Evidence map›Paper›PMID 38457932›Full record

ArticleComputers in biology and medicine2024

Patient-specific analysis of bicuspid aortic valve hemodynamics using a fully coupled fluid-structure interaction model.

Tongran Qin, Wenbin Mao, Andrés Caballero, Norihiko Kamioka, Stamatios Lerakis, Santiago Lain, John Elefteriades, Liang Liang, Wei Sun

Open access · greenAbstract read
In one paragraph

Article in Computers in biology and medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
4.0field-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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. AI-Powered Multimodal Modeling of Personalized Hemodynamics in Aortic Stenosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  4. Review
  5. Review
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 6 institutions in 2 countries.

Tongran QinTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Sutra Medical Inc, Lake Forest, CA, USA.
Wenbin MaoMechanical Engineering, University of South Florida, FL, USA.
Andrés CaballeroTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; PAI+ Research Group, Mechanical Engineering Department, Universidad Autónoma de Occidente, Cali, Colombia.
Norihiko KamiokaEmory University, School of Medicine, Atlanta, GA, USA.
Stamatios LerakisEmory University, School of Medicine, Atlanta, GA, USA; Division of Cardiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Santiago LainPAI+ Research Group, Mechanical Engineering Department, Universidad Autónoma de Occidente, Cali, Colombia.
John ElefteriadesAortic Institute, School of Medicine, Yale University, New Haven, CT, USA.
Liang LiangDepartment of Computer Science, University of Miami, Coral Gables, FL, USA.
Wei SunTissue Mechanics Laboratory, The Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA; Sutra Medical Inc, Lake Forest, CA, USA. Electronic address: sunnweii@gmail.com.
Georgia Institute of Technology · USEmory University · USUniversidad Autónoma de Occidente · COUniversity of Miami · USUniversity of South Florida · USYale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Machine learning-based biomechanical analysis for thoracic aortic aneurysm rupture risk assessmentR01HL158829 · NHLBI · UNIVERSITY OF MIAMI CORAL GABLES · PI Liang Liang · 2022 to 2026
$2.6M
A novel computing framework to automatically process cardiac valve image data and predict treatment outcomesR01HL142036 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI GLEASON, RUDOLPH L · 2018 to 2021
$1.5M
American Heart Association-American Stroke Association 19CDA34660003NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL142036NHLBI NIH HHS R01 HL158829
6 · The paper itself

Abstract

Bicuspid aortic valve (BAV), the most common congenital heart disease, is prone to develop significant valvular dysfunction and aortic wall abnormalities such as ascending aortic aneurysm. Growing evidence has suggested that abnormal BAV hemodynamics could contribute to disease progression. In order to investigate BAV hemodynamics, we performed 3D patient-specific fluid-structure interaction (FSI) simulations with fully coupled blood flow dynamics and valve motion throughout the cardiac cycle. Results showed that the hemodynamics during systole can be characterized by a systolic jet and two counter-rotating recirculation vortices. At peak systole, the jet was usually eccentric, with asymmetric recirculation vortices and helical flow motion in the ascending aorta. The flow structure at peak systole was quantified using the vorticity, flow rate reversal ratio and local normalized helicity (LNH) at four locations from the aortic root to the ascending aorta. The systolic jet was evaluated with the peak velocity, normalized flow displacement, and jet angle. It was found that peak velocity and normalized flow displacement (rather than jet angle) gave a strong correlation with the vorticity and LNH in the ascending aorta, which suggests that these two metrics could be used for clinical noninvasive evaluation of abnormal blood flow patterns in BAV patients.

Indexed as

Bicuspid Aortic Valve DiseaseHeart Valve DiseasesAortaAortic ValveHemodynamicsHumansAortic diseaseAscending aortaBicuspid aortic valveFluid-structure interactionHelical flowHemodynamicsPatient-specific modeling

Identifiers

PMID38457932
PMCPMC11498348
OpenAlexW4391933685

What OpenQuestion holds

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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.