary artery disease. |
| Databáze: | OpenAIRE |
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