Literature DB >> 34562716

Adolescents and adults with patellofemoral pain exhibit distinct patellar maltracking patterns.

Aricia Shen1, Barry P Boden2, Camila Grant3, Victor R Carlson1, Katharine E Alter4, Frances T Sheehan5.   

Abstract

BACKGROUND: Chronic idiopathic patellofemoral pain is associated with patellar maltracking in both adolescents and adults. To accurately target the underlying, patient-specific etiology, it is crucial we understand if age-of-pain-onset influences maltracking.
METHODS: Twenty adolescents (13.9 ± 1.4 years) and 20 adults (28.1 ± 4.9 years) female patients with idiopathic patellofemoral pain (age-of-pain-onset: < 14 and > 18 years of age, respectively) formed the patient cohort. Twenty adolescents and 20 adults (matched for gender, age, and body mass index) formed the control cohort. We captured three-dimensional patellofemoral kinematics during knee flexion-extension using dynamic MRI. Patellar maltracking (deviation in patient-specific patellofemoral kinematics, relative to their respective age-controlled mean values) was the primary outcome measure, which was compared between individuals with adolescent-onset and adult-onset patellofemoral pain using ANOVA and discriminant analysis.
FINDINGS: The female adolescent-onset patellofemoral pain cohort demonstrated increased lateral (P = 0.032), superior (P = 0.007), and posterior (P < 0.001) maltracking, with increased patellar flexion (P < 0.001) and medial spin (P = 0.002), relative to the adult-onset patellofemoral pain cohort. Post-hoc analyses revealed increased lateral shift [mean difference ± 95% confidence interval = -2.9 ± 2.1 mm at 10° knee angle], posterior shift [-2.8 ± 2.1 mm, -3.3 ± 2.3 mm & -3.1 ± 2.4 mm at 10°, 20°& 30°], with greater patellar flexion [3.8 ± 2.6 mm & 5.0 ± 2.8 mm, at 20°& 30°] and medial spin [-2.2 ± 1.7 mm & -3.4 ± 2.3 mm at 20°& 30°]. Axial-plane maltracking accurately differentiated the patient age-of-pain-onset (60-75%, P < 0.001).
INTERPRETATION: Age-of-pain-onset influences the maltracking patterns seen in patients with patellofemoral pain; with all, but 1, degree of freedom being unique in the adolescent-onset-patellofemoral pain cohort. Clinical awareness of this distinction is crucial for correctly diagnosing a patient's pain etiology and optimizing interventional strategies.
Copyright © 2021. Published by Elsevier Ltd.

Entities:  

Keywords:  Child; Kinematics; Knee; Magnetic resonance imaging; Patellar maltracking; Patellofemoral pain syndrome; Pediatric; patella

Mesh:

Year:  2021        PMID: 34562716     DOI: 10.1016/j.clinbiomech.2021.105481

Source DB:  PubMed          