Evidence map›Paper›PMID 40092621›Full record

ArticleFoot & ankle orthopaedics2025

2B or not 2B, should this not be the question? Comparison of 3D Surface Rendering CT to Plain Radiographs for Characterization of Posterior Malleolar Fracture Morphology.

Laura-Ann Lambert, Howard Stringer, Lizzy Weigelt, Lois Duncan, Jake Cowen, Lyndon Mason

Abstract read
In one paragraph

Article in Foot & ankle orthopaedics, 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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0citing papers 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

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

6 authors.

Laura-Ann LambertTrauma and Orthopaedic Department, Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.
Howard StringerTrauma and Orthopaedic Department, Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.
Lizzy WeigeltTrauma and Orthopaedic Department, Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-2747-2310
Lois DuncanUniversity of Liverpool, Liverpool, United Kingdom.
Jake CowenTrauma and Orthopaedic Department, Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0003-2819-6060
Lyndon MasonTrauma and Orthopaedic Department, Liverpool University Hospitals NHS Foundation Trust, Liverpool, United Kingdom.ORCID https://orcid.org/0000-0002-0371-3183

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to compare plain lateral radiographs and 3D surface rendering (SR) CT imaging, in the characterization of posterior malleolar fracture (PMF) morphology using the Mason and Molloy classification. The null hypothesis was that there was no difference in characterization of morphology between plain radiographs and 3D SR CT. Methods: Morphology of the PMF was categorized initially by the CT scan as classified by Mason and Molloy on 180 trimalleolar ankle fractures. PM fracture fragment size on the lateral radiograph were compared to their respective 3D surface rendering CT reconstructions, by two independent observers. Morphology of the PMF was assessed using all preoperative radiographs as compared to 3D SR CT. Results: On comparison of fracture fragment morphology, all fractures had poor categorization by plain radiographs although rotational pilon fractures (type 2A and 2B fractures) had the worse sensitivity and specificity (below 33% and below 50%, respectively). Radiographs underestimated joint involvement in type 2B fracture patterns because of the underappreciation of the posteromedial fragment. Conclusion: This study shows that the use of plain radiographs to categorize morphology of PMFs is poor. The study adds to the ever-growing body of evidence on the inaccuracy of using plain radiographs in PMFs to plan treatment. Additional CT imaging is imperative to allow for appropriate treatment planning in the management of PMF. Smaller fracture fragments are more susceptible to inaccuracies, especially the rotational pilon subtypes (2A and 2B) because of the obliquity of the posteromedial fragment to the plane of the X-ray source. Level of Evidence: Level III, retrospective comparative study.

Indexed as

ANKLE fractureCTfragment sizemorphologyposterior malleolar fracture

Identifiers

PMID40092621
PMCPMC11909655

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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.