Evidence map›Paper›PMID 30443429›Full record

ArticleHealthcare informatics research2018

Augmented Reality to Localize Individual Organ in Surgical Procedure.

Dongheon Lee, Jin Wook Yi, Jeeyoung Hong, Young Jun Chai, Hee Chan Kim, Hyoun-Joong Kong

Abstract read
In one paragraph

Article in Healthcare informatics research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. Pooled it
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  4. Review
  5. Review
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  8. Review
  9. Article
  10. Application of a Perception NeuronJournal of clinical medicine · 2019
    Article
  11. An Augmented Reality-Assisted Visualization System for Potential Applications in Prostate Biopsy.Proceedings of SPIE--the International Society for Optical Engineering
    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

6 authors.

Dongheon LeeBiomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Jin Wook YiDepartment of Surgery, Inha University Hospital, Incheon, Korea.
Jeeyoung HongBiomedical Research Institute, Seoul National University Hospital, Seoul, Korea.
Young Jun ChaiDepartment of Surgery, SMGSNU Boramae Medical Center, Seoul, Korea.
Hee Chan KimInstitute of Medical & Biological Engineering, Medical Research Center, Seoul National University College of Medicine, Seoul, Korea.
Hyoun-Joong KongDepartment of Biomedical Engineering, Chungnam National University Hospital, Chungnam National University College of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0001-5456-4862

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAugmented reality (AR) technology has become rapidly available and is suitable for various medical applications since it can provide effective visualization of intricate anatomical structures inside the human body. This paper describes the procedure to develop an AR app with Unity3D and Vuforia software development kit and publish it to a smartphone for the localization of critical tissues or organs that cannot be seen easily by the naked eye during surgery.

methodsIn this study, Vuforia version 6.5 integrated with the Unity Editor was installed on a desktop computer and configured to develop the Android AR app for the visualization of internal organs. Three-dimensional segmented human organs were extracted from a computerized tomography file using Seg3D software, and overlaid on a target body surface through the developed app with an artificial marker.

resultsTo aid beginners in using the AR technology for medical applications, a 3D model of the thyroid and surrounding structures was created from a thyroid cancer patient's DICOM file, and was visualized on the neck of a medical training mannequin through the developed AR app. The individual organs, including the thyroid, trachea, carotid artery, jugular vein, and esophagus were localized by the surgeon's Android smartphone.

conclusionsVuforia software can help even researchers, students, or surgeons who do not possess computer vision expertise to easily develop an AR app in a user-friendly manner and use it to visualize and localize critical internal organs without incision. It could allow AR technology to be extensively utilized for various medical applications.

Indexed as

Augmented RealityMedical EducationThree-Dimensional ImagingThyroidectomyVirtual Reality

Identifiers

PMID30443429
PMCPMC6230535

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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.