Evidence map›Paper›PMID 38957720›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Leveraging the Apple Ecosystem: Easy Viewing and Sharing of Three-dimensional Perforator Visualizations via iPad/iPhone-based Augmented Reality.

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 Plastic and reconstructive surgery. Global open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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 NeckerFrom the Department of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, Calif.
David J CholokDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, Calif.
Mohammed S ShaheenDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, Calif.
Marc J FischerFrom the Department of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, Calif.
Kyle GiffordDepartment of Radiology, 3D and Quantitative Imaging, Stanford University School of Medicine, Stanford, Calif.
Trishia El ChemalyFrom the Department of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, Calif.
Christoph W LeuzeFrom the Department of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, Calif.
Michael ScholzInstitute of Functional and Clinical Anatomy, Digital Anatomy Lab, Faculty of Medicine, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
Bruce L DanielFrom the Department of Radiology, Stanford IMMERS (Incubator for Medical Mixed and Extended Reality at Stanford), Stanford University School of Medicine, Palo Alto, Calif.
Arash MomeniDepartment of Surgery, Division of Plastic and Reconstructive Surgery, Stanford University School of Medicine, Palo Alto, Calif.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce a novel technique using augmented reality (AR) on smartphones and tablets, making it possible for surgeons to review perforator anatomy in three dimensions on the go. Autologous breast reconstruction with abdominal flaps remains challenging due to the highly variable anatomy of the deep inferior epigastric artery. Computed tomography angiography has mitigated some but not all challenges. Previously, volume rendering and different headsets were used to enable better three-dimensional (3D) review for surgeons. However, surgeons have been dependent on others to provide 3D imaging data. Leveraging the ubiquity of Apple devices, our approach permits surgeons to review 3D models of deep inferior epigastric artery anatomy segmented from abdominal computed tomography angiography directly on their iPhone/iPad. Segmentation can be performed in common radiology software. The models are converted to the universal scene description zipped format, which allows immediate use on Apple devices without third-party software. They can be easily shared using secure, Health Insurance Portability and Accountability Act-compliant sharing services already provided by most hospitals. Surgeons can simply open the file on their mobile device to explore the images in 3D using "object mode" natively without additional applications or can switch to AR mode to pin the model in their real-world surroundings for intuitive exploration. We believe patient-specific 3D anatomy models are a powerful tool for intuitive understanding and communication of complex perforator anatomy and would be a valuable addition in routine clinical practice and education. Using this one-click solution on existing devices that is simple to implement, we hope to streamline the adoption of AR models by plastic surgeons.

Identifiers

PMID38957720
PMCPMC11216661

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.