Evidence map›Paper›PMID 30249338›Full record

ArticleJournal of biomechanics2018

Automatic registration of MRI-based joint models to high-speed biplanar radiographs for precise quantification of in vivo anterior cruciate ligament deformation during gait.

Zoë A Englander, John T Martin, Pramodh K Ganapathy, William E Garrett, Louis E DeFrate

Abstract read
In one paragraph

Article in Journal of biomechanics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

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  5. Does Tibial Plateau Slope and Depth Influence ACL Strain In Vivo?Orthopaedic journal of sports medicine · 2024
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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

5 authors at 2 institutions in 1 country.

Zoë A EnglanderDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA.
John T MartinDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Pramodh K GanapathyDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
William E GarrettDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA.
Louis E DeFrateDepartment of Orthopaedic Surgery, Duke University, Durham, NC, USA; Department of Biomedical Engineering, Duke University, Durham, NC, USA; Department of Mechanical Engineering and Materials Science, Duke University, Durham, NC, USA. Electronic address: lou.defrate@duke.edu.
Duke University Hospital · USDuke University · US

Funding

In Vivo Knee Motion and ACL Biomechanics During Dynamic ActivitiesR01AR065527 · NIAMS · DUKE UNIVERSITY · PI DEFRATE, LOUIS E. · 2014 to 2024
$4.8M
Age-related alterations in the in vivo mechanical function of the spineF32AR071223 · NIAMS · DUKE UNIVERSITY · PI MARTIN, JOHN · 2017 to 2019
$178k
NIAMS NIH HHS F32 AR071223NIAMS NIH HHS R01 AR065527
6 · The paper itself

Abstract

Understanding in vivo joint mechanics during dynamic activity is crucial for revealing mechanisms of injury and disease development. To this end, laboratories have utilized computed tomography (CT) to create 3-dimensional (3D) models of bone, which are then registered to high-speed biplanar radiographic data captured during movement in order to measure in vivo joint kinematics. In the present study, we describe a system for measuring dynamic joint mechanics using 3D surface models of the joint created from magnetic resonance imaging (MRI) registered to high-speed biplanar radiographs using a novel automatic registration algorithm. The use of MRI allows for modeling of both bony and soft tissue structures. Specifically, the attachment site footprints of the anterior cruciate ligament (ACL) on the femur and tibia can be modeled, allowing for measurement of dynamic ACL deformation. In the present study, we demonstrate the precision of this system by tracking the motion of a cadaveric porcine knee joint. We then utilize this system to quantify in vivo ACL deformation during gait in four healthy volunteers.

Indexed as

AdultAlgorithmsAnimalsAnterior Cruciate LigamentFemaleFemurGaitHumansKnee JointMagnetic Resonance ImagingMaleModels, BiologicalRadiographySwineTibiaYoung AdultACLBiomechanicsBiplanar radiographyImagingInjury mechanismKinematicsKneeOptimizationStrain

Identifiers

PMID30249338
PMCPMC6434938
OpenAlexW2891305551

What OpenQuestion holds

Textmetadata
LicenceTDM
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.