Evidence map›Paper›PMID 34307316›Full record

ArticleFrontiers in bioengineering and biotechnology2021

Effects of Choice of Medical Imaging Modalities on a Non-invasive Diagnostic and Monitoring Computational Framework for Patients With Complex Valvular, Vascular, and Ventricular Diseases Who Undergo Transcatheter Aortic Valve Replacement.

Melissa Baiocchi, Shirley Barsoum, Seyedvahid Khodaei, Jose M de la Torre Hernandez, Sydney E Valentino, Emily C Dunford, Maureen J MacDonald, Zahra Keshavarz-Motamed

Open access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2021. 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
2.8field-weighted citation impact, top 8% 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, 23 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 2 institutions in 2 countries.

Melissa BaiocchiDepartment of Mechanical Engineering, McMaster University, Hamilton, ON, Canada.
Shirley BarsoumDepartment of Mechanical Engineering, McMaster University, Hamilton, ON, Canada.
Seyedvahid KhodaeiDepartment of Mechanical Engineering, McMaster University, Hamilton, ON, Canada.
Jose M de la Torre HernandezHospital Universitario Marques de Valdecilla, IDIVAL, Santander, Spain.
Sydney E ValentinoDepartment of Kinesiology, McMaster University, Hamilton, ON, Canada.
Emily C DunfordDepartment of Kinesiology, McMaster University, Hamilton, ON, Canada.
Maureen J MacDonaldDepartment of Kinesiology, McMaster University, Hamilton, ON, Canada.
Zahra Keshavarz-MotamedDepartment of Mechanical Engineering, McMaster University, Hamilton, ON, Canada.
McMaster University · CAInstituto de Investigación Marqués de Valdecilla · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the high individual differences in the anatomy and pathophysiology of patients, planning individualized treatment requires patient-specific diagnosis. Indeed, hemodynamic quantification can be immensely valuable for accurate diagnosis, however, we still lack precise diagnostic methods for numerous cardiovascular diseases including complex (and mixed) valvular, vascular, and ventricular interactions (C3VI) which is a complicated situation made even more challenging in the face of other cardiovascular pathologies. Transcatheter aortic valve replacement (TAVR) is a new less invasive intervention and is a growing alternative for patients with aortic stenosis. In a recent paper, we developed a non-invasive and Doppler-based diagnostic and monitoring computational mechanics framework for C3VI, called C3VI-DE that uses input parameters measured reliably using Doppler echocardiography. In the present work, we have developed another computational-mechanics framework for C3VI (called C3VI-CT). C3VI-CT uses the same lumped-parameter model core as C3VI-DE but its input parameters are measured using computed tomography and a sphygmomanometer. Both frameworks can quantify: (1) global hemodynamics (metrics of cardiac function); (2) local hemodynamics (metrics of circulatory function). We compared accuracy of the results obtained using C3VI-DE and C3VI-CT against catheterization data (gold standard) using a C3VI dataset (

Indexed as

computational modelcomputed tomographydiagnostic tooldoppler echocardiographyglobal hemodynamicslocal hemodynamicsworkload

Identifiers

PMID34307316
PMCPMC8297508
OpenAlexW3180486093

What OpenQuestion holds

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LicenceCC BY
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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.