Evidence map›Paper›PMID 26746045›Full record

ArticleThe Knee2016

Inter- and intra-rater reliability of patellofemoral kinematic and contact area quantification by fast spin echo MRI and correlation with cartilage health by quantitative T1ρ MRI.

Brian C Lau, Daniel U Thuillier, Valentina Pedoia, Ellison Y Chen, Zhihong Zhang, Brian T Feeley, Richard B Souza

Open access · greenAbstract read
In one paragraph

Article in The Knee, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 pooled it
0.4field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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 1 institution in 1 country.

Brian C LauUCSF Department of Orthopaedic Surgery, United States. Electronic address: laub@orthosurg.ucsf.edu.
Daniel U ThuillierUCSF Department of Orthopaedic Surgery, United States.
Valentina PedoiaUCSF Department of Radiology and Biomedical Imaging, United States.
Ellison Y ChenUCSF Department of Radiology and Biomedical Imaging, United States.
Zhihong ZhangUCSF Department of Radiology and Biomedical Imaging, United States.
Brian T FeeleyUCSF Department of Orthopaedic Surgery, United States.
Richard B SouzaUCSF Department of Physical Therapy and Rehabilitation Science, United States.
Universitetshospitalernes Center for Sundhedsfaglig Forskning · DK

Funding

Translation of Quantitative Imaging in OsteoarthritisP50AR060752 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAJUMDAR, SHARMILA · 2011 to 2015
$6.2M
Contact mechanics, neuromuscular control, and cartilage composition in knee OAR01AR062370 · NIAMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SOUZA, RICHARD BRIAN · 2011 to 2014
$1.1M
NIAMS NIH HHS P50 AR060752NIAMS NIH HHS R01 AR062370
6 · The paper itself

Abstract

backgroundPatellar maltracking is a leading cause of patellofemoral pain syndrome (PFPS). The aim of this study was to determine the inter- and intra-rater reliability of a semi-automated program for magnetic resonance imaging (MRI) based patellofemoral kinematics.

methodsSixteen subjects (10 with PFPS [mean age 32.3; SD 5.2; eight females] and six controls without PFPS 19 [mean age 28.6; SD 2.8; three females]) participated in the study. One set of T2-weighted, fat-saturated fast spin-echo (FSE) MRIs were acquired from each subject in full extension and 30° of knee flexion. MRI including axial T1ρ relaxation time mapping sequences was also performed on each knee. Following image acquisitions, regions of interest for kinematic MRI, and patellar and trochlear cartilage were segmented and quantified with in-house designed spline- based MATLAB semi-automated software.

resultsIntraclass Correlations Coefficients (ICC) of calculated kinematic parameters were good to excellent, ICC > 0.8 in patellar flexion, rotation, tilt, and translation (anterior -posterior, medial -lateral, and superior -inferior), and contact area translation. Only patellar tilt in the flexed position and motion from extended to flexed state was significantly different between PFPS and control patients (p=0.002 and p=0.006, respectively). No significant correlations were identified between patellofemoral kinematics and contact area with T1ρ relaxation times.

conclusionsA semi-automated, spline-based kinematic MRI technique for patellofemoral kinematic and contact area quantification is highly reproducible with the potential to help better understand the role of patellofemoral maltracking in PFPS and other knee disorders. LEVEL OF EVIDENCE: Level IV.

Indexed as

AdolescentAdultBiomechanical PhenomenaCartilageFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedPatellofemoral JointPatellofemoral Pain SyndromeRange of Motion, ArticularReproducibility of ResultsROC CurveYoung AdultMRIPatellofemoral kinematicsReliabilityT1ρ

Identifiers

PMID26746045
PMCPMC4762728
OpenAlexW2233023312

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.