Accuracy of a computer-assisted planning and placement system for anatomical femoral tunnel positioning in anterior cruciate ligament reconstruction.

J W H Luites, A B Wymenga, L Blankevoort, D Eygendaal, N Verdonschot
{"title":"Accuracy of a computer-assisted planning and placement system for anatomical femoral tunnel positioning in anterior cruciate ligament reconstruction.","authors":"J W H Luites,&nbsp;A B Wymenga,&nbsp;L Blankevoort,&nbsp;D Eygendaal,&nbsp;N Verdonschot","doi":"10.1002/rcs.1548","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Femoral tunnel positioning is a difficult, but important factor in successful anterior cruciate ligament (ACL) reconstruction. Computer navigation can improve the anatomical planning procedure besides the tunnel placement procedure.</p><p><strong>Methods: </strong>The accuracy of the computer-assisted femoral tunnel positioning method for anatomical double bundle ACL-reconstruction with a three-dimensional template was determined with respect to both aspects for AM and PL bundles in 12 cadaveric knees.</p><p><strong>Results: </strong>The accuracy of the total tunnel positioning procedure was 2.7 mm (AM) and 3.2 mm (PL). These values consisted of the accuracies for planning (AM:2.9 mm; PL:3.2 mm) and for placement (about 0.4 mm). The template showed a systematic bias for the PL-position.</p><p><strong>Conclusions: </strong>The computer-assisted templating method showed high accuracy for tunnel placement and has promising capacity for application in anatomical tunnel planning. Improvement of the template will result in an accurate and robust navigation system for femoral tunnel positioning in ACL-reconstruction.</p>","PeriodicalId":75029,"journal":{"name":"The international journal of medical robotics + computer assisted surgery : MRCAS","volume":"10 4","pages":"438-46"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1002/rcs.1548","citationCount":"19","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The international journal of medical robotics + computer assisted surgery : MRCAS","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/rcs.1548","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2013/10/24 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 19

Abstract

Background: Femoral tunnel positioning is a difficult, but important factor in successful anterior cruciate ligament (ACL) reconstruction. Computer navigation can improve the anatomical planning procedure besides the tunnel placement procedure.

Methods: The accuracy of the computer-assisted femoral tunnel positioning method for anatomical double bundle ACL-reconstruction with a three-dimensional template was determined with respect to both aspects for AM and PL bundles in 12 cadaveric knees.

Results: The accuracy of the total tunnel positioning procedure was 2.7 mm (AM) and 3.2 mm (PL). These values consisted of the accuracies for planning (AM:2.9 mm; PL:3.2 mm) and for placement (about 0.4 mm). The template showed a systematic bias for the PL-position.

Conclusions: The computer-assisted templating method showed high accuracy for tunnel placement and has promising capacity for application in anatomical tunnel planning. Improvement of the template will result in an accurate and robust navigation system for femoral tunnel positioning in ACL-reconstruction.

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
前交叉韧带重建中股骨隧道解剖定位的计算机辅助规划与放置系统的准确性。
背景:股骨隧道定位是前交叉韧带(ACL)重建成功的一个困难但重要的因素。计算机导航除了可以改进隧道放置程序外,还可以改进解剖规划程序。方法:对12例尸体膝关节的AM束和PL束进行三维模板解剖双束acl重建的计算机辅助股骨隧道定位方法的准确性进行测定。结果:全隧道定位精度分别为2.7 mm (AM)和3.2 mm (PL)。这些值包括规划精度(AM:2.9 mm;外径:3.2毫米)和放置(约0.4毫米)。模板显示出对pl位置的系统性偏差。结论:计算机辅助模板法隧道定位精度高,在隧道解剖规划中具有广阔的应用前景。该模板的改进将为acl重建中股骨隧道定位提供准确、稳健的导航系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
5.30
自引率
0.00%
发文量
0
期刊最新文献
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. Comparison of robotic and open central pancreatectomy. Full coverage path planning algorithm for MRgFUS therapy A deep learning framework for real‐time 3D model registration in robot‐assisted laparoscopic surgery
×
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