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使用模块化成像算法进行内血管大动脉修复后个性化监测

Amun Georg Hofmann¹, Irene Mlekusch¹, Georg Wickenhauser¹

¹Department of Vascular and Endovascular Surgery, Klinik Ottakring, Montleartstraße 37, 1160 Vienna, Austria.

Diagnostics (Basel, Switzerland)

|May 11, 2024

概括

一个新的模块化成像算法可以个性化监测血管内主动脉修复 (EVAR) 和窗口式EVAR (FEVAR) 后的监测. 这种方法减少了不必要的高级成像,提高了效率和患者护理.

科学领域:

血管外科血管外科
医疗成像医学成像
医疗信息学医疗信息学

背景情况:

目前对内血管大动脉修复 (EVAR) 和窗户式EVAR (FEVAR) 的监测缺乏个性化.
治疗策略是个性化的,但后续成像通常使用一种适合所有人的方法.

研究的目的:

提出和评估一个模块化成像算法,用于EVAR和FEVAR之后的个性化监控.
根据侵袭性和临床需要,升级成像强度.

主要方法:

对EVAR和FEVAR患者的单中心队列的回顾性分析.
实现一个模块化成像算法,从B模式超声波开始,到Duplex超声波,B-Flow和对比增强超声波 (CEUS).
在必要时使用CT血管造影 (CTA);对内泄漏检测率的比较分析.

主要成果:

这项研究包括28名EVAR和40名FEVAR患者,包括101次随访和431次成像研究.
与对比度增强的超声波 (CEUS) 显示出最高的内泄漏检测率,其次是CTA和B-Flow.
双重超声波和B-Flow显示低假阳性率 (分别为0和1);CEUS是参考标准.
在6名患者中,在Duplex或B-Flow通过Duplex或B-Flow检测出阳性内漏洞后,CEUS被遗漏,导致治疗成功,没有不良事件.

结论:

模块化成像算法支持个性化医疗在EVAR/FEVAR后的监测.
像Duplex超声波和B-Flow这样的不那么侵入性和资源密集型成像可能会在阳性时取代先进的方法 (CEUS,CTA) 来检测内泄漏.
这种方法可以优化资源利用和患者管理.

关键词:

埃瓦尔·埃瓦尔 (Evar Evar) 是一个人.发烧,就是发烧.血管内大动脉修复影像成像技术影像成像技术超声波超声波是指超声波的使用.

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