Evidence map›Paper›PMID 32393185›Full record

ArticleBMC gastroenterology2020

Production of ERCP training model using a 3D printing technique (with video).

Chang-Il Kwon, Yeonsun Shin, Jaeok Hong, Minje Im, Guk Bae Kim, Dong Hee Koh, Tae Jun Song, Won Suk Park, Jong Jin Hyun, Seok Jeong

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in BMC gastroenterology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

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

  1. Pooled it
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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

10 authors at 5 institutions in 2 countries.

Chang-Il KwonDigestive Disease Center, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, South Korea.
Yeonsun ShinGluck, Seoul, South Korea.
Jaeok HongGluck, Seoul, South Korea.
Minje ImAnymedi Inc., Seoul, South Korea.
Guk Bae KimAnymedi Inc., Seoul, South Korea.
Dong Hee KohResearch Group for Endoscopic Instruments and Stents, Korean Society of Gastrointestinal Endoscopy, Seoul, Korea.
Tae Jun SongResearch Group for Endoscopic Instruments and Stents, Korean Society of Gastrointestinal Endoscopy, Seoul, Korea.
Won Suk ParkResearch Group for Endoscopic Instruments and Stents, Korean Society of Gastrointestinal Endoscopy, Seoul, Korea.
Jong Jin HyunDivision of Gastroenterology and Hepatology, Korea University College of Medicine, Seoul, South Korea.
Seok JeongResearch Group for Endoscopic Instruments and Stents, Korean Society of Gastrointestinal Endoscopy, Seoul, Korea. inos@inha.ac.kr.ORCID http://orcid.org/0000-0001-6178-8338
American Society for Gastrointestinal Endoscopy · USCHA University Bundang Medical Center · KRHallym University · KRKorea University · KRThe Catholic University of Korea Daejeon St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundERCP training models are very different in terms of anatomical differences, ethical issues, storage problems, realistic tactile sensation, durability and portability. There is no easy way to select an optimized model for ERCP training. If the ERCP training model could be made as a soft silicone model using 3D printing technique, it would have numerous advantages over the models presented so far. The purpose of this study was to develop an optimized ERCP training model using a 3D printing technique and to try to find ways for implementing various practical techniques.

methodsAll organ parts of this model were fabricated using silicone molding techniques with 3D printing. Especially, various anatomy of the ampulla of Vater and common bile duct (CBD) were creatively designed for different diagnostic and therapeutic procedures. In order to manufacture each of the designed organ parts with silicone, a negative part had to be newly designed to produce the molder. The negative molders were 3D printed and then injection molding was applied to obtain organ parts in silicone material. The eight different types of ampulla and CBD were repeatedly utilized and replaced to the main system as a module-type.

resultsERCP training silicone model using 3D technique was semi-permanently used to repeat various ERCP procedures. All ERCP procedures using this model could be observed by real-time fluoroscopic examination as well as endoscopic examination simultaneously. Using different ampulla and CBD modules, basic biliary cannulation, difficult cannulation, stone extraction, mechanical lithotripsy, metal stent insertion, plastic stent insertion, and balloon dilation were successfully and repeatedly achieved. Endoscopic sphincterotomy was also performed on a specialized ampulla using a Vienna sausage. After repeat procedures and trainings, all parts of organs including the ampulla and CBD modules were not markedly damaged or deformed.

conclusionsWe made a specialized ERCP training silicon model with 3D printing technique. This model is durable, relatively cheap and easy to make, and thus allows the users to perform various specialized ERCP techniques, which increases its chances of being a good ERCP training model.

Indexed as

Models, AnatomicPrinting, Three-DimensionalAmpulla of VaterCholangiopancreatography, Endoscopic RetrogradeCommon Bile DuctGastroenterologyHumansSiliconSiliconCholangiopancreatography, endoscopic retrogradeEndoscopyPrintingThree-dimensionalTraining model

Identifiers

PMID32393185
PMCPMC7216470
OpenAlexW3026826178

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.