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Cardiac magnetic resonance feature tracking for quantifying right ventricular deformation in type 2 diabetes mellitus patients

机译:心脏磁共振特征跟踪可量化2型糖尿病患者的右心室变形

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摘要

To determine the feasibility of deformation analysis in the right ventricle (RV) using cardiovascular magnetic resonance myocardial feature tracking (CMR-FT) in type 2 diabetes mellitus (T2DM) patients. We enrolled 104 T2DM patients, including 14 with impaired right ventricular ejection fraction (RVEF) and 90 with preserved RVEF, and 26 healthy controls in this prospective study. CMR was used to determine RV feature-tracking parameters. RV strain parameters were compared among the controls, patients with preserved and reduced RVEF. Binary logistic regression was used to predict RV dysfunction. Receiver operating characteristic analysis was used to assess the diagnostic accuracy. The agreement was tested by Bland–Altman analysis. Compared with controls, longitudinal and circumferential global peak strain (PS) and PS at mid-ventricular, apical slices were significantly decreased in T2DM patients with or without reduced RVEF (p < 0.05). Within the T2DM patients, the global longitudinal PS (GLPS) and the longitudinal PS at mid-ventricular segments were significantly reduced in the reduced RVEF group than in preserved RVEF groups (p < 0.05). GLPS was an independent predictor of RV dysfunction (odds ratio: 1.246, 95% CI: 1.037–1.496; p = 0.019). The GLPS demonstrated greater diagnostic accuracy (area under curve: 0.716) to predict RV dysfunction. On Bland-Altman analysis, global circumferential PS and GLPS had the best intra- and inter-observer agreement, respectively. In T2DM patients, CMR-FT could quantify RV deformation and identify subclinical RV dysfunction in those with normal RVEF. Further, RV strain parameters are potential predictors for RV dysfunction in T2DM patients.
机译:为了确定在2型糖尿病(T2DM)患者中使用心血管磁共振心肌特征跟踪(CMR-FT)进行右心室(RV)变形分析的可行性。在这项前瞻性研究中,我们招募了104例T2DM患者,包括14例右心室射血分数(RVEF)受损和90例RVEF保留,以及26例健康对照。 CMR用于确定RV特征跟踪参数。在对照组,RVEF保留和减少的患者之间比较RV应变参数。二元逻辑回归用于预测RV功能障碍。接收器工作特性分析用于评估诊断准确性。该协议已通过Bland–Altman分析进行了测试。与对照组相比,伴或不伴RVEF降低的T2DM患者的纵向和周向总体峰值应变(PS)以及心室中,心尖部切片的PS均显着降低(p <0.05)。在T2DM患者中,RVEF降低组的总纵向PS(GLPS)和心室中段的纵向PS显着低于保留RVEF组(p <0.05)。 GLPS是RV功能障碍的独立预测因子(几率:1.246,95%CI:1.037–1.496; p = 0.019)。 GLPS显示出更高的诊断准确性(曲线下面积:0.716),可以预测RV功能障碍。根据Bland-Altman分析,整体圆周PS和GLPS分别在观察者内部和观察者之间具有最佳一致性。在T2DM患者中,CMR-FT可以量化RVEF正常者的RV变形并确定亚临床RV功能障碍。此外,RV应变参数是T2DM患者RV功能障碍的潜在预测指标。

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