| Issue |
SICOT-J
Volume 12, 2026
|
|
|---|---|---|
| Article Number | 4 | |
| Number of page(s) | 8 | |
| Section | Knee | |
| DOI | https://doi.org/10.1051/sicotj/2025068 | |
| Published online | 28 January 2026 | |
Review Article
A systematic review of radiological outcomes and implant positioning in robotic-assisted functionally aligned robotic total knee arthroplasty
1
Orthopaedics Surgery and Sports Medicine Department, Hôpital de la Croix-Rousse, Lyon, France
2
Third Academic Department of Orthopaedics, Papageorgiou General Hospital, Thessaloniki 56403, Greece
3
Orthopedic Surgery Department, Lyon Ortho Clinic, Clinique de la Sauvegarde, Lyon, France
4
Ortopedia e Traumatologia, Fondazione Poliambulanza Istituto Ospedaliero, Via Bissolati 57, 25124 Brescia, Italy
5
Fondazione Policlinico Universitario Campus Bio-Medico, Roma, Italy
6
Second Department of Orthopaedics, Hygeia General Hospital of Athens, Greece
7
School of Health Rehabilitation Sciences, University of Patras, Greece
8
IFSTTAR, LBMC UMR_T9406, Univ Lyon, Claude Bernard Lyon 1 University, Lyon, France
* Corresponding author: This email address is being protected from spambots. You need JavaScript enabled to view it.
; This email address is being protected from spambots. You need JavaScript enabled to view it.
Received:
11
December
2025
Accepted:
22
December
2025
Introduction: Functional alignment (FA) or functional knee positioning is a patient-specific strategy for total knee arthroplasty (TKA) that utilizes robotics to balance coronal, sagittal, and axial planes while preserving joint-line orientation and soft-tissue tension within predefined guardrails. Although early clinical outcomes are encouraging, the radiographic profile and workflow consistency of robotic FA have not been clearly synthesized. Methods: In accordance with PRISMA guidelines, English-language studies of primary robotic FA-TKA with ≥2-year follow-up were searched. Eligible designs included RCTs, prospective/retrospective cohorts, and large case series (≥50 patients). Information on pre- and postoperative coronal alignment [hip–knee–ankle angle (HKA), lateral distal femoral angle (LDFA), medial proximal tibial angle (MPTA)], component positioning (femoral valgus/rotation/flexion; tibial varus/rotation/slope), and explicit FA workflow boundaries (guardrails) was extracted. Results: Twenty-one cohorts (5,360 knees) reported at least one radiographic or workflow endpoint. Preoperatively, the predominant deformity was varus. Postoperatively, limb alignment converged near neutral: HKA clustered around 178–179.5°, with LDFA ~89–91° and MPTA ~87–89°. Component positions were tightly distributed within FA targets: femoral valgus ≈ 0.5–1.5°, tibial varus ≈ ~3°, femoral flexion ~6–9°, and tibial slope ~0–3°; tibial rotation was overwhelmingly referenced to Akagi’s line, and femoral rotation to the TEA in most series. Reported guardrails showed strong convergence: typical workflows included femoral valgus −3° to +6°, tibial varus 0–6°, tibial slope 0–3°, and femoral ER ~3–6° to TEA. Across cohorts, achieved radiographs closely tracked these limits, indicating high adherence and reproducibility. Most observational studies had a moderate risk of bias; the lone RCT was low risk. Discussion: Robotic FA-TKA delivers a radiographic profile with slight femoral valgus and modest tibial varus, while keeping components within narrow, pre-specified guardrails. Level of evidence: Level III, systematic review and meta-analysis.
Key words: Total knee arthroplasty / Functional positioning / Functional alignment / Robotic-assisted TKA / Component positioning
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
