Literature DB >> 35764909

Verifying a C-arm-based roentgen stereophotogrammetric analysis protocol for assessing tibial implant movement in total knee arthroplasty.

Vivian W J Chung1,2, Robyn Newell3, Angela Kedgley4, Carolyn Anglin5,6, Bassam A Masri7,8, Antony J Hodgson7,9.   

Abstract

Roentgen stereophotogrammetric analysis (RSA) is the "gold standard" technique for measuring sub-millimetric relative motion between implant and bone to quantify post-operative implant migration over time. The vast majority of RSA studies addressing implant motion in knee replacements, however, have been conducted using expensive biplanar radiography systems and commercial software that are not readily available at many institutions. In this study, we evaluated the feasibility of performing RSA using ordinary, readily available C-arm fluoroscopes and open-source software to assess tibial component migration.We developed an assessment protocol using a Siemens Arcadis Orbic C-arm and the open-source XROMM software and evaluated its accuracy and precision through a series of phantom-based verification tests. The results were highly promising: accuracies were in the range of - 39 to 11 μm for translations and - 0.025 to 0.029° for rotations, while system precisions ranged between 16 to 27 μm for translations and 0.041 to 0.059° for rotations. This performance is comparable to specialized RSA systems reported in the literature. The proposed RSA protocol is therefore capable of accurately measuring the relative motion of knee replacement implants in phantom scenarios, which justifies further the development of the protocol towards use in prospective clinical assessments of new implant designs and surgical techniques.
© 2022. International Federation for Medical and Biological Engineering.

Entities:  

Keywords:  C-arm; Implant micromotion; Radiostereometric analysis; Total knee arthroplasty

Mesh:

Year:  2022        PMID: 35764909     DOI: 10.1007/s11517-022-02594-0

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   3.079


  15 in total

1.  Implementation and validation of an implant-based coordinate system for RSA migration calculation.

Authors:  Elise K Laende; Kevin J Deluzio; Allan W Hennigar; Michael J Dunbar
Journal:  J Biomech       Date:  2009-08-05       Impact factor: 2.712

2.  RSA calibration accuracy of a fluoroscopy-based system using nonorthogonal images for measuring functional kinematics.

Authors:  Angela E Kedgley; Thomas R Jenkyn
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

3.  Biplane fluoroscopy for hindfoot motion analysis during gait: A model-based evaluation.

Authors:  Janelle A Cross; Benjamin D McHenry; Robert Molthen; Emily Exten; Taly Gilat Schmidt; Gerald F Harris
Journal:  Med Eng Phys       Date:  2017-03-01       Impact factor: 2.242

4.  Accuracy of a contour-based biplane fluoroscopy technique for tracking knee joint kinematics of different speeds.

Authors:  J Erik Giphart; Christopher A Zirker; Casey A Myers; W Wesley Pennington; Robert F LaPrade
Journal:  J Biomech       Date:  2012-09-25       Impact factor: 2.712

5.  Predicting 3D pose in partially overlapped X-ray images of knee prostheses using model-based Roentgen stereophotogrammetric analysis (RSA).

Authors:  Chi-Pin Hsu; Shang-Chih Lin; Kao-Shang Shih; Chang-Hung Huang; Chian-Her Lee
Journal:  Med Biol Eng Comput       Date:  2014-10-08       Impact factor: 2.602

6.  Selection of clinical features for pattern recognition applied to gait analysis.

Authors:  Rosa Altilio; Marco Paoloni; Massimo Panella
Journal:  Med Biol Eng Comput       Date:  2016-07-19       Impact factor: 2.602

7.  Evaluation of RSA set-up from a clinical biplane fluoroscopy system for 3D joint kinematic analysis.

Authors:  Tommaso Bonanzinga; Cecilia Signorelli; Marco Bontempi; Alessandro Russo; Stefano Zaffagnini; Maurilio Marcacci; Laura Bragonzoni
Journal:  Joints       Date:  2016-08-18

8.  Error performances of a model-based biplane fluoroscopic system for tracking knee prosthesis during treadmill gait task.

Authors:  Arnaud Barré; Kamiar Aminian
Journal:  Med Biol Eng Comput       Date:  2017-07-18       Impact factor: 2.602

9.  A model-free feature-based bi-planar RSA method for kinematic analysis of total knee arthroplasty.

Authors:  Shahram Amiri; Carolyn Anglin; Kenard Agbanlog; Bassam A Masri; David R Wilson
Journal:  J Biomech Eng       Date:  2012-03       Impact factor: 2.097

10.  Validation of a low-dose hybrid RSA and fluoroscopy technique: Determination of accuracy, bias and precision.

Authors:  James Ioppolo; Niclas Börlin; Charles Bragdon; Mingguo Li; Roger Price; David Wood; Henrik Malchau; Bo Nivbrant
Journal:  J Biomech       Date:  2006-03-14       Impact factor: 2.712

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