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feasbility fast cardiovascular magnetic resonance strain imaging patients presenting acute chest pain.

Feasibility of fast cardiovascular magnetic resonance strain imaging in patients presenting with acute chest pain.

机构信息

Department of Cardiology, Angiology and Pneumology, University of Heidelberg, Heidelberg, Germany.

DZHK (German Centre for Cardiovascular Research), Partner Site Heidelberg, Berlin, Germany.

出版信息

PLoS One. 2021 May 3;16(5):e0251040. doi: 10.1371/journal.pone.0251040. eCollection 2021.

DOI:10.1371/journal.pone.0251040
PMID:33939756
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8092784/
Abstract

BACKGROUND

Cardiovascular magnetic resonance (CMR) is the current reference standard for the quantitative assessment of ventricular function. Fast Strain-ENCoded (fSENC)-CMR imaging allows for the assessment of myocardial deformation within a single heartbeat. The aim of this pilot study was to identify obstructive coronary artery disease (oCAD) with fSENC-CMR in patients presenting with new onset of chest pain.

METHODS AND RESULTS

In 108 patients presenting with acute chest pain, we performed fSENC-CMR after initial clinical assessment in the emergency department. The final clinical diagnosis, for which cardiology-trained physicians used clinical information, serial high-sensitive Troponin T (hscTnT) values and-if necessary-further diagnostic tests, served as the standard of truth. oCAD was defined as flow-limiting CAD as confirmed by coronary angiography with typical angina or hscTnT dynamics. Diagnoses were divided into three groups: 0: non-cardiac, 1: oCAD, 2: cardiac, non-oCAD. The visual analysis of fSENC bull´s eye maps (blinded to final diagnosis) resulted in a sensitivity of 82% and specificity of 87%, as well as a negative predictive value of 96% for identification of oCAD. Both, global circumferential strain (GCS) and global longitudinal strain (GLS) accurately identified oCAD (area under the curve/AUC: GCS 0.867; GLS 0.874; p<0.0001 for both), outperforming ECG, hscTnT dynamics and EF. Furthermore, the fSENC analysis on a segmental basis revealed that the number of segments with impaired strain was significantly associated with the patient´s final diagnosis (p<0.05 for all comparisons).

CONCLUSION

In patients with acute chest pain, myocardial strain imaging with fSENC-CMR may serve as a fast and accurate diagnostic tool for ruling out obstructive coronary artery disease.

摘要

背景

心血管磁共振(CMR)是目前评估心室功能的参考标准。快速应变编码(fSENC)-CMR 成像可在单次心跳内评估心肌变形。本研究旨在通过 fSENC-CMR 识别新发胸痛患者中的阻塞性冠状动脉疾病(oCAD)。

方法和结果

在 108 例新发胸痛的患者中,我们在急诊科进行了 fSENC-CMR 检查。经心内科医生采用临床信息、连续高敏肌钙蛋白 T(hscTnT)值以及必要时进一步的诊断性检查进行最终临床诊断,以此作为金标准。oCAD 定义为经冠状动脉造影证实的存在典型心绞痛或 hscTnT 动力学变化的狭窄性 CAD。将诊断分为三组:0:非心脏,1:oCAD,2:心脏,非 oCAD。对 fSENC 牛眼图(blinded to final diagnosis)的视觉分析结果显示,识别 oCAD 的敏感性为 82%,特异性为 87%,阴性预测值为 96%。整体周向应变(GCS)和整体纵向应变(GLS)均能准确识别 oCAD(曲线下面积 AUC:GCS 为 0.867;GLS 为 0.874;两者均 p<0.0001),优于心电图、hscTnT 动力学和 EF。此外,基于节段的 fSENC 分析显示,存在应变受损的节段数与患者的最终诊断显著相关(p<0.05 所有比较)。

结论

在新发胸痛患者中,fSENC-CMR 心肌应变成像可作为一种快速准确的诊断工具,用于排除阻塞性冠状动脉疾病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/556e3154afb2/pone.0251040.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/8be90cb21f28/pone.0251040.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/132956684279/pone.0251040.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/6fe2172b2ba8/pone.0251040.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/314dd365c34c/pone.0251040.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/4c2ff282eb47/pone.0251040.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/556e3154afb2/pone.0251040.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/8be90cb21f28/pone.0251040.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/132956684279/pone.0251040.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/6fe2172b2ba8/pone.0251040.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/314dd365c34c/pone.0251040.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/4c2ff282eb47/pone.0251040.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7df3/8092784/556e3154afb2/pone.0251040.g006.jpg

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