腹腔镜病变纵向缝合训练系统的验证。

Yibo Tang, Min Chen, Yuan Xing, Yu Wang, Honglei Wang, Yunpeng Ji
{"title":"腹腔镜病变纵向缝合训练系统的验证。","authors":"Yibo Tang,&nbsp;Min Chen,&nbsp;Yuan Xing,&nbsp;Yu Wang,&nbsp;Honglei Wang,&nbsp;Yunpeng Ji","doi":"10.1002/rcs.2594","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>A training system that allows the trainee to perform laparoscopic suturing in a realistic environment and measures the force applied to the tissue would be invaluable. This study aims to establish the construct and content validity of the training system we developed for the objective assessment of surgeons' skills.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>Ten novices, 6 residents, and 6 experts performed the suturing and knot-tying task using the training system. Ten force-related parameters were used to analyse the system's construct validity. Experts were invited to evaluate the content validity with questionnaires.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Eight parameters showed significant differences between the three groups. The construct validity results demonstrated that the system could distinguish the tissue handling ability of operators. The experts agreed that the system had excellent content validity with an average score of 4.71/5.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>The training system is likely valid for surgical training. It can realistically simulate surgical scenarios and evaluate the tissue handling ability of trainees.</p>\n </section>\n </div>","PeriodicalId":50311,"journal":{"name":"International Journal of Medical Robotics and Computer Assisted Surgery","volume":"20 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Validation of a training system for laparoscopic longitudinal suturing in lesion\",\"authors\":\"Yibo Tang,&nbsp;Min Chen,&nbsp;Yuan Xing,&nbsp;Yu Wang,&nbsp;Honglei Wang,&nbsp;Yunpeng Ji\",\"doi\":\"10.1002/rcs.2594\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Background</h3>\\n \\n <p>A training system that allows the trainee to perform laparoscopic suturing in a realistic environment and measures the force applied to the tissue would be invaluable. This study aims to establish the construct and content validity of the training system we developed for the objective assessment of surgeons' skills.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Ten novices, 6 residents, and 6 experts performed the suturing and knot-tying task using the training system. Ten force-related parameters were used to analyse the system's construct validity. Experts were invited to evaluate the content validity with questionnaires.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Eight parameters showed significant differences between the three groups. The construct validity results demonstrated that the system could distinguish the tissue handling ability of operators. The experts agreed that the system had excellent content validity with an average score of 4.71/5.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Conclusions</h3>\\n \\n <p>The training system is likely valid for surgical training. It can realistically simulate surgical scenarios and evaluate the tissue handling ability of trainees.</p>\\n </section>\\n </div>\",\"PeriodicalId\":50311,\"journal\":{\"name\":\"International Journal of Medical Robotics and Computer Assisted Surgery\",\"volume\":\"20 1\",\"pages\":\"\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-11-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Medical Robotics and Computer Assisted Surgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/rcs.2594\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"SURGERY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Medical Robotics and Computer Assisted Surgery","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/rcs.2594","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"SURGERY","Score":null,"Total":0}
引用次数: 0

摘要

背景:一个允许受训者在现实环境中进行腹腔镜缝合并测量施加在组织上的力的训练系统将是非常宝贵的。本研究旨在建立我们为客观评估外科医生技能而开发的培训系统的结构和内容有效性。方法:10名新手、6名住院医师和6名专家使用训练系统进行缝合和打结任务。使用10个与力相关的参数来分析系统的结构有效性。专家们被邀请通过问卷调查来评估内容的有效性。结果:8个参数在三组间有显著性差异。结构有效性结果表明,该系统能够区分操作员的组织处理能力。专家们一致认为,该系统具有良好的内容有效性,平均得分为4.71/5。结论:该培训系统可能适用于外科培训。它可以逼真地模拟手术场景,并评估受训人员的组织处理能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Validation of a training system for laparoscopic longitudinal suturing in lesion

Background

A training system that allows the trainee to perform laparoscopic suturing in a realistic environment and measures the force applied to the tissue would be invaluable. This study aims to establish the construct and content validity of the training system we developed for the objective assessment of surgeons' skills.

Methods

Ten novices, 6 residents, and 6 experts performed the suturing and knot-tying task using the training system. Ten force-related parameters were used to analyse the system's construct validity. Experts were invited to evaluate the content validity with questionnaires.

Results

Eight parameters showed significant differences between the three groups. The construct validity results demonstrated that the system could distinguish the tissue handling ability of operators. The experts agreed that the system had excellent content validity with an average score of 4.71/5.

Conclusions

The training system is likely valid for surgical training. It can realistically simulate surgical scenarios and evaluate the tissue handling ability of trainees.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.50
自引率
12.00%
发文量
131
审稿时长
6-12 weeks
期刊介绍: The International Journal of Medical Robotics and Computer Assisted Surgery provides a cross-disciplinary platform for presenting the latest developments in robotics and computer assisted technologies for medical applications. The journal publishes cutting-edge papers and expert reviews, complemented by commentaries, correspondence and conference highlights that stimulate discussion and exchange of ideas. Areas of interest include robotic surgery aids and systems, operative planning tools, medical imaging and visualisation, simulation and navigation, virtual reality, intuitive command and control systems, haptics and sensor technologies. In addition to research and surgical planning studies, the journal welcomes papers detailing clinical trials and applications of computer-assisted workflows and robotic systems in neurosurgery, urology, paediatric, orthopaedic, craniofacial, cardiovascular, thoraco-abdominal, musculoskeletal and visceral surgery. Articles providing critical analysis of clinical trials, assessment of the benefits and risks of the application of these technologies, commenting on ease of use, or addressing surgical education and training issues are also encouraged. The journal aims to foster a community that encompasses medical practitioners, researchers, and engineers and computer scientists developing robotic systems and computational tools in academic and commercial environments, with the intention of promoting and developing these exciting areas of medical technology.
期刊最新文献
Path Planning for Multiple Targets for Cannula Flexible Needle With Variable-Curvature Trajectories Multi-Objective Safety-Enhanced Path Planning for the Anterior Part of a Flexible Ureteroscope in Robot-Assisted Surgery Validation of an Augmented Reality Based Functional Method to Determine and Render the Hip Rotation Centre During Total Hip Arthroplasty Improved DeTraC Binary Coyote Net-Based Multiple Instance Learning for Predicting Lymph Node Metastasis of Breast Cancer From Whole-Slide Pathological Images DSA-Former: A Network of Hybrid Variable Structures for Liver and Liver Tumour Segmentation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1