Evidence map›Paper›PMID 42292137›Full record

ArticleJSES international2026

Alexander view as a stand-alone alternative to standard anteroposterior imaging for treatment decisions in acute acromioclavicular joint dislocation.

Leopold Henssler, Luis Huber, Lisa Klute, Jonas Krueckel, Andreas Voss, Volker Alt, Maximilian Kerschbaum

Abstract read
In one paragraph

Article in JSES international, 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

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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

7 authors.

Leopold HensslerUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.
Luis HuberUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.
Lisa KluteUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.
Jonas KrueckelUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.
Andreas VossUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.
Volker AltUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.
Maximilian KerschbaumUniversity Hospital Regensburg, Department of Trauma Surgery, Regensburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To determine whether treatment decision-making in acromioclavicular joint injuries is possible using only Alexander views with diagnostic reliability comparable to conventional pre-operative imaging. Methods: Patients with acute first-time acromioclavicular joint injuries (Rockwood II-V) at 2 specialized centers (January 2019-June 2024) were retrospectively reviewed. Inclusion required complete pre-operative imaging consisting of either a panoramic view or bilateral Zanca views, plus at least one pre-operative modified Alexander stress view. A reference classification was established using coracoclavicular distance measurements, supplemented by the modified Alexander projection. Patients were stratified into a nonoperative group (Rockwood II-IIIA) and a potentially operative group (Rockwood IIIB-V). Modified circle measurements were performed for Alexander views. Three independent surgeons first assessed all cases using anteroposterior radiographs plus Alexander view and again after a 2-week washout period using only the Alexander view and recommended operative or nonoperative treatment. Inter-rater and intrarater reliability, diagnostic accuracy relative to the reference classification, and the correlation between circles values and injury severity were calculated. Receiver operating characteristic analyses were conducted to determine cutoff values for distinguishing higher-grade injuries. Results: 54 patients met inclusion criteria. Using complete imaging, raters demonstrated a sensitivity of 95.1% and specificity of 90.1% for treatment allocation with substantial inter-rater agreement (κ = 0.653). Using only Alexander views, diagnostic performance remained high (sensitivity 87.7%, specificity 90.1%) with substantial inter-rater (κ = 0.753) and substantial to almost perfect intrarater reliability (κ = 0.779-0.852). Modified circles values correlated strongly with injury severity (τ = 0.753, Conclusion: The Alexander view alone enabled accurate identification of high-grade instability as defined by Rockwood's classification and supported treatment decisions comparable to standard anteroposterior imaging. These findings suggest that routine panorama or Zanca views may not be required for decision-making in acute AC joint injuries.

Indexed as

Acromioclavicular jointAlexander viewCircle measurementHorizontal instabilityRockwood classificationShoulder injury

Identifiers

PMID42292137
PMCPMC13264351

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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.