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MRI-based multiparametric strain analysis predicts contractile recovery after aortic valve replacement for aortic insufficiency

机译:基于MRI的多参数应变分析可预测主动脉瓣置换后主动脉瓣关闭不全的收缩恢复

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Background: Guidelines for referral of chronic aortic insufficiency (AI) patients for aortic valve replacement (AVR) suggest that surgery can be delayed until symptoms or reduction in left ventricular (LV) contractile function occur. The frequent occurrence of reduced LV contractile function after AVR for chronic AI suggests that new contractile metrics for surgical referral are needed. Methods: In 16 chronic AI patients, cardiac MRI tagged images were analyzed before and 21.5 ± 13.8 months after AVR to calculate LV systolic strain. Average measurements of three strain parameters were obtained for each of 72 LV regions, normalized using a normal human strain database (n = 63), and combined into a composite index (multiparametric strain z score [MSZ]) representing standard deviation from the normal regional average. Results: Preoperative global MSZ (72-region average) correlated with post-AVR global MSZ (R 2= 0.825, p 0.001). Preoperative global MSZ also predicts improvement of impaired regions (N = 271 regions from 14 AI patients, R 2= 0.392, p 0.001). Preoperative MRI-based LV ejection fraction (LVEF) is also predictive (r = 0.410, p 0.001). Although global preoperative MSZ had a significantly higher correlation than preoperative LVEF with improvement of injured regions (p 0.001), both measures convey the same phenomenon. Conclusions: Global preoperative MRI-based multiparametric strain predicts global strain postoperatively, as well as improvement of regions (n = 72 per LV) with impaired contractile function. Global contractile function is an important correlate with improvement in regionally impaired contractile function, perhaps reflecting total AI volume-overload burden (severity/duration of AI).
机译:背景:慢性主动脉瓣关闭不全(AI)患者转诊进行主动脉瓣置换(AVR)的指南建议,手术可以推迟到出现症状或左心室(LV)收缩功能降低。慢性AI的AVR后LV收缩功能降低的频繁发生表明,需要新的收缩指标用于外科转诊。方法:在16例慢性AI患者中,对AVR之前和之后21.5±13.8个月的心脏MRI标记图像进行分析,以计算LV收缩压。获得了72个LV区域中每个区域三个应变参数的平均测量值,使用正常的人类应变数据库(n = 63)进行了归一化处理,然后将其合并为代表相对于正常区域的标准偏差的复合指数(多参数应变z评分[MSZ])平均。结果:术前总体MSZ(平均72个区域)与AVR后总体MSZ相关(R 2 = 0.825,p <0.001)。术前全球MSZ还可以预测受损区域的改善(14名AI患者的N = 271个区域,R 2 = 0.392,p <0.001)。术前基于MRI的左室射血分数(LVEF)也可预测(r = 0.410,p <0.001)。尽管总体术前MSZ与术前LVEF的相关性明显高于术前受损部位(p <0.001),但两种方法都传达了相同的现象。结论:术前基于MRI的多参数全局应变可预测术后总体应变,以及收缩功能受损区域的改善(n = 72 / LV)。全球收缩功能是与区域受损收缩功能改善的重要关联,也许反映了总的AI容量-超负荷负担(AI的严重程度/持续时间)。

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