Evidence map›Paper›PMID 41584545›Full record

ArticleJSES international2025

Two-dimensional magnetic resonance imaging sequences correlate to three-dimensional computed tomography for evaluation of glenoid bone loss.

Scott M Feeley, Shankar S Thiru, Benjamin E Neubauer, Rachel E Cherelstein, Christopher M Kuenze, Udit Rawat, Edward S Chang

Abstract read
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Article in JSES international, 2025. 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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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

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Scott M FeeleyWalter Reed National Military Medical Center, Department of Orthopaedic Surgery, Bethesda, MD, USA.
Shankar S ThiruGeorgetown University School of Medicine, Washington, DC, USA.
Benjamin E NeubauerEastern Virginia Medical School, Norfolk, VA, USA.
Rachel E CherelsteinInova Sports Medicine, Falls Church, VA, USA.
Christopher M KuenzeInova Sports Medicine, Falls Church, VA, USA.
Udit RawatFairfax Radiological Consultants, Fairfax, VA, USA.
Edward S ChangInova Sports Medicine, Falls Church, VA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To correlate two-dimensional (2D) fast-imaging employing steady-state acquisition (FIESTA) magnetic resonance imaging protocols with three-dimensional (3D) computed tomography (CT) for calculation of glenoid bone loss (GBL). FIESTA is a high-resolution protocol with high contrast, high signal-to-noise ratio, and sharp edge definition. Methods: We included patients who underwent a shoulder stabilization procedure from 2010 to 2023 with 2D FIESTA and 2D proton density fat-saturation (PD FS) magnetic resonance arthrogram sequences as well as 3D CT of the shoulder. We excluded patients with history of prior shoulder surgery or posterior instability, if the CT and magnetic resonance imaging were >90 days apart or if there was a documented instability event between imaging studies. Two raters calculated the primary outcome of GBL by the perfect-circle linear method twice for each modality separated by 3 weeks. Intrarater and inter-rater reliabilities were calculated. We analyzed linear regression models and concordance correlation coefficients between modalities. Results: Twelve patients were analyzed. Overall mean GBL by imaging modality was 12.1 ± 11.2% on PD FS, 11.8 ± 10.0% on FIESTA, and 11.5 ± 9.7% on 3D CT. GBL had excellent intrarater and inter-rater reliabilities (>0.9) on all modalities. For GBL, concordance correlation coefficients were 0.982 (95% CI 0.960-0.992) for PD FS vs. CT and 0.998 (95% CI 0.993-0.999) for FIESTA vs. CT. Linear regression models improved both PD FS and FIESTA accuracy to within 0.6% of CT-calculated GBL 95% of the time. Conclusion: 2D FIESTA magnetic resonance arthrogram is a suitable alternative to 3D CT reconstruction for calculation of GBL and slightly outperformed PD FS sequences.

Indexed as

CTFIESTAGBLMRIPD FSShoulder instability

Identifiers

PMID41584545
PMCPMC12828184

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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.