[Interpretation of the 2026 Asia-Pacific Expert Consensus on Robotic-assisted Hip and Knee Arthroplasty: From precise execution to individualized decision-making].

Authors

Yue Song, Hongbin Xie, Jiafeng Yi, Hao Li, Zhuo Zhang, Shaokui Nan, Wei Chai

Published in

Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery. Volume 40. Issue 10. Pages 1474-1479. Oct 15, 2026.

Abstract

In 2026, the Arthroplasty Society in Asia (ASIA) published the Asia-Pacific Expert Consensus on Robotic-assisted Hip and Knee Arthroplasty, comprising 18 consensus statements. The corresponding author of this article participated in the whole process of consensus formulation. This article interprets the main recommendations according to total knee arthroplasty (TKA), total hip arthroplasty (THA), and unicompartmental knee arthroplasty (UKA). For TKA, robotic assistance improves the accuracy of bone resection, implant positioning, and alignment, and provides quantitative support for individualized alignment and pre-resection soft-tissue balancing; however, optimal alignment and balancing targets and their long-term clinical benefits remain uncertain. For THA, robotic assistance improves acetabular cup positioning and reconstruction of limb length and offset. Current evidence does not indicate an increased risk of infection, but reductions in dislocation or revision have not been demonstrated, and functional planning requires further validation. For UKA, robotic assistance reduces technical variation, and some clinical studies and registry data suggest possible improvements in functional outcomes and revision risk, although interpretation is influenced by patient selection and platform differences. Safe implementation also depends on structured training, the ability to troubleshoot and convert safely when necessary, and platform-specific long-term registries. Future studies should clarify which patients are most likely to benefit, what reconstruction targets should be selected, and whether technical precision translates into durable clinical value.

PMID:
42896985
Bibliographic data and abstract were imported from PubMed on 20 Oct 2026.

Read full publication at:
Please sign in to see all details.

Stats

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.