Evidence map›Paper›PMID 32314227›Full record

ArticleInternational journal of computer assisted radiology and surgery2020

Augmented reality simulator for ultrasound-guided percutaneous renal access.

Yanyu Mu, David Hocking, Zhan Tao Wang, Gregory J Garvin, Roy Eagleson, Terry M Peters

Abstract read
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In one paragraph

Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Enhancing surgical navigation: a robust hand-eye calibration method for the Microsoft HoloLens 2.International journal of computer assisted radiology and surgery · 2025
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  3. Review
  4. Article
  5. Article
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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

6 authors.

Yanyu MuSchool of Biomedical Engineering, Western University, London, Canada. ymu2@uwo.ca.
David HockingDepartment of Medical Imaging, Western University, London, Canada.
Zhan Tao WangDivision of Urology, Western University, London, Canada.
Gregory J GarvinDepartment of Medical Imaging, Western University, London, Canada.
Roy EaglesonSchool of Biomedical Engineering, Western University, London, Canada.
Terry M PetersSchool of Biomedical Engineering, Western University, London, Canada.

Funding

Canadian Foundation for Innovation 20994CIHR 201409Natural Sciences and Engineering Research Council of Canada 2014 04504
6 · The paper itself

Abstract

purposeTraditional training for percutaneous renal access (PCA) relies on apprenticeship, which raises concerns about patient safety, limited training opportunities, and inconsistent quality of feedback. In this study, we proposed the development of a novel augmented reality (AR) simulator for ultrasound (US)-guided PCA and evaluated its validity and efficacy as a teaching tool.

methodsOur AR simulator allows the user to practice PCA on a silicone phantom using a tracked needle and US probe emulator under the guidance of simulated US on a tablet screen. 6 Expert and 24 novice participants were recruited to evaluate the efficacy of our simulator.

resultsExperts highly rated the realism and usefulness of our simulator, reflected by the average face validity score of 4.39 and content validity score of 4.53 on a 5-point Likert scale. Comparisons with a Mann-Whitney U test revealed significant differences [Formula: see text] in performances between the experts and novices on 6 out of 7 evaluation metrics, demonstrating strong construct validity. Furthermore, a paired T-test indicated significant performance improvements [Formula: see text] of the novices in both objective and subjective evaluation after training with our simulator.

conclusionOur cost-effective, flexible, and easily customizable AR training simulator can provide opportunities for trainees to acquire basic skills of US-guided PCA in a safe and stress-free environment. The effectiveness of our simulator is demonstrated through strong face, content, and construct validity, indicating its value as a novel training tool.

Indexed as

Augmented RealityClinical CompetenceUltrasonography, InterventionalComputer SimulationHumansKidneyReproducibility of ResultsUltrasonographyUser-Computer InterfaceAugmented realityPercutaneous renal accessTraining simulatorUltrasound-guided needle insertion

Identifiers

PMID32314227

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.