Evidence map›Paper›PMID 42582556›Full record

ArticleBiomedical engineering and computational biology2026

Development of a Diagnostic Tool for Elbow Instability Combining 4D-CT Imaging and Mechanical Load Analysis.

Jonas Gehring, Fabian Forster, Markus Meindl, Martin Maerz, Michael Simon, Nina Renner, Michael Uder, Tobias Pogarell, Lars Braeuer, Mario Perl and 1 more

Abstract read
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Article in Biomedical engineering and computational biology, 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

The trial behind it

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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

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

11 authors.

Jonas GehringDepartment of Power Electronics, Fraunhofer Institute for Integrated Systems and Device Technology IISB, Erlangen, Germany.
Fabian ForsterDepartment of Power Electronics, Fraunhofer Institute for Integrated Systems and Device Technology IISB, Erlangen, Germany.
Markus MeindlDepartment of Power Electronics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Nürnberg, Germany.
Martin MaerzDepartment of Power Electronics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Nürnberg, Germany.
Michael SimonDepartment of Orthopaedics and Trauma Surgery, University Hospital of Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.
Nina RennerDepartment of Orthopaedics and Trauma Surgery, University Hospital of Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.
Michael UderDepartment of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Tobias PogarellDepartment of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Lars BraeuerInstitute of Functional and Clinical Anatomy, Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Erlangen, Germany.
Mario PerlDepartment of Orthopaedics and Trauma Surgery, University Hospital of Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.
Lucas MangoldDepartment of Orthopaedics and Trauma Surgery, University Hospital of Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Erlangen, Germany.ORCID https://orcid.org/0009-0006-9059-187X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diagnosis of elbow instability in clinical practice commonly relies on manual stress testing by the physician with or without combination of fluoroscopy or ultrasound, which may result in variable force application and subjective interpretation. A standardized method for applying controlled mechanical loading during dynamic imaging may improve reproducibility. Objective: The objective of this study was to develop and perform initial cadaveric feasibility testing of a CT-compatible diagnostic device for device-guided assessment of elbow instability with simultaneous force and positional measurement. Design: Technical development study with initial cadaveric feasibility testing. Methods: Building upon the initial prototype the present paper, describes the development of MELBO the follow-up prototype with adjusted kinematics and improved stability, the validation of the force sensor is addressed, and the first cadaver test results are presented. Results: The MELBO diagnostic tool enabled a controlled device-guided elbow motion during 4D-CT acquisition and allowed simultaneous recording of force and positional data. The acquired dynamic CT datasets were suitable for qualitative assessment of elbow joint stability. No relevant device-related imaging artifacts were observed. Conclusion: The present study demonstrates the technical feasibility of device-guided simultaneous force and positional measurement during 4D-CT using the MELBO diagnostic tool. These findings provide the basis for further cadaveric studies and future clinical investigations aimed at quantitative assessment of elbow instability under standardized loading conditions.

Indexed as

4D-CT imagingdiagnostic toolelbow instabilitymechanical load analysisMelbo

Identifiers

PMID42582556
PMCPMC13458129

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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.