Evidence map›Paper›PMID 39666089›Full record

ArticleArchives of orthopaedic and trauma surgery2024

Accuracy of leg length changes in total hip arthroplasty using a computed tomography-based augmented reality navigation system.

Gai Kobayashi, Shintaro Ichikawa, Shine Tone, Yohei Naito, Akihiro Sudo, Masahiro Hasegawa

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Article in Archives of orthopaedic and trauma surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Gai KobayashiDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Shintaro IchikawaDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Shine ToneDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Yohei NaitoDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Akihiro SudoDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Masahiro HasegawaDepartment of Orthopaedic Surgery, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan. masahase@clin.medic.mie-u.ac.jp.ORCID http://orcid.org/0000-0001-7948-2003

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionLeg length is an important consideration in total hip arthroplasty (THA) as leg length discrepancies (LLD) after THA cause poor outcomes and medical litigation. This study aimed to investigate the accuracy of computed tomography (CT)-based navigation with augmented reality (AR) technology for measuring intra-operative leg length change using anteroposterior radiography (two-dimensional, 2D) and CT (three-dimensional, 3D). MATERIALS AND

methodsThis study included 71 patients (75 hips) who underwent primary cementless THA in the supine position between June 2022 and November 2023 using the HoloNavi One. To assess the accuracy of the HoloNavi One based on 2D and 3D measurements, the absolute error between the intra-operative leg length change and the 2D and 3D measurements was evaluated, and the correlations were investigated. Additionally, factors affecting the absolute error were examined using multivariate analysis.

resultsThe mean intra-operative leg length change when using the HoloNavi One was 6.5 ± 5.0 mm, while the mean leg length change on the 2D and 3D measurements were 5.9 ± 4.8 mm and 4.6 ± 5.7 mm, respectively. The mean absolute errors were 2.3 ± 2.7 mm between the HoloNavi One and 2D measurements, and 3.8 ± 3.3 mm between HoloNavi One and 3D measurements. The absolute errors in leg length changes for the 3D measurements were greater than those for the 2D measurements (p < 0.01). Positive correlations of leg length changes were found between the HoloNavi One and the 2D and 3D measurements. In the multiple regression analysis, no significant factors affecting the absolute error were identified in either the 2D or 3D measurements.

conclusionsCT-based navigation with AR technology in the supine position provided acceptable accuracy for leg length change measurements.

Indexed as

Arthroplasty, Replacement, HipAugmented RealityLeg Length InequalityTomography, X-Ray ComputedAdultAgedAged, 80 and overFemaleHumansImaging, Three-DimensionalMaleMiddle AgedRetrospective StudiesSurgery, Computer-AssistedSurgical Navigation SystemsAugmented reality technologyComputed tomography-based navigationLeg lengthThree-dimensionalTotal hip arthroplastyTwo-dimensional

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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.