Suppr超能文献

一站式服务的梦想:心肌灌注CT的荟萃分析

The dream of a one-stop-shop: Meta-analysis on myocardial perfusion CT.

作者信息

Pelgrim Gert Jan, Dorrius Monique, Xie Xueqian, den Dekker Martijn A M, Schoepf U Joseph, Henzler Thomas, Oudkerk Matthijs, Vliegenthart Rozemarijn

机构信息

University of Groningen, University Medical Center Groningen, Department of Radiology, Groningen, The Netherlands; University of Groningen, University Medical Center Groningen, Center for Medical Imaging - North East Netherlands, Groningen, The Netherlands.

Shanghai Jiaotong University School of Medicine, Shanghai First People's Hospital, Department of Radiology, Shanghai, China.

出版信息

Eur J Radiol. 2015 Dec;84(12):2411-20. doi: 10.1016/j.ejrad.2014.12.032. Epub 2015 Jan 10.

Abstract

PURPOSE

To determine the diagnostic performance of computed tomography (CT) perfusion techniques for the detection of functionally relevant coronary artery disease (CAD) in comparison to reference standards, including invasive coronary angiography (ICA), single photon emission computed tomography (SPECT), and magnetic resonance imaging (MRI).

MATERIALS AND METHODS

PubMed, Web of Knowledge and Embase were searched from January 1, 1998 until July 1, 2014. The search yielded 9475 articles. After duplicate removal, 6041 were screened on title and abstract. The resulting 276 articles were independently analyzed in full-text by two reviewers, and included if the inclusion criteria were met. The articles reporting diagnostic parameters including true positive, true negative, false positive and false negative were subsequently evaluated for the meta-analysis. Results were pooled according to CT perfusion technique, namely snapshot techniques: single-phase rest, single-phase stress, single-phase dual-energy stress and combined coronary CT angiography [rest] and single-phase stress, as well the dynamic technique: dynamic stress CT perfusion.

RESULTS

Twenty-two articles were included in the meta-analysis (1507 subjects). Pooled per-patient sensitivity and specificity of single-phase rest CT compared to rest SPECT were 89% (95% confidence interval [CI], 82-94%) and 88% (95% CI, 78-94%), respectively. Vessel-based sensitivity and specificity of single-phase stress CT compared to ICA-based >70% stenosis were 82% (95% CI, 64-92%) and 78% (95% CI, 61-89%). Segment-based sensitivity and specificity of single-phase dual-energy stress CT in comparison to stress MRI were 75% (95% CI, 60-85%) and 95% (95% CI, 80-99%). Segment-based sensitivity and specificity of dynamic stress CT perfusion compared to stress SPECT were 77% (95% CI, 67-85) and 89% (95% CI, 78-95%). For combined coronary CT angiography and single-phase stress CT, vessel-based sensitivity and specificity in comparison to ICA-based >50% stenosis were 84% (95% CI, 67-93%) and 93% (95% CI, 89-96%).

CONCLUSION

This meta-analysis shows considerable variation in techniques and reference standards for CT of myocardial blood supply. While CT seems sensitive and specific for evaluation of hemodynamically relevant CAD, studies so far are limited in size. Standardization of myocardial perfusion CT technique is essential.

摘要

目的

与包括有创冠状动脉造影(ICA)、单光子发射计算机断层扫描(SPECT)和磁共振成像(MRI)在内的参考标准相比,确定计算机断层扫描(CT)灌注技术检测功能相关冠状动脉疾病(CAD)的诊断性能。

材料与方法

检索1998年1月1日至2014年7月1日期间的PubMed、Web of Knowledge和Embase。检索共获得9475篇文章。去除重复项后,对6041篇文章的标题和摘要进行筛选。两名审阅者对最终得到的276篇文章进行全文独立分析,符合纳入标准的文章予以纳入。随后对报告包括真阳性、真阴性、假阳性和假阴性在内的诊断参数的文章进行荟萃分析。根据CT灌注技术进行结果汇总,即快照技术:静息单相、负荷单相、负荷双能量单相以及联合冠状动脉CT血管造影[静息]和负荷单相,以及动态技术:负荷动态CT灌注。

结果

22篇文章纳入荟萃分析(1507名受试者)。与静息SPECT相比,静息单相CT的患者汇总敏感性和特异性分别为89%(95%置信区间[CI],82 - 94%)和88%(95% CI,78 - 94%)。与基于ICA的>70%狭窄相比,负荷单相CT的血管敏感性和特异性分别为82%(95% CI,64 - 92%)和78%(95% CI,61 - 89%)。与负荷MRI相比,负荷双能量单相CT的节段敏感性和特异性分别为75%(95% CI,60 - 85%)和95%(95% CI,80 - 99%)。与负荷SPECT相比,负荷动态CT灌注的节段敏感性和特异性分别为77%(95% CI,67 - 85)和89%(95% CI,78 - 95%)。对于联合冠状动脉CT血管造影和负荷单相CT,与基于ICA的>50%狭窄相比,血管敏感性和特异性分别为84%(95% CI,67 - 93%)和93%(95% CI,89 - 96%)。

结论

这项荟萃分析表明,心肌血供CT的技术和参考标准存在相当大的差异。虽然CT在评估血流动力学相关CAD方面似乎具有敏感性和特异性,但迄今为止的研究规模有限。心肌灌注CT技术的标准化至关重要。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验