Kai Yang1, Shi-Qin Yu1, Min-Jie Lu2, Shi-Hua Zhao3. 1. Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. 2. Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: coolkan@163.com. 3. Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100037, China. Electronic address: cjrzhaoshihua2009@163.com.
Abstract
AIMS: This study aimed to compare the diagnostic accuracy of stress myocardial perfusion imaging between cardiac magnetic resonance (CMR) and nuclear medical imaging, including single-photon emission computed tomography (SPECT) and positron emission tomography (PET), for the diagnosis of hemodynamically significant coronary artery disease (CAD) with fractional flow reserve (FFR) as the reference standard. METHODS AND RESULTS: We searched PubMed and Embase for all published studies that evaluated the diagnostic accuracy of stress myocardial perfusion imaging modalities, including CMR, SPECT, and PET, to diagnose hemodynamically significant CAD with FFR as the reference standard. A total of 28 articles met the inclusion criteria and were included in the meta-analysis: 14 CMR, 13 SPECT, and 5 PET articles. The results demonstrated a pooled sensitivity of 0.88 (95% confidence interval [CI]: 0.80-0.93), 0.69 (95% CI: 0.56-0.79), and 0.83 (95% CI: 0.70-0.91), and a pooled specificity of 0.89 (95% CI: 0.85-0.93), 0.85 (95% CI, 0.80-0.89), and 0.89 (95% CI, 0.86-0.91) for CMR, SPECT, and PET, respectively. The area under the curve (AUC) of CMR, PET, and SPECT was 0.94 (95% CI, 0.92-0.96), 0.92 (95% CI, 0.89-0.94), and 0.87 (95% CI, 0.83-0.89), respectively. CONCLUSIONS: CMR and PET both have high accuracy and SPECT has moderate accuracy to detect hemodynamically significant CAD with FFR as the reference standard. Furthermore, the diagnostic accuracy of CMR at 3.0 T is superior to 1.5 T.
AIMS: This study aimed to compare the diagnostic accuracy of stress myocardial perfusion imaging between cardiac magnetic resonance (CMR) and nuclear medical imaging, including single-photon emission computed tomography (SPECT) and positron emission tomography (PET), for the diagnosis of hemodynamically significant coronary artery disease (CAD) with fractional flow reserve (FFR) as the reference standard. METHODS AND RESULTS: We searched PubMed and Embase for all published studies that evaluated the diagnostic accuracy of stress myocardial perfusion imaging modalities, including CMR, SPECT, and PET, to diagnose hemodynamically significant CAD with FFR as the reference standard. A total of 28 articles met the inclusion criteria and were included in the meta-analysis: 14 CMR, 13 SPECT, and 5 PET articles. The results demonstrated a pooled sensitivity of 0.88 (95% confidence interval [CI]: 0.80-0.93), 0.69 (95% CI: 0.56-0.79), and 0.83 (95% CI: 0.70-0.91), and a pooled specificity of 0.89 (95% CI: 0.85-0.93), 0.85 (95% CI, 0.80-0.89), and 0.89 (95% CI, 0.86-0.91) for CMR, SPECT, and PET, respectively. The area under the curve (AUC) of CMR, PET, and SPECT was 0.94 (95% CI, 0.92-0.96), 0.92 (95% CI, 0.89-0.94), and 0.87 (95% CI, 0.83-0.89), respectively. CONCLUSIONS: CMR and PET both have high accuracy and SPECT has moderate accuracy to detect hemodynamically significant CAD with FFR as the reference standard. Furthermore, the diagnostic accuracy of CMR at 3.0 T is superior to 1.5 T.
Authors: Waqas Ullah; Sohaib Roomi; Hafez M Abdullah; Maryam Mukhtar; Zain Ali; Ping Ye; Donald C Haas; Vincent M Figueredo Journal: Cardiol Res Date: 2020-05-03
Authors: Karl J Weiss; Sarah B Nasser; Tamar Bigvava; Adelina Doltra; Bernhard Schnackenburg; Alexander Berger; Markus S Anker; Christian Stehning; Patrick Doeblin; Mohamed Abdelmeguid; Mohamed Talat; Rolf Gebker; Wael E-Naggar; Burkert Pieske; Sebastian Kelle Journal: ESC Heart Fail Date: 2021-12-06