Evidence map›Paper›PMID 34814875›Full record

ArticleBMC musculoskeletal disorders2021

Open MRI validation of a hip model driven with subject-specific motion capture data in predicting anterior femoroacetabular clearance.

Maryam Mohtajeb, Jolanda Cibere, Angelo Graffos, Michelle Mony, Honglin Zhang, Michael A Hunt, David R Wilson

Open access · goldAbstract read
In one paragraph

Article in BMC musculoskeletal disorders, 2021. 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
0.4field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Maryam MohtajebSchool of Biomedical Engineering, University of British Columbia, Vancouver, BC, Canada.
Jolanda CibereDepartment of Medicine, University of British Columbia, Vancouver, BC, Canada.
Angelo GraffosMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
Michelle MonyArthritis Research Centre of Canada, Richmond, BC, Canada.
Honglin ZhangCenter for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada.
Michael A HuntMotion Analysis and Biofeedback Laboratory, University of British Columbia, Vancouver, BC, Canada.
David R WilsonCenter for Hip Health and Mobility, University of British Columbia, Vancouver, BC, Canada. dawilson@interchange.ubc.ca.ORCID http://orcid.org/0000-0001-6893-0894
University of British Columbia · CAArthritis Research Centre of Canada · CA

Funding

Arthritis Society of Canada Strategic Operating Grant SOG-15-297Canadian Institutes of Health Research Project Grant 148828Canadian Institutes of Health Research Team Grant PAF-107513Natural Sciences and Engineering Research Council of Canada (CA) 05246
6 · The paper itself

Abstract

backgroundCam and/or pincer morphologies (CPM) are potential precursors to hip osteoarthritis (OA) and important contributors to non-arthritic hip pain. However, only some CPM hips develop OA and/or pain, and it is not clear why. Anterior impingement between the femoral head/neck contour and acetabular rim during motion is a proposed pathomechanism. Understanding how activity and deformity combine to produce impingement may shed light on the causes of hip degeneration/pain. The objective of this study was to determine the accuracy of a subject-specific hip model driven by subject-specific motion data in predicting anterior impingement.

methodsWe recruited 22 participants with CPM (both with and without pain) and 11 controls. We collected subject-specific 3D kinematics during squatting and sitting flexion, adduction, and internal rotation (FADIR) (an active and a passive maneuver, respectively, proposed to provoke impingement). We then developed 3D subject-specific hip models from supine 3T hip MRI scans that predicted the beta angle (a measure of anterior femoroacetabular clearance) for each frame of acquired kinematics. To assess the accuracy of these predictions, we measured the beta angle directly in the final position of squatting and sitting FADIR using open MRI scans. We selected the frame of motion data matching the static imaged posture using the least-squares error in hip angles. Model accuracy for each subject was calculated as the absolute error between the open MRI measure of beta and the model prediction of beta at the matched time frame. To make the final model accuracy independent of goodness of match between open MRI position and motion data, a threshold was set for least-squares error in hip angles, and only participants that were below this threshold were considered in the final model accuracy calculation, yielding results from 10 participants for squatting and 7 participants for sitting FADIR.

resultsFor squatting and sitting FADIR, we found an accuracy of 1.1°(0.8°) and 1.3°(mean (SD), and root mean squared error, respectively) and 0.5°(0.3°) and 0.6°, respectively.

conclusionThis subject-specific hip model predicts anterior femoroacetabular clearance with an accuracy of about 1°, making it useful to predict anterior impingement during activities measured with motion analysis.

Indexed as

Femoracetabular ImpingementHipHip JointHumansMagnetic Resonance ImagingRange of Motion, ArticularBiomechanicsFemoroacetabular impingementHipMechanicsModelMotion analysis

Identifiers

PMID34814875
PMCPMC8609822
OpenAlexW3215991894

What OpenQuestion holds

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LicenceCC BY
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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.