Literature DB >> 26471209

Which patellofemoral joint imaging features are associated with patellofemoral pain? Systematic review and meta-analysis.

B T Drew1, A C Redmond1, T O Smith2, F Penny3, P G Conaghan4.   

Abstract

OBJECTIVES: To review the association between patellofemoral joint (PFJ) imaging features and patellofemoral pain (PFP).
DESIGN: A systematic review of the literature from AMED, CiNAHL, Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, PEDro, EMBASE and SPORTDiscus was undertaken from their inception to September 2014. Studies were eligible if they used magnetic resonance imaging (MRI), computed tomography (CT), ultrasound (US) or X-ray (XR) to compare PFJ features between a PFP group and an asymptomatic control group in people <45 years of age. A pooled meta-analysis was conducted and data was interpreted using a best evidence synthesis.
RESULTS: Forty studies (all moderate to high quality) describing 1043 people with PFP and 839 controls were included. Two features were deemed to have a large standardised mean difference (SMD) based on meta-analysis: an increased MRI bisect offset at 0° knee flexion under load (0.99; 95% CI: 0.49, 1.49) and an increased CT congruence angle at 15° knee flexion, both under load (1.40 95% CI: 0.04, 2.76) and without load (1.24; 95% CI: 0.37, 2.12). A medium SMD was identified for MRI patella tilt and patellofemoral contact area. Limited evidence was found to support the association of other imaging features with PFP. A sensitivity analysis showed an increase in the SMD for patella bisect offset at 0° knee flexion (1.91; 95% CI: 1.31, 2.52) and patella tilt at 0° knee flexion (0.99; 95% CI: 0.47, 1.52) under full weight bearing.
CONCLUSION: Certain PFJ imaging features were associated with PFP. Future interventional strategies may be targeted at these features. PROSPERO REGISTRATION NUMBER: CRD 42014009503.
Copyright © 2015 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Diagnostic imaging; Magnetic resonance imaging; Patellofemoral pain; Systematic review

Mesh:

Year:  2015        PMID: 26471209     DOI: 10.1016/j.joca.2015.09.004

Source DB:  PubMed          Journal:  Osteoarthritis Cartilage        ISSN: 1063-4584            Impact factor:   6.576


  10 in total

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4.  Diagnosis of Patellofemoral Pain Syndrome Based on a Multi-Input Convolutional Neural Network With Data Augmentation.

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7.  Are Patellofemoral Joint Alignment and Shape Associated With Structural Magnetic Resonance Imaging Abnormalities and Symptoms Among People With Patellofemoral Pain?

Authors:  Marienke van Middelkoop; Erin M Macri; Joost F Eijkenboom; Rianne A van der Heijden; Kay M Crossley; Sita M A Bierma-Zeinstra; Janneke L de Kanter; Edwin H Oei; Natalie J Collins
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8.  Clinical value of weight-bearing CT and radiographs for detecting patellofemoral cartilage visualized by MRI in the MOST study.

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Journal:  Osteoarthritis Cartilage       Date:  2021-07-29       Impact factor: 6.576

9.  Patellofemoral morphology is not related to pain using three-dimensional quantitative analysis in an older population: data from the Osteoarthritis Initiative.

Authors:  Benjamin T Drew; Michael A Bowes; Anthony C Redmond; Bright Dube; Sarah R Kingsbury; Philip G Conaghan
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10.  Induction of osteoarthritis by injecting monosodium iodoacetate into the patellofemoral joint of an experimental rat model.

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  10 in total

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