Evidence map›Paper›PMID 41326894›Full record

ArticleInternational journal of computer assisted radiology and surgery2026

A biomechanical digital twin of Legg-Calvé-Perthes disease deformity.

Luke G Johnson, David R Wilson, Kishore Mulpuri

Abstract read
In one paragraph

Article in International journal of computer assisted radiology and surgery, 2026. 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
0cells of the map it votes in
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

3 authors.

Luke G JohnsonSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-4457-1644
David R WilsonDepartment of Orthopaedics, University of British Columbia, Vancouver, BC, Canada. david.wilson@ubc.ca.ORCID http://orcid.org/0000-0001-6893-0894
Kishore MulpuriBC Children's Hospital Research Institute, Vancouver, BC, Canada.ORCID http://orcid.org/0000-0002-7713-6278

Funding

Arthritis Society TGP22-0149CIHR 165956
6 · The paper itself

Abstract

purposeThe dynamic stress environment in the hip joint is thought to contribute to pain and osteoarthritis (OA) in people with Legg-Calvé-Perthes disease (LCPD) deformity, but is poorly understood, limiting clinical management options. The objective of this study was to develop and evaluate a patient-specific biomechanical "digital twin" model of LCPD to predict chondrolabral shear stress in dynamic and static loading scenarios.

methodsWe produced a digital twin model of both hips in a patient with unilateral LCPD deformity using anatomical magnetic resonance imaging (MRI) and the ArtiSynth modeling platform. We evaluated the model's sensitivity to changes in material properties and joint angles during a typical gait cycle, and verified its stress and femoral translation predictions against upright open MRI of the hip in high-flexion postures.

resultsThe model's prediction of the highest chondrolabral shear stress during a gait cycle was 22-93% greater in the LCPD hip than in the unaffected hip. The model was sensitive to changes in material parameters and joint angles, but could accurately reproduce femoral translation and expected stress distribution in extreme static postures.

conclusionThis study demonstrates the importance of both dynamic motion and morphology in the stress environment of highly aspherical hip joints. Although some challenges remain, digital twin models are a promising tool to study the long-term outcomes of LCPD, and could be applied in future to aid clinical management.

Indexed as

Hip JointLegg-Calve-Perthes DiseaseMagnetic Resonance ImagingBiomechanical PhenomenaFemaleGaitHumansMaleStress, MechanicalArticular cartilageBiomechanicsDigital twin modelLegg–Calvé–Perthes diseaseOsteoarthritis

Identifiers

PMID41326894
PMCPMC13194310

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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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 Socratic graph.