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下腔静脉边缘追踪超声心动图:一种在多种临床场景中具有应用前景的工具。

Inferior Vena Cava Edge Tracking Echocardiography: A Promising Tool with Applications in Multiple Clinical Settings.

作者信息

Albani Stefano, Mesin Luca, Roatta Silvestro, De Luca Antonio, Giannoni Alberto, Stolfo Davide, Biava Lorenza, Bonino Caterina, Contu Laura, Pelloni Elisa, Attena Emilio, Russo Vincenzo, Antonini-Canterin Francesco, Pugliese Nicola Riccardo, Gallone Guglielmo, De Ferrari Gaetano Maria, Sinagra Gianfranco, Scacciatella Paolo

机构信息

Division of Cardiology, Umberto Parini Regional Hospital, 11100 Aosta, Italy.

Cardio-Thoraco-Vascular Department, Division of Cardiology and Postgraduate School in Cardiovascular Sciences, University of Trieste, 34127 Trieste, Italy.

出版信息

Diagnostics (Basel). 2022 Feb 7;12(2):427. doi: 10.3390/diagnostics12020427.

DOI:10.3390/diagnostics12020427
PMID:35204518
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8871248/
Abstract

Ultrasound (US)-based measurements of the inferior vena cava (IVC) diameter are widely used to estimate right atrial pressure (RAP) in a variety of clinical settings. However, the correlation with invasively measured RAP along with the reproducibility of US-based IVC measurements is modest at best. In the present manuscript, we discuss the limitations of the current technique to estimate RAP through IVC US assessment and present a new promising tool developed by our research group, the automated IVC edge-to-edge tracking system, which has the potential to improve RAP assessment by transforming the current categorical classification (low, normal, high RAP) in a continuous and precise RAP estimation technique. Finally, we critically evaluate all the clinical settings in which this new tool could improve current practice.

摘要

基于超声(US)测量下腔静脉(IVC)直径在各种临床环境中被广泛用于估计右心房压力(RAP)。然而,与通过侵入性测量获得的RAP之间的相关性以及基于US的IVC测量的可重复性充其量只是中等程度。在本手稿中,我们讨论了通过IVC US评估来估计RAP的当前技术的局限性,并介绍了我们研究小组开发的一种新的有前景的工具——自动IVC边缘到边缘跟踪系统,该系统有可能通过将当前的分类(低、正常、高RAP)转变为一种连续且精确的RAP估计技术来改善RAP评估。最后,我们严格评估了这种新工具能够改进当前实践的所有临床环境。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/413c404639e3/diagnostics-12-00427-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/7c291a71f873/diagnostics-12-00427-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/c30944b80565/diagnostics-12-00427-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/69712d877a4d/diagnostics-12-00427-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/be52e92e3695/diagnostics-12-00427-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/413c404639e3/diagnostics-12-00427-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/7c291a71f873/diagnostics-12-00427-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/c30944b80565/diagnostics-12-00427-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/69712d877a4d/diagnostics-12-00427-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/be52e92e3695/diagnostics-12-00427-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/632a/8871248/413c404639e3/diagnostics-12-00427-g005.jpg

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