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静息及腺苷负荷心肌灌注 CT 与静息及负荷 SPECT 的直接对比。

Direct comparison of rest and adenosine stress myocardial perfusion CT with rest and stress SPECT.

机构信息

Cardiac MR PET CT Program, Department of Radiology and Division of Cardiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

出版信息

J Nucl Cardiol. 2010 Jan-Feb;17(1):27-37. doi: 10.1007/s12350-009-9156-z.

Abstract

INTRODUCTION

We have recently described a technique for assessing myocardial perfusion using adenosine-mediated stress imaging (CTP) with dual source computed tomography. SPECT myocardial perfusion imaging (SPECT-MPI) is a widely utilized and extensively validated method for assessing myocardial perfusion. The aim of this study was to determine the level of agreement between CTP and SPECT-MPI at rest and under stress on a per-segment, per-vessel, and per-patient basis.

METHODS

Forty-seven consecutive patients underwent CTP and SPECT-MPI. Perfusion images were interpreted using the 17 segment AHA model and were scored on a 0 (normal) to 3 (abnormal) scale. Summed rest and stress scores were calculated for each vascular territory and patient by adding corresponding segmental scores.

RESULTS

On a per-segment basis (n = 799), CTP and SPECT-MPI demonstrated excellent correlation: Goodman-Kruskall gamma = .59 (P < .0001) for stress and .75 (P < .0001) for rest. On a per-vessel basis (n = 141), CTP and SPECT-MPI summed scores demonstrated good correlation: Pearson r = .56 (P < .0001) for stress and .66 (P < .0001) for rest. On a per-patient basis (n = 47), CTP and SPECT-MPI demonstrated good correlation: Pearson r = .60 (P < .0001) for stress and .76 (P < .0001) for rest.

CONCLUSIONS

CTP compares favorably with SPECT-MPI for detection, extent, and severity of myocardial perfusion defects at rest and stress.

摘要

简介

我们最近描述了一种使用腺苷介导的压力成像(CTP)用双源计算机断层扫描评估心肌灌注的技术。单光子发射计算机断层扫描心肌灌注成像(SPECT-MPI)是一种广泛使用且经过充分验证的评估心肌灌注的方法。本研究的目的是确定在静息和应激状态下,CTP 与 SPECT-MPI 在节段、血管和患者水平上的一致性程度。

方法

47 例连续患者接受 CTP 和 SPECT-MPI 检查。使用 17 节段 AHA 模型解释灌注图像,并根据 0(正常)至 3(异常)评分进行评分。通过添加相应的节段评分,计算每个血管区域和患者的静息和应激总和评分。

结果

在节段水平上(n = 799),CTP 和 SPECT-MPI 显示出极好的相关性:Goodman-Kruskall gamma =.59(P <.0001)用于应激,.75(P <.0001)用于静息。在血管水平上(n = 141),CTP 和 SPECT-MPI 总和评分显示出良好的相关性:Pearson r =.56(P <.0001)用于应激,.66(P <.0001)用于静息。在患者水平上(n = 47),CTP 和 SPECT-MPI 显示出良好的相关性:Pearson r =.60(P <.0001)用于应激,.76(P <.0001)用于静息。

结论

CTP 在静息和应激时检测、程度和严重程度方面与 SPECT-MPI 相比具有优势。

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