Evidence map›Paper›PMID 41495257›Full record

ArticleScientific reports2026

Automatic measurements of volar tilt and radial inclination of the distal radius on 3D models: validation against manual methods.

Emilia Gryska, Katleen Libberecht, Johan Andersson, Charlotte Stor Swinkels, Peter Axelsson, Anders Björkman

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2026. 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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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Emilia GryskaDepartment of Hand Surgery, Sahlgrenska University Hospital, Länsmansgatan 20, Mölndal, 431 30, Sweden. emilia.gryska@gu.se.
Katleen LibberechtDepartment of Hand Surgery, Sahlgrenska University Hospital, Länsmansgatan 20, Mölndal, 431 30, Sweden.
Johan AnderssonDepartment of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, Blå stråket 9A, Gothenburg, 413 46, Sweden.
Charlotte Stor SwinkelsDepartment of Hand Surgery, Sahlgrenska University Hospital, Länsmansgatan 20, Mölndal, 431 30, Sweden.
Peter AxelssonDepartment of Hand Surgery, Sahlgrenska University Hospital, Länsmansgatan 20, Mölndal, 431 30, Sweden.
Anders BjörkmanDepartment of Hand Surgery, Sahlgrenska University Hospital, Länsmansgatan 20, Mölndal, 431 30, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing distal radius malunions traditionally relies on measuring volar tilt and radial inclination in 2D radiographs. Reliability of these parameters is limited by projection errors and landmark ambiguity. Using 3D models allows more precise quantification of these parameters. This study validated an algorithm for measuring volar tilt and radial inclination on 3D virtual models of malunited and healthy radii. The algorithm establishes a 3D coordinate system and anatomical landmarks replicating conventional 2D definitions to maintain clinical compatibility. Automatic 3D measurements on models from 16 participants were compared with manual measurements on 2D radiographs (by three surgeons in consensus) and on 3D models (by two independent raters). Agreement was assessed using Bland-Altman analysis, and landmark discrepancies were quantified. Mean differences between automatic 3D and manual 2D measurements were small: for volar tilt, 2.0° in malunited and 3.5° in healthy radii; for radial inclination, 1.5° and 2.3°, respectively. Strong agreement was also found between automatic and manual 3D measurements. Landmark deviations ranged from 0.5 to 2.8 mm, with an average longitudinal axis difference of 2.5°. This open-source algorithm provides a reproducible 3D assessment of distal radius alignment. By closely matching 2D standards, the algorithm has a high potential for clinical integration.

Indexed as

Fractures, MalunitedImaging, Three-DimensionalRadiusRadius FracturesAdultAlgorithmsFemaleHumansMaleMiddle AgedRadiographyReproducibility of Results3DAnatomic landmarksAutomaticDistal radiusRadial inclinationVolar tilt

Identifiers

PMID41495257
PMCPMC12779976

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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.