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消融后心房瘢痕的晚期钆增强心血管磁共振成像优化:一项交叉研究。

Optimization of late gadolinium enhancement cardiovascular magnetic resonance imaging of post-ablation atrial scar: a cross-over study.

机构信息

School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, Westminster Bridge Road, London, SE1 7EH, UK.

Department of Cardiology, St Thomas' Hospital, London, UK.

出版信息

J Cardiovasc Magn Reson. 2018 May 3;20(1):30. doi: 10.1186/s12968-018-0449-8.

Abstract

BACKGROUND

Cardiovascular magnetic resonance (CMR) imaging may be used to visualize post-ablation atrial scar (PAAS), and three-dimensional late gadolinium enhancement (3D LGE) is the most widely employed technique for imaging of chronic scar. Detection of PAAS provides a unique non-invasive insight into the effects of the ablation and may help guide further ablation procedures. However, there is evidence that PAAS is often not detected by CMR, implying a significant sensitivity problem, and imaging parameters vary between leading centres. Therefore, there is a need to establish the optimal imaging parameters to detect PAAS.

METHODS

Forty subjects undergoing their first pulmonary vein isolation procedure for AF had detailed CMR assessment of atrial scar: one scan pre-ablation, and two scans post-ablation at 3 months (separated by 48 h). Each scan session included ECG- and respiratory-navigated 3D LGE acquisition at 10, 20 and 30 min post injection of a gadolinium-based contrast agent (GBCA). The first post-procedural scan was performed on a 1.5 T scanner with standard acquisition parameters, including double dose (0.2 mmol/kg) Gadovist and 4 mm slice thickness. Ten patients subsequently underwent identical scan as controls, and the other 30 underwent imaging with a reduced, single, dose GBCA (n = 10), half slice thickness (n = 10) or on a 3 T scanner (n = 10). Apparent signal-to-noise (aSNR), contrast-to-noise (aCNR) and imaging quality (Likert Scale, 3 independent observers) were assessed. PAAS location and area (%PAAS scar) were assessed following manual segmentation. Atrial shells with standardised %PAAS at each timepoint were then compared to ablation lesion locations to assess quality of scar delineation.

RESULTS

A total of 271 3D acquisitions (out of maximum 280, 96.7%) were acquired. Likert scale of imaging quality had high interobserver and intraobserver intraclass correlation coefficients (0.89 and 0.96 respectively), and showed lower overall imaging quality on 3 T and at half-slice thickness. aCNR, and quality of scar delineation increased significantly with time. aCNR was higher with reduced, single, dose of GBCA (p = 0.005).

CONCLUSION

3D LGE CMR atrial scar imaging, as assessed qualitatively and quantitatively, improves with time from GBCA administration, with some indices continuing to improve from 20 to 30 min. Imaging should be performed at least 20 min post-GBCA injection, and a single dose of contrast should be considered.

TRIAL REGISTRATION

Trial registry- United Kingdom National Research Ethics Service 08/H0802/68 - 30th September 2008.

摘要

背景

心血管磁共振(CMR)成像可用于观察消融后的心房瘢痕(PAAS),而三维晚期钆增强(3D LGE)是最广泛应用于慢性瘢痕成像的技术。PAAS 的检测为消融的效果提供了独特的无创性见解,并可能有助于指导进一步的消融程序。然而,有证据表明,CMR 通常无法检测到 PAAS,这意味着存在明显的敏感性问题,并且成像参数在领先中心之间存在差异。因此,有必要确定检测 PAAS 的最佳成像参数。

方法

40 名接受首次肺静脉隔离术治疗房颤的患者接受了详细的心房瘢痕 CMR 评估:一次消融前扫描,两次消融后扫描(在 3 个月时进行,间隔 48 小时)。每次扫描均包括心电图和呼吸导航 3D LGE 采集,在注射基于钆的造影剂(GBCA)后 10、20 和 30 分钟进行。第一次术后扫描在 1.5T 扫描仪上进行,采用标准采集参数,包括双倍剂量(0.2mmol/kg)Gadovist 和 4mm 层厚。随后,10 名患者作为对照进行了相同的扫描,另外 30 名患者分别接受了减少剂量(n=10)、单剂量(n=10)、半层厚(n=10)或 3T 扫描仪(n=10)的成像。评估了表观信号噪声比(aSNR)、对比噪声比(aCNR)和成像质量(3 位独立观察者的李克特量表)。手动分割后评估 PAAS 位置和面积(%PAAS 瘢痕)。然后,比较各时间点具有标准化%PAAS 的心房壳与消融病变位置,以评估瘢痕描绘质量。

结果

共采集了 271 次 3D 采集(最大采集次数为 280 次,占 96.7%)。成像质量的李克特量表具有较高的观察者间和观察者内组内相关系数(分别为 0.89 和 0.96),并且在 3T 和半层厚时整体成像质量较低。aCNR 和瘢痕描绘质量随时间显著增加。减少、单剂量 GBCA 后 aCNR 较高(p=0.005)。

结论

3D LGE CMR 心房瘢痕成像在定性和定量上均随 GBCA 给药时间的延长而改善,一些指标在 20 至 30 分钟之间继续改善。GBCA 注射后至少应进行 20 分钟的成像,并且应考虑使用单剂量造影剂。

试验注册

英国国家伦理服务局 08/H0802/68-2008 年 9 月 30 日。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1828/5932811/bba9194cefa4/12968_2018_449_Fig1_HTML.jpg

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