Evidence map›Paper›PMID 33854076›Full record

ArticleScientific reports2021

Non-invasive characterization of complex coronary lesions.

Madhurima Vardhan, John Gounley, S James Chen, Eric C Chi, Andrew M Kahn, Jane A Leopold, Amanda Randles

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

22 citing papers in PubMed, 33 citations in OpenAlex.

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  12. Identifying When Steady-State Flow Simulations In Patient-Specific Coronaries Recapitulate Pulsatile Flow Dynamics.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
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  13. Systematic characterization and automated alignment of coronary tree geometries.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2024
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  15. Cloud Computing to Enable Wearable-Driven Longitudinal Hemodynamic Maps.International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing) · 2023
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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 6 institutions in 1 country.

Madhurima VardhanDepartment of Biomedical Engineering, Duke University, Durham, NC, 27705, USA.
John GounleyComputational Sciences and Engineering Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.
S James ChenDepartment of Medicine/Cardiology, University of Colorado AMC, Aurora, CO, 80045, USA.
Eric C ChiDepartment of Statistics, North Carolina State University, Raleigh, 27695, USA.
Andrew M KahnDivision of Cardiovascular Medicine, University of California San Diego, San Diego, 92103, USA.
Jane A LeopoldDivision of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.
Amanda RandlesDepartment of Biomedical Engineering, Duke University, Durham, NC, 27705, USA. amanda.randles@duke.edu.
Duke University · USBrigham and Women's Hospital · USNorth Carolina State University · USOak Ridge National Laboratory · USUniversity of California, San Diego · USUniversity of Colorado Denver · US

Funding

Toward coupled multiphysics models of hemodynamics on leadership systemsDP5OD019876 · OD · UNIVERSITY OF CALIF-LAWRNC LVRMR NAT LAB · PI RANDLES, AMANDA E · 2014 to 2018
$2.0M
Intergrated Endothelial Phenotyping to Redefine Pulmonary HypertensionU01HL125215 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI LEOPOLD, JANE A, WAXMAN, AARON B · 2014 to 2018
$1.7M
NHLBI NIH HHS U01 HL125215NIH HHS DP5 OD019876
6 · The paper itself

Abstract

Conventional invasive diagnostic imaging techniques do not adequately resolve complex Type B and C coronary lesions, which present unique challenges, require personalized treatment and result in worsened patient outcomes. These lesions are often excluded from large-scale non-invasive clinical trials and there does not exist a validated approach to characterize hemodynamic quantities and guide percutaneous intervention for such lesions. This work identifies key biomarkers that differentiate complex Type B and C lesions from simple Type A lesions by introducing and validating a coronary angiography-based computational fluid dynamic (CFD-CA) framework for intracoronary assessment in complex lesions at ultrahigh resolution. Among 14 patients selected in this study, 7 patients with Type B and C lesions were included in the complex lesion group including ostial, bifurcation, serial lesions and lesion where flow was supplied by collateral bed. Simple lesion group included 7 patients with lesions that were discrete, [Formula: see text] long and readily accessible. Intracoronary assessment was performed using CFD-CA framework and validated by comparing to clinically measured pressure-based index, such as FFR. Local pressure, endothelial shear stress (ESS) and velocity profiles were derived for all patients. We validates the accuracy of our CFD-CA framework and report excellent agreement with invasive measurements ([Formula: see text]). Ultra-high resolution achieved by the model enable physiological assessment in complex lesions and quantify hemodynamic metrics in all vessels up to 1mm in diameter. Importantly, we demonstrate that in contrast to traditional pressure-based metrics, there is a significant difference in the intracoronary hemodynamic forces, such as ESS, in complex lesions compared to simple lesions at both resting and hyperemic physiological states [n = 14, [Formula: see text]]. Higher ESS was observed in the complex lesion group ([Formula: see text] Pa) than in simple lesion group ([Formula: see text] Pa). Complex coronary lesions have higher ESS compared to simple lesions, such differential hemodynamic evaluation can provide much the needed insight into the increase in adverse outcomes for such patients and has incremental prognostic value over traditional pressure-based indices, such as FFR.

Indexed as

Computer SimulationCoronary AngiographyCoronary DiseaseDiagnosis, DifferentialHemodynamicsHumansRadiographic Image Interpretation, Computer-AssistedShear Strength

Identifiers

PMID33854076
PMCPMC8047040
OpenAlexW3156324902

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.