Evidence map›Paper›PMID 36995512›Full record

ArticleInternational journal of computer assisted radiology and surgery2023

Comparison of 2D and autostereoscopic 3D visualization during mixed reality simulation.

Viktor Vörös, Jef De Smet, Mouloud Ourak, Vladimir Poliakov, Jan Deprest, Tom Kimpe, Emmanuel Vander Poorten

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2023. 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
1.1field-weighted citation impact, top 30% 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, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 3 institutions in 1 country.

Viktor VörösDepartment of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3000, Leuven, Belgium. viktor.voros@kuleuven.be.ORCID http://orcid.org/0000-0003-1426-4309
Jef De SmetDepartment of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1515-1202
Mouloud OurakDepartment of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0003-4885-8965
Vladimir PoliakovDepartment of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0003-4179-4014
Jan DeprestDepartment of Obstetrics and Gynaecology, UZ Leuven, Herestraat 49, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4920-945X
Tom KimpeHealthcare Division, Barco NV, Beneluxpark 21, 8500, Kortrijk, Belgium.ORCID http://orcid.org/0000-0003-2117-0343
Emmanuel Vander PoortenDepartment of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0003-3764-9551
KU Leuven · BEBarco (Belgium) · BEUniversitair Ziekenhuis Leuven · BE

Funding

Agentschap Innoveren en Ondernemen HBC.2020.2246
6 · The paper itself

Abstract

purposeIn general minimally invasive surgical procedures, surgeons are tied to 2D visualization, leading to the loss of depth perception. This can lead to large mental load for the surgeons and may be responsible for the long learning curve. To restore the sense of depth, this study investigated the use and benefits of an autostereoscopic (3D) display during a simulated laparoscopic task.

methodsA mixed reality simulator was developed for comparing the performance of participants while using 2D and autostereoscopic 3D visualization. An electromagnetic sensor was mounted on a physical instrument, and its pose was mapped to the virtual instrument. The virtual scene was developed using Simulation Open Framework Architecture (SOFA). Finite element modeling was used to calculate interaction forces, which were then mapped to visual soft tissue deformation.

resultsTen non-expert participants completed a virtual laparoscopic task, where the subjects were asked to contact eighteen target areas distributed on the surface of the vagina, both in 2D and 3D. Results showed an improvement with 3D vision in task completion time (-16%), total traveled distance (-25%) and errors made (-14%). There was no difference in the average contact forces between the vagina and the instrument. Only the difference in time and forces were shown to be statistically significant.

conclusionOverall, autostereoscopic 3D showed superiority over conventional 2D visualization. The traveled trajectory increased in 2D as the instrument was retracted more between the targets to avoid contact. The 2D and 3D deformation upon contact seems not to contribute differently to force perception. However, the participants only had visual feedback, but no haptic feedback. Therefore, it could be interesting to include haptic feedback in a future study.

Indexed as

Augmented RealityLaparoscopyClinical CompetenceComputer SimulationFemaleHumansImaging, Three-DimensionalLearning Curve2D/3D ComparisonAutostereoscopyMinimally invasive surgeryVR simulation

Identifiers

PMID36995512
OpenAlexW4361280574

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.