Evidence map›Paper›PMID 25931800›Full record

ArticleJournal of Korean medical science2015

Virtual Endoscopic and Laparoscopic Exploration of Stomach Wall Based on a Cadaver's Sectioned Images.

Koojoo Kwon, Dong Sun Shin, Byeong-Seok Shin, Hyung Seon Park, Sangho Lee, Hae Gwon Jang, Jin Seo Park, Min Suk Chung

Open access · goldAbstract read
In one paragraph

Article in Journal of Korean medical science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.7field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 5 institutions in 2 countries.

Koojoo KwonDepartment of Computer Science and Information Technology, Inha University, Incheon, Korea.ORCID 0000-0002-2467-5809
Dong Sun ShinDepartment of Orthopaedic Biomaterial Science, Osaka University Graduate School of Medicine, Osaka, Japan.ORCID 0000-0001-8251-9225
Byeong-Seok ShinDepartment of Computer Science and Information Technology, Inha University, Incheon, Korea.ORCID 0000-0001-7742-4846
Hyung Seon ParkKorea Institute of Science and Technology Information, Daejeon, Korea.ORCID 0000-0002-4307-3803
Sangho LeeKorea Institute of Science and Technology Information, Daejeon, Korea.ORCID 0000-0002-6127-9098
Hae Gwon JangGraduate School of Information and Communication, Ajou University, Suwon, Korea.ORCID 0000-0003-0496-8361
Jin Seo ParkDepartment of Anatomy, Dongguk University College of Medicine, Gyeongju, Korea.ORCID 0000-0001-7956-4148
Min Suk ChungDepartment of Anatomy, Ajou University School of Medicine, Suwon, Korea.ORCID 0000-0002-0527-9763
Ajou University · KRInha University · KRKorea Institute of Science & Technology Information · KRDongguk University · KRThe University of Osaka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We intended to determine that virtual endoscopy and laparoscopy of the stomach based on serially sectioned cadaver images is beneficial. Therefore, the outlines between the gastric wall and lumen were traced using the new female data of the Visible Korean to build a volume model. While the outlines were expanded at appropriate thicknesses, the stomach was observed endoscopically and laparoscopically in comparison with a chosen sectioned image. Four layers (mucosa, submucosa, muscular layer, and serosa) of the stomach were discernible by their proper colors in the sectioned images. All layers except the submucosa were identified in the endoscopic and laparoscopic views by using consistent colors. The stepwise expansion of the outlines revealed thickness of each layer as well as whether the thickness was uniform. Our ideas and the Visible Korean images could be a robust resource of virtual reality learning for medical students and clinicians.

Indexed as

GastroscopyLaparoscopyAdultCadaverFemaleHumansImaging, Three-DimensionalModels, AnatomicStomachEndoscopyImagingLaparoscopyStomachThree-DimensionalVisible Human Projects

Identifiers

PMID25931800
PMCPMC4414653
OpenAlexW2035571536

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.