Evidence map›Paper›PMID 38919516›Full record

ArticlePlastic and reconstructive surgery. Global open2024

Suture Packaging as a Marker for Intraoperative Image Alignment in Augmented Reality on Mobile Devices.

Fabian N Necker, David J Cholok, Mohammed S Shaheen, Marc J Fischer, Kyle Gifford, Chris Le Castillo, Michael Scholz, Christoph W Leuze, 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.
Chris Le CastilloDepartment of Radiology, 3D and Quantitative Imaging, Stanford University School of Medicine, Stanford, Calif.
Michael ScholzInstitute of Functional and Clinical Anatomy, Digital Anatomy Lab, Faculty of Medicine, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.
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.
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

Preoperative vascular imaging has become standard practice in the planning of microsurgical breast reconstruction. Currently, translating perforator locations from radiological findings to a patient's abdomen is often not easy or intuitive. Techniques using three-dimensional printing or patient-specific guides have been introduced to superimpose anatomy onto the abdomen for reference. Augmented and mixed reality is currently actively investigated for perforator mapping by superimposing virtual models directly onto the patient. Most techniques have found only limited adoption due to complexity and price. Additionally, a critical step is aligning virtual models to patients. We propose repurposing suture packaging as an image tracking marker. Tracking markers allow quick and easy alignment of virtual models to the individual patient's anatomy. Current techniques are often complicated or expensive and limit intraoperative use of augmented reality models. Suture packs are sterile, readily available, and can be used to align abdominal models on the patients. Using an iPad, the augmented reality models automatically align in the correct position by using a suture pack as a tracking marker. Given the ubiquity of iPads, the combination of these devices with readily available suture packs will predictably lower the barrier to entry and utilization of this technology. Here, our workflow is presented along with its intraoperative utilization. Additionally, we investigated the accuracy of this technology.

Identifiers

PMID38919516
PMCPMC11199004

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.