Evidence map›Paper›PMID 22539149›Full record

Trial reportAnnals of biomedical engineering2012

Patient-specific multiscale modeling of blood flow for coronary artery bypass graft surgery.

Sethuraman Sankaran, Mahdi Esmaily Moghadam, Andrew M Kahn, Elaine E Tseng, Julius M Guccione, Alison L Marsden

Abstract readClinical Trial
In one paragraph

Trial report in Annals of biomedical engineering, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing papers in PubMed
–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

96 citing papers in PubMed.

  1. Trial
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  10. DIRECT MEDICAL IMAGE TO SIMULATION USING AUTO-SEGMENTATION AND POINT CLOUD-BASED CFD.Advances in computational science and engineering · 2025
    Article
  11. Article
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  17. Review
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  19. Hemodynamics and Wall Mechanics of Vascular Graft Failure.Arteriosclerosis, thrombosis, and vascular biology · 2024
    Review
  20. Review

36 more citing papers are in PubMed but not listed here.

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

6 authors.

Sethuraman SankaranDepartment of MAE, UCSD, La Jolla, CA 92093-0411, USA.
Mahdi Esmaily Moghadam
Andrew M Kahn
Elaine E Tseng
Julius M Guccione
Alison L Marsden

Funding

VIRTUAL TOOLS FOR CARDIAC VENTRICULAR REMODELING SURGERYR01HL077921 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUCCIONE, JULIUS MATTEO · 2006 to 2015
$3.4M
Simulation of Coronary Artery Bypass Graft and Surgical Ventricular RestorationR01HL086400 · NHLBI · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI GUCCIONE, JULIUS MATTEO · 2009 to 2010
$1.6M
Patient-specific simulations for thrombotic risk assessment in Kawasaki diseaseR21HL102596 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARSDEN, ALISON L · 2010 to 2011
$405k
NHLBI NIH HHS R01 HL077921NHLBI NIH HHS R01HL077921NHLBI NIH HHS R01 HL086400NHLBI NIH HHS R01HL086400NHLBI NIH HHS R21 HL102596PHS HHS RHL102596A
6 · The paper itself

Abstract

We present a computational framework for multiscale modeling and simulation of blood flow in coronary artery bypass graft (CABG) patients. Using this framework, only CT and non-invasive clinical measurements are required without the need to assume pressure and/or flow waveforms in the coronaries and we can capture global circulatory dynamics. We demonstrate this methodology in a case study of a patient with multiple CABGs. A patient-specific model of the blood vessels is constructed from CT image data to include the aorta, aortic branch vessels (brachiocephalic artery and carotids), the coronary arteries and multiple bypass grafts. The rest of the circulatory system is modeled using a lumped parameter network (LPN) 0 dimensional (0D) system comprised of resistances, capacitors (compliance), inductors (inertance), elastance and diodes (valves) that are tuned to match patient-specific clinical data. A finite element solver is used to compute blood flow and pressure in the 3D (3 dimensional) model, and this solver is implicitly coupled to the 0D LPN code at all inlets and outlets. By systematically parameterizing the graft geometry, we evaluate the influence of graft shape on the local hemodynamics, and global circulatory dynamics. Virtual manipulation of graft geometry is automated using Bezier splines and control points along the pathlines. Using this framework, we quantify wall shear stress, wall shear stress gradients and oscillatory shear index for different surgical geometries. We also compare pressures, flow rates and ventricular pressure-volume loops pre- and post-bypass graft surgery. We observe that PV loops do not change significantly after CABG but that both coronary perfusion and local hemodynamic parameters near the anastomosis region change substantially. Implications for future patient-specific optimization of CABG are discussed.

Indexed as

Coronary Artery BypassCoronary CirculationImage Processing, Computer-AssistedModels, CardiovascularAortaBlood Flow VelocityBlood PressureCoronary AngiographyCoronary VesselsHumansMaleMiddle Aged

Identifiers

PMID22539149
PMCPMC3570226

What OpenQuestion holds

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Registered trials

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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.