Application and postoperative rehabilitation effects of HURWA, Cori, and Brainlab robots in TKA under the ERAS concept

As science and technology continue to progress, the variety and number of robots used in assisted total knee arthroplasty (TKA) have steadily increased, allowing more surgeons and patients to benefit from enhanced medical precision and improved knee joint function, ultimately leading to a better quality of life. This retrospective study compared the outcomes of 164 patients undergoing total knee arthroplasty (TKA), either conventionally or assisted by one of three robotic systems (Brainlab, HURWA, or Stryker Cori), all within an Enhanced Recovery After Surgery (ERAS) protocol. Whilst robotic groups had longer incisions and the Brainlab system required more time, the domestic HURWA robot demonstrated superior performance in achieving optimal FFC and LFC angles. By postoperative day 3, the Brainlab group reported higher pain scores, but this difference resolved by 90 days. Crucially, there were no significant differences in final knee function (KSS, ROM), inflammatory markers, blood loss, complication rates, or patient satisfaction (all > 95%) between any groups. The findings indicate that despite early variations, all three robotic systems facilitate effective recovery and satisfactory clinical outcomes comparable to conventional TKA under ERAS, without increasing perioperative risks.

Authors

Institutions

Publication Details

Journal
Journal of Robotic Surgery
Published
2025-10-09
DOI
https://doi.org/10.1007/s11701-025-02859-4
Citations
1
Primary Topic
Total Knee Arthroplasty Outcomes
Type
article
Field-Weighted Citation Impact
2.01

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Application and postoperative rehabilitation effects of HURWA, Cori, and Brainlab robots in TKA under the ERAS concept

Hongping Wang, Xiantao Song, Yuping Lan, Mingyou Wang et al.
1 citations
Journal of Robotic Surgery
Total Knee Arthroplasty Outcomes
2.01
article

Application and postoperative rehabilitation effects of HURWA, Cori, and Brainlab robots in TKA under the ERAS concept

Hongping Wang, Xiantao Song, Yuping Lan, Mingyou Wang, Mingli Wang, Ruiqi Lan, Zhuodong Tang
article en
1 citations

Abstract

As science and technology continue to progress, the variety and number of robots used in assisted total knee arthroplasty (TKA) have steadily increased, allowing more surgeons and patients to benefit from enhanced medical precision and improved knee joint function, ultimately leading to a better quality of life. This retrospective study compared the outcomes of 164 patients undergoing total knee arthroplasty (TKA), either conventionally or assisted by one of three robotic systems (Brainlab, HURWA, or Stryker Cori), all within an Enhanced Recovery After Surgery (ERAS) protocol. Whilst robotic groups had longer incisions and the Brainlab system required more time, the domestic HURWA robot demonstrated superior performance in achieving optimal FFC and LFC angles. By postoperative day 3, the Brainlab group reported higher pain scores, but this difference resolved by 90 days. Crucially, there were no significant differences in final knee function (KSS, ROM), inflammatory markers, blood loss, complication rates, or patient satisfaction (all > 95%) between any groups. The findings indicate that despite early variations, all three robotic systems facilitate effective recovery and satisfactory clinical outcomes comparable to conventional TKA under ERAS, without increasing perioperative risks.

Journal of Robotic SurgeryVol. 19(1)
Panzhihua Central Hospital (CN)
Bijzonder Onderzoeksfonds UGent
Openalex Percentile: Top 11%
Total Knee Arthroplasty Outcomes
2.01
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.