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65 (); 310-315
doi:
10.1016/j.jor.2025.06.022

The influence of CPAK classification on the pivot motion between kinematic and mechanical alignment total knee arthroplasty

Department of Orthopedic Surgery, Yamaguchi Prefectural Grand Medical Center, Hofu, Japan
Department of Orthopedics, Jichi Medical University, Shimotsuke, Japan
Department of Orthopedic Surgery, Yamaguchi University, Ube, Japan
Department of Orthopedic Surgery, Yamaguchi Saiseikai Shimonoseki General Hospital, Shimonoseki, Japan

∗Corresponding author: Tsuneari Takahashi. tsuneari9@jichi.ac.jp

Disclaimer:
This article was originally published by Reed Elsevier India Pvt. Ltd. and was migrated to Scientific Scholar after the change of Publisher.

Abstract

Abstract

This study investigated whether the preoperative coronal plane alignment of the knee (CPAK), categorized as type I or II, has an effect on postoperative tibial internal rotation (TIR) relative to the femur in patients who received a medial pivot-cruciate retaining (MP-CR) total knee arthroplasty (TKA).

We retrospectively analyzed 62 patients who underwent MP-CR TKA with the GMK Sphere implant (Medacta International, Switzerland) from January 2024 to May 2025. Based on their CPAK classification, patients were divided into two groups (type I or II). Intraoperative kinematic assessments were performed using augmented reality (AR) CT-guided navigation (NextAR, Medacta), evaluating the dynamic elongation of medial and lateral collateral ligaments during either kinematic (KA) or mechanical alignment (MA) procedures. The primary measure was TIR at 30°, 60°, 90°, and 120° of knee flexion.

Univariate analyses identified significant differences, which were further assessed using multi-way ANOVA to determine interactions with CPAK classification.

Notable differences in TIR were found between CPAK types I and II at 60° (2.1° ± 4.8° vs. −2.0° ± 4.2°, p = 0.009), 90° (7.0° ± 4.3° vs. 2.1° ± 5.6°, p = 0.002), and 120° (13.1° ± 5.2° vs. 7.5° ± 4.9°, p = 0.002). Additionally, at 90°, sex and alignment method (KA vs. MA) showed significant interaction with CPAK classification (F = 6.4; p = 0.015), while the alignment method alone had no significant effect on TIR.

The CPAK classification prior to surgery affected TIR outcomes regardless of the alignment method used, as measured via AR-CT navigation.

Keywords

Knee osteoarthritis
Total knee arthroplasty
Kinematic alignment
Mechanical alignment
Kinematic analysis
Augmented reality navigation
1

1 Introduction

Total knee arthroplasty (TKA) is widely recognized as an effective treatment option for patients with advanced knee osteoarthritis (KOA), offering pain relief and functional improvement. The growing demand for this procedure is driven by its robust clinical success.1 Despite over 90 % implant survival at 10 years, data from joint replacement registries in several countries (e.g., UK, Canada, New Zealand) suggest that approximately a quarter of patients remain dissatisfied after surgery. The multifactorial nature of dissatisfaction is not yet fully understood, but component malpositioning may adversely affect joint kinematics through changes in joint line orientation and overall limb alignment.2

Computer-assisted surgical techniques have gained popularity since the mid-2000s, contributing to enhanced coronal and sagittal alignment precision and possibly lowering revision rates.3 These systems offer advantages such as improved mechanical axis accuracy, minimal bone resection, and better soft tissue preservation.4 More recently, innovations in navigation systems have enabled the intraoperative assessment of ligament behavior across the full range of motion (ROM).5,6

It is worth noting that baseline lower limb alignment varies significantly between individuals. Some populations display a natural varus alignment (constitutional varus) without evident osteoarthritic changes on imaging.7 In such cases, using mechanically aligned TKA (MATKA) might necessitate aggressive bone resection and ligament releases, potentially leading to poorer outcomes and dissatisfaction. This has led to increased interest in restoring native joint anatomy, and the emergence of kinematically aligned TKA (KATKA) as an alternative approach.8

Despite these developments, there is limited evidence on the influence of preoperative factors—such as CPAK classification—on intraoperative kinematics, particularly TIR during flexion in knees treated with medial pivot implants.

