Evidence map›Paper›PMID 42316373›Full record

ArticleBMC musculoskeletal disorders2026

Validation of a 3D planning tool for glenoid bone loss evaluation in revision anatomic total shoulder arthroplasty.

Mara Warnhoff, Florian Freislederer, Julia Högl, Daniela Brune, Asimina Lazaridou, Markus Scheibel

Abstract readValidation Study
In one paragraph

Article in BMC musculoskeletal disorders, 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

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Mara Warnhoff *Department of Shoulder and Elbow Surgery, Schulthess Clinic, Lengghalde 2, Zurich, 8008, Switzerland.
Florian Freislederer *Department of Shoulder and Elbow Surgery, Schulthess Clinic, Lengghalde 2, Zurich, 8008, Switzerland.
Julia HöglDepartment of Shoulder and Elbow Surgery, Schulthess Clinic, Lengghalde 2, Zurich, 8008, Switzerland.
Daniela BruneDepartment of Shoulder and Elbow Surgery, Schulthess Clinic, Lengghalde 2, Zurich, 8008, Switzerland.
Asimina LazaridouDepartment of Shoulder and Elbow Surgery, Schulthess Clinic, Lengghalde 2, Zurich, 8008, Switzerland.
Markus ScheibelDepartment of Shoulder and Elbow Surgery, Schulthess Clinic, Lengghalde 2, Zurich, 8008, Switzerland. markus.scheibel@charite.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccurate preoperative assessment of glenoid bone loss is critical in revision shoulder arthroplasty. The aim of this study was to evaluate the reliability of the Blueprint Revision 3D-CT planning software (Stryker, Kalamazoo, MI, USA) by comparing preoperative reconstructions with intraoperative findings. Agreement between preoperative and intraoperative assessments was analyzed for glenoid containment status, comparing 2D-CT and 3D reconstructed images derived from CT imaging (3D-CT) with intraoperative findings.

methodsForty-seven patients undergoing revision of the same stemless anatomic total shoulder arthroplasty with a cemented polyethylene glenoid component were included in this analysis. Glenoid bone defects were classified using the established systems according to Antuña and Williams-Iannotti. Defect containment (contained vs. uncontained) was assessed preoperatively using 3D-CT and 2D-CT imaging and compared with intraoperative findings. Agreement between different imaging methods was evaluated using Cohen's kappa coefficient (κ).

resultsThe most common indication for revision was glenoid loosening (79%), with a mean time to revision of 7 ± 3 years. Intraoperative evaluation classified 68.1% of glenoid defects as contained, which was correctly depicted in 80.9% of 3D-CT and 65.9% of 2D-CT. Agreement between 3D-CT and intraoperative findings was moderate (κ = 0.58, 80.9%) and outperformed 2D-CT (κ = 0.37, 65.9%). Agreement between 3D-CT and 2D-CT was also moderate (κ = 0.48, 72.3%).

conclusion3D-CT-based preoperative planning using Blueprint Revision demonstrates higher agreement with intraoperative findings compared to traditional 2D imaging. These findings support the value of advanced 3D planning tools in evaluating glenoid containment and guiding surgical decision-making in revision shoulder arthroplasty.

Indexed as

Arthroplasty, Replacement, ShoulderGlenoid CavityImaging, Three-DimensionalShoulder JointTomography, X-Ray ComputedAgedAged, 80 and overFemaleHumansMaleMiddle AgedProsthesis FailureReoperationReproducibility of ResultsRetrospective StudiesShoulder ProsthesisGlenoid defectPreoperative planning softwareRevisionShoulder arthroplasty

Identifiers

PMID42316373
PMCPMC13531828

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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.