Literature DB >> 19464848

Computer-assisted hip resurfacing using individualized drill templates.

Manuela Kunz1, John F Rudan, George L Xenoyannis, Randy E Ellis.   

Abstract

The goal of this study was to investigate whether individualized templates can provide an accurate and reliable computer-assisted system for femoral component placement during hip resurfacing. A consecutive series of 45 patients were examined. Using a 3-dimensional computer model of the femur, the drill trajectory for the central pin of the stem was planned. A surface-matched plastic drilling template was created using a rapid prototyping machine. This patient-specific drill guide was intraoperatively positioned on the patient anatomy, the central pin was drilled into the femoral neck, and the accuracy of the placement with respect to the planned central pin alignment was measured. With mean deviation between planned and actual central pin alignment of 1.14 degrees in varus and 4.49 degrees in retroversion, individualized templates were as accurate as conventional computer-assisted hip resurfacing. Copyright 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19464848     DOI: 10.1016/j.arth.2009.03.023

Source DB:  PubMed          Journal:  J Arthroplasty        ISSN: 0883-5403            Impact factor:   4.757


  22 in total

1.  A laboratory comparison of computer navigation and individualized guides for distal radius osteotomy.

Authors:  Burton Ma; Manuela Kunz; Braden Gammon; Randy E Ellis; David R Pichora
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-12-10       Impact factor: 2.924

2.  Application of computer-aided design and 3D-printed navigation template in Locking Compression Pediatric Hip PlateΤΜ placement for pediatric hip disease.

Authors:  Pengfei Zheng; Qingqiang Yao; Peng Xu; Liming Wang
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-02-11       Impact factor: 2.924

3.  Computer-assisted hip resurfacing planning using Lie group shape models.

Authors:  Mohamed S Hefny; John F Rudan; Randy E Ellis
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-05-01       Impact factor: 2.924

4.  Electromagnetically tracked personalized templates for surgical navigation.

Authors:  Andrew W L Dickinson; Michelle L Zec; David R Pichora; Brian J Rasquinha; Randy E Ellis
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-03-22       Impact factor: 2.924

5.  Image-guided placement of the Bonebridge™ without surgical navigation equipment.

Authors:  Byunghyun Cho; Nozomu Matsumoto; Megumu Mori; Shizuo Komune; Makoto Hashizume
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-01-07       Impact factor: 2.924

6.  The influence of osteophyte depiction in CT for patient-specific guided hip resurfacing procedures.

Authors:  M Kunz; S Balaketheeswaran; R E Ellis; J F Rudan
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-04-11       Impact factor: 2.924

7.  Computer-assisted mosaic arthroplasty using patient-specific instrument guides.

Authors:  Manuela Kunz; Stephen D Waldman; John F Rudan; Davide D Bardana; A James Stewart
Journal:  Knee Surg Sports Traumatol Arthrosc       Date:  2011-08-16       Impact factor: 4.342

8.  Immobilization and catheter guidance for breast brachytherapy.

Authors:  A Pompeu-Robinson; M Kunz; C B Falkson; L J Schreiner; C P Joshi; G Fichtinger
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-05-19       Impact factor: 2.924

9.  Medical 3D Printing Cost-Savings in Orthopedic and Maxillofacial Surgery: Cost Analysis of Operating Room Time Saved with 3D Printed Anatomic Models and Surgical Guides.

Authors:  David H Ballard; Patrick Mills; Richard Duszak; Jeffery A Weisman; Frank J Rybicki; Pamela K Woodard
Journal:  Acad Radiol       Date:  2019-09-18       Impact factor: 3.173

10.  CUSTOMIZED GUIDE FOR FEMORAL COMPONENT POSITIONING IN HIP RESURFACING ARTHROPLASTY.

Authors:  Chaturong Pornrattanamaneewong; Rapeepat Narkbunnam; Keerati Chareancholvanich
Journal:  Acta Ortop Bras       Date:  2017 Mar-Apr       Impact factor: 0.513

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