Evidence map›Paper›PMID 40485815›Full record

ArticleArthroplasty today2025

Imageless vs Image-Based Computer Navigation in Total Hip Arthroplasty: An Intracase Comparison Shows Variability Between Technologies.

Joseph T Gibian, Ryan J Cone, Matthew Booth, Ling Chen, Kimberly A Bartosiak, Charles P Hannon, Ilya Bendich

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Article in Arthroplasty today, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Joseph T GibianDepartment of Orthopaedics, Washington University School of Medicine, St. Louis, MO, USA.
Ryan J ConeDepartment of Orthopaedics, Washington University School of Medicine, St. Louis, MO, USA.
Matthew BoothDepartment of Orthopaedics, Washington University School of Medicine, St. Louis, MO, USA.
Ling ChenInstitute for Informatics, Data Science and Biostatistics, Washington University School of Medicine, St. Louis, MO, USA.
Kimberly A BartosiakDepartment of Orthopaedics, Washington University School of Medicine, St. Louis, MO, USA.
Charles P HannonDepartment of Orthopedic Surgery, Mayo Clinic, Rochester, MN, USA.
Ilya BendichDepartment of Orthopaedics, Washington University School of Medicine, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of computer navigation in total hip arthroplasty (THA) is on the rise. Computer navigation has 2 commonly utilized modalities, imageless (ILCN) and image-based (IBCN). The aim of this study was to compare ILCN and IBCN inclination and anteversion measurements when utilized in the same THA case. Methods: One-hundred consecutive primary or revision posterior THAs in which both ILCN and IBCN were utilized in the same case were included. Intraoperative ILCN and IBCN acetabular component inclination and anteversion measurements were recorded. Mean inclination and anteversion measurements from intracase ILCN and IBCN were compared. Discordant cases (>5° differences) were recorded; linear regression was used to determine if any confounding factors were associated with an increased risk of discordance. Results: There was no significant difference in mean inclination or anteversion between ILCN and IBCN. However, in 21% and 32% of cases, inclination and anteversion measurements, respectively, were discordant between ILCN and IBCN. Body mass index ( Conclusions: This intracase comparison of ILCN and IBCN demonstrates that in over 20% of cases, measurements between the 2 technologies are discordant. Risk factors for discordance include lumbar spine fusion and increased body mass index.

Indexed as

Computer navigationEnabling technologyImage-based navigationImageless navigationTotal hip arthroplasty

Identifiers

PMID40485815
PMCPMC12142320

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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.