Evidence map›Paper›PMID 39356378›Full record

ArticleAnnals of biomedical engineering2025

A Robotic Clamped-Kinematic System to Study Knee Ligament Injury.

Ophelie M Herve, Will Flanagan, Jake Kanetis, Bailey Mooney, Thomas J Kremen, David R McAllister, Tyler R Clites

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of biomedical engineering, 2025. 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
–field-weighted citation impact
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.

  1. A scoping review and guide for in vitro healthy human knee joint laxity.Frontiers in bioengineering and biotechnology · 2026
    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

7 authors.

Ophelie M HerveDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, 90095, USA.
Will FlanaganDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, 90095, USA.
Jake KanetisDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, 90095, USA.
Bailey MooneyDepartment of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Thomas J KremenDepartment of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
David R McAllisterDepartment of Orthopaedic Surgery, David Geffen School of Medicine at UCLA, Los Angeles, CA, 90095, USA.
Tyler R ClitesDepartment of Mechanical and Aerospace Engineering, University of California, Los Angeles, CA, 90095, USA. clites@ucla.edu.ORCID http://orcid.org/0000-0001-7754-4442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Knee ligament injury is among the most common sports injuries and is associated with long recovery periods and low return-to-sport rates. Unfortunately, the mechanics of ligament injury are difficult to study in vivo, and computational studies provide limited insight. The objective of this study was to implement and validate a robotic system capable of reproducing natural six degree-of-freedom clamped-kinematic trajectories on human cadaver knees (meaning that positions and orientations are rigidly controlled and resultant loads are measured). To accomplish this, we leveraged the field's recent access to high-fidelity bone kinematics from dynamic biplanar radiography (DBR), and implemented these kinematics in a coordinate frame built around the knee's natural flexion-extension axis. We assessed our system's capabilities in the context of ACL injury, by moving seven cadaveric knee specimens through kinematics derived from walking, running, drop jump, and ACL injury. We then used robotically simulated clinical stability tests to evaluate the hypothesis that knee stability would be only reduced by the motions intended to injure the knee. Our results show that the structural integrity of the knee was not compromised by non-injurious motions, while the injury motion produced a clinically relevant ACL injury with characteristic anterior and valgus instability. We also demonstrated that our robotic system can provide direct measurements of reaction loads during a variety of motions, and facilitate gross evaluation of ligament failure mechanisms. Clamped-kinematic robotic evaluation of cadaver knees has the potential to deepen understanding of the mechanics of knee ligament injury.

Indexed as

Anterior Cruciate Ligament InjuriesKnee InjuriesRoboticsBiomechanical PhenomenaCadaverFemaleHumansKnee JointMaleMiddle AgedACL injuryBiomechanicsKnee jointRobotic manipulator

Identifiers

PMID39356378
PMCPMC11782322

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Registered trials

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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.