Department of Diagnostic and Interventional Radiology, University Hospital Hamburg Eppendorf, Martinistr. 52, 20246, Hamburg, Germany.
Department of General and Interventional Cardiology, University Heart Center Hamburg, Hamburg, Germany.
Eur Radiol. 2017 Dec;27(12):5136-5145. doi: 10.1007/s00330-017-4869-x. Epub 2017 Jun 14.
To evaluate the ability of late gadolinium enhancement (LGE) and mapping cardiac magnetic resonance (CMR) including native T1 and global extracellular volume (ECV) to identify hypertrophic cardiomyopathy (HCM) patients at risk for sudden cardiac death (SCD) and to predict syncope or non-sustained ventricular tachycardia (VT).
A 1.5-T CMR was performed in 73 HCM patients and 16 controls. LGE size was quantified using the 3SD, 5SD and full width at half maximum (FWHM) method. T1 and ECV maps were generated by a 3(3)5 modified Look-Locker inversion recovery sequence. Receiver-operating curve analysis evaluated the best parameter to identify patients with increased SCD risk ≥4% and patients with syncope or non-sustained VT.
Global ECV was the best predictor of SCD risk with an area under the curve (AUC) of 0.83. LGE size was significantly inferior to global ECV with an AUC of 0.68, 0.70 and 0.70 (all P < 0.05) for 3SD-, 5SD- and FWHM-LGE, respectively. Combined use of the SCD risk score and global ECV significantly improved the diagnostic accuracy to identify HCM patients with syncope or non-sustained VT.
Combined use of the SCD risk score and global ECV has the potential to improve HCM patient selection, benefiting most implantable cardioverter defibrillators.
• Global ECV identified the best HCM patients with increased SCD risk. • Global ECV performed equally well compared to a SCD risk score. • Combined use of the SCD risk score and global ECV improved test accuracy. • Combined use potentially improves selection of HCM patients for ICD implantation.
评估钆延迟增强(LGE)和心脏磁共振(CMR)包括原生 T1 和整体细胞外容积(ECV)成像对识别肥厚型心肌病(HCM)患者发生心源性猝死(SCD)风险的能力,并预测晕厥或非持续性室性心动过速(VT)。
对 73 例 HCM 患者和 16 例对照者进行 1.5T CMR 检查。使用 3SD、5SD 和半高全宽(FWHM)方法定量 LGE 大小。通过 3(3)5 改良 Look-Locker 反转恢复序列生成 T1 和 ECV 图。受试者工作特征曲线分析评估了识别 SCD 风险增加≥4%的患者和晕厥或非持续性 VT 患者的最佳参数。
整体 ECV 是 SCD 风险的最佳预测因子,曲线下面积(AUC)为 0.83。LGE 大小明显不如整体 ECV,3SD-LGE、5SD-LGE 和 FWHM-LGE 的 AUC 分别为 0.68、0.70 和 0.70(均 P < 0.05)。联合使用 SCD 风险评分和整体 ECV 显著提高了识别晕厥或非持续性 VT 的 HCM 患者的诊断准确性。
联合使用 SCD 风险评分和整体 ECV 有可能改善 HCM 患者的选择,使大多数植入式心脏复律除颤器受益。
• 整体 ECV 可识别发生 SCD 风险增加的最佳 HCM 患者。• 整体 ECV 的表现与 SCD 风险评分相当。• 联合使用 SCD 风险评分和整体 ECV 提高了检测准确性。• 联合使用可能改善 HCM 患者植入 ICD 的选择。