We conducted intraoperative assessments using AR and CT-based navigation in patients undergoing KATKA or MATKA with an MP-CR prosthesis. Our hypothesis was that CPAK classification affects tibial internal rotation patterns, and the current study aims to evaluate this hypothesis.

2

2 Materials and methods

2.1

2.1 Participants

This retrospective study included 72 consecutive patients with varus knee osteoarthritis (KOA) who underwent computer-assisted total knee arthroplasty (TKA) using the GMK Sphere prosthesis and the NextAR augmented reality (AR) CT-based navigation system (Medacta, San Pietro, Switzerland) between January 2024 and May 2025. Surgical indications were determined by experienced orthopedic surgeons based on clinical assessments (e.g., limited ROM) and radiological evidence consistent with Kellgren-Lawrence grade 3 or 4 KOA. Seven patients were excluded due to incomplete intraoperative data, and three were excluded for having CPAK types other than type I or II, resulting in a final sample of 62 patients.

2.2

2.2 Data collection

Demographic and procedural variables collected included patient age, sex, and alignment technique (mechanically aligned [MATKA] or kinematically aligned [KATKA]). All patients underwent preoperative CT imaging from the pelvis to the ankle. The following parameters were recorded: hip-knee angle (HKA), lateral distal femoral angle (LDFA), medial proximal tibial angle (MPTA), arithmetic HKA, and joint line obliquity.

2.3

2.3 Surgical technique

All surgeries were performed by a senior board-certified orthopedic surgeon. The TKA procedure was conducted through a subvastus approach using a cemented, fixed-bearing MP-CR implant. The anterior cruciate ligament was excised, while the posterior cruciate ligament and deep medial collateral ligament were preserved. Patellar resurfacing was not performed in any case.

The NextAR system uses two sterile, disposable sensors—a tracker and an infrared camera—connected wirelessly to a control unit and smart glasses (Fig. 1). The system does not require an external camera or calibration and provides real-time spatial tracking with an error margin of ≤0.5°/0.5 mm. This configuration eliminates the need for bone pins by allowing direct attachment of sensors to the femur and tibia via the surgical incision (Fig. 2).9,10

Overview of NextAR system.
Fig. 1 Overview of NextAR system.
Overview of initial setup and the bone registration.
Fig. 2 Overview of initial setup and the bone registration.

For MATKA, femoral and tibial bone resections were made perpendicular to the mechanical axis, with the goal of achieving rectangular and symmetric flexion-extension gaps throughout the ROM. For KATKA, we followed Howell's unrestricted kinematic alignment principles. Bone resections were planned to match the implant thickness, preserving the native joint lines. The femoral component was resurfaced in the coronal plane, maintaining the patient's original LDFA (Fig. 3). In the axial plane, the posterior femoral cut was aligned at 0° to the posterior condylar axis, and sagittal adjustments were made to avoid notching (Fig. 4). Tibial resection was performed using an alignment guide (Fig. 5), and osteophytes on both tibial and femoral margins were removed. Posterior capsular release and removal of posterior osteophytes were performed in cases with flexion contracture.11 The tibial baseplate was aligned to match the preoperative rotational reference (Fig. 6). Trial components were inserted, and the knee was assessed for ROM, ligament tension, implant rotation, posterior cruciate ligament tension, and patellar tracking. Final cementation was completed after confirming joint balance and removing excess cement.

