Evidence map›Paper›PMID 40833637›Full record

ArticleArchives of orthopaedic and trauma surgery2025

Intraoperative evaluation of bone resection accuracy in total knee arthroplasty using an augmented reality-based navigation system.

Atsushi Sato, Masataka Ota, Toshiharu Miyazawa, Misako Takizawa, Reo Nagasaka, Marika Mukunoki, Kanako Izukashi, Jun Oike, Takayuki Okumo, Saki Yagura and 2 more

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Article in Archives of orthopaedic and trauma surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Atsushi SatoShowa Medical University Fujigaoka Hospital, Yokohama, Japan. atsushi@med.showa-u.ac.jp.
Masataka OtaShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Toshiharu MiyazawaShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Misako TakizawaShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Reo NagasakaShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Marika MukunokiShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Kanako IzukashiShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Jun OikeShowa Medical University Koto Toyosu Hospital, Tokyo, Japan.
Takayuki OkumoShowa Medical University School of Medicine, Tokyo, Japan.
Saki YaguraShowa Medical University Fujigaoka Hospital, Yokohama, Japan.
Takayuki KoyaShowa Medical University Koto Toyosu Hospital, Tokyo, Japan.
Koji KanzakiShowa Medical University Fujigaoka Hospital, Yokohama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionComputer-assisted surgery (CAS) in total knee arthroplasty (TKA) has seen growing adoption, with over 30% of primary TKA procedures in Japan using CAS as of 2021. Augmented reality (AR) navigation has emerged as a novel alternative, providing real-time visualization and high-precision guidance during surgery. However, standardized protocols, long-term outcomes, and quantitative accuracy data remain limited. This study aimed to evaluate the intraoperative bone resection accuracy achieved with an AR-based navigation system during TKA.

methodsWe retrospectively analyzed 100 knees that underwent primary TKA using the NextAR navigation system (Medacta International SA, Switzerland). Bone resection accuracy was assessed by comparing intraoperative cut angles and thicknesses to preoperative plans. Evaluated parameters included femoral coronal, sagittal, and rotational angles; distal and posterior resection thicknesses (medial/lateral); tibial coronal, posterior slope, and rotational angles; tibial resection thicknesses (medial/lateral); and implant size concordance.

resultsMean absolute differences from preoperative plans were as follows: femoral coronal angle 0.46° ± 0.48°, sagittal angle 0.72° ± 0.61°, and rotational angle 0.30° ± 0.33°; distal cut thickness 0.56 ± 0.46 mm (medial) and 0.54 ± 0.49 mm (lateral); posterior condyle cut thickness 0.23 ± 0.35 mm (medial) and 0.35 ± 0.44 mm (lateral). Tibial parameters showed coronal error of 0.64° ± 0.56°, posterior slope 0.66° ± 0.55°, and rotation 0.25° ± 0.60°; resection thickness 0.73 ± 0.69 mm (medial) and 0.79 ± 0.75 mm (lateral). Implant size matched 100% with preoperative planning.

conclusionThe AR-based navigation system enabled precise three-dimensional intraoperative assessment and execution of bone resections in TKA. All angular and thickness errors remained within 1° and 1 mm, respectively, confirming high reproducibility and precision across multiple planes.

Indexed as

Arthroplasty, Replacement, KneeAugmented RealitySurgery, Computer-AssistedAgedAged, 80 and overFemaleFemurHumansMaleMiddle AgedRetrospective StudiesTibiaAugmented reality navigationBone resection accuracyComputer-assisted surgeryOrthopedic technologyThree-dimensional planningTotal knee arthroplasty

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.