Evidence map›Paper›PMID 38025000›Full record

ReviewJournal of medical ultrasound

Imperatives of Mathematical Model of Arterial Blood Dynamics for Interpretation of Doppler Velocimetry: A Narrative Review.

Umar Abubakar, Anthony Chukwuka Ugwu, Godwin Christopher Ezike Mbah, Tertsegha Tivde, Mohammed Sidi, Geofery Luntsi, Kalu Ochie, Alhaji Modu Ali, Anas Mohammed

Open access · diamondAbstract readReview
In one paragraph

Review in Journal of medical ultrasound. 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, top 74% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

9 authors at 8 institutions in 1 country.

Umar AbubakarDepartment of Radiography, College of Health Sciences, Usmanu Danfodiyo University, Sokoto, Nigeria.
Anthony Chukwuka UgwuDepartment of Radiography and Radiation Sciences, Nnamdi Azikiwe University, Awka, Nigeria.
Godwin Christopher Ezike MbahDepartment of Mathematics, University of Nigeria, Nsukka, Nigeria.
Tertsegha TivdeDepartment of Mathematics, University Agriculture, Makurdi, Nigeria.
Mohammed SidiDepartment of Medical Radiography, College of Medical Sciences, Bayero University, Kano, Nigeria.
Geofery LuntsiDepartment of Medical Radiography, College of Medical Sciences, University of Maiduguri, Maiduguri, Nigeria.
Kalu OchieDepartment of Radiography and Radiation Sciences, Evangel University Akaeze, Akaeze, Ebonyi State, Nigeria.
Alhaji Modu AliDepartment of Radiology, Federal Neuro-Psychiatric Hospital, Maiduguri, Nigeria.
Anas MohammedDepartment of Radiology, Specialist Hospital Gombe, Maiduguri, Nigeria.
Bayero University Kano · NGFederal Neuro Psychiatric Hospital · NGGombe State University · NGNnamdi Azikiwe University · NGUniversity of Agriculture · NGUniversity of Maiduguri · NGUniversity of Nigeria · NGUsmanu Danfodiyo University · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinicians frequently study arterial Doppler velocimetric waveforms depicted by Doppler sonography of the kidneys, the heart, the brain, and the feto-maternal circulation to assess the well-being of the aforementioned vital organs. The waveform interpretation of the Doppler indices can be studied using a mathematical model. The developed models serve as teaching tools and for easy comprehension of the regulatory mechanism of the organs. It will also obtain accurate wall shear stress (WSS) and likely atherosclerotic sites can be predicted early. The aim of this review is to reveal the imperatives of mathematical models in the study of the physical interpretation of Doppler velocimetry. The models will explore sonographic Doppler velocimetry and computational fluid dynamics (CFD) in determining the segments of the arteries that are prone to the development of atheromatous plaque. It will be achieved by comparing and computing the measurement differences of the WSS. A thorough literature review was carried out between 1971 and 2021 on the mathematical modeling of blood dynamics and Doppler velocimetry of different blood vessels, across various electronic databases including NC AHEC Digital Library, PUBMED, ERIC, MEDLINE, Free Medical Journals, and EMBASE. The results of the literature search were presented using the PRISMA flow chat. The narrative review of the mathematical models of arterial blood dynamics is based on incompressible Navier-Stokes equations, the Windkessel model, and CFD. It was deduced that the blood flow velocity decreased with time across the varying frequency from 0.2Hz to 0.50Hz in the interlobar arterial channels. The review also revealed that adult humans' Doppler indices of the renal-interlobar artery agree with developed models of renal interlobar arterial blood dynamics. The mathematical model measurements of the great vessels matched the sonographic Doppler velocimetry with <15% variation. In our fast-paced world of epidemiological transition, the imperatives of mathematical modeling of arterial flow dynamics based on the Navier-Stokes equations to represent various physiologic and pathologic situations cannot be overstated. The practical consequences include the possibility of mathematical models to acquire precise WSS distribution and early detection of potential atherosclerotic sites during cardiovascular Doppler sonography.

Indexed as

Blood dynamicDoppler velocimetrymathematical model

Identifiers

PMID38025000
PMCPMC10668903
OpenAlexW4387067795

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.