Evidence map›Paper›PMID 38905568›Full record

ArticleSurgical innovation2024

The Reconstructive Metaverse - Collaboration in Real-Time Shared Mixed Reality Environments for Microsurgical Reconstruction.

Fabian N Necker, David J Cholok, Mohammed S Shaheen, Marc J Fischer, Kyle Gifford, Trishia El Chemaly, Christoph W Leuze, Michael Scholz, Bruce L Daniel, Arash Momeni

Abstract read
In one paragraph

Article in Surgical innovation, 2024. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

10 authors.

Fabian N NeckerDepartment of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-4044-4330
David J CholokDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Mohammed S ShaheenDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, CA, USA.
Marc J FischerDepartment of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, CA, USA.
Kyle GiffordDepartment of Radiology, 3D and Quantitative Imaging, Stanford University School of Medicine, Stanford, CA, USA.
Trishia El ChemalyDepartment of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-4234-3082
Christoph W LeuzeDepartment of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, CA, USA.
Michael ScholzInstitute of Functional and Clinical Anatomy, Digital Anatomy Lab, Faculty of Medicine, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Bruce L DanielDepartment of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, CA, USA.
Arash MomeniDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, CA, USA.ORCID 0000-0002-6452-751X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plastic surgeons routinely use 3D-models in their clinical practice, from 3D-photography and surface imaging to 3D-segmentations from radiological scans. However, these models continue to be viewed on flattened 2D screens that do not enable an intuitive understanding of 3D-relationships and cause challenges regarding collaboration with colleagues. The Metaverse has been proposed as a new age of applications building on modern Mixed Reality headset technology that allows remote collaboration on virtual 3D-models in a shared physical-virtual space in real-time. We demonstrate the first use of the Metaverse in the context of reconstructive surgery, focusing on preoperative planning discussions and trainee education. Using a HoloLens headset with the Microsoft Mesh application, we performed planning sessions for 4 DIEP-flaps in our reconstructive metaverse on virtual patient-models segmented from routine CT angiography. In these sessions, surgeons discuss perforator anatomy and perforator selection strategies whilst comprehensively assessing the respective models. We demonstrate the workflow for a one-on-one interaction between an attending surgeon and a trainee in a video featuring both viewpoints as seen through the headset. We believe the Metaverse will provide novel opportunities to use the 3D-models that are already created in everyday plastic surgery practice in a more collaborative, immersive, accessible, and educational manner.

Indexed as

Imaging, Three-DimensionalMicrosurgeryPlastic Surgery ProceduresAugmented RealityHumansModels, AnatomicVirtual Realityabdominal flapsbreast reconstructionmetaversemicrosurgerymixed realitypreoperative planningresident education

Identifiers

PMID38905568
PMCPMC11411343

What OpenQuestion holds

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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.