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Record W1996637884 · doi:10.1109/ultsym.2011.0526

Pulse Wave Ultrasound Manometry (PWUM): Measuring central blood pressure non-invasively

2011· article· en· W1996637884 on OpenAlexaboutno aff
Jonathan Vappou, Jianwen Luo, Kazue Okajima, Marco Di Tullio, Elisa E. Konofagou

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsnot available
Fundersnot available
KeywordsUltrasoundPulse wave velocityPulse pressureBlood pressureBiomedical engineeringArterial stiffnessWaveformPulse (music)MedicineAortaAcousticsCardiologyInternal medicinePhysicsRadiologyOptics

Abstract

fetched live from OpenAlex

As it has been widely established using invasive methodologies, central blood pressure (CBP) has a strong clinical relevance. Despite its significance, CBP is particularly challenging to measure in standard clinical practice. Pulse-Wave-based Ultrasound Manometry (PWUM) is a simple-to-use, non-invasive ultrasound-based method that combines Pulse Wave Imaging (PWI) and vessel diameter measurements for the quantitative regional and noninvasive measurement of the central pulse pressure. The objective of this study is to assess the feasibility of the proposed method in human subjects and to compare the PWUM to non-invasive arterial tonometry. Arterial wall displacements were estimated using radiofrequency (RF) ultrasound signals at high frame rates (248-392 Hz) using a Sonix Touch (Ultrasonix, Burnaby, Canada) system at 3.3 MHz. This allowed for (1) the estimation of the Young's modulus of the arterial wall, based on an image-guided measurement of the Pulse Wave Velocity (PWV) and the Moens-Korteweg equation, and (2) the estimation of the vessel distension waveform over the entire cardiac cycle. The combination of these two measurements allowed for the computation of the pressure waveform under the assumption of linear elasticity. The PWUM method was tested on the abdominal aorta of 11 healthy subjects (age 35.7± 16 y.o.). The PWUM pulse pressure measurements were compared to those obtained by radial applanation tonometry that uses a commercial system (SphygmoCor, Company, location) that estimates the pulse pressure at the thoracic aorta through a transfer function approach based on peripheral (carotid and radial) pressure measurements. All subjects were tested with both PWUM and tonometry to evaluate the performance of the former. The average intra-subject variability of the pulse pressure amplitude was found to be equal to 4.2 mmHg, demonstrating good reproducibility of the method. Excellent correlation was found between the waveforms obtained by PWUM and those obtained by tonometry in all subjects (0.94 <; r <; 0.98). A significant bias of 4.7 mmHg was found between PWUM and tonometry. The feasibility of the PWUM method was demonstrated in this study. PWUM is a simple, non-invasive and regional ultrasound-based method that provides a direct measurement of the pulse pressure waveform at the imaged location, and may offer therefore the capability of estimating the pulse pressure at different arterial sites. This can constitute an important alternative to current, clinically used central pressure methodologies that are either invasive (catheterization) or incur the solution of an inverse problem based on several assumptions on geometry and boundary conditions. Future developments include the validation of the method against invasive estimates, application to other central arteries, in the presence and absence of cardiovascular disease.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.238
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2011
Admission routes1
Has abstractyes

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