Evidence map›Paper›PMID 34100000›Full record

ArticleJTCVS techniques2021

Virtual reality three-dimensional echocardiographic imaging for planning surgical atrioventricular valve repair.

Kuberan Pushparajah, Ka Yee Kelly Chu, Shujie Deng, Gavin Wheeler, Alberto Gomez, Saleha Kabir, Julia A Schnabel, John M Simpson

Abstract read
In one paragraph

Article in JTCVS techniques, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Kuberan PushparajahSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Ka Yee Kelly ChuSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Shujie DengSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Gavin WheelerSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Alberto GomezSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
Saleha KabirDepartment of Congenital Heart Disease, Evelina London Children's Hospital, Guy's and St Thomas' National Health Service Foundation Trust, London, United Kingdom.
Julia A SchnabelSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.
John M SimpsonSchool of Biomedical Engineering & Imaging Sciences, King's College London, London, United Kingdom.

Funding

British Heart Foundation TA/F/20/210021Wellcome Trust
6 · The paper itself

Abstract

objectivesTo investigate how virtual reality (VR) imaging impacts decision-making in atrioventricular valve surgery.

methodsThis was a single-center retrospective study involving 15 children and adolescents, median age 6 years (range, 0.33-16) requiring surgical repair of the atrioventricular valves between the years 2016 and 2019. The patients' preoperative 3-dimesnional (3D) echocardiographic data were used to create 3D visualization in a VR application. Five pediatric cardiothoracic surgeons completed a questionnaire formulated to compare their surgical decisions regarding the cases after reviewing conventionally presented 2-dimesnional and 3D echocardiographic images and again after visualization of 3D echocardiograms using the VR platform. Finally, intraoperative findings were shared with surgeons to confirm assessment of the pathology.

resultsIn 67% of cases presented with VR, surgeons reported having "more" or "much more" confidence in their understanding of each patient's pathology and their surgical approach. In all but one case, surgeons were at least as confident after reviewing the VR compared with standard imaging. The case where surgeons reported to be least confident on VR had the worst technical quality of data used. After viewing patient cases on VR, surgeons reported that they would have made minor modifications to surgical approach in 53% and major modifications in 7% of cases.

conclusionsThe main impact of viewing imaging on VR is the improved clarity of the anatomical structures. Surgeons reported that this would have impacted the surgical approach in the majority of cases. Poor-quality 3D echocardiographic data were associated with a negative impact of VR visualization; thus. quality assessment of imaging is necessary before projecting in a VR format.

Indexed as

2D, 2-dimensional3D, 3-dimensional echocardiographyatrioventricular valvesAV, atrioventricularcongenital heart diseaseCT, computed tomographyevolving technologysurgeryTOE, transesophageal echocardiogramTTE, transthoracic echocardiogramvirtual realityVR, virtual reality

Identifiers

PMID34100000
PMCPMC8169455

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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.