Imperial College London
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ProfessorFerdinandoRodriguez y Baena

Faculty of Engineering, Department of Mechanical Engineering

Co-Director of Hamlyn Centre, Professor of Medical Robotics
 
 
 
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Contact

 

+44 (0)20 7594 7046f.rodriguez Website

 
 
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Location

 

B415CBessemer BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Schlueter-Brust:2021:10.3390/jpm11080777,
author = {Schlueter-Brust, K and Henckel, J and Katinakis, F and Buken, C and Opt-Eynde, J and Pofahl, T and Rodriguez, y Baena F and Tatti, F},
doi = {10.3390/jpm11080777},
journal = {Journal of Personalized Medicine},
pages = {1--8},
title = {Augmented-reality-assisted K-wire placement for glenoid component positioning in reversed shoulder arthroplasty: a proof-of-concept study},
url = {http://dx.doi.org/10.3390/jpm11080777},
volume = {11},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The accuracy of the implant’s post-operative position and orientation in reverse shoulder arthroplasty is known to play a significant role in both clinical and functional outcomes. Whilst technologies such as navigation and robotics have demonstrated superior radiological outcomes in many fields of surgery, the impact of augmented reality (AR) assistance in the operating room is still unknown. Malposition of the glenoid component in shoulder arthroplasty is known to result in implant failure and early revision surgery. The use of AR has many promising advantages, including allowing the detailed study of patient-specific anatomy without the need for invasive procedures such as arthroscopy to interrogate the joint’s articular surface. In addition, this technology has the potential to assist surgeons intraoperatively in aiding the guidance of surgical tools. It offers the prospect of increased component placement accuracy, reduced surgical procedure time, and improved radiological and functional outcomes, without recourse to the use of large navigation or robotic instruments, with their associated high overhead costs. This feasibility study describes the surgical workflow from a standardised CT protocol, via 3D reconstruction, 3D planning, and use of a commercial AR headset, to AR-assisted k-wire placement. Post-operative outcome was measured using a high-resolution laser scanner on the patient-specific 3D printed bone. In this proof-of-concept study, the discrepancy between the planned and the achieved glenoid entry point and guide-wire orientation was approximately 3 mm with a mean angulation error of 5°.
AU  - Schlueter-Brust,K
AU  - Henckel,J
AU  - Katinakis,F
AU  - Buken,C
AU  - Opt-Eynde,J
AU  - Pofahl,T
AU  - Rodriguez,y Baena F
AU  - Tatti,F
DO  - 10.3390/jpm11080777
EP  - 8
PY  - 2021///
SN  - 2075-4426
SP  - 1
TI  - Augmented-reality-assisted K-wire placement for glenoid component positioning in reversed shoulder arthroplasty: a proof-of-concept study
T2  - Journal of Personalized Medicine
UR  - http://dx.doi.org/10.3390/jpm11080777
UR  - https://www.mdpi.com/2075-4426/11/8/777
UR  - http://hdl.handle.net/10044/1/91396
VL  - 11
ER  -
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