Evidence map›Paper›PMID 29948373›Full record

Trial reportAnnals of biomedical engineering2018

Comparison of Marker-Based and Stereo Radiography Knee Kinematics in Activities of Daily Living.

Donald R Hume, Vasiliki Kefala, Michael D Harris, Kevin B Shelburne

Open access · greenAbstract readClinical TrialComparative Study
In one paragraph

Trial report in Annals of biomedical engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 32 citations in OpenAlex.

  1. Article
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  9. Validation of a portable marker-based motion analysis system.Journal of orthopaedic surgery and research · 2021
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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

4 authors at 2 institutions in 1 country.

Donald R HumeCenter for Orthopaedic Biomechanics, University of Denver, Denver, CO, USA.
Vasiliki KefalaCenter for Orthopaedic Biomechanics, University of Denver, Denver, CO, USA.
Michael D HarrisProgram in Physical of Therapy, Washington University School of Medicine, St. Louis, MO, USA.
Kevin B ShelburneDepartment of Mechanical and Materials Engineering, University of Denver, 2155 East Wesley, Denver, CO, 80210, USA. Kevin.Shelburne@du.edu.
University of Denver · USWashington University in St. Louis · US

Funding

A Multi-Scale Finite Element Musculoskeletal Modeling Framework Applied to CurrenR01EB015497 · NIBIB · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI SHELBURNE, KEVIN B · 2012 to 2015
$1.1M
National Institute of Biomedical Imaging and Bioengineering R01EB015497National Science Foundation Major Research Instrumentation award (12- 29148) (MRI 12-29148)NIBIB NIH HHS R01 EB015497
6 · The paper itself

Abstract

Movement of the marker positions relative to the body segments obscures in vivo joint level motion. Alternatively, tracking bones from radiography images can provide precise motion of the bones at the knee but is impracticable for measurement of body segment motion. Consequently, researchers have combined marker-based knee flexion with kinematic splines to approximate the translations and rotations of the tibia relative to the femur. Yet, the accuracy of predicting six degree-of-freedom joint kinematics using kinematic splines has not been evaluated. The objectives of this study were to (1) compare knee kinematics measured with a marker-based motion capture system to kinematics acquired with high speed stereo radiography (HSSR) and describe the accuracy of marker-based motion to improve interpretation of results from these methods, and (2) use HSSR to define and evaluate a new set of knee joint kinematic splines based on the in vivo kinematics of a knee extension activity. Simultaneous measurements were recorded from eight healthy subjects using HSSR and marker-based motion capture. The marker positions were applied to three models of the lower extremity to calculate tibiofemoral kinematics and compared to kinematics acquired with HSSR. As demonstrated by normalized RMSE above 1.0, varus-valgus rotation (1.26), medial-lateral (1.26), anterior-posterior (2.03), and superior-inferior translations (4.39) were not accurately measured. Using kinematic splines improved predictions in varus-valgus (0.81) rotation, and medial-lateral (0.73), anterior-posterior (0.69), and superior-inferior (0.49) translations. Using splines to predict tibiofemoral kinematics as a function knee flexion can lead to improved accuracy over marker-based motion capture alone, however this technique was limited in reproducing subject-specific kinematics.

Indexed as

Activities of Daily LivingModels, BiologicalRadiostereometric AnalysisAgedBiomechanical PhenomenaFemaleHumansKnee JointMaleMiddle AgedFluoroscopyMotion captureMusculoskeletal modelingTibiofemoral

Identifiers

PMID29948373
PMCPMC7757735
OpenAlexW2808202533

What OpenQuestion holds

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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.