Resurfacing of the femoral component on the coronal plane, while preserving the native LDFA.
Fig. 3 Resurfacing of the femoral component on the coronal plane, while preserving the native LDFA.
Adjusting the flexion/extension to the optimal position to prevent femoral notching in the sagittal plane.
Fig. 4 Adjusting the flexion/extension to the optimal position to prevent femoral notching in the sagittal plane.
The tibial cut was made through the slot in the guide.
Fig. 5 The tibial cut was made through the slot in the guide.
The internal–external rotation of the tibial component was aligned parallel according to the preoperative registration.
Fig. 6 The internal–external rotation of the tibial component was aligned parallel according to the preoperative registration.
2.4

2.4 Intraoperative kinematic assessment

Intraoperative evaluation of tibial internal rotation (TIR) relative to the femur was conducted at flexion angles of 30°, 60°, 90°, and 120° using the NextAR navigation system (Fig. 7). The system generated a detailed report documenting planned vs. executed resections and ligament elongation throughout the procedure.6

Assessment of TIR relative to femur was performed using the NextAR system.
Fig. 7 Assessment of TIR relative to femur was performed using the NextAR system.
2.5

2.5 Statistical analysis

Continuous variables were reported as mean ± standard deviation, and categorical variables as frequencies and percentages. Statistical analyses were performed using EZR software.12 Patients were grouped by CPAK type (I or II), and intergroup comparisons were conducted using Student's t-test for continuous variables and Fisher's exact test for categorical data. A significance level of p < 0.05 was used. Variables showing significant differences in univariate analyses were further examined in multi-way ANOVA to detect interactions with CPAK classification.

A priori sample size calculation was conducted using G∗Power 3.1 13. With an alpha of 0.05, beta of 0.20, and Cohen's effect size of 0.8, a minimum of 52 subjects was needed. The final cohort included 50 patients with CPAK type I and 12 with type II. Post hoc power analysis indicated a power of 82.8 %, confirming sufficient statistical power.

3

3 Results

Table 1 presents the demographic and clinical characteristics of the two groups. TIR measurements differed significantly between CPAK type I and type II groups at 60° (2.1° ± 4.8° vs. −2.0° ± 4.2°, p = 0.009), 90° (7.0° ± 4.3° vs. 2.1° ± 5.6°, p = 0.002), and 120° (13.1° ± 5.2° vs. 7.5° ± 4.9°, p = 0.002) of knee flexion.

Table 1 Patient demographics.
Parameters CPAK I (n = 50) CPAK II (n = 12) P value
Age (years old) 74.8 (7.8) 74.9 (9.4) N.S.
Sex (Female/Male) 35/15 7/3 N.S.
Type of alignment (MATKA/KATKA) 23/27 5/5 N.S.
Preoperative HKA (°) 170.2 (3.3) 176.3 (4.0) <0.001
LDFA (°) 88.7 (1.9) 85.6 (1.7) <0.001
MPTA (°) 82.6 (2.5) 85.0 (1.6) 0.002
aHKA (°) −6.1 (3.1) −0.63 (1.2) <0.001
JLO (°) 8.7 (3.2) 9.4 (3.1) N.S.
TIR relative to femur (°) @ 30° of KF 0.0 (3.4) −1.6 (3.1) N.S.
@ 60° of KF 2.1 (4.8) −2.0 (4.2) 0.009
@ 90° of KF 7.0 (4.3) 2.1 (5.6) 0.002
@ 120° of KF 13.1 (5.2) 7.5 (4.9) 0.002

Multi-way ANOVA revealed a statistically significant interaction between sex and alignment technique (KATKA or MATKA) affecting CPAK classification at 90° of flexion (F = 6.4, p = 0.015). However, alignment method alone did not have a significant effect on TIR outcomes.

4

4 Discussion

This investigation yielded several key insights. Most notably, the tibial internal rotation (TIR) during knee flexion was significantly influenced by the preoperative CPAK classification, as measured intraoperatively using the AR-based CT navigation system. Additionally, a notable interaction between sex and alignment method (KATKA or MATKA) was observed at 90° of flexion. However, the alignment technique alone did not appear to significantly affect TIR.

To our knowledge, this is one of the few studies examining the relationship between CPAK classification and tibiofemoral kinematics during flexion using a medial pivot (MP) prosthesis. The MP design emulates the knee's native biomechanics by incorporating a “ball-and-socket” articulation in the medial compartment, which limits anteroposterior translation. This design promotes rollback of the femur on the lateral side while preserving stability medially.14–16 Such behavior may be beneficial in preventing mid-flexion instability, which has been identified as a potential contributor to patient dissatisfaction after TKA.17,18

Previous studies using fluoroscopic analysis have demonstrated that optimal medial stability combined with controlled lateral laxity in mid-range flexion correlates with favorable outcomes following MP-TKA.19 Compared to cruciate-retaining (CR) designs with gradually reducing radii, MP implants have been associated with reduced anterior-posterior laxity at mid-flexion angles.20 Given that knee flexion function is closely linked to postoperative quality of life, particularly in Asian populations, optimizing mid-flexion stability is a critical factor in improving patient satisfaction.21

In recent years, combining kinematic alignment (KATKA) with MP designs has gained attention due to reported advantages in patient-reported outcomes and faster recovery compared to mechanical alignment with bi-cruciate substituting (BCS) implants.22 These benefits may stem from KATKA's ability to better replicate the patient's native joint line and kinematics, thus creating a more natural-feeling knee.

Although some randomized controlled trials (RCTs) and meta-analyses have suggested that KATKA offers improved postoperative ROM and clinical scores over MATKA, the present study adds a new perspective by indicating that preoperative CPAK classification—not alignment type—is the key factor influencing TIR outcomes.23 Further investigations are warranted to clarify the optimal alignment strategy based on CPAK phenotype, as this may help guide more personalized approaches to TKA planning.

5

5 Limitations

This study has several limitations that should be acknowledged. First, we did not evaluate interobserver reliability for intraoperative measurements, which may introduce measurement bias. Second, the investigation was conducted by a single surgeon at one institution, potentially limiting the external validity and generalizability of the findings. Third, our patient cohort was composed exclusively of East Asian individuals, which may limit applicability to populations with different anthropometric characteristics or implant size distributions.

Additionally, selection bias may have influenced case inclusion, although surgical indications were consistently determined by a senior specialist. Despite these limitations, this is the first study to demonstrate that CPAK type I and II classifications are associated with distinct intraoperative tibial rotation patterns, irrespective of the alignment technique employed, as assessed using AR-based CT navigation. Further comparative studies are necessary to determine whether these intraoperative kinematic differences correlate with long-term functional outcomes and patient satisfaction.

6

6 Conclusion

Our findings suggest that preoperative CPAK classification (type I or type II) significantly affects tibial internal rotation during knee flexion at 60°, 90°, and 120°, as measured intraoperatively with augmented reality CT-based navigation. These effects were observed regardless of whether mechanically aligned or kinematically aligned TKA was performed. CPAK phenotype may serve as a valuable preoperative predictor of kinematic behavior in total knee arthroplasty.

CRediT authorship contribution statement

Eiichi Shiigi: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing – review & editing. Tsuneari Takahashi: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. Koji Yoshida: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – review & editing. Masahiro Numa: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – review & editing. Keiko Kamata: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Writing – review & editing. Katsushi Takeshita: Conceptualization, Project administration, Writing – review & editing. Takashi Sakai: Conceptualization, Project administration, Writing – review & editing.

Ethical approval

This study was conducted in accordance with the principles of the Declaration of Helsinki. The Institute's Bioethics Committee for Medical Research at the Yamaguchi Prefectural General Medical Center approved the study (approval ID: 2020-J029) and waived the requirement for informed consent from individual participants, given the retrospective nature of the study. All patients received the current standard treatment.

Funding statement

Not applicable.

References

  1. , , , . Projected volume of primary total joint arthroplasty in the U.S., 2014 to 2030. J Bone Joint Surg Am. 2018;100:1455-1460.
    [Google Scholar]
  2. , , , , . Alignment and fixation in total knee arthroplasty: changing paradigms. Bone Joint Lett J. 2015;97-B:16-19.
    [Google Scholar]
  3. , , , . A computer-assisted, tibia-first technique for improved femoral component rotation in total knee arthroplasty. Arthroplast Today. 2018;4:78-84.
    [Google Scholar]
  4. , , , , , , . Accuracy of soft tissue balancing in TKA: comparison between navigation-assisted gap balancing and conventional measured resection. Knee Surg Sports Traumatol Arthrosc. 2010;18:381-387.
    [Google Scholar]
  5. , , , , . Comparison of postoperative clinical outcomes and knee stability of cruciate-retaining total knee arthroplasty using the tibia-first gap navigation technique with a computer-aided system and measured-resection technique: a retrospective analysis of a propensity-matched cohort. J Exp Orthop. 2024;11
    [Google Scholar]
  6. , , , , , . Novel surgical technique for total knee arthroplasty integrating kinematic alignment and real-time elongation of the ligaments using the NextAR system. J Personalized Med. 2024;14
    [Google Scholar]
  7. , , , , , . Comparison of coronal and sagittal alignment in patients without osteoarthritis but with knee complaints. J Exp Orthop. 2025;12
    [Google Scholar]
  8. , , , , . Reoperation, implant survival, and clinical outcome after kinematically aligned total knee arthroplasty: a concise clinical Follow-Up at 16 years. J Arthroplast. 2024;39:695-700.
    [Google Scholar]
  9. , , , , , . The contralateral limb is no reliable reference to restore coronal alignment in TKA. Knee Surg Sports Traumatol Arthrosc. 2022;30:477-487.
    [Google Scholar]
  10. , , , et al . Comparison between gaits after a medial pivot and posterior stabilized primary total knee arthroplasty: a systematic review of the literature. Arthroplasty. 2023;5:15.
    [Google Scholar]
  11. , , , , , . Kinematically versus mechanically aligned total knee arthroplasty. Orthopedics. 2012;35:e160-e169.
    [Google Scholar]
  12. , . Investigation of the freely available easy-to-use software 'EZR' for medical statistics. Bone Marrow Transplant. 2013;48:452-458.
    [Google Scholar]
  13. , , , , . G∗Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39:175-191.
    [Google Scholar]
  14. , , , . Tibiofemoral movement 1: the shapes and relative movements of the femur and tibia in the unloaded cadaver knee. J Bone Joint Surg Br. 2000;82:1189-1195.
    [Google Scholar]
  15. , . The rationale for a total knee implant that confers anteroposterior stability throughout range of motion. J Arthroplast. 2004;19:22-26.
    [Google Scholar]
  16. , , , , , . Evaluation of the medial stabilized knee design using data from national joint registries and current literature. J Arthroplast. 2020;35:1950-1955.
    [Google Scholar]
  17. , . Midflexion instability in primary total knee replacement: a review. SICOT J. 2015;1:24.
    [Google Scholar]
  18. , , , , . Knee instability as the primary cause of failure following total knee arthroplasty (TKA): a systematic review on the patient, surgical and implant characteristics of revised TKA patients. Knee. 2017;24:1271-1281.
    [Google Scholar]
  19. , , , et al . Medial stability and lateral flexibility of the collateral ligaments during mid-range flexion in medial-pivot total knee arthroplasty patients demonstrates favorable postoperative outcomes. Knee Surg Sports Traumatol Arthrosc. 2023;31:3734-3744.
    [Google Scholar]
  20. , , , et al . Comparison of postoperative clinical outcome in medial-pivotal and gradually reducing radius design cruciate-retaining total knee arthroplasty-A multicenter analysis of propensity-matched cohorts. J Exp Orthop. 2024;11
    [Google Scholar]
  21. , , , , , . A high degree of knee flexion after TKA promotes the ability to perform high-flexion activities and patient satisfaction in Asian population. BMC Muscoskelet Disord. 2021;22:565.
    [Google Scholar]
  22. , , , , , . Comparative outcomes of kinematically aligned TKA with medial stabilized design vs. mechanically aligned TKA with bi-cruciate stabilized design: a propensity score-matched analysis. J Orthop. 2025;63:196-200.
    [Google Scholar]
  23. , , , . Kinematically aligned total knee arthroplasty or mechanically aligned total knee arthroplasty. J Knee Surg. 2018;31:999-1006.
    [Google Scholar]
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