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arxiv: 2604.07800 · v1 · submitted 2026-04-09 · ⚛️ physics.bio-ph

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Influence of Plaque Characteristics on Stent Biomechanical Outcomes - A Case Study on Double Kissing Crush Coronary Stenting

Authors on Pith no claims yet

Pith reviewed 2026-05-10 18:17 UTC · model grok-4.3

classification ⚛️ physics.bio-ph
keywords double kissing crushcoronary bifurcation stentingplaque characteristicsfinite element analysisstent biomechanicshemodynamicsmalappositionlumen restoration
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The pith

Plaque characteristics substantially affect the biomechanics and performance of double kissing crush coronary stenting.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper builds a computational biomechanical model of the double kissing crush stenting procedure to measure the effects of plaque on procedural results and stent performance. It runs simulations on a representative coronary bifurcation model in three versions: without plaque, with lipid plaque, and with fibrous plaque, using two stent platforms. The model tracks arterial wall stress, how well the lumen opens, malapposition of the stent, side branch clearance, and post-procedure blood flow metrics like high shear regions and low shear exposure. Results indicate that plaque reduces lumen restoration, raises wall stress, enlarges high shear areas, and for fibrous plaque increases low shear exposure, while also changing which stent performs better. This matters to readers because it shows that plaque-free models may not capture real-world behavior in patients with typical atherosclerotic plaques.

Core claim

The central claim is that plaque characteristics substantially affect DK-Crush biomechanics and modify stent behaviour. Specifically, plaque reduces the degree of lumen restoration and elevates arterial wall stress while creating larger regions of high shear rate in the blood flow; fibrous plaque further increases the area exposed to low time-averaged endothelial shear stress. Although malapposition and side branch ostium clearance are primarily determined by stent design, the presence of plaque changes the comparative performance between the Xience Sierra and Orsiro stents in ways that do not show up in models without plaque.

What carries the argument

Finite element analysis of the full double kissing crush sequence on a population-representative bifurcation geometry with and without different plaque types to assess deformation and hemodynamics.

If this is right

  • Incorporating plaque into models is essential for realistic evaluation of bifurcation stenting outcomes.
  • Stent malapposition and side branch clearance depend mainly on design rather than plaque.
  • Fibrous plaque increases exposure to low TAESS after deployment.
  • Plaque presence leads to larger high shear rate volumes in the lumen.
  • The relative performance of different stent platforms is modified by plaque characteristics.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • Patient-specific plaque modeling could improve predictions of individual stenting success.
  • The results suggest updating computational protocols to always include plaque for bifurcation cases.
  • Similar plaque influences might exist in other complex stenting procedures.
  • Validation against clinical data stratified by plaque type would strengthen the findings.

Load-bearing premise

The material properties chosen for lipid and fibrous plaque, the population-representative geometry, and the idealized deployment sequence yield mechanical and hemodynamic outcomes that represent clinical DK-Crush cases.

What would settle it

If clinical imaging or measurements after DK-Crush procedures show no substantial differences in wall stress or shear stress patterns between patients with and without significant plaque, the claim that plaque substantially affects biomechanics would be falsified.

read the original abstract

Background Double Kissing (DK) Crush is a two-stent technique for complex coronary bifurcation lesions, yet the biomechanical influence of plaque on its performance remains poorly understood. This study developed a computational biomechanical model of the DK-Crush procedure to quantify how plaque presence and composition affect procedural outcomes and the performance of Xience Sierra and Orsiro stents. Methods A population-representative coronary bifurcation was modelled with no plaque, lipid plaque, and fibrous plaque. The complete DK-Crush sequence was simulated using finite element analysis for both stent platforms. Mechanical outcomes included arterial wall stress, malapposition, side branch ostium clearance, and residual stenosis. Post-deployment hemodynamics was assessed using pulsatile computational fluid dynamics, quantifying high shear rate volume and lumen area exposed to low time-averaged endothelial shear stress (TAESS). Results Plaque presence and stiffness reduced lumen restoration, increased arterial wall stress, led to larger high shear rate regions and, for fibrous plaque, increased exposure to low TAESS. Malapposition and ostial clearance depended mainly on stent design. Plaque also altered the relative performance of the two platforms, revealing differences not observed in plaque-free models. Conclusions Plaque characteristics substantially affect DK-Crush biomechanics and modify stent behaviour. Incorporating plaque is therefore essential for realistic computational evaluation of bifurcation stenting.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

3 major / 2 minor

Summary. The manuscript presents a finite-element and CFD simulation of the complete double-kissing crush (DK-Crush) deployment sequence in a single population-representative coronary bifurcation geometry. Three plaque conditions (none, lipid, fibrous) are compared for two stent platforms (Xience Sierra, Orsiro). Mechanical endpoints comprise arterial wall stress, malapposition, side-branch ostial clearance and residual stenosis; hemodynamic endpoints comprise high-shear-rate volume and low-TAESS area. The central result is that plaque presence and stiffness alter lumen gain, wall stress, shear distributions and, importantly, the relative ranking of the two stents, leading to the claim that plaque must be incorporated for realistic computational evaluation of bifurcation stenting.

