有心力衰竭风险的患者肺水密度会升高,这在很大程度上与传统的心血管磁共振测量无关。

European heart journal. Imaging methods and practice Pub Date : 2024-08-27 eCollection Date: 2024-07-01 DOI:10.1093/ehjimp/qyae089
Nithin R Iyer, Jennifer A Bryant, Thu-Thao Le, Justin G Grenier, Richard B Thompson, Calvin W L Chin, Martin Ugander
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引用次数: 0

摘要

目的:临床实践中缺乏量化肺充血的无创方法。心血管磁共振(CMR)肺水肿密度(LWD)绘图准确、可重复,具有预后价值。然而,肺水密度是否与常规获得的 CMR 参数相关尚不清楚:这是一个观察性队列,包括健康对照组和有心力衰竭风险的患者。采用自由呼吸短回波时间三维笛卡尔梯度回波序列和呼吸导航仪在 1.5 T 下进行 CMR 测量,评估 LWD、肺水容积和心脏容积、左心室(LV)质量和功能、心肌原生 T1 和细胞外容积分数之间的关联。在有心力衰竭风险的患者(n = 155)中,肺活量大于健康对照组(n = 15)(30.4 ± 5.0 vs. 27.2 ± 4.3%,P = 0.02)。通过接收器操作特征分析,LWD 的最佳临界值为 27.6%,可检测出高危患者(灵敏度 72%,特异度 73%,正向似然比 2.7,反向负向似然比 2.6)。LWD 与体重指数 (BMI)、高血压、右心房面积和左心室质量存在单变量相关性。在多变量线性回归中,只有体重指数仍与 LWD 相关(R 2 = 0.32,P < 0.001):结论:与对照组相比,心力衰竭高危患者的 LWD 会增加,而传统的 CMR 测量只能提供微弱的解释。LWD提供的诊断信息在很大程度上独立于传统的CMR测量。
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Lung water density is increased in patients at risk of heart failure and is largely independent of conventional cardiovascular magnetic resonance measures.

Aims: Non-invasive methods to quantify pulmonary congestion are lacking in clinical practice. Cardiovascular magnetic resonance (CMR) lung water density (LWD) mapping is accurate and reproducible and has prognostic value. However, it is not known whether LWD is associated with routinely acquired CMR parameters.

Methods and results: This was an observational cohort including healthy controls and patients at risk of heart failure. LWD was measured using CMR with a free-breathing short echo time 3D Cartesian gradient-echo sequence with a respiratory navigator at 1.5 T. Associations were assessed between LWD, lung water volume and cardiac volumes, left ventricular (LV) mass and function, myocardial native T1, and extracellular volume fraction. In patients at risk for heart failure (n = 155), LWD was greater than in healthy controls (n = 15) (30.4 ± 5.0 vs. 27.2 ± 4.3%, P = 0.02). Using receiver operating characteristic analysis, the optimal cut-off for LWD was 27.6% to detect at-risk patients (sensitivity 72%, specificity 73%, positive likelihood ratio 2.7, and inverse negative likelihood ratio 2.6). LWD was univariably associated with body mass index (BMI), hypertension, right atrial area, and LV mass. In multivariable linear regression, only BMI remained associated with LWD (R 2 = 0.32, P < 0.001).

Conclusion: LWD is increased in patients at risk for heart failure compared with controls and is only weakly explained by conventional CMR measures. LWD provides diagnostic information that is largely independent of conventional CMR measures.

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