Evidence map›Paper›PMID 36518353›Full record

ArticleDigital health

Validating the accuracy of a novel virtual reality platform for determining implant orientation in simulated primary total hip replacement.

Daniel Howgate, Michael Oliver, Julie Stebbins, Patrick Garfjeld Roberts, Ben Kendrick, Jonathan Rees, Stephen Taylor

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. Review
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

7 authors.

Daniel HowgateNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0003-4107-3305
Michael OliverThe MRC Weatherall Institute of Molecular Medicine, Oxford, UK.
Julie StebbinsNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford, UK.
Patrick Garfjeld RobertsNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford, UK.
Ben KendrickNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford, UK.
Jonathan ReesNuffield Department of Orthopaedics Rheumatology and Musculoskeletal Sciences, The Botnar Research Centre, University of Oxford, Oxford, UK.
Stephen TaylorThe MRC Weatherall Institute of Molecular Medicine, Oxford, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Accurate acetabular cup and femoral stem component orientation are critical for optimising patient outcomes, reducing complications and increasing component longevity following total hip replacement (THR). This study aimed to determine the accuracy of a novel virtual reality (VR) platform in assessing component orientation in a simulated THR model. Methods: The VR platform (HTC Vive Pro® system hardware) was compared against the validated Vicon® optical motion capture (MoCap) system. An acetabular cup and femoral stem were manually implanted across a range of orientations into pelvic and femur sawbones, respectively. Simultaneous readings of the acetabular cup operative anteversion (OA) and inclination (OI) and femoral stem alignment (FSA) and neck anteversion (FNA) were obtained from the VR and MoCap systems. Statistical analysis was performed using Pearson product-moment correlation coefficient (PPMCC) (Pearson's r) and linear regression (R Results: A total of 55 readings were obtained for the acetabular cup and 68 for the femoral stem model. The mean average differences in OA, OI, FSA and FNA between the systems were 3.44°, -0.01°, 0.01° and -0.04°, respectively. Strong positive correlations were demonstrated between both systems in OA, OI, FSA and FNA, with Pearson's r = 0.92, 0.94, 0.99 and 0.99, and adjusted R Conclusion: The novel VR platform is highly accurate and reliable in determining both acetabular cup and femoral stem component orientations in simulated THR models. This adaptable and cost-effective digital tracking platform may be modified for use in a range of simulated surgical training and educational purposes, particularly in orthopaedic surgery.

Indexed as

implant positioningmedical educationsurgical simulationsurgical trainingTotal hip replacementvirtual reality

Identifiers

PMID36518353
PMCPMC9742742

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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.