Evidence map›Paper›PMID 34316529›Full record

ArticleJB & JS open access

Augmented Reality-Assisted Femoral Bone Resection in Total Knee Arthroplasty.

Sachiyuki Tsukada, Hiroyuki Ogawa, Masahiro Nishino, Kenji Kurosaka, Naoyuki Hirasawa

Abstract read
In one paragraph

Article in JB & JS open access. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. The Integration of Extended Reality in Arthroplasty: Reviewing Technological Progress and Clinical Benefits.Federal practitioner : for the health care professionals of the VA, DoD, and PHS · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Robotic Total Knee Arthroplasty: An Update.Journal of personalized medicine · 2024
    Review
  15. Article
  16. Review
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  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sachiyuki TsukadaDepartment of Orthopaedic Surgery, Hokusuikai Kinen Hospital, Mito, Japan.ORCID 0000-0002-1186-5232
Hiroyuki OgawaDepartment of Orthopaedic Surgery, Hokusuikai Kinen Hospital, Mito, Japan.ORCID 0000-0002-0370-835X
Masahiro NishinoDepartment of Orthopaedic Surgery, Hokusuikai Kinen Hospital, Mito, Japan.ORCID 0000-0001-6144-0374
Kenji KurosakaDepartment of Orthopaedic Surgery, Hokusuikai Kinen Hospital, Mito, Japan.ORCID 0000-0002-1203-4393
Naoyuki HirasawaDepartment of Orthopaedic Surgery, Hokusuikai Kinen Hospital, Mito, Japan.ORCID 0000-0002-8468-8521

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An augmented reality (AR)-based navigation system allows visualization of the center of the femoral head and femoral mechanical axis superimposed on the surgical field during total knee arthroplasty (TKA) and may help surgeons to improve the accuracy of distal femoral resection.

methodsFirst, we resected 10 femoral Sawbones specimens using the AR-based navigation system and performed computed tomography (CT) to measure the resection angle of the distal part of the femur. We calculated the absolute values of the differences between angles measured using CT images and angles displayed on the smartphone screen of the navigation system. Second, we measured coronal alignment using standing long-leg radiographs for 72 patients undergoing TKA and compared the error in the resection angle between TKA using the AR-based navigation system and that using a conventional intramedullary guide.

resultsIn the experimental study, the absolute values of the differences between angles measured on CT images and angles displayed using the AR-based navigation system were 0.8° ± 0.5° (range, 0.3° to 1.9°) in the coronal plane and 0.6° ± 0.5° (range, 0.0° to 1.4°) in the sagittal plane. In the clinical study, the mean absolute value of the error in coronal alignment was significantly smaller in the AR-based navigation group than the intramedullary-guide group (1.1° ± 1.0° [range, 0.0° to 3.2°] compared with 2.2° ± 1.6° [range, 0.0° to 5.5°], respectively; 95% confidence interval, 0.5° to 1.8°; p < 0.001).

conclusionsThe AR-based navigation system may enable surgeons to perform distal femoral resection more accurately than with the conventional intramedullary guide during TKA. CLINICAL RELEVANCE: This study validates the use of AR technology to enhance the precision of bone resection in TKA.

Identifiers

PMID34316529
PMCPMC8301282

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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.