Evidence map›Paper›PMID 33759037›Full record

ArticleBiomechanics and modeling in mechanobiology2021

Multi-patient study for coronary vulnerable plaque model comparisons: 2D/3D and fluid-structure interaction simulations.

Qingyu Wang, Dalin Tang, Liang Wang, Akiko Meahara, David Molony, Habib Samady, Jie Zheng, Gary S Mintz, Gregg W Stone, Don P Giddens

Abstract readComparative Study
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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

10 authors.

Qingyu WangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Dalin TangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China. dtang@wpi.edu.ORCID http://orcid.org/0000-0002-6965-6417
Liang WangSchool of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.
Akiko MeaharaThe Cardiovascular Research Foundation, Columbia University, New York, NY, 10022, USA.
David MolonyDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA.
Habib SamadyDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA.
Jie ZhengMallinckrodt Institute of Radiology, Washington University, St. Louis, MO, 63110, USA.
Gary S MintzThe Cardiovascular Research Foundation, Columbia University, New York, NY, 10022, USA.
Gregg W StoneThe Cardiovascular Research Foundation, Columbia University, New York, NY, 10022, USA.
Don P GiddensDepartment of Medicine, Emory University School of Medicine, Atlanta, GA, 30307, USA.

Funding

Jiangsu Province Science and Technology Agency BE2016785National Sciences Foundation of China 11672001National Sciences Foundation of China 11972117Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX18_0156
6 · The paper itself

Abstract

Several image-based computational models have been used to perform mechanical analysis for atherosclerotic plaque progression and vulnerability investigations. However, differences of computational predictions from those models have not been quantified at multi-patient level. In vivo intravascular ultrasound (IVUS) coronary plaque data were acquired from seven patients. Seven 2D/3D models with/without circumferential shrink, cyclic bending and fluid-structure interactions (FSI) were constructed for the seven patients to perform model comparisons and quantify impact of 2D simplification, circumferential shrink, FSI and cyclic bending plaque wall stress/strain (PWS/PWSn) and flow shear stress (FSS) calculations. PWS/PWSn and FSS averages from seven patients (388 slices for 2D and 3D thin-layer models) were used for comparison. Compared to 2D models with shrink process, 2D models without shrink process overestimated PWS by 17.26%. PWS change at location with greatest curvature change from 3D FSI models with/without cyclic bending varied from 15.07% to 49.52% for the seven patients (average = 30.13%). Mean Max-FSS, Min-FSS and Ave-FSS from the flow-only models under maximum pressure condition were 4.02%, 11.29% and 5.45% higher than those from full FSI models with cycle bending, respectively. Mean PWS and PWSn differences between FSI and structure-only models were only 4.38% and 1.78%. Model differences had noticeable patient variations. FSI and flow-only model differences were greater for minimum FSS predictions, notable since low FSS is known to be related to plaque progression. Structure-only models could provide PWS/PWSn calculations as good approximations to FSI models for simplicity and time savings in calculation.

Indexed as

Imaging, Three-DimensionalAgedAnisotropyBiomechanical PhenomenaCoronary VesselsFemaleHeartHumansMaleMiddle AgedModels, CardiovascularPlaque, AtheroscleroticStress, MechanicalUltrasonographyModels comparisonPatient-specific modelVH-IVUSVulnerable plaque

Identifiers

PMID33759037
PMCPMC8298251

What Socratic holds

Textmetadata
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 Socratic graph.