Learning Retention of Thoracic Pedicle Screw Placement Using a High-Resolution Augmented Reality Simulator With Haptic Feedback

医学 触觉技术 胸椎 考试(生物学) 模拟 虚拟现实 医学物理学 计算机科学 外科 人工智能 生物 古生物学
作者
Cristián Luciano,Pat Banerjee,Brad Bellotte,G Michael Oh,Michael Lemole,Fady T. Charbel,Ben Roitberg
出处
期刊:Operative Neurosurgery [Lippincott Williams & Wilkins]
卷期号:69: ons14-ons19 被引量:105
标识
DOI:10.1227/neu.0b013e31821954ed
摘要

We evaluated the use of a part-task simulator with 3D and haptic feedback as a training tool for a common neurosurgical procedure--placement of thoracic pedicle screws.To evaluate the learning retention of thoracic pedicle screw placement on a high-performance augmented reality and haptic technology workstation.Fifty-one fellows and residents performed thoracic pedicle screw placement on the simulator. The virtual screws were drilled into a virtual patient's thoracic spine derived from a computed tomography data set of a real patient.With a 12.5% failure rate, a 2-proportion z test yielded P = .08. For performance accuracy, an aggregate Euclidean distance deviation from entry landmark on the pedicle and a similar deviation from the target landmark in the vertebral body yielded P = .04 from a 2-sample t test in which the rejected null hypothesis assumes no improvement in performance accuracy from the practice to the test sessions, and the alternative hypothesis assumes an improvement.The performance accuracy on the simulator was comparable to the accuracy reported in literature on recent retrospective evaluation of such placements. The failure rates indicated a minor drop from practice to test sessions, and also indicated a trend (P = .08) toward learning retention resulting in improvement from practice to test sessions. The performance accuracy showed a 15% mean score improvement and more than a 50% reduction in standard deviation from practice to test. It showed evidence (P = .04) of performance accuracy improvement from practice to test session.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
科研通AI5应助王艺霖采纳,获得30
2秒前
2秒前
谢丹完成签到 ,获得积分10
3秒前
在水一方应助木卫二采纳,获得10
3秒前
jack完成签到,获得积分10
3秒前
科研通AI5应助一天三个蛋采纳,获得10
4秒前
looking发布了新的文献求助10
5秒前
Joyful发布了新的文献求助10
5秒前
gc发布了新的文献求助10
8秒前
修辞完成签到 ,获得积分10
8秒前
不如吃茶去完成签到,获得积分10
10秒前
李爱国应助RYYYYYYY233采纳,获得10
11秒前
遇见多欢喜完成签到,获得积分10
11秒前
打打应助长安采纳,获得10
11秒前
丘比特应助小潘采纳,获得10
12秒前
13秒前
量子星尘发布了新的文献求助10
13秒前
13秒前
14秒前
15秒前
以心传心发布了新的文献求助10
16秒前
16秒前
18秒前
小鲨鱼完成签到,获得积分10
19秒前
19秒前
邹嘉锋发布了新的文献求助10
20秒前
21秒前
22秒前
小唐发布了新的文献求助10
24秒前
25秒前
香蕉觅云应助zhdjj采纳,获得10
26秒前
27秒前
乐乐应助闪闪火车采纳,获得30
27秒前
哦哦哦关注了科研通微信公众号
28秒前
六六完成签到 ,获得积分10
28秒前
香蕉觅云应助东方诩采纳,获得10
29秒前
HHH发布了新的文献求助10
30秒前
31秒前
勤奋凡之完成签到 ,获得积分10
32秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Comprehensive Methanol Science Production, Applications, and Emerging Technologies 1200
Architectural Corrosion and Critical Infrastructure 1000
Early Devonian echinoderms from Victoria (Rhombifera, Blastoidea and Ophiocistioidea) 1000
By R. Scott Kretchmar - Practical Philosophy of Sport and Physical Activity - 2nd (second) Edition: 2nd (second) Edition 666
Electrochemistry: Volume 17 600
Physical Chemistry: How Chemistry Works 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 4943184
求助须知:如何正确求助?哪些是违规求助? 4208424
关于积分的说明 13082873
捐赠科研通 3987813
什么是DOI,文献DOI怎么找? 2183287
邀请新用户注册赠送积分活动 1198911
关于科研通互助平台的介绍 1111438