Evidence map›Paper›PMID 39409530›Full record

ArticleSensors (Basel, Switzerland)2024

Comparative Approach to Performance Estimation of Pulsed Wave Doppler Equipment Based on Kiviat Diagram.

Giorgia Fiori, Andrea Scorza, Maurizio Schmid, Silvia Conforto, Salvatore Andrea Sciuto

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Giorgia FioriDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy.ORCID 0000-0001-7143-5499
Andrea ScorzaDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy.ORCID 0000-0002-3542-8854
Maurizio SchmidDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy.ORCID 0000-0003-3380-6994
Silvia ConfortoDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy.ORCID 0000-0001-7323-5220
Salvatore Andrea SciutoDepartment of Industrial, Electronic and Mechanical Engineering, University of Roma Tre, 00146 Rome, Italy.ORCID 0000-0001-7072-1055

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quality assessment of ultrasound medical systems is a demanding task due to the high number of parameters to quantify their performance: in the present study, a Kiviat diagram-based integrated approach was proposed to effectively combine the contribution of some experimental parameters and quantify the overall performance of pulsed wave Doppler (PWD) systems for clinical applications. Four test parameters were defined and assessed through custom-written measurement methods based on image analysis, implemented in the MATLAB environment, and applied to spectral images of a flow phantom, i.e., average maximum velocity sensitivity (AMVS), velocity measurements accuracy (VeMeA), lowest detectable signal (LDS), and the velocity profile discrepancy index (VPDI). The parameters above were scaled in a standard range to represent the four vertices of a Kiviat plot, whose area was considered the overall quality index of the ultrasound system in PWD mode. Five brand-new ultrasound diagnostic systems, equipped with linear array probes, were tested in two different working conditions using a commercial flow phantom as a reference. The promising results confirm the robustness of AMVS, VeMeA, and LDS parameters while suggesting further investigations on the VPDI.

Indexed as

flow phantomKiviat diagrammeasurement methodspulsed wave Dopplerquality assessmentultrasound diagnostic systems

Identifiers

PMID39409530
PMCPMC11479340

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.