自动超声设备在识别和追踪猪心脏骤停时的性能。

IF 3.4 Q2 Medicine
Paul Olszynski, Rory A Marshall, T Dylan Olver, Trevor Oleniuk, Cameron Auser, Tracy Wilson, Paul Atkinson, Rob Woods
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引用次数: 0

摘要

背景:虽然心跳骤停时超声心动图可用于指导和监测胸外按压质量,但目前在院外心跳骤停现场还不可行。快速、自动的心脏超声定位可为急救人员提供最佳按压区域的指导,而不需要他们解释超声图像。在这项猪概念验证研究中,我们试图描述自动超声设备在三种不同状态下正确识别和追踪心脏边界的性能:骤停前、骤停和骤停晚期:方法:在 7 头猪的胸部沿胸骨左缘(第 4-8 肋间)放置一台自动超声设备(膀胱扫描仪)。在停搏前、停搏和停搏后期,记录每个间隙的扫描仪生成的图像。随机抽取了 828 张左心室和左心室流出道图像,并选择了 150 张(50/州)进行分析。然后对心脏的扫描描记进行数字模糊处理,以便于对生理状态失明的专家评审员进行描记。审查人员的描记与膀胱扫描仪描记进行比较;通过索伦森-戴斯指数(SDI)确定这些图像之间的一致性:结果:膀胱扫描仪与人类评审员相比,能够识别和追踪心脏骤停时的边界。膀胱扫描仪在心跳骤停时表现最佳(SDI 0.900 ± 0.059)。随着抢救工作的继续和距离最初心跳骤停时间的延长,扫描仪的性能急剧下降(心跳骤停晚期的 SDI 为 0.597 ± 0.241):结论:自动超声设备(膀胱扫描仪)能可靠地追踪心脏骤停时的猪心。我们有可能开发出一种设备,无需操作员解读超声波图像即可指示按压位置。在院外心脏骤停时,有必要对心脏的快速、自动超声定位进行进一步研究,以确定按压区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest.

Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest.

Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest.

Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest.

Background: While intra-arrest echocardiography can be used to guide and monitor chest compression quality, it is not currently feasible on the scene of out-of-hospital cardiac arrests. Rapid and automated sonographic localization of the heart may provide first-responders guidance to an optimal area of compression without requiring them to interpret ultrasound images. In this proof-of-concept porcine study, we sought to describe the performance of an automated ultrasound device in correctly identifying and tracing the borders of the heart in three distinct states: pre-arrest, arrest, and late arrest.

Methods: An automated ultrasound device (bladder scanner) was placed on the chests of 7 swine, along the left sternal border (4th-8th intercostal spaces). Scanner-generated images were recorded for each space during pre-arrest, arrest, and finally late arrest. 828 images of the LV and LV outflow tract were randomized and 150 (50/state) selected for analysis. Scanner tracings of the heart were then digitally obscured to facilitate tracing by expert reviewers who were blinded to the physiologic state. Reviewer tracings were compared to bladder scanner tracings; with concordance between these images determined via Sørensen-Dice index (SDI).

Results: When compared to human reviewers, the bladder scanner was able to identify and trace the borders during cardiac arrest. The bladder scanner performed best at the time of arrest (SDI 0.900 ± 0.059). As resuscitation efforts continued and time from initial arrest increased, the scanner's performance decreased dramatically (SDI 0.597 ± 0.241 in late arrest).

Conclusion: An automated ultrasound device (bladder scanner) reliably traced porcine hearts during cardiac arrest. It is possible a device could be developed to indicate where compressions should be performed without requiring the operator to interpret ultrasound images. Further investigation into rapid, automated, sonographic localization of the heart to identify the area of compression in out-of-hospital cardiac arrest is warranted.

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来源期刊
Ultrasound Journal
Ultrasound Journal Health Professions-Radiological and Ultrasound Technology
CiteScore
6.80
自引率
2.90%
发文量
45
审稿时长
22 weeks
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