Layer-specific fast strain-encoded cardiac magnetic resonance imaging aids in the identification and discrimination of acute myocardial injury: a prospective proof-of-concept study.

IF 4.2 1区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Lukas D Weberling, David Albert, Andreas Ochs, Marco Ochs, Deborah Siry, Janek Salatzki, Evangelos Giannitsis, Norbert Frey, Johannes Riffel, Florian André
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引用次数: 0

Abstract

Background: Acute myocardial injury is a common diagnosis in the emergency department and differential diagnoses are numerous. Cardiac magnetic resonance (CMR) strain sequences, such as fast strain ENCoded (fSENC), are early predictors of myocardial function loss. This study assessed the potential diagnostic and prognostic benefits of a layer-specific approach.

Methods: For this prospective study, patients in the emergency department fulfilling rule-in criteria for non-ST-elevation myocardial infarction (NSTEMI) received an ultra-fast fSENC CMR. Volunteers without cardiac diseases (controls) were recruited for comparison. Measurements were performed in a single heartbeat acquisition to measure global longitudinal strain (GLS) and segmental longitudinal strain and dysfunctional segments. The GLS was measured in two layers and a difference (GLSdifference = GLSepicardial - GLSendocardial) was calculated. The performance of those strain features was compared to standard care (physical examination, cardiac biomarkers, electrocardiogram). According to the final diagnosis after discharge, patients were divided into groups and followed up for 2 years.

Results: A total of 114 participants, including 50 controls, were included. The 64 patients (51 male) were divided into a NSTEMI (25), myocarditis (16), and other myocardial injury group (23). GLS served as a potent predictor of myocardial injury (area under the curve (AUC) 91.8%). The GLSdifference provided an excellent diagnostic performance to identify a NSTEMI (AUC 83.2%), further improved by including dysfunctional segments (AUC 87.5%, p = 0.01). An optimal test was achieved by adding fSENC to standard care (AUC 95.5%, sensitivity 96.0%, specificity 86.5%, p = 0.03). No death occurred in 2 years for patients with normal GLS and ≤5 dysfunctional segments, while three patients died that showed abnormal GLS or >5 dysfunctional segments.

Conclusions: Layer-specific strain is a potential new marker with high diagnostic performance in the identification and differentiation of acute myocardial injuries.

特异层快速应变编码心脏磁共振成像有助于识别和区分急性心肌损伤:一项前瞻性概念验证研究。
背景:急性心肌损伤是急诊科的常见诊断,鉴别诊断很多。心脏磁共振(CMR)应变序列(如 fSENC)是心肌功能丧失的早期预测指标。本研究评估了特定层方法在诊断和预后方面的潜在优势:在这项前瞻性研究中,急诊科符合非 ST 段抬高型心肌梗死(NSTEMI)入院标准的患者接受了超快速 fSENC CMR 检查。同时还招募了无心脏病的志愿者(对照组)进行对比。测量在一次心跳采集中进行,以测量整体和节段纵向应变(GLS)以及功能障碍节段。GLS 分两层测量,并计算差值(GLSdifference=GLS 心外膜-GLS 心内膜)。这些应变特征的性能与标准护理(体格检查、心脏生物标志物、心电图)进行了比较。根据出院后的最终诊断结果,将患者分为不同组别,并进行为期两年的随访:结果:共纳入 114 名患者,包括 50 名对照组患者。64名患者(51名男性)被分为NSTEMI组(25名)、心肌炎组(16名)和其他心肌损伤组(23名)。GLS 是预测心肌损伤的有效指标(曲线下面积 (AUC) 91.8%)。GLSdifference 在鉴别 NSTEMI 方面具有极佳的诊断性能(AUC 83.2%),在纳入功能障碍节段后进一步提高了诊断性能(AUC 87.5%,p=0.01)。在标准治疗的基础上增加 fSENC 可达到最佳检测效果(AUC 95.5%,灵敏度 96.0%,特异性 86.5%,P=0.03)。GLS正常且功能障碍节段少于5个的患者在2年内没有死亡,而GLS异常或功能障碍节段大于5个的患者中有3人死亡:结论:层特异性应变是一种潜在的新标志物,在识别和区分急性心肌损伤方面具有很高的诊断性能。
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来源期刊
CiteScore
10.90
自引率
12.50%
发文量
61
审稿时长
6-12 weeks
期刊介绍: Journal of Cardiovascular Magnetic Resonance (JCMR) publishes high-quality articles on all aspects of basic, translational and clinical research on the design, development, manufacture, and evaluation of cardiovascular magnetic resonance (CMR) methods applied to the cardiovascular system. Topical areas include, but are not limited to: New applications of magnetic resonance to improve the diagnostic strategies, risk stratification, characterization and management of diseases affecting the cardiovascular system. New methods to enhance or accelerate image acquisition and data analysis. Results of multicenter, or larger single-center studies that provide insight into the utility of CMR. Basic biological perceptions derived by CMR methods.
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