The Knee Osteoarthritis Grading System (KOGS) for arthroplasty
File(s)TheKneeOsteoarthritisGrading.pdf (928.37 KB)
Published version
Author(s)
Oosthuizen, Christiaan Rudolf
Takahashi, Tsuneari
Rogan, Dr Mack
Hans Snyckers, Chris
Peter Vermaak, Duwayne
Type
Journal Article
Abstract
Background
The aim of this study is to validate the Knee Osteoarthritis Grading system (KOGS) of progressive osteoarthritic (OA) degeneration for the Tri-compartmental knee. This system defines the site and severity of OA to determine a specific knee replacement.
Methods
The radiographic sequence for KOGS includes standing coronal (antero-posterior), lateral, 30° skyline patella, 15° and 45° Rosenberg and stress views in 20° of flexion.
Cohen’s Kappa and related agreement statistical methods were used to assess the level of concordance of the seven evaluators between A and B cohorts for each evaluator and also against the actual arthroplasty used. Sensitivity and specificity was also assessed for the KOGS in identifying true partial knee replacements (PKR) and total knee replacements (TKR) as decided from the cohort A evaluations.
Results
From a cohort of 330 patients who were included in the study, 71 (22.5%) underwent a TKR procedure, 258 (78.2%) a PKR and 1 (0.3%) was neither a TKR nor PKR. KOGS was able to identify true PKRs (sensitivity) in the range of 92.2% to 98.5% across all the different evaluators. The KOGS method was able to identify a PKR or a TKR with an accuracy ranging from 92% to 98.8% across all different evaluators.
The surgical results after 20 months are at least comparable with the expected average in the academic literature.
Conclusion
The KOGS classification provides a reliable and accurate tool to assess suitability of an individual patient for undergoing partial or total knee replacement.
The aim of this study is to validate the Knee Osteoarthritis Grading system (KOGS) of progressive osteoarthritic (OA) degeneration for the Tri-compartmental knee. This system defines the site and severity of OA to determine a specific knee replacement.
Methods
The radiographic sequence for KOGS includes standing coronal (antero-posterior), lateral, 30° skyline patella, 15° and 45° Rosenberg and stress views in 20° of flexion.
Cohen’s Kappa and related agreement statistical methods were used to assess the level of concordance of the seven evaluators between A and B cohorts for each evaluator and also against the actual arthroplasty used. Sensitivity and specificity was also assessed for the KOGS in identifying true partial knee replacements (PKR) and total knee replacements (TKR) as decided from the cohort A evaluations.
Results
From a cohort of 330 patients who were included in the study, 71 (22.5%) underwent a TKR procedure, 258 (78.2%) a PKR and 1 (0.3%) was neither a TKR nor PKR. KOGS was able to identify true PKRs (sensitivity) in the range of 92.2% to 98.5% across all the different evaluators. The KOGS method was able to identify a PKR or a TKR with an accuracy ranging from 92% to 98.8% across all different evaluators.
The surgical results after 20 months are at least comparable with the expected average in the academic literature.
Conclusion
The KOGS classification provides a reliable and accurate tool to assess suitability of an individual patient for undergoing partial or total knee replacement.
Date Issued
2019-03
Date Acceptance
2018-11-08
Citation
The Journal of Arthroplasty, 2019, 34 (3), pp.450-455
ISSN
0883-5403
Publisher
Elsevier BV
Start Page
450
End Page
455
Journal / Book Title
The Journal of Arthroplasty
Volume
34
Issue
3
Copyright Statement
© 2018 The Author(s). This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 - https://creativecommons.org/licenses/by-nc-nd/4.0/)
Subjects
Science & Technology
Life Sciences & Biomedicine
Orthopedics
X-ray
osteoarthritis
grading
knee
arthroplasty
THICKNESS CARTILAGE LOSS
UNICOMPARTMENTAL ARTHROPLASTY
REPLACEMENT
OUTCOMES
AGREEMENT
PAIN
MRI
X-ray
arthroplasty
grading
knee
osteoarthritis
Arthroplasty, Replacement, Knee
Cohort Studies
Decision Support Techniques
Humans
Knee Joint
Osteoarthritis, Knee
Patella
Radiography
Range of Motion, Articular
Severity of Illness Index
Patella
Knee Joint
Humans
Osteoarthritis, Knee
Radiography
Range of Motion, Articular
Arthroplasty, Replacement, Knee
Severity of Illness Index
Cohort Studies
Decision Support Techniques
Orthopedics
1103 Clinical Sciences
0903 Biomedical Engineering
Publication Status
Published
Date Publish Online
2018-11-15