Evidence map›Paper›PMID 35831396›Full record

ArticleScientific reports2022

Varus stress MRI in the refined assessment of the posterolateral corner of the knee joint.

Malin Ciba, Eva-Maria Winkelmeyer, Justus Schock, Simon Westfechtel, Teresa Nolte, Matthias Knobe, Andreas Prescher, Christiane Kuhl, Daniel Truhn, Sven Nebelung

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
0.9field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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, 4 citations in OpenAlex.

  1. Review
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

10 authors at 3 institutions in 2 countries.

Malin CibaDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Eva-Maria WinkelmeyerDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Justus SchockDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Simon WestfechtelDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Teresa NolteDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Matthias KnobeMedical Faculty, University of Zurich, Zurich, Switzerland.
Andreas PrescherInstitute of Molecular and Cellular Anatomy, RWTH Aachen University, 52074, Aachen, Germany.
Christiane KuhlDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Daniel TruhnDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany.
Sven NebelungDepartment of Diagnostic and Interventional Radiology, Aachen University Hospital, Pauwels Street 30, 52074, Aachen, Germany. snebelung@ukaachen.de.
Universitätsklinikum Aachen · DERWTH Aachen University · DEUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) is commonly used to assess traumatic and non-traumatic conditions of the knee. Due to its complex and variable anatomy, the posterolateral corner (PLC)-often referred to as the joint's dark side-remains diagnostically challenging. We aimed to render the diagnostic evaluation of the PLC more functional by combining MRI, varus loading, and image post-processing in a model of graded PLC injury that used sequential transections of the lateral collateral ligament, popliteus tendon, popliteofibular ligament, and anterior cruciate ligament. Ten human cadaveric knee joint specimens underwent imaging in each condition as above, and both unloaded and loaded using an MR-compatible device that standardized loading (of 147 N) and position (at 30° flexion). Following manual segmentation, 3D joint models were used to computationally measure lateral joint space opening for each specimen, configuration, and condition, while manual measurements provided the reference standard. With more extensive ligament deficiency and loading, lateral joint spaces increased significantly. In conclusion, varus stress MRI allows comprehensive PLC evaluation concerning structural integrity and associated functional capacity. Beyond providing normative values of lateral compartment opening, this study has potential implications for diagnostic and surgical decision-making and treatment monitoring in PLC injuries.

Indexed as

Anterior Cruciate LigamentKnee JointCadaverHumansMagnetic Resonance ImagingRange of Motion, Articular

Identifiers

PMID35831396
PMCPMC9279472
OpenAlexW4285393521

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.