Evidence map›Paper›PMID 34754828›Full record

ArticleWorld journal of orthopedics2021

Mixed reality for visualization of orthopedic surgical anatomy.

Dimitrios Chytas, Vasileios S Nikolaou

Abstract readEditorial
In one paragraph

Article in World journal of orthopedics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Applications of Mixed Reality Technology in Orthopedics Surgery: A Pilot Study.Frontiers in bioengineering and biotechnology · 2022
    Article
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

2 authors.

Dimitrios ChytasDepartment of Physiotherapy, University of Peloponnese, Sparta 23100, Greece.
Vasileios S Nikolaou2Department of Orthopedics, National and Kapodistrian University of Athens, Athens 15124, Greece. vassilios.nikolaou@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the modern era, preoperative planning is substantially facilitated by artificial reality technologies, which permit a better understanding of patient anatomy, thus increasing the safety and accuracy of surgical interventions. In the field of orthopedic surgery, the increase in safety and accuracy improves treatment quality and orthopedic patient outcomes. Artificial reality technologies, which include virtual reality (VR), augmented reality (AR), and mixed reality (MR), use digital images obtained from computed tomography or magnetic resonance imaging. VR replaces the user's physical environment with one that is computer generated. AR and MR have been defined as technologies that permit the fusing of the physical with the virtual environment, enabling the user to interact with both physical and virtual objects. MR has been defined as a technology that, in contrast to AR, enables users to visualize the depth and perspective of the virtual models. We aimed to shed light on the role that MR can play in the visualization of orthopedic surgical anatomy. The literature suggests that MR could be a valuable tool in orthopedic surgeon's hands for visualization of the anatomy. However, we remark that confusion exists in the literature concerning the characteristics of MR. Thus, a more clear description of MR is needed in orthopedic research, so that the potential of this technology can be more deeply understood.

Indexed as

AnatomyArtificial reality technologiesAugmented realityMixed realityOrthopedic surgeryThree-dimensional visualization technologies

Identifiers

PMID34754828
PMCPMC8554346

What OpenQuestion holds

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LicenceCC BY-NC
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.