Evidence map›Paper›PMID 40683074›Full record

ArticleJournal of biomechanics2025

Quantitative MRI-measured composition changes despite small mechanical measures in tibiofemoral cartilage of healthy adults under applied load.

Marit E Scott, Bruce D Beynnon, Andrew S Borah, John C Ramsdell, Mickey I Krug, Mack G Gardner-Morse, Michael J DeSarno, Jiming Zhang, Matthew Geeslin, Mathew J Failla and 2 more

Abstract read
In one paragraph

Article in Journal of biomechanics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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

12 authors.

Marit E ScottDepartment of Electrical and Biomedical Engineering, University of Vermont, USA; Surgical Operating Unit, Medtronic, USA. Electronic address: marit.e.scott@medtronic.com.
Bruce D BeynnonDepartment of Electrical and Biomedical Engineering, University of Vermont, USA; Department of Orthopaedics and Rehabilitation, University of Vermont, USA. Electronic address: Bruce.Beynnon@med.uvm.edu.
Andrew S BorahDepartment of Orthopaedics and Rehabilitation, University of Vermont, USA; Instrumentation and Technical Services, University of Vermont, USA. Electronic address: Andrew.Borah@uvm.edu.
John C RamsdellDepartment of Electrical and Biomedical Engineering, University of Vermont, USA; Performance Technology, NY Mets, USA. Electronic address: JRamsdell@nymets.com.
Mickey I KrugDepartment of Orthopaedics and Rehabilitation, University of Vermont, USA. Electronic address: Mickey.Krug@med.uvm.edu.
Mack G Gardner-MorseDepartment of Orthopaedics and Rehabilitation, University of Vermont, USA. Electronic address: mack.gardner-morse@med.uvm.edu.
Michael J DeSarnoBiomedical Statistics Research Core, University of Vermont, USA. Electronic address: Michael.DeSarno@uvm.edu.
Jiming ZhangDepartment of Radiology Oncology & Medical Physics, University of Vermont Medical Center, USA; Departments of Radiology, University of Vermont, USA. Electronic address: Jiming.Zhang@uvmhealth.org.
Matthew GeeslinDepartments of Radiology, University of Vermont, USA. Electronic address: Matthew.Geeslin@uvmhealth.org.
Mathew J FaillaDepartment of Orthopaedics and Rehabilitation, University of Vermont, USA; Departments of Rehabilitation and Movement Science, University of Vermont, USA. Electronic address: Mathew.Failla@med.uvm.edu.
Timothy W TourvilleDepartment of Orthopaedics and Rehabilitation, University of Vermont, USA; Departments of Rehabilitation and Movement Science, University of Vermont, USA. Electronic address: Timothy.Tourville@med.uvm.edu.
Niccolo M FiorentinoDepartment of Electrical and Biomedical Engineering, University of Vermont, USA; Department of Orthopaedics and Rehabilitation, University of Vermont, USA; Department of Mechanical Engineering, University of Vermont, USA. Electronic address: Niccolo.Fiorentino@uvm.edu.

Funding

Prognostic Study of the Risk Factors for Contralateral ACL InjuryR01AR050421 · NIAMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BEYNNON, BRUCE · 2007 to 2022
$4.7M
The adaptive response of skeletal muscle, bone, and cartilage to severe knee trauma involving ACL disruption with and without concomitant injury to the meniscusR01AR076765 · NIAMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI BEYNNON, BRUCE · 2020 to 2023
$1.6M
Biomechanical Markers of PTOA after ACL Reconstruction and Meniscal ResectionR21AR077371 · NIAMS · UNIVERSITY OF VERMONT & ST AGRIC COLLEGE · PI FIORENTINO, NICCOLO M · 2021 to 2022
$521k
NASA 80NSSC20M0122NIAMS NIH HHS R01 AR050421NIAMS NIH HHS R01 AR076765NIAMS NIH HHS R21 AR077371
6 · The paper itself

Abstract

A crucial step in understanding the onset and progression of cartilaginous disease, such as osteoarthritis, is to study how cartilage mechanics and composition relate in response to controlled loading in disease-free joints. Both knees of 10 healthy participants were imaged with a 3 T magnetic resonance imaging (MRI) scanner at two timepoints (7 ± 3 days apart). Quantitative MR images for T1ρ and T2* were acquired with the knee in two states: i) a traditional setup without load applied, and ii) while a loading device applied a 40% bodyweight load to the plantar aspect of the foot. Associations between mechanical metrics (cartilage deformation, cartilage strain, change in bone-bone distance, and change in cartilage contact area) and compositional metrics (T1ρ and T2* relaxation times) were identified. Significant decreases in bone-bone distance were seen in all compartments in response to load. Articular cartilage thickness consistently decreased, but differences were significant for only half of the medial and lateral compartments in the tibia and femur. Strains ranged from 4.9% in compression to 0.3% in tension. No significant changes were found in cartilage contact area. T1ρ and T2* relaxation times changed significantly with the application of load, with the femoral and tibial cartilage exhibiting opposite responses. No significant associations were observed between mechanical and compositional metrics for T1ρ scans, but T2* scans had three significant relationships. Results from this work demonstrate that loading can induce tibiofemoral articular cartilage composition changes, as assessed with T1ρ and T2*, even with small magnitude measurements of mechanics.

Indexed as

Cartilage, ArticularFemurKnee JointMagnetic Resonance ImagingTibiaAdultBiomechanical PhenomenaFemaleHumansMaleStress, MechanicalWeight-BearingYoung AdultCartilageKneeLoadMR-compatibleqMRI

Identifiers

PMID40683074
PMCPMC13229481

What OpenQuestion holds

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Read underepoch 390

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.