Evidence map›Paper›PMID 42490312›Full record

ArticleProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2026

A CAD-to-Simulink framework for evaluating impingement-free motion in reverse total shoulder arthroplasty.

Mercy Ombogo, John Medley, G Daniel G Langohr, Naveen Chandrashekar

Abstract read
In one paragraph

Article in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Mercy OmbogoDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, ON, Canada.ORCID 0009-0009-7548-3450
John MedleyDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, ON, Canada.
G Daniel G LangohrDepartment of Mechanical and Materials Engineering, Western University, London, ON, Canada.
Naveen ChandrashekarDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, ON, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate characterization of impingement-free range of motion (ROM) following reverse total shoulder arthroplasty (RTSA) is essential for implant design and surgical planning. Existing computational methods often rely on mesh-overlap or clearance-based estimations, which can limit geometric accuracy. This study introduces and validates a CAD-to-Simulink computational pipeline that predicts impingement-free ROM using a high-resolution, point-cloud-based collision detection approach. Computer models of shoulder bony anatomy and generic RTSA implant components were assembled in SolidWorks and exported to MATLAB. Automated scripts executed humeral motion sweeps across planes of elevation. Point clouds were seeded on the acromion, coracoid, and scapular neck and used to detect impingement when penetration depth ≥1 mm. Three neck-shaft angles (155°, 145°, 135°) were evaluated. The 155° configuration was validated experimentally using additive manufactured monoblocs mounted on a custom-made frame under a 15 N compressive load. Sensitivity analyses examined the influence of point cloud density and spacing on impingement detection accuracy. Computational results demonstrated that decreasing the neck-shaft angle from 155° to 135° increased impingement-free ROM across evaluated planes, with improvements of up to 23°. This gain was attributed to delayed inferior impingement during adduction. Experimental validation closely aligned with predictions, showing impingement at 61.4° (superior) and 20.9° (inferior), compared to predicted values of 61.4° and 21.0°. Sensitivity analyses highlighted the importance of point cloud placement along key scapular regions. The CAD-to-Simulink framework provides a validated, reproducible, Finite Element Method independent prediction of impingement-free ROM, providing a kinematically accurate tool to optimize implant geometry and surgical positioning in RTSA.

Indexed as

Arthroplasty, Replacement, ShoulderComputer-Aided DesignRange of Motion, ArticularComputer SimulationHumanscontact detectionimpingement-free range of motion assessmentimplant design optimizationkinematic modelingMATLABneck-shaft anglereverse total shoulder arthroplastySimulink

Identifiers

PMID42490312
PMCPMC13578653

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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.