Evidence map›Paper›PMID 37985613›Full record

ArticleCardiovascular engineering and technology2024

Virtual Planning and Patient-Specific Graft Design for Aortic Repairs.

Seda Aslan, Xiaolong Liu, Qiyuan Wu, Paige Mass, Yue-Hin Loke, Jed Johnson, Joey Huddle, Laura Olivieri, Narutoshi Hibino, Axel Krieger

Abstract read
PubMed Publisher
In one paragraph

Article in Cardiovascular engineering and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

10 authors at 5 institutions in 1 country.

Seda AslanDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA. saslan2@jhu.edu.ORCID 0000-0002-5682-4848
Xiaolong LiuDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Qiyuan WuDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Paige MassDivision of Cardiology, Children's National Hospital, Washington, DC, USA.
Yue-Hin LokeDivision of Cardiology, Children's National Hospital, Washington, DC, USA.
Jed JohnsonNanofiber Solutions, Dublin, OH, USA.
Joey HuddleNanofiber Solutions, Dublin, OH, USA.
Laura OlivieriDivision of Cardiology, Children's National Hospital, Washington, DC, USA.
Narutoshi HibinoSection of Cardiac Surgery, Department of Surgery, The University of Chicago Medicine, Chicago, IL, USA.
Axel KriegerDepartment of Mechanical Engineering, Johns Hopkins University, 3400 North Charles Street, Baltimore, MD, 21218, USA.
Children's National · USJohns Hopkins University · USNanofiber Solutions (United States) · USTexas Tech University · 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 TechnologyR21HD090671 · NICHD · JOHNS HOPKINS UNIVERSITY · PI HIBINO, NARUTOSHI, KRIEGER, AXEL · 2017 to 2018
$484k
NIH HHS NIH R33HD090671NIH HHS R01HL143468NIH HHS R21HD090671
6 · The paper itself

Abstract

purposePatients presenting with coarctation of the aorta (CoA) may also suffer from co-existing transverse arch hypoplasia (TAH). Depending on the risks associated with the surgery and the severity of TAH, clinicians may decide to repair only CoA, and monitor the TAH to see if it improves as the patient grows. While acutely successful, eventually hemodynamics may become suboptimal if TAH is left untreated. The objective of this work aims to develop a patient-specific surgical planning framework for predicting and assessing postoperative outcomes of simple CoA repair and comprehensive repair of CoA and TAH.

methodsThe surgical planning framework consisted of virtual clamp placement, stenosis resection, and design and optimization of patient-specific aortic grafts that involved geometrical modeling of the graft and computational fluid dynamics (CFD) simulation for evaluating various surgical plans. Time-dependent CFD simulations were performed using Windkessel boundary conditions at the outlets that were obtained from patient-specific non-invasive pressure and flow data to predict hemodynamics before and after the virtual repairs. We applied the proposed framework to investigate optimal repairs for six patients (n = 6) diagnosed with both CoA and TAH. Design optimization was performed by creating a combination of a tubular graft and a waterslide patch to reconstruct the aortic arch. The surfaces of the designed graft were parameterized to optimize the shape.

resultsPeak systolic pressure drop (PSPD) and time-averaged wall shear stress (TAWSS) were used as performance metrics to evaluate surgical outcomes of various graft designs and implantation. The average PSPD improvements were 28% and 44% after the isolated CoA repair and comprehensive repair, respectively. Maximum values of TAWSS were decreased by 60% after CoA repair and further improved by 22% after the comprehensive repair. The oscillatory shear index was calculated and the values were confirmed to be in the normal range after the repairs.

conclusionThe results showed that the comprehensive repair outperforms the simple CoA repair and may be more advantageous in the long term in some patients. We demonstrated that the surgical planning and patient-specific flow simulations could potentially affect the selection and outcomes of aorta repairs.

Indexed as

Aortic CoarctationBlood Vessel ProsthesisBlood Vessel Prosthesis ImplantationHemodynamicsModels, CardiovascularPatient-Specific ModelingProsthesis DesignAorta, ThoracicAortographyClinical Decision-MakingComputed Tomography AngiographyFemaleHumansHydrodynamicsMaleSurgery, Computer-AssistedAorta repairCoarctationComputational fluid dynamicsSurgical planningTransverse arch hypoplasiaVirtual graft design

Identifiers

PMID37985613
OpenAlexW4388820493

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.