# Knee kinesiography in 2026: Current and future applications for digital orthopaedics and personalised total knee arthroplasty: A narrative review

**Authors:** Clément Favroul, Alix Cagnin, Cécile Batailler, Sébastien Lustig

PMC · DOI: 10.1002/jeo2.70674 · Journal of Experimental Orthopaedics · 2026-02-27

## TL;DR

KneeKG system uses dynamic knee movement data to personalize knee replacement surgery and improve patient outcomes through better preoperative planning and postoperative rehabilitation.

## Contribution

The paper introduces how KneeKG shifts knee replacement surgery from static to dynamic, function-focused personalization, enhancing surgical and rehabilitation outcomes.

## Key findings

- KneeKG quantifies dynamic knee parameters to inform preoperative planning and surgical decisions.
- Postoperative KneeKG assessments reveal residual deficits and guide targeted rehabilitation.
- Function-focused rehabilitation improves recovery, patient satisfaction, and long-term outcomes.

## Abstract

Knee Kinesiography, using the KneeKG system, delivers clinically feasible, weight‐bearing (WB) three‐dimensional knee kinematics and is shifting total knee arthroplasty (TKA) from static templating to function‐focused personalisation. This narrative review synthesises how KneeKG applications changed pre‐ and postoperative care and how these changes can translate into better patient outcomes. Preoperatively, KneeKG quantifies dynamic alignment, varus thrust, dynamic flexion contracture, pivot pattern, tibiofemoral translation, and tibial rotation during gait, defining a functional profile that relates to symptoms and can inform alignment philosophy, bearing selection, and soft‐tissue strategy. When coupled with navigation or robotics, these data allow the anticipation of mid‐flexion balance requirements while enabling surgeons to set functional targets more likely to yield natural, stable knee in WB condition. A KneeKG‐guided prehabilitation pathway also facilitates the recalibration of expectations before surgery and can improve early patient‐reported outcomes. Postoperatively, KneeKG audits whether intraoperative parameters (e.g., achieved gaps, implant components, etc.) translate into the intended dynamic behaviour, verifies bearing‐intended pivot during WB tasks, and reveals modifiable residual deficits—such as persistent thrust, stiff‐knee gait, valgus collapse, or excessive external tibial rotation—to target with therapy. Function‐focused rehabilitation programmes anchored on a KneeKG exam demonstrated acceleration of recovery, increase in outcome scores, satisfaction, and raise of the proportion of patients reaching a patient acceptable symptom state, with benefits maintained beyond one year in subsets. Across the episode of care, KneeKG provides a common functional language that links preoperative planning, intraoperative execution, and postoperative rehabilitation, allowing teams to iterate from plan to performance and to close the loop between digital precision and real‐world function. By operationalizing dynamic information at the point of care, this exam supports surgeons towards more accurate decisions, more predictable execution, and more personalised rehabilitation; ultimately improving patient‐centred results after TKA.

Level V, narrative review.

## Full-text entities

- **Diseases:** varus (MESH:D060905), PASS (MESH:D012816), knee arthroplasty (MESH:D007718), valgus collapse (MESH:D001261), Knee injury and Osteoarthritis (MESH:D020370), functional deficits (MESH:D001289), infection (MESH:D007239), Laxity (MESH:D007593), varus-valgus (MESH:D060906), internal (MESH:D000082122), instability (MESH:D043171), pain (MESH:D010146), metal allergy (MESH:D013651), JLO (MESH:C537736), weakness (MESH:D018908), PCL (MESH:D008209), postoperative pain (MESH:D010149), functional (MESH:D003291), excessive external tibial rotation (MESH:D009759), frontal malalignment (MESH:D017760), cartilage damage (MESH:D002357), contracture (MESH:D003286), AAOS (MESH:D006478), OA (MESH:D010003)
- **Chemicals:** FKP (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Cell lines:** KOOS-JR — Homo sapiens (Human), Alveolar rhabdomyosarcoma, Cancer cell line (CVCL_RT33)

## Full text

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## Figures

3 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12948331/full.md

## References

66 references — full list in the complete paper: https://tomesphere.com/paper/PMC12948331/full.md

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Source: https://tomesphere.com/paper/PMC12948331