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为心脏MRI优化合成血红素:使用标准化静脉采样校准的多变量模型

Çağrı Özcan¹, Hasan Yiğit², Mehmet Serkan Çetin³

¹Department of Radiology, Ankara Etimesgut Şehit Sait Ertürk State Hospital, Ulubatlı Hasan St., No: 5, Etimesgut, TR-06790, İstasyon NBHD, Ankara, Türkiye, Turkey. md.cagriozcan@gmail.com.

The international journal of cardiovascular imaging

|August 22, 2025

概括

一个新的合成血红素 (Hct) 模型使用心脏MRI数据来准确量化细胞外体积 (ECV),而不需要取血样. 这种方法提高了准确性,特别是在心电量升高的患者中,为心脏评估提供了非侵入性的替代方案.

科学领域:

心血管成像和诊断
生物医学工程
定量核磁共振

背景情况:

心脏磁共振 (CMR) 对于非侵入性细胞外体积 (ECV) 量化至关重要.
静脉血红素 (Hct) 测量通常需要用于ECV计算,但可能会影响精度的波动.
开发可靠的,非侵入性的Hct估计方法对于精确的ECV量化至关重要.

研究的目的:

开发和验证合成血红素 (Hct_syn) 模型以使用CMR准确估计ECV.
将患者的人口统计 (年龄,性别) 和血液池T1值纳入Hct_syn模型.
将模型与优化的静脉Hct基准进行校准,并评估其性能,特别是在缩性心肌病 (HCM) 中.

主要方法:

对253名患有各种心脏疾病的CMR数据进行了回顾性分析.
静脉Hct样本是在对比剂注射前躺卧15分钟后采集的.
合成Hct模型 (Hct_syn) 的开发,包括年龄,性别和对比前/后血池T1值.
使用优化的静脉Hct参考对Hct_syn模型进行校准.

主要成果:

Hct_syn模型与测量的ECV有很强的一致性 (偏差: 0. 31%,RMSE: 1.25,CCC: 0. 949).
在HCM亚群中,该模型显示高相关性 (r=0. 98) 与临床可接受的偏差 (-1. 16%).
该模型表现优于之前的性别特定公式,表现更好 (R2=0.56) 和更低的可变性.

结论:

一个标准化合成Hct模型可以在不需要采血的情况下准确,非侵入性估计ECV.
与现有方法相比,这种新的方法提供了更高的性能,特别是在ECV升高的患者中.
Hct_syn模型代表了定量CMR的重大进步,提高了诊断精度和患者舒适度.

关键词:

心脏磁共振成像 (CMR成像)扩散性间歇性心肌纤维化细胞外体积分数 (ECV分数)血红素肌动脉测绘

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