Evidence map›Paper›PMID 34064205›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Design and Testing of Augmented Reality-Based Fluorescence Imaging Goggle for Intraoperative Imaging-Guided Surgery.

Seung Hyun Lee, Yu Hua Quan, Min Sub Kim, Ki Hyeok Kwon, Byeong Hyeon Choi, Hyun Koo Kim, Beop-Min Kim

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
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

7 authors at 1 institution in 1 country.

Seung Hyun LeeInstitute of Global Health Technology, College of Health Science, Korea University, Seoul 02841, Korea.ORCID 0000-0002-1109-6787
Yu Hua QuanDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.ORCID 0000-0002-6620-1388
Min Sub KimDepartment of Bio-convergence Engineering, College of Health Science, Korea University, Seoul 02841, Korea.
Ki Hyeok KwonDepartment of Interdisciplinary Bio/Micro System Technology, College of Engineering, Korea University, Seoul 02841, Korea.
Byeong Hyeon ChoiDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.
Hyun Koo KimDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul 02841, Korea.
Beop-Min KimDepartment of Bioengineering, College of Health Science, Korea University, Seoul 02841, Korea.
Korea University · KR

Funding

Technology Innovation Program funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea) 20000676
6 · The paper itself

Abstract

The different pathways between the position of a near-infrared camera and the user's eye limit the use of existing near-infrared fluorescence imaging systems for tumor margin assessments. By utilizing an optical system that precisely matches the near-infrared fluorescence image and the optical path of visible light, we developed an augmented reality (AR)-based fluorescence imaging system that provides users with a fluorescence image that matches the real-field, without requiring any additional algorithms. Commercial smart glasses, dichroic beam splitters, mirrors, and custom near-infrared cameras were employed to develop the proposed system, and each mount was designed and utilized. After its performance was assessed in the laboratory, preclinical experiments involving tumor detection and lung lobectomy in mice and rabbits by using indocyanine green (ICG) were conducted. The results showed that the proposed system provided a stable image of fluorescence that matched the actual site. In addition, preclinical experiments confirmed that the proposed system could be used to detect tumors using ICG and evaluate lung lobectomies. The AR-based intraoperative smart goggle system could detect fluorescence images for tumor margin assessments in animal models, without disrupting the surgical workflow in an operating room. Additionally, it was confirmed that, even when the system itself was distorted when worn, the fluorescence image consistently matched the actual site.

Indexed as

augmented realityfluorescence imageneuro-navigationsmart goggle

Identifiers

PMID34064205
PMCPMC8224390
OpenAlexW3162270517

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.