Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study

Objective: This is an initial study to validate central venous pressure (CVP) measurements derived from quantitative compression ultrasound (QCU). Impact Statement: This study is the first gold standard invasive validation of CVP estimation from QCU. Introduction: QCU finds the collapse force—the fo...

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Main Authors: Alex T. Jaffe, Roger Pallarès-López, Jeffrey K. Raines, Aaron D. Aguirre, Brian W. Anthony
Format: Article
Language:English
Published: American Association for the Advancement of Science (AAAS) 2025-01-01
Series:BME Frontiers
Online Access:https://spj.science.org/doi/10.34133/bmef.0115
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author Alex T. Jaffe
Roger Pallarès-López
Jeffrey K. Raines
Aaron D. Aguirre
Brian W. Anthony
author_facet Alex T. Jaffe
Roger Pallarès-López
Jeffrey K. Raines
Aaron D. Aguirre
Brian W. Anthony
author_sort Alex T. Jaffe
collection DOAJ
description Objective: This is an initial study to validate central venous pressure (CVP) measurements derived from quantitative compression ultrasound (QCU). Impact Statement: This study is the first gold standard invasive validation of CVP estimation from QCU. Introduction: QCU finds the collapse force—the force required for complete occlusion—of the short axis of the internal jugular vein (IJV) to estimate CVP. Methods: We captured QCU data as well as the noninvasive clinical standard jugular venous pulsation height (JVP) on cardiac intensive care unit (CICU) patients at Massachusetts General Hospital (MGH). We compared these data to ground truth invasive CVP data from the MGH CICU. Results: Using linear regression, we correlated invasive CVP with collapse force (r2: 0.82, error: 1.08 mmHg) and with JVP (r2: 0.45, error: 1.39 mmHg). To directly compare our method to JVP, we measured the percentage of patients whose uncertainty estimates for QCU methods and for JVP overlapped with their invasive CVP counterparts. We found that the CVP overlap accuracy of collapse force (77.8%) and of collapse force and hydrostatic offset (88.9%) are higher than that of JVP (12.5%). Finally, we input QCU image segmentation data of the short-axis cross-sections of the IJV and carotid artery into an inverse finite element model to predict the invasive CVP waveform. Conclusion: These results validate the noninvasive technique for estimating CVP, namely, QCU, indicating that it may provide a desirable, middle-ground alternative to invasive catheterization and to visual inspection of the JVP.
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spelling doaj-art-693ea58c303346e4b6274f144c3f0e122025-08-20T02:29:36ZengAmerican Association for the Advancement of Science (AAAS)BME Frontiers2765-80312025-01-01610.34133/bmef.0115Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot StudyAlex T. Jaffe0Roger Pallarès-López1Jeffrey K. Raines2Aaron D. Aguirre3Brian W. Anthony4Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA.Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.Objective: This is an initial study to validate central venous pressure (CVP) measurements derived from quantitative compression ultrasound (QCU). Impact Statement: This study is the first gold standard invasive validation of CVP estimation from QCU. Introduction: QCU finds the collapse force—the force required for complete occlusion—of the short axis of the internal jugular vein (IJV) to estimate CVP. Methods: We captured QCU data as well as the noninvasive clinical standard jugular venous pulsation height (JVP) on cardiac intensive care unit (CICU) patients at Massachusetts General Hospital (MGH). We compared these data to ground truth invasive CVP data from the MGH CICU. Results: Using linear regression, we correlated invasive CVP with collapse force (r2: 0.82, error: 1.08 mmHg) and with JVP (r2: 0.45, error: 1.39 mmHg). To directly compare our method to JVP, we measured the percentage of patients whose uncertainty estimates for QCU methods and for JVP overlapped with their invasive CVP counterparts. We found that the CVP overlap accuracy of collapse force (77.8%) and of collapse force and hydrostatic offset (88.9%) are higher than that of JVP (12.5%). Finally, we input QCU image segmentation data of the short-axis cross-sections of the IJV and carotid artery into an inverse finite element model to predict the invasive CVP waveform. Conclusion: These results validate the noninvasive technique for estimating CVP, namely, QCU, indicating that it may provide a desirable, middle-ground alternative to invasive catheterization and to visual inspection of the JVP.https://spj.science.org/doi/10.34133/bmef.0115
spellingShingle Alex T. Jaffe
Roger Pallarès-López
Jeffrey K. Raines
Aaron D. Aguirre
Brian W. Anthony
Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study
BME Frontiers
title Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study
title_full Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study
title_fullStr Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study
title_full_unstemmed Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study
title_short Noninvasive Quantitative Compression Ultrasound Central Venous Pressure: A Clinical Pilot Study
title_sort noninvasive quantitative compression ultrasound central venous pressure a clinical pilot study
url https://spj.science.org/doi/10.34133/bmef.0115
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