Evidence map›Paper›PMID 32057454›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2020

Role of surgeon intuition and computer-aided design in Fontan optimization: A computational fluid dynamics simulation study.

Yue-Hin Loke, Byeol Kim, Paige Mass, Justin D Opfermann, Narutoshi Hibino, Axel Krieger, Laura Olivieri

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

15 citing papers in PubMed, 28 citations in OpenAlex.

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  8. Virtual Planning and Patient-Specific Graft Design for Aortic Repairs.Cardiovascular engineering and technology · 2024
    Article
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  10. A computational study of aortic reconstruction in single ventricle patients.Biomechanics and modeling in mechanobiology · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Yue-Hin LokeDivision of Cardiology, Children's National Hospital, Washington, DC. Electronic address: yloke@childrensnational.org.
Byeol KimDepartment of Mechanical Engineering, University of Maryland, College Park, Md.
Paige MassSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.
Justin D OpfermannSheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.
Narutoshi HibinoSection of Cardiac Surgery, Department of Surgery, University of Chicago/Advocate Children's Hospital, Chicago, Ill.
Axel KriegerDepartment of Mechanical Engineering, University of Maryland, College Park, Md.
Laura OlivieriDivision of Cardiology, Children's National Hospital, Washington, DC; Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Hospital, Washington, DC.
Children's National · USUniversity of Maryland, College Park · USUniversity of Chicago · US

Funding

Patient specific 3D printed tissue engineered vascular graft for aortic reconstruction designed by artificial intelligence algorithm.R01HL143468 · NHLBI · UNIVERSITY OF CHICAGO · PI FUGE, MARK, HIBINO, NARUTOSHI · 2018 to 2021
$2.7M
Patient Specific Tissue Engineered Vascular Graft Creation Using 3D Printing TechnologyR33HD090671 · NICHD · UNIVERSITY OF CHICAGO · PI HIBINO, NARUTOSHI, KRIEGER, AXEL · 2019 to 2021
$1.2M
Patient Specific Tissue Engineered Vascular Graft Creation Using 3D Printing TechnologyR21HD090671 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HIBINO, NARUTOSHI, KRIEGER, AXEL · 2017 to 2018
$484k
NHLBI NIH HHS R01 HL143468NICHD NIH HHS R21 HD090671NICHD NIH HHS R33 HD090671
6 · The paper itself

Abstract

objectiveCustomized Fontan designs, generated by computer-aided design (CAD) and optimized by computational fluid dynamics simulations, can lead to novel, patient-specific Fontan conduits unconstrained by off-the-shelf grafts. The relative contributions of both surgical expertise and CAD to Fontan optimization have not been addressed. In this study, we assessed hemodynamic performance of Fontans designed by both surgeon's unconstrained modeling (SUM) and by CAD.

methodsTen cardiac magnetic resonance imaging datasets were used to create 3-dimensional (3D) models of Fontans. Baseline computational fluid dynamics simulations assessed Fontan indexed power loss (iPL), hepatic flow distribution, and percentage of conduit surface area with abnormally low wall shear stress for venous flow (<1 dyne/cm

resultsEight Fontans were redesigned by SUM and CAD methods. Both SUM and CAD redesigns met iPL thresholds. SUM had lower iPL, whereas CAD demonstrated balanced hepatic flow distribution and lower wall shear stress percentage. Wall shear stress percentage shared an inverse relationship with iPL, preventing oversized Fontan designs.

conclusionsCustomized Fontan conduits with low iPL can be created by either a surgeon or CAD. CAD can also improve hepatic flow distribution and prevent oversized Fontan designs. Future studies should investigate workflows that combine SUM and CAD to optimize Fontan conduits.

Indexed as

Computer-Aided DesignFontan ProcedureModels, CardiovascularPatient-Specific ModelingSurgeonsHemodynamicsHumansIntuitionMagnetic Resonance ImagingPrinting, Three-Dimensionalclay modelingcomputational fluid dynamicscomputer-aided designFontan operation

Identifiers

PMID32057454
PMCPMC7888288
OpenAlexW2999515245

What OpenQuestion holds

Textmetadata
LicenceTDM
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.