Evidence map›Paper›PMID 33836448›Full record

ArticleComputers in biology and medicine2021

Impact of augmented-reality improvement in ablation catheter navigation as assessed by virtual-heart simulations of ventricular tachycardia ablation.

Adityo Prakosa, Michael K Southworth, Jennifer N Avari Silva, Jonathan R Silva, Natalia A Trayanova

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computers in biology and medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
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  4. Extended reality in cardiovascular care: a systematic review.European heart journal. Digital health · 2025
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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

5 authors at 2 institutions in 1 country.

Adityo PrakosaAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA. Electronic address: adityo.prakosa@jhu.edu.
Michael K SouthworthSentiAR, St. Louis, MO, USA.
Jennifer N Avari SilvaDepartment of Pediatrics, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Jonathan R SilvaDepartment of Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA.
Natalia A TrayanovaAlliance for Cardiovascular Diagnostic and Treatment Innovation, Johns Hopkins University, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Johns Hopkins University · USWashington University in St. Louis · US

Funding

Infarct-related Ventricular Tachycardia Mechanisms: From Micro to ClinicalR01HL142496 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TRAYANOVA, NATALIA A. · 2019 to 2022
$3.1M
Using Augmented Reality To Make Cardiac Ablation Procedures Simpler and SaferR44HL140896 · NHLBI · SENTIAR, INC. · PI SILVA, JENNIFER N, SILVA, JONATHAN R · 2018 to 2019
$2.2M
NHLBI NIH HHS R01 HL142496NHLBI NIH HHS R44 HL140896
6 · The paper itself

Abstract

backgroundRecently, an augmented reality (AR) solution allows the physician to place the ablation catheter at the designated lesion site more accurately during cardiac electrophysiology studies. The improvement in navigation accuracy may positively affect ventricular tachycardia (VT) ablation termination, however assessment of this in the clinic would be difficult. Novel personalized virtual heart technology enables non-invasive identification of optimal lesion targets for infarct-related VT. This study aims to evaluate the potential impact of such catheter navigation accuracy improvement in virtual VT ablations.

methods2 MRI-based virtual hearts with 2 in silico induced VTs (VT 1, VT 2) were included. VTs were terminated with virtual "ground truth" endocardial ablation lesions. 106 navigation error values that were previously assessed in a clinical study evaluating the improvement of ablation catheter navigation accuracy guided with AR (53 with, 53 without) were used to displace the "ground truth" ablation targets. The corresponding ablations were simulated based on these errors and VT termination for each simulation was assessed.

resultsIn 54 VT 1 ablation simulations, smaller error with AR significantly resulted in more VT termination (25) compared to the error without AR (16) (P < 0.01). In 52 VT 2 ablation simulations, no significant difference was observed from error with (11) and without AR (13) (P = 0.58). The substrate characteristic may impact the effect of improved accuracy to an improved VT termination.

conclusionVirtual heart shows that the increased catheter navigation accuracy provided by AR guidance can affect the VT termination.

Indexed as

Augmented RealityCatheter AblationTachycardia, VentricularCathetersHumansTreatment OutcomeAblationAugmented realityComputer simulationVentricular tachycardia

Identifiers

PMID33836448
PMCPMC8169616
OpenAlexW3140475451

What OpenQuestion holds

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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.