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Ultrasonographic Measurement of Common Carotid Artery Wall Pulse Dynamics and Longitudinal Motion – Method Validation and a Novel Parameter Ratio

Petäjä, Artturi LU ; Zhu, Yuxiang LU ; Khodaverdi, Azin LU ; Erlöv, Tobias LU ; Ahlgren, Åsa Rydén LU orcid and Cinthio, Magnus LU orcid (2025) In Ultrasound in Medicine and Biology 51(3). p.559-567
Abstract

Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method. We also present a novel parameter ratio. Method: Four independent researchers, called “observers”, analyzed CINE-loops of two separate ultrasound recordings of the CCA in 20 healthy individuals using an in-house developed program (ARTIC) based on MATLAB. Vessel wall displacement... (More)

Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method. We also present a novel parameter ratio. Method: Four independent researchers, called “observers”, analyzed CINE-loops of two separate ultrasound recordings of the CCA in 20 healthy individuals using an in-house developed program (ARTIC) based on MATLAB. Vessel wall displacement was measured in two dimensions and results between repeated measurements for one research subject and between observers were compared. We also present and evaluate a novel parameter ratio, the notch ratio (NR) which by combining velocities of phases B and X reduces variability and improves comparability of LMov analysis in late systole. Results: Most LMov parameters showed good repeatability with coefficient of variation (CV) values 10%–26%. CV values for radial and IMT measures were excellent between 1% and 7%. Intra-class correlation coefficients (ICC) for inter-observer precision of single measures showed excellent values ICC > 0.9. NR improved LMov analysis in late systole and showed homogenous values of 1.36–1.45 between observers and good CV values of 9%–20%. Conclusion: We demonstrate good intra-observer repeatability and excellent inter-observer precision of LMov analysis using ARTIC. NR displays similar consistency. This promotes further research on larger study populations using the same method focusing on the possible pathophysiological link between LMov and cardiovascular disease.

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author
; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Arterial wall movement, Biomarkers, Longitudinal movement, Physiology, Ultrasound
in
Ultrasound in Medicine and Biology
volume
51
issue
3
pages
9 pages
publisher
Elsevier
external identifiers
  • scopus:85213040721
  • pmid:39721847
ISSN
0301-5629
DOI
10.1016/j.ultrasmedbio.2024.11.019
language
English
LU publication?
yes
id
b2bf9bed-8785-446d-90ea-5fe291cb5f21
date added to LUP
2025-01-29 12:09:10
date last changed
2025-07-17 01:42:59
@article{b2bf9bed-8785-446d-90ea-5fe291cb5f21,
  abstract     = {{<p>Objectives: The enormous burden that cardiovascular diseases put on individuals and societies warrants reliable biomarkers of disease risk to optimize disease prevention. We studied longitudinal movement (LMov) in arterial walls using ultrasound of the common carotid artery (CCA). We believe that LMov could be a sensitive biomarker of cardiovascular health and in this study, we evaluate the intra-observer repeatability and inter-observer precision of our method. We also present a novel parameter ratio. Method: Four independent researchers, called “observers”, analyzed CINE-loops of two separate ultrasound recordings of the CCA in 20 healthy individuals using an in-house developed program (ARTIC) based on MATLAB. Vessel wall displacement was measured in two dimensions and results between repeated measurements for one research subject and between observers were compared. We also present and evaluate a novel parameter ratio, the notch ratio (NR) which by combining velocities of phases B and X reduces variability and improves comparability of LMov analysis in late systole. Results: Most LMov parameters showed good repeatability with coefficient of variation (CV) values 10%–26%. CV values for radial and IMT measures were excellent between 1% and 7%. Intra-class correlation coefficients (ICC) for inter-observer precision of single measures showed excellent values ICC &gt; 0.9. NR improved LMov analysis in late systole and showed homogenous values of 1.36–1.45 between observers and good CV values of 9%–20%. Conclusion: We demonstrate good intra-observer repeatability and excellent inter-observer precision of LMov analysis using ARTIC. NR displays similar consistency. This promotes further research on larger study populations using the same method focusing on the possible pathophysiological link between LMov and cardiovascular disease.</p>}},
  author       = {{Petäjä, Artturi and Zhu, Yuxiang and Khodaverdi, Azin and Erlöv, Tobias and Ahlgren, Åsa Rydén and Cinthio, Magnus}},
  issn         = {{0301-5629}},
  keywords     = {{Arterial wall movement; Biomarkers; Longitudinal movement; Physiology; Ultrasound}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{559--567}},
  publisher    = {{Elsevier}},
  series       = {{Ultrasound in Medicine and Biology}},
  title        = {{Ultrasonographic Measurement of Common Carotid Artery Wall Pulse Dynamics and Longitudinal Motion – Method Validation and a Novel Parameter Ratio}},
  url          = {{http://dx.doi.org/10.1016/j.ultrasmedbio.2024.11.019}},
  doi          = {{10.1016/j.ultrasmedbio.2024.11.019}},
  volume       = {{51}},
  year         = {{2025}},
}