Creation of a three-dimensional printed spine model for training in pain procedures
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Koh, Jae Chul | - |
dc.contributor.author | Jang, Yoo Kyung | - |
dc.contributor.author | Seong, Hyunyoung | - |
dc.contributor.author | Lee, Kae Hong | - |
dc.contributor.author | Jun, Seungwoo | - |
dc.contributor.author | Choi, Jong Bum | - |
dc.date.accessioned | 2022-02-15T12:42:38Z | - |
dc.date.available | 2022-02-15T12:42:38Z | - |
dc.date.created | 2022-02-08 | - |
dc.date.issued | 2021-11 | - |
dc.identifier.issn | 0300-0605 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/135864 | - |
dc.description.abstract | Objective Technological developments have made it possible to create simulation models to educate clinicians on surgical techniques and patient preparation. In this study, we created an inexpensive lumbar spine phantom using patient data and analyzed its usefulness in clinical education. Methods This randomized comparative study used computed tomography and magnetic resonance imaging data from a single patient to print a three-dimensional (3D) bone framework and create a mold. The printed bones and structures made from the mold were placed in a simulation model that was used to train residents. The residents were divided into two groups: Group L, which received only an audiovisual lecture, and Group P, which received an additional 1 hour of training using the 3D phantom. The performance of both groups was evaluated using pretest and post-test analyses. Results Both the checklist and global rating scores increased after training in both groups. However, some variables improved significantly only in Group P. The overall satisfaction score was also higher in Group P than in Group L. Conclusions We have described a method by which medical doctors can create a spine simulation phantom and have demonstrated its efficiency for procedural education. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | SAGE PUBLICATIONS LTD | - |
dc.title | Creation of a three-dimensional printed spine model for training in pain procedures | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Koh, Jae Chul | - |
dc.identifier.doi | 10.1177/03000605211053281 | - |
dc.identifier.scopusid | 2-s2.0-85118781978 | - |
dc.identifier.wosid | 000716416300001 | - |
dc.identifier.bibliographicCitation | JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, v.49, no.11 | - |
dc.relation.isPartOf | JOURNAL OF INTERNATIONAL MEDICAL RESEARCH | - |
dc.citation.title | JOURNAL OF INTERNATIONAL MEDICAL RESEARCH | - |
dc.citation.volume | 49 | - |
dc.citation.number | 11 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Research & Experimental Medicine | - |
dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
dc.relation.journalWebOfScienceCategory | Medicine, Research & Experimental | - |
dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
dc.subject.keywordAuthor | Autonomic nerve block | - |
dc.subject.keywordAuthor | epidural anesthesia | - |
dc.subject.keywordAuthor | high-fidelity simulation training | - |
dc.subject.keywordAuthor | imaging | - |
dc.subject.keywordAuthor | lumbar vertebra | - |
dc.subject.keywordAuthor | magnetic resonance imaging | - |
dc.subject.keywordAuthor | phantom | - |
dc.subject.keywordAuthor | printing | - |
dc.subject.keywordAuthor | simulation training | - |
dc.subject.keywordAuthor | three-dimensional | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.