Significance. If the directional differences prove robust, the work would establish that plaque-free models can mask clinically relevant distinctions between stent platforms in complex bifurcation lesions. The simulation of the full DK-Crush sequence together with coupled solid-fluid analysis is a clear methodological strength. The finding that plaque can invert stent performance rankings supplies a concrete, falsifiable prediction that future bench or clinical studies could test.

major comments (3)
  1. [Methods] Methods: the constitutive parameters chosen for lipid and fibrous plaque, the single population-representative geometry, and the idealized balloon-inflation sequence are not accompanied by mesh-convergence data, sensitivity analysis, or comparison to OCT/IVUS or bench-top experiments. Because the claim that plaque 'substantially affects' outcomes and 'modifies stent behaviour' rests on these differences being representative rather than model artefacts, this omission is load-bearing for the central conclusion.
  2. [Results] Results: directional statements (e.g., 'increased arterial wall stress', 'larger high shear rate regions') are given without quantitative magnitudes, confidence intervals, or tables comparing the three plaque cases and two stents. Without these data it is impossible to judge whether the reported changes are large enough to support the assertion that plaque incorporation is 'essential'.
  3. [Abstract and Conclusions] Abstract/Conclusions: the statement that plaque 'altered the relative performance of the two platforms, revealing differences not observed in plaque-free models' is central yet remains qualitative. Explicit quantification of the ranking reversal (which stent is superior under which plaque condition) is required to evaluate the practical significance of the finding.
minor comments (2)
  1. [Abstract] The abstract would benefit from at least one numerical example (e.g., percentage change in peak wall stress or high-shear volume) to convey effect size.
  2. [Methods] Notation for time-averaged endothelial shear stress should be defined at first use and used consistently (TAESS vs. TAWSS).

Simulated Author's Rebuttal

3 responses · 0 unresolved

We thank the referee for the constructive and detailed review. The comments highlight important areas for improving methodological transparency, quantitative presentation, and clarity of the central claims. We address each major comment below and will revise the manuscript to incorporate the requested elements where feasible.

read point-by-point responses
  1. Referee: [Methods] the constitutive parameters chosen for lipid and fibrous plaque, the single population-representative geometry, and the idealized balloon-inflation sequence are not accompanied by mesh-convergence data, sensitivity analysis, or comparison to OCT/IVUS or bench-top experiments. Because the claim that plaque 'substantially affects' outcomes and 'modifies stent behaviour' rests on these differences being representative rather than model artefacts, this omission is load-bearing for the central conclusion.

    Authors: We agree that mesh-convergence and sensitivity data are important for robustness. In the revised manuscript we will add mesh-convergence results for the finite-element models, perform sensitivity analyses on plaque constitutive parameters (varying stiffness within literature ranges for lipid and fibrous tissue), and provide additional justification for the idealized balloon sequence drawn from standard clinical DK-Crush protocols. The geometry is explicitly described in the Methods as a population-representative bifurcation derived from averaged angiographic data; we will emphasize its case-study nature and discuss generalizability as a limitation. Direct side-by-side comparison with OCT/IVUS or bench-top experiments for this exact plaque-inclusive DK-Crush sequence is not feasible within the present computational study, but we will cite prior validations of similar bifurcation-stenting models and explicitly note the absence of such experimental corroboration as a limitation. revision: partial

  2. Referee: [Results] directional statements (e.g., 'increased arterial wall stress', 'larger high shear rate regions') are given without quantitative magnitudes, confidence intervals, or tables comparing the three plaque cases and two stents. Without these data it is impossible to judge whether the reported changes are large enough to support the assertion that plaque incorporation is 'essential'.

    Authors: We accept that quantitative detail is required. We will expand the Results section with specific numerical values for changes in arterial wall stress, high-shear-rate volume, low-TAESS area, malapposition, and residual stenosis across all plaque conditions and both stent platforms. Summary tables will be added to facilitate direct comparison. Because the simulations are deterministic, confidence intervals are not applicable; we will instead report absolute and relative differences to allow readers to assess magnitude and clinical relevance. revision: yes

  3. Referee: [Abstract and Conclusions] the statement that plaque 'altered the relative performance of the two platforms, revealing differences not observed in plaque-free models' is central yet remains qualitative. Explicit quantification of the ranking reversal (which stent is superior under which plaque condition) is required to evaluate the practical significance of the finding.

    Authors: We agree the claim is central and currently qualitative. We will revise both the Abstract and Conclusions to provide explicit quantification of the observed ranking changes. Using the simulation results, we will state, for each plaque condition, which platform performed better on which endpoints (e.g., malapposition versus wall stress versus ostial clearance) and note the specific contrasts with the plaque-free case. This will make the reversal concrete and falsifiable for future studies. revision: yes

Circularity Check

0 steps flagged

No circularity: simulation outputs are independent of input definitions

full rationale

The paper reports finite-element and CFD simulation results comparing DK-Crush outcomes across no-plaque, lipid-plaque, and fibrous-plaque cases using standard constitutive laws and a population-representative geometry. The central claim follows directly from these comparative outputs rather than from any self-referential definition, fitted parameter renamed as prediction, or load-bearing self-citation. No equations reduce the reported differences in wall stress, malapposition, or shear metrics to the inputs by construction.

Axiom & Free-Parameter Ledger

2 free parameters · 2 axioms · 0 invented entities

The model depends on standard biomechanical assumptions and literature-derived material properties for plaque and stents; no new entities are postulated.

free parameters (2)
  • Lipid and fibrous plaque stiffness and thickness
    Assigned values control deformation and stress results; source not stated in abstract.
  • Stent deployment pressures and balloon inflation sequence
    Directly affect malapposition and ostial clearance metrics.
axioms (2)
  • domain assumption Finite-element analysis with the chosen constitutive models accurately captures stent-artery-plaque interactions
    Core of the mechanical simulation step.
  • domain assumption Pulsatile CFD with the reported boundary conditions yields clinically relevant shear metrics
    Used to compute high-shear volume and low-TAESS exposure.

pith-pipeline@v0.9.0 · 5564 in / 1411 out tokens · 134167 ms · 2026-05-10T18:17:16.161839+00:00 · methodology

discussion (0)

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Reference graph

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