Huang Jei-Yie, Huang Chun-Kai, Yen Ruoh-Fang, Wu Hon-Yen, Tu Yu-Kang, Cheng Mei-Fang, Lu Ching-Chu, Tzen Kai-Yuan, Chien Kuo-Liong, Wu Yen-Wen
Department of Nuclear Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan.
Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.
J Nucl Med. 2016 Dec;57(12):1893-1898. doi: 10.2967/jnumed.115.171462. Epub 2016 Jul 21.
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.
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.
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.
The results from this study suggested that AC should be applied to MPI to improve the diagnosis of CAD, especially the specificity.
单光子发射计算机断层扫描(SPECT)心肌灌注成像(MPI)是诊断冠状动脉疾病(CAD)的成熟工具。然而,软组织衰减是一种常见伪影,会限制MPI的诊断准确性。本研究旨在以冠状动脉造影作为参考标准,确定衰减校正(AC)是否能提高MPI的诊断性能。
检索MEDLINE和EMBASE至2015年3月,查找评估AC MPI诊断CAD的研究。使用诊断准确性研究质量评估工具评估方法学质量。对于每项研究,计算敏感性、特异性和诊断比值比以及95%置信区间(CI),以确定AC与未进行衰减校正(NAC)的MPI的诊断准确性。应用双变量混合效应模型汇总数据。
在201篇文章中,确定了17项研究(1701例患者),包括5项使用CT AC的研究、12项使用放射性核素源AC(RAC)的研究以及15项报告NAC结果的研究。各研究汇总的敏感性分别为:CT AC为0.80(95%CI,0.64 - 0.91)、RAC为0.85(95%CI,0.81 - 0.88)、所有AC为0.84(95%CI,0.79 - 0.88)、NAC为0.80(95%CI,0.75 - 0.85)。汇总的特异性分别为:0.83(95%CI,0.71 - 0.91)、0.81(95%CI,0.73 - 0.86)、0.80(95%CI,0.74 - 0.85)、0.68(95%CI,0.61 - 0.74)。敏感性和特异性的汇总诊断比值比分别为:20(95%CI,12 - 34)、24(95%CI,13 - 43)、22(95%CI,13 - 35)、9(7 - 11)。将AC(包括CT AC、RAC和所有AC)与NAC进行比较时,特异性和诊断比值比存在显著差异。
本研究结果表明,应将AC应用于MPI以改善CAD的诊断,尤其是特异性。