Cited by 30Total Knee Arthroplasty OutcomesKnee injuries and reconstruction techniquesMedical Image Segmentation Techniques

The DOI matches its Crossref record.

Three‐dimensional motion analysis of the patellar component in total knee arthroplasty by the image matching method using image correlations

Open access
Ishimaru, Masami, Shiraishi, Yoshitaka, Ikebe, Satoru, Higaki, Hidehiko, Hino, Kazunori, Onishi, Yoshio, Miura, Hiromasa·2014·Journal of Orthopaedic Research

Abstract

In total knee arthroplasty (TKA), the patella is significantly associated with range of motion and gait performance. Currently, no highly accurate methods are available that can measure the 3D in vivo behavior of the TKA patellar component, as the component is made of x‐ray‐permeable ultra‐high molecular weight polyethylene. Previously, we developed a computer simulation that matches CT scan and unidirectional radiographic images using image correlations, and applied it to kinematic studies of natural and TKA knees. The examination of the measurement accuracy for the patellar bone of a fresh‐frozen pig knee joint yielded a root mean square error of 0.2 mm in translation and 0.2° in rotation. In this study, we recruited four patients who had a TKA and investigated 3D movements of the patellar component during squatting. We could visualize the patellar component using the position of the holes drilled for the component peg, and estimated and visualized the contact points between the patellar and femoral components. The principles and the utility of the simulation method are reported. This analytical method is useful for evaluating the pathologies and post‐surgical conditions of the knee and other joints. © 2014 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 32:619–626, 2014.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/jor.22596

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 33

  1. 10.1007/s11999-011-2123-4 · DOI
  2. 10.2106/00004623-200300004-00008 · DOI
  3. Walker SA, 1996, In vivo” pose estimation of artificial knee implants using computer vision, Biomed Sci Instrum, 32, 143
  4. 10.1016/S0883-5403(05)80127-5 · DOI
  5. 10.2106/00004623-200302000-00005 · DOI
  6. Higaki H, 2002, Application of pattern matching method in motion analysis for TKA, Trans Jpn Soc Mech Eng, 68, 221
  7. Higaki H, 2009, Development of motion analytic technique in vivo for the natural joint by simulation of X‐ray transmission based density distribution, Trans Jpn Soc Mech Eng, 75, 148
  8. Shiraishi Y, 2011, Functional assessment for the natural knee joints in squat activity by simulation of 2D X‐ray images based on 3D CT image, Trans Jpn Soc of Mech Eng, 77, 219
  9. Shiraishi Y, 2009, Motion analysis of the natural knee during a deep flexion, Jpn J Clin Biomech, 30, 215
  10. Shimoto T, 2010, Kinematics of the natural knees in squat activity, Jpn J Clin Biomech, 31, 363
  11. 10.1115/1.2834888 · DOI
  12. 10.1097/00003086-200201000-00019 · DOI
  13. 10.1115/1.2803267 · DOI
  14. Shiraishi Y, 2012, Motion analysis in the natural patella by simulation of 2D X‐ray images based on 3D CT images, Jpn J Clin Biomech, 33, 185
  15. 10.1007/s00776-011-0149-9 · DOI
  16. 10.1115/1.1933949 · DOI · Paper page
  17. 10.1007/s12194-010-0090-1 · DOI
  18. 10.1109/42.929617 · DOI
  19. 10.1016/j.arth.2009.04.023 · DOI
  20. 10.1016/j.knee.2004.05.006 · DOI
  21. 10.1016/S0883-5403(97)90010-3 · DOI
  22. 10.1016/S0268-0033(01)00020-1 · DOI
  23. 10.1007/s00167-009-0956-0 · DOI
  24. 10.1016/j.clinbiomech.2007.08.005 · DOI
  25. 10.1016/S0021-9290(03)00105-2 · DOI
  26. 10.1016/j.knee.2009.08.001 · DOI
  27. 10.1016/j.arthro.2009.05.013 · DOI
  28. 10.1016/j.knee.2008.12.016 · DOI
  29. 10.1016/j.jbiomech.2009.08.034 · DOI
  30. 10.1097/BLO.0b013e31802dc4d0 · DOI
  31. 10.1016/j.knee.2004.02.004 · DOI
  32. 10.1016/j.gaitpost.2009.06.010 · DOI
  33. 10.2106/JBJS.G.00572 · DOI

Cited by

Sorted by citations

See all 30

Metadata

Authors
Ishimaru, M., Shiraishi, Y., Ikebe, S., Higaki, H., Hino, K., Onishi, Y., & Miura, H.
Affiliations
  • Ehime University (JP)
  • Kyushu Sangyo University (JP)
  • Department of Bone and Joint Surgery Graduate School of Medicine Ehime University Shitsukawa Toon, Ehime 791‐0295 Japan
Corresponding author
Miura, Hiromasa
Venue
Journal of Orthopaedic Research
Publisher
Wiley
Published
2014-02-13
Volume
32
Issue
5
Pages
619-626
ISSN
  • 0736-0266 (ISSN-L)
  • 1554-527X
OpenAlex
W1608569586
Cited by
30
References
0
Citations by year
2024: 5 · 2023: 3 · 2022: 1 · 2021: 3 · 2020: 4 · 2019: 1 · 2018: 5 · 2017: 2 · 2016: 3 · 2015: 2 · 2014: 1
FWCI
2.65
Type
journal article
Language
en
Open access
Locations
  • Journal of Orthopaedic Research® (publishedVersion)
  • PubMed (publishedVersion)
Funders
Japan Society for the Promotion of Science (25350531, 24592288)
Topics
  • Health Sciences › Medicine › Surgery › Total Knee Arthroplasty Outcomes
  • Health Sciences › Medicine › Surgery › Knee injuries and reconstruction techniques
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
Keywords
total knee arthroplasty, patellar component, three-dimensional kinematics, image matching, image correlation, squatting, ultra-high molecular weight polyethylene, knee kinematics
MeSH terms
Aged, Animals, Biomechanical Phenomena, Computer Simulation, Female, Femur, Humans, Knee Joint, Male, Patella, Swine, Tomography, X-Ray Computed, Range of Motion, Articular, Arthroplasty, Replacement, Knee

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review