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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724362/ https://www.ncbi.nlm.nih.gov/pubmed/34978635 http://dx.doi.org/10.1186/s13089-021-00251-5 |
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author | Olszynski, Paul Marshall, Rory A. Olver, T. Dylan Oleniuk, Trevor Auser, Cameron Wilson, Tracy Atkinson, Paul Woods, Rob |
author_facet | Olszynski, Paul Marshall, Rory A. Olver, T. Dylan Oleniuk, Trevor Auser, Cameron Wilson, Tracy Atkinson, Paul Woods, Rob |
author_sort | Olszynski, Paul |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8724362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-87243622022-01-18 Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest Olszynski, Paul Marshall, Rory A. Olver, T. Dylan Oleniuk, Trevor Auser, Cameron Wilson, Tracy Atkinson, Paul Woods, Rob Ultrasound J Original Article 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. Springer International Publishing 2022-01-03 /pmc/articles/PMC8724362/ /pubmed/34978635 http://dx.doi.org/10.1186/s13089-021-00251-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Article Olszynski, Paul Marshall, Rory A. Olver, T. Dylan Oleniuk, Trevor Auser, Cameron Wilson, Tracy Atkinson, Paul Woods, Rob Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
title | Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
title_full | Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
title_fullStr | Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
title_full_unstemmed | Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
title_short | Performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
title_sort | performance of an automated ultrasound device in identifying and tracing the heart in porcine cardiac arrest |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8724362/ https://www.ncbi.nlm.nih.gov/pubmed/34978635 http://dx.doi.org/10.1186/s13089-021-00251-5 |
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