Evidence map›Paper›PMID 35754523›Full record

ArticleComputing in cardiology2021

Interactive 3D Human Heart Simulations on Segmented Human MRI Hearts.

John P Berman, Abouzar Kaboudian, Ilija Uzelac, Shahriar Iravanian, Tinen Iles, Paul A Iaizzo, Hyunkyung Lim, Scott Smolka, James Glimm, Elizabeth M Cherry and 1 more

Open access · greenAbstract read
In one paragraph

Article in Computing in cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

11 authors at 4 institutions in 1 country.

John P BermanSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Abouzar KaboudianSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Ilija UzelacSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Shahriar IravanianDivision of Cardiology, Emory University, Atlanta, GA, USA.
Tinen IlesMedical School, University of Minnesota, Minneapolis, MN, USA.
Paul A IaizzoMedical School, University of Minnesota, Minneapolis, MN, USA.
Hyunkyung LimStony Brook University, Stony Brook, NY.
Scott SmolkaStony Brook University, Stony Brook, NY.
James GlimmStony Brook University, Stony Brook, NY.
Elizabeth M CherrySchool of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
Flavio H FentonSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.
Georgia Institute of Technology · USStony Brook University · USUniversity of Minnesota Medical Center · USEmory University · US

Funding

Integrative High-Resolution Experimental and Multiscale Modeling of Arrhythmias to Optimize Low Energy Anti-fibrillation Pacing (LEAP)R01HL143450 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI Flavio H Fenton · 2018 to 2026
$3.2M
NHLBI NIH HHS R01 HL143450
6 · The paper itself

Abstract

Understanding cardiac arrhythmic mechanisms and developing new strategies to control and terminate them using computer simulations requires realistic physiological cell models with anatomically accurate heart structures. Furthermore, numerical simulations must be fast enough to study and validate model and structure parameters. Here, we present an interactive parallel approach for solving detailed cell dynamics in high-resolution human heart structures with a local PC's GPU. In vitro human heart MRI scans were manually segmented to produce 3D structures with anatomically realistic electrophysiology. The Abubu.js library was used to create an interactive code to solve the OVVR human ventricular cell model and the FDA extension of the model in the human MRI heart structures, allowing the simulation of reentrant waves and investigation of their dynamics in real time. Interactive simulations of a physiological cell model in a detailed anatomical human heart reveals propagation of waves through the fine structures of the trabeculae and pectinate muscle that can perpetuate arrhythmias, thereby giving new insights into effects that may need to be considered when planning ablation and other defibrillation methods.

Identifiers

PMID35754523
PMCPMC9228622
OpenAlexW4205477699

What OpenQuestion holds

Textmetadata
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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.