Evidence map›Paper›PMID 34583562›Full record

ArticleJournal of the Royal Society, Interface2021

A platform for high-fidelity patient-specific structural modelling of atherosclerotic arteries: from intravascular imaging to three-dimensional stress distributions.

Karim Kadry, Max L Olender, David Marlevi, Elazer R Edelman, Farhad R Nezami

Open access · greenAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 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

5 authors at 3 institutions in 2 countries.

Karim KadryInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-9520-0504
Max L OlenderInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0002-0936-5300
David MarleviInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Elazer R EdelmanInstitute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA, USA.
Farhad R NezamiThoracic and Cardiac Surgery Division, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.ORCID 0000-0002-4210-3177
Brigham and Women's Hospital · USMassachusetts Institute of Technology · USÉcole Polytechnique Fédérale de Lausanne · CH

Funding

Vascular Drug Delivery - Supplement for EquipmentR01GM049039 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI EDELMAN, ELAZER R · 1994 to 2019
$8.9M
NIGMS NIH HHS R01 GM049039
6 · The paper itself

Abstract

The pathophysiology of atherosclerotic lesions, including plaque rupture triggered by mechanical failure of the vessel wall, depends directly on the plaque morphology-modulated mechanical response. The complex interplay between lesion morphology and structural behaviour can be studied with high-fidelity computational modelling. However, construction of three-dimensional (3D) and heterogeneous models is challenging, with most previous work focusing on two-dimensional geometries or on single-material lesion compositions. Addressing these limitations, we here present a semi-automatic computational platform, leveraging clinical optical coherence tomography images to effectively reconstruct a 3D patient-specific multi-material model of atherosclerotic plaques, for which the mechanical response is obtained by structural finite-element simulations. To demonstrate the importance of including multi-material plaque components when recovering the mechanical response, a computational case study was conducted in which systematic variation of the intraplaque lipid and calcium was performed. The study demonstrated that the inclusion of various tissue components greatly affected the lesion mechanical response, illustrating the importance of multi-material formulations. This platform accordingly provides a viable foundation for studying how plaque micro-morphology affects plaque mechanical response, allowing for patient-specific assessments and extension into clinically relevant patient cohorts.

Indexed as

AtherosclerosisPlaque, AtheroscleroticArteriesHumansImaging, Three-DimensionalStress, MechanicalTomography, Optical Coherencecoronary atherosclerosisintravascular imagingmulti-material modelspersonalized medicinestructural mechanicsthree-dimensional reconstruction

Identifiers

PMID34583562
PMCPMC8479357
OpenAlexW3204408148

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.