PT  - JOURNAL ARTICLE
AU  - Jei-Yie Huang
AU  - Chun-Kai Huang
AU  - Ruoh-Fang Yen
AU  - Hon-Yen Wu
AU  - Yu-Kang Tu
AU  - Mei-Fang Cheng
AU  - Ching-Chu Lu
AU  - Kai-Yuan Tzen
AU  - Kuo-Liong Chien
AU  - Yen-Wen Wu
TI  - Diagnostic Performance of Attenuation-Corrected Myocardial Perfusion Imaging for Coronary Artery Disease: A Systematic Review and Meta-Analysis
AID  - 10.2967/jnumed.115.171462
DP  - 2016 Dec 01
TA  - Journal of Nuclear Medicine
PG  - 1893--1898
VI  - 57
IP  - 12
4099  - http://jnm.snmjournals.org/content/57/12/1893.short
4100  - http://jnm.snmjournals.org/content/57/12/1893.full
SO  - J Nucl Med2016 Dec 01; 57
AB  - Myocardial perfusion imaging (MPI) with SPECT is a well-established tool for the diagnosis of coronary artery disease (CAD). However, soft-tissue attenuation is a common artifact that limits the diagnostic accuracy of MPI. The aim of this study was to determine whether attenuation correction (AC) improved the diagnostic performance of MPI, using coronary angiography as a reference standard. Methods: MEDLINE and EMBASE were searched until March 2015 for studies evaluating AC MPI for the diagnosis of CAD. Methodologic quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies tool. For each study, the sensitivity, specificity, and diagnostic odds ratio, along with 95% confidence intervals (CIs), were calculated to determine the diagnostic accuracy of AC versus non–attenuation-corrected (NAC) MPI. A bivariate mixed-effects model was applied for pooling the data. Results: Of 201 articles, 17 studies (1,701 patients) were identified, including 5 studies that used CT AC, 12 studies that used radionuclide source AC (RAC), and 15 studies that reported NAC results. The pooled sensitivities across studies were 0.80 (95% CI, 0.64–0.91), 0.85 (95% CI, 0.81–0.88), 0.84 (95% CI, 0.79–0.88), and 0.80 (95% CI, 0.75–0.85) for CT AC, RAC, all AC, and NAC, respectively. The pooled specificities were 0.83 (95% CI, 0.71–0.91), 0.81 (95% CI, 0.73–0.86), 0.80 (95% CI, 0.74–0.85), and 0.68 (95% CI, 0.61–0.74). Both sensitivities and specificities resulted in a pooled diagnostic odds ratio of 20 (95% CI, 12–34), 24 (95% CI, 13–43), 22 (95% CI, 13–35), and 9 (7–11). Significant differences in specificity and diagnostic odds ratios were noted when AC (including CT AC, RAC, and all AC) was compared with NAC. Conclusion: The results from this study suggested that AC should be applied to MPI to improve the diagnosis of CAD, especially the specificity.