Open Access
CC BY-NC-ND 4.0 · Revista Chilena de Ortopedia y Traumatología 2025; 66(01): e26-e31
DOI: 10.1055/s-0045-1809058
Artículo Original | Original Article

Joint Line Convergence Angle After Total Knee Arthroplasty: Comparison between Mechanical Alignment and Patient-Specific Alignment with Robotic-Assisted Surgery

Article in several languages: español | English

Authors

  • David Figueroa Poblete

    1   Departamento de Traumatología, Unidad de Rodilla y Artroscopía, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
  • Waldo Gonzalez Duque

    1   Departamento de Traumatología, Unidad de Rodilla y Artroscopía, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
  • Jorge Isla Villanueva

    1   Departamento de Traumatología, Unidad de Rodilla y Artroscopía, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
  • Francisco Figueroa Berrios

    1   Departamento de Traumatología, Unidad de Rodilla y Artroscopía, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
  • Loreto Figueroa Berrios

    1   Departamento de Traumatología, Unidad de Rodilla y Artroscopía, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile
  • Rodrigo Guiloff Krauss

    1   Departamento de Traumatología, Unidad de Rodilla y Artroscopía, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile


Funding No sources of funding were used to assist in the preparation of this article.

Abstract

Introduction

Different alignment strategies have been used to restore the femoral and tibial surfaces to their pre-arthritic state after total knee arthroplasty (TKA), improving patient satisfaction. Due to this paradigm change, the knee joint line orientation (JLO), an essential component of knee kinematics, has recently garnered interest as a clinical parameter.

This study aimed to evaluate the JLO measured by the joint line convergence angle (JLCA) after TKA using two different alignment strategies and robotic-assisted surgery. We hypothesized that a patient-specific alignment strategy would lead to more JLCA values considered normal (0–2°).

Methods

A retrospective review of data from 98 patients (100 knees) who underwent robotic-assisted TKA was performed. Group I consisted of 50 knees that underwent TKA using a mechanical alignment strategy, and Group II consisted of 50 knees that underwent TKA using a patient-specific alignment strategy. The JLCA was measured by two different observers in pre-operative and post-operative radiographs. Statistical analysis was performed using the T-Student test, chi-square test, and linear regression for multivariate analysis.

Results

There were no statistically significant demographic differences between both groups regarding age, gender, side, body mass index, Kellgren Lawrence classification, pre-operative range of motion, and hip-knee-ankle (HKA) angle measurement. The mean age was 69 years and 61.2% of all patients were females. In Group I, the average pre-operative JLCA was 2.34° (1.49 SD), and the average post-operative JLCA was 0.35° (0.27 SD). In Group II, the average pre-operative JLCA was 2,43° (1.72 SD), and the post-operative average JLCA was 0.29° (0.24 SD). In Group I the mean difference between the pre and post-operative JLCA was 2.34 (1.48 SD), and in Group II the mean difference between the pre- and post-operative JLCA was 2.43 (1.72 SD). There was not a statistically significant difference between both groups regarding JLCA improvement (p = 0.285).

Conclusions

The JLCA improved post-operatively in both mechanical and patient-specific alignment strategies after robotic-assisted TKA without significant differences between strategies.



Publication History

Received: 20 November 2024

Accepted: 02 April 2025

Article published online:
20 May 2025

© 2025. Sociedad Chilena de Ortopedia y Traumatologia. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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