Evidence map›Paper›PMID 31564072›Full record

ArticleJournal of biomedical optics2019

Characterization and validation of multimodal annihilation-gamma/near-infrared/visible laparoscopic system.

Seong H Song, Han G Kang, Young B Han, Ho-Young Lee, Dae H Jeong, Soo M Kim, Seong J Hong

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2019. 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
0.4field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  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

7 authors at 5 institutions in 3 countries.

Seong H SongEulji University, Department of Senior Healthcare, Daejon, Republic of Korea.
Han G KangEulji University, Department of Senior Healthcare, Daejon, Republic of Korea.
Young B HanEulji University, Department of Senior Healthcare, Daejon, Republic of Korea.
Ho-Young LeeSeoul National University, College of Medicine, Seoul, Republic of Korea.
Dae H JeongSeoul National University, Department of Chemistry Education, Seoul, Republic of Korea.
Soo M KimKorea Institute of Ocean Science and Technology, Busan, Republic of Korea.
Seong J HongEulji University, Department of Senior Healthcare, Daejon, Republic of Korea.
Eulji University · KRKorea Institute of Ocean Science and Technology · KRNational Institutes for Quantum and Radiological Science and Technology · JPNew Generation University College · ETSeoul National University of Education · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Minimally invasive robotic surgery using fluorescence-guided images with a video laparoscope has been widely used because of its advantages of small incision, fast recovery time, and efficiency. However, the penetration depth limitation of fluorescence is a disadvantage caused by the absorption and scattering in tissues and blood cells. If this limitation can be overcome by additional imaging modalities, the surgical procedure can be quite efficient and precise. High-energy annihilation-gamma photons have a stronger penetration capability than visible and fluorescence photons. To characterize and validate a multimodal annihilation-gamma/near-infrared (NIR)/visible laparoscopic imaging system, an internal detector composed of an annihilation-gamma detector and an optical system was assembled inside a surgical stainless pipe with an outer diameter of 15.8 mm and an external detector with a dimension of 100  ×  100  mm2 placed at the opposite side of the internal detector. Integrated images of 511-keV gamma rays, NIR fluorescence, and visible light were obtained simultaneously. The 511-keV gamma image could be clearly seen with the acquisition of 5 s, while NIR and visible images could be presented in real time. This multimodal system has the potential for improving the surgery time and the quality of patient care.

Indexed as

Equipment DesignIndocyanine GreenLaparoscopyMultimodal ImagingPhantoms, ImagingRobotic Surgical ProceduresSignal Processing, Computer-AssistedSpectroscopy, Near-InfraredIndocyanine Greenfluorescence imagingminimally invasive robotic surgerymultimodal imaging systempositron emission tomography

Identifiers

PMID31564072
PMCPMC6997671
OpenAlexW2975138558

What OpenQuestion holds

Textmetadata
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.