Evidence map›Paper›PMID 25249277›Full record

ArticleMedical & biological engineering & computing2014

Toward hemodynamic diagnosis of carotid artery stenosis based on ultrasound image data and computational modeling.

Luísa C Sousa, Catarina F Castro, Carlos C António, André Miguel F Santos, Rosa Maria Dos Santos, Pedro Miguel A C Castro, Elsa Azevedo, João Manuel R S Tavares

Abstract read
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In one paragraph

Article in Medical & biological engineering & computing, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.1field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 37 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Luísa C SousaFaculdade de Engenharia, Instituto de Engenharia Mecânica (IDMEC-Polo FEUP), Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal. lcsousa@fe.up.pt.
Catarina F CastroFaculdade de Engenharia, Instituto de Engenharia Mecânica (IDMEC-Polo FEUP), Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal.
Carlos C AntónioFaculdade de Engenharia, Instituto de Engenharia Mecânica (IDMEC-Polo FEUP), Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal.
André Miguel F SantosFaculdade de Engenharia, Instituto de Engenharia Mecânica e Gestão Industrial, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal.
Rosa Maria Dos SantosDepartamento de Neurologia, Faculdade de Medicina, Hospital São João, Universidade do Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal.
Pedro Miguel A C CastroDepartamento de Neurologia, Faculdade de Medicina, Hospital São João, Universidade do Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal.
Elsa AzevedoDepartamento de Neurologia, Faculdade de Medicina, Hospital São João, Universidade do Porto, Alameda Professor Hernâni Monteiro, 4200-319, Porto, Portugal.
João Manuel R S TavaresFaculdade de Engenharia, Instituto de Engenharia Mecânica e Gestão Industrial, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal.
Universidade do Porto · PTHospital de São João · PTInstitute of Mechanical Engineering and Industrial Mangement · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of using non-expensive ultrasound (US) image data together with computer fluid simulation to access various severities of carotid stenosis was inquired in this study. Subject-specific hemodynamic conditions were simulated using a developed finite element solver. Individual structured meshing of the common carotid artery (CCA) bifurcation was built from segmented longitudinal and cross-sectional US images; imposed boundary velocities were based on Doppler US measurements. Simulated hemodynamic parameters such as velocities, wall shear stress (WSS) and derived descriptors were able to predict disturbed flow conditions which play an important role in the development of local atherosclerotic plaques. Hemodynamic features from six individual CCA bifurcations were analyzed. High values of time-averaged WSS (TAWSS) were found at stenosis site. Low values of TAWSS were found at the bulb and at the carotid internal and external branches depending on the particular features of each patient. High oscillating shear index and relative residence time values assigned highly disturbed flows at the same artery surface regions that correlate only moderately with low TAWSS results. Based on clinic US examinations, results provide estimates of flow changes and forces at the carotid artery wall toward the link between hemodynamic behavior and stenosis pathophysiology.

Indexed as

Models, CardiovascularAgedAged, 80 and overCarotid ArteriesCarotid StenosisFemaleFinite Element AnalysisHemodynamicsHumansImage Processing, Computer-AssistedMaleMiddle AgedUltrasonography, Doppler

Identifiers

PMID25249277
OpenAlexW2139166989

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.