Literature DB >> 33613005

Report on a novel bone registration method: A rapid, accurate, and radiation-free technique for computer- and robotic-assisted orthopedic surgeries.

Guangyu He1, Vamiq M Mustahsan1, Michael R Bielski2, Imin Kao1, Fazel A Khan3.   

Abstract

INTRODUCTION: Computer- and robotic-assisted technologies have recently been introduced into orthopedic surgery to improve accuracy. Each requires intraoperative "bone registration," but existing methods are time consuming, often inaccurate, and/or require bulky and costly equipment that produces substantial radiation.
METHODS: We developed a novel method of bone registration using a compact 3D structured light surface scanner that can scan thousands of points simultaneously without any ionizing radiation.Visible light is projected in a specific pattern onto a 3 × 3 cm2 area of exposed bone, which deforms the pattern in a way determined by the local bone geometry. A quantitative analysis reconstructs this local geometry and compares it to the preoperative imaging, thereby effecting rapid bone registration.A registration accuracy study using our novel method was conducted on 24 CT-scanned femur Sawbones®. We simulated exposures typically seen during knee/hip arthroplasty and common bone tumor resections. The registration accuracy of our technique was quantified by measuring the discrepancy of known points (i.e., pre-drilled holes) on the bone.
RESULTS: Our technique demonstrated a registration accuracy of 0.44 ± 0.22 mm. This compared favorably with literature-reported values of 0.68 ± 0.14 mm (p-value = 0.001) for the paired-point technique13 and 0.86 ± 0.38 mm for the intraoperative CT based techniques 14 (not enough reported data to calculate p-value).
CONCLUSION: We have developed a novel method of bone registration for computer and robotic-assisted surgery using 3D surface scanning technology that is rapid, compact, and radiation-free. We have demonstrated increased accuracy compared to existing methods (using historical controls).
© 2021 Professor P K Surendran Memorial Education Foundation. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bone registration; Computer-assist surgery; Robot-assist surgery; Structured-light Scanning; Surgical technique

Year:  2021        PMID: 33613005      PMCID: PMC7873346          DOI: 10.1016/j.jor.2021.01.010

Source DB:  PubMed          Journal:  J Orthop        ISSN: 0972-978X


  9 in total

1.  Fully automated registration of intraoperative computed tomography image data for image-guided craniofacial surgery.

Authors:  Georg Eggers; Bodo Kress; Joachim Mühling
Journal:  J Oral Maxillofac Surg       Date:  2008-08       Impact factor: 1.895

2.  Assessment of registration accuracy during computer-aided oncologic limb-salvage surgery.

Authors:  Kurt E Stoll; Joan D Miles; Jedediah K White; Stephanie E W Punt; Ernest U Conrad; Randal P Ching
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-01-13       Impact factor: 2.924

3.  Intraoperative application of hand-held structured light scanning: a feasibility study.

Authors:  Brandon Chan; Jason Auyeung; John F Rudan; Randy E Ellis; Manuela Kunz
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-03-26       Impact factor: 2.924

Review 4.  Increased precision of coronal plane outcomes in robotic-assisted total knee arthroplasty: A systematic review and meta-analysis.

Authors:  Ashim Mannan; James Vun; Christopher Lodge; Alistair Eyre-Brook; Simon Jones
Journal:  Surgeon       Date:  2018-02-10       Impact factor: 2.392

5.  Haptic robot-assisted surgery improves accuracy of wide resection of bone tumors: a pilot study.

Authors:  Fazel Khan; Andrew Pearle; Christopher Lightcap; Patrick J Boland; John H Healey
Journal:  Clin Orthop Relat Res       Date:  2013-03       Impact factor: 4.176

6.  Reliable navigation registration in cranial and spine surgery based on intraoperative computed tomography.

Authors:  Barbara Carl; Miriam Bopp; Benjamin Saß; Mirza Pojskic; Marko Gjorgjevski; Benjamin Voellger; Christopher Nimsky
Journal:  Neurosurg Focus       Date:  2019-12-01       Impact factor: 4.047

7.  Imaging of articular cartilage.

Authors:  Bhawan K Paunipagar; Dd Rasalkar
Journal:  Indian J Radiol Imaging       Date:  2014-07

Review 8.  Computer-Assisted Orthopedic Surgery: Current State and Future Perspective.

Authors:  Guoyan Zheng; Lutz P Nolte
Journal:  Front Surg       Date:  2015-12-23

Review 9.  The current role of robotics in total hip arthroplasty.

Authors:  Babar Kayani; Sujith Konan; Atif Ayuob; Salamah Ayyad; Fares S Haddad
Journal:  EFORT Open Rev       Date:  2019-11-01
  9 in total
  2 in total

1.  A novel intraoperative method to project osteotomy lines for accurate resection of primary bone sarcomas.

Authors:  Guangyu He; Amos Z Dai; Vamiq M Mustahsan; Aadit T Shah; Liming Li; Jafar A Khan; Michael R Bielski; David E Komatsu; Imin Kao; Fazel A Khan
Journal:  J Orthop       Date:  2022-05-11

2.  A Novel 3D Light Assisted Drawing (3D-LAD) Method to Aid Intraoperative Reproduction of Osteotomy Lines Surrounding a Bone Tumor During Wide Resection: An Experimental Study.

Authors:  Guangyu He; Amos Z Dai; Vamiq M Mustahsan; Christopher L Blum; Imin Kao; Fazel A Khan
Journal:  Orthop Res Rev       Date:  2022-04-08
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.