Evidence map›Paper›PMID 27866678›Full record

ArticleJournal of biomechanics2017

Patient-specific CFD models for intraventricular flow analysis from 3D ultrasound imaging: Comparison of three clinical cases.

A M Bavo, A M Pouch, J Degroote, J Vierendeels, J H Gorman, R C Gorman, P Segers

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Journal of biomechanics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

17 citing papers in PubMed, 38 citations in OpenAlex.

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  9. Clinical Impact of Computational Heart Valve Models.Materials (Basel, Switzerland) · 2022
    Review
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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

7 authors at 2 institutions in 2 countries.

A M BavoIBiTech-bioMMeda, ELIS Department, Ghent University, Ghent, Belgium. Electronic address: alessandra.bavo@ugent.be.
A M PouchGorman Cardiovascular Research Group, University of Pennsylvania, PA, United States.
J DegrooteDepartment of Flow, Heat and Combustion Mechanics, Ghent University, Belgium.
J VierendeelsDepartment of Flow, Heat and Combustion Mechanics, Ghent University, Belgium.
J H GormanGorman Cardiovascular Research Group, University of Pennsylvania, PA, United States.
R C GormanGorman Cardiovascular Research Group, University of Pennsylvania, PA, United States.
P SegersIBiTech-bioMMeda, ELIS Department, Ghent University, Ghent, Belgium.
Ghent University · BEUniversity of Pennsylvania · US

Funding

Surgery to Prevent Post Infarction Ventricular RemodelingR01HL063954 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C · 2001 to 2018
$9.8M
Quantitative Methods for Optimizing IMR RepairR01HL073021 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, SACKS, MICHAEL S · 2004 to 2022
$7.6M
Echocardiography to Predict Recurrent IMR After Surgical Mitral Valve ReplacementR01HL103723 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI GORMAN, ROBERT C, HUNG, JUDY W · 2011 to 2020
$5.3M
Monitoring Physiological Stress: A Novel Biophysical Approach for the Rapid DetecRC3HL103273 · NHLBI · BIOSENSE TECHNOLOGIES, INC. · PI RIEDER, RONALD J · 2010 to 2010
$2.0M
Fully Automated 4D Echocardiographic Mitral Valve Analysis for Surgical RepairF32HL119010 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI POUCH, ALISON MARIE · 2013 to 2015
$153k
NHLBI NIH HHS F32 HL119010NHLBI NIH HHS R01 HL063954NHLBI NIH HHS R01 HL073021NHLBI NIH HHS R01 HL103723NHLBI NIH HHS RC3 HL103273
6 · The paper itself

Abstract

backgroundAs the intracardiac flow field is affected by changes in shape and motility of the heart, intraventricular flow features can provide diagnostic indications. Ventricular flow patterns differ depending on the cardiac condition and the exploration of different clinical cases can provide insights into how flow fields alter in different pathologies.

methodsIn this study, we applied a patient-specific computational fluid dynamics model of the left ventricle and mitral valve, with prescribed moving boundaries based on transesophageal ultrasound images for three cardiac pathologies, to verify the abnormal flow patterns in impaired hearts. One case (P1) had normal ejection fraction but low stroke volume and cardiac output, P2 showed low stroke volume and reduced ejection fraction, P3 had a dilated ventricle and reduced ejection fraction.

resultsThe shape of the ventricle and mitral valve, together with the pathology influence the flow field in the left ventricle, leading to distinct flow features. Of particular interest is the pattern of the vortex formation and evolution, influenced by the valvular orifice and the ventricular shape. The base-to-apex pressure difference of maximum 2mmHg is consistent with reported data.

conclusionWe used a CFD model with prescribed boundary motion to describe the intraventricular flow field in three patients with impaired diastolic function. The calculated intraventricular flow dynamics are consistent with the diagnostic patient records and highlight the differences between the different cases. The integration of clinical images and computational techniques, therefore, allows for a deeper investigation intraventricular hemodynamics in patho-physiology.

Indexed as

Computer SimulationEchocardiography, Three-DimensionalHeart VentriclesHemodynamicsHumansMitral ValveModels, CardiovascularCFD with prescribed moving boundariesIntraventricular flowPatient-specific modelsVentricular vortex analysis

Identifiers

PMID27866678
PMCPMC5191945
OpenAlexW2553605785

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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.