Evidence map›Paper›PMID 41653229›Full record

ArticleInternational orthopaedics2026

Customized positioning of the glenoid component in reverse shoulder arthroplasty: a new computer aided design methodology.

Antonino Cirello, Tommaso Ingrassia, Giuseppe Rovere, Lorenzo Nalbone, Lawrence Camarda, Igor Agostino Mirulla, Vincenzo Nigrelli, Vito Ricotta, Micol Tantillo

Abstract read
In one paragraph

Article in International orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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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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

1 citing paper in PubMed.

  1. Article
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

9 authors.

Antonino CirelloDepartment of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 8, Palermo, Italy.
Tommaso IngrassiaDepartment of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 8, Palermo, Italy.
Giuseppe RovereTor Vergata University Hospital (Policlinico Tor Vergata), Roma, Italy. rovere292@hotmail.com.
Lorenzo NalboneDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, Palermo, Italy.
Lawrence CamardaDepartment of Precision Medicine in Medical, Surgical and Critical Care (Me.Pre.C.C.), University of Palermo, Palermo, Italy. lawrence.camarda@unipa.it.
Igor Agostino MirullaDepartment of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 8, Palermo, Italy.
Vincenzo NigrelliDepartment of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 8, Palermo, Italy.
Vito RicottaDepartment of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 8, Palermo, Italy.
Micol TantilloDepartment of Engineering, Università degli Studi di Palermo, Viale delle Scienze Ed. 8, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeReverse Shoulder Arthroplasty (RSA) is widely used to treat shoulder joint pathologies. However, this procedure may result in reduced range of motion (ROM), scapular notching, and prosthetic instability. These complications vary among patients, highlighting the need for individualized preoperative planning. This study introduces a novel parametric methodology to determine optimal glenoid component positioning by evaluating ROM, instability ratio, and the percentage of bone resected.

methodThe proposed approach was applied to four patient models treated with two prosthetic designs. The methodology consists of four steps within a patient-specific parametric tool: 3D anatomical reconstruction, virtual surgical planning, biomechanical and geometric evaluation, and identification of optimal configurations. Fifteen glenoid component orientations were generated by varying tilt angles. The best configurations were identified based on ROM and instability assessments, while bone resection volume was calculated as an additional parameter.

resultsMaximum values of abduction-adduction, internal rotation, and external rotation were 87.23°, 90°, and 70.59°, respectively, although not achieved in a single configuration. Instability ratios ranged from 0.23 to 0.62. Bone resection varied between 0.4% and 5.5%, depending on the configuration.

conclusionsThis methodology provides a patient-specific framework to support preoperative planning in RSA. By combining ROM analysis, instability assessment, and bone preservation, the approach enables the identification of glenoid component orientations that improve mobility while minimizing instability risk and surgical invasiveness.

Indexed as

Arthroplasty, Replacement, ShoulderComputer-Aided DesignProsthesis DesignShoulder JointShoulder ProsthesisBiomechanical PhenomenaGlenoid CavityHumansImaging, Three-DimensionalJoint InstabilityRange of Motion, ArticularCAD-based planningGlenoid positioningJoint stabilityPatient-specific modelingRange of motionReverse shoulder arthroplasty

Identifiers

PMID41653229
PMCPMC12992450

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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.