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Coronal Plane Alignment of the Knee (CPAK) classification: a new system for describing knee phenotypes
Open accessAbstract
Aims: A comprehensive classification for coronal lower limb alignment with predictive capabilities for knee balance would be beneficial in total knee arthroplasty (TKA). This paper describes the Coronal Plane Alignment of the Knee (CPAK) classification and examines its utility in preoperative soft tissue balance prediction, comparing kinematic alignment (KA) to mechanical alignment (MA). Methods: A radiological analysis of 500 healthy and 500 osteoarthritic (OA) knees was used to assess the applicability of the CPAK classification. CPAK comprises nine phenotypes based on the arithmetic HKA (aHKA) that estimates constitutional limb alignment and joint line obliquity (JLO). Intraoperative balance was compared within each phenotype in a cohort of 138 computer-assisted TKAs randomized to KA or MA. Primary outcomes included descriptive analyses of healthy and OA groups per CPAK type, and comparison of balance at 10° of flexion within each type. Secondary outcomes assessed balance at 45° and 90° and bone recuts required to achieve final knee balance within each CPAK type. Results: There was similar frequency distribution between healthy and arthritic groups across all CPAK types. The most common categories were Type II (39.2% healthy vs 32.2% OA), Type I (26.4% healthy vs 19.4% OA) and Type V (15.4% healthy vs 14.6% OA). CPAK Types VII, VIII, and IX were rare in both populations. Across all CPAK types, a greater proportion of KA TKAs achieved optimal balance compared to MA. This effect was largest, and statistically significant, in CPAK Types I (100% KA vs 15% MA; p < 0.001), Type II (78% KA vs 46% MA; p = 0.018). and Type IV (89% KA vs 0% MA; p < 0.001). Conclusion: CPAK is a pragmatic, comprehensive classification for coronal knee alignment, based on constitutional alignment and JLO, that can be used in healthy and arthritic knees. CPAK identifies which knee phenotypes may benefit most from KA when optimization of soft tissue balance is prioritized. Further, it will allow for consistency of reporting in future studies. Cite this article: Bone Joint J 2021;103-B(2):329–337.
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“CPAK was developed using measurements made on long leg radiographs (LLR) and defines nine native knee phenotypes that can be targeted in a personalized TKA, based on a 3 × 3 grid organized by aHKA (varus, neutral, valgus) and JLO (apex distal, neutral, and apex proximal) [11].”
From Imageless robotic total knee arthroplasty determines similar coronal plane alignment of the knee (CPAK) parameters to long leg radiographs (2024) · cites this paper as [11]
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“CPAK was developed using measurements made on long leg radiographs (LLR) and defines nine native knee phenotypes that can be targeted in a personalized TKA, based on a 3 × 3 grid organized by aHKA (varus, neutral, valgus) and JLO (apex distal, neutral, and apex proximal) [11].”
From Imageless robotic total knee arthroplasty determines similar coronal plane alignment of the knee (CPAK) parameters to long leg radiographs (2024) · cites this paper as [11]
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“The arithmetic hip-knee-ankle angle (aHKA) [10], providing information on the constitutional alignment of the lower limb irrespective of cartilage loss, and the joint line obliquity (JLO) together comprise the coronal plane alignment of the knee (CPAK) classification [11].”
From Imageless robotic total knee arthroplasty determines similar coronal plane alignment of the knee (CPAK) parameters to long leg radiographs (2024) · cites this paper as [11]
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Cited by
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Edelstein, A. I., Orsi, A. D., Plaskos, C., Coffey, S., & Suleiman, L. I. (2024) · Arthroplasty · doi:10.1186/s42836-024-00231-9 · Cited by 11
“1 [11].”
BackgroundMethodInfluential
Metadata
- Authors
- MacDessi, S. J., Griffiths-Jones, W., Harris, I. A., Bellemans, J., & Chen, D. B.
- Affiliations
- UNSW Sydney (AU)
- North Devon District Hospital (GB)
- Ziekenhuis Oost-Limburg (BE)
- St George Hospital (AU)
- Corresponding author
- MacDessi, Samuel J.
- Venue
- The Bone & Joint Journal
- Published
- 2021-02-01
- Volume
- 103-B
- Issue
- 2
- Pages
- 329-337
- ISSN
- 2049-4394 (ISSN-L)
- 2049-4408
- PMC
- PMC7954147
- OpenAlex
- W3126587127
- Cited by
- 738
- References
- 0
- Citations by year
- 2026: 218 · 2025: 215 · 2024: 170 · 2023: 83 · 2022: 37 · 2021: 15
- FWCI
- 71.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The Bone & Joint Journal (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Document Server@UHasselt (UHasselt) (submittedVersion, cc-by-nc-nd)
- Funders
- University of New South Wales
- Universiteit Hasselt
- Ingham Institute for Applied Medical Research
- Topics
- Health Sciences › Medicine › Surgery › Total Knee Arthroplasty Outcomes
- Health Sciences › Medicine › Surgery › Knee injuries and reconstruction techniques
- Physical Sciences › Engineering › Biomedical Engineering › Lower Extremity Biomechanics and Pathologies
- Keywords
- total knee arthroplasty, knee alignment, soft tissue balancing, kinematic alignment, mechanical alignment, knee osteoarthritis, joint line obliquity, computer-assisted surgery
- MeSH terms
- Adult, Aged, Aged, 80 and over, Biomechanical Phenomena, Postural Balance, Female, Humans, Knee Joint, Male, Middle Aged, Prospective Studies, Case-Control Studies, Treatment Outcome, Bone Malalignment, Arthroplasty, Replacement, Knee, Perioperative Care, Osteoarthritis, Knee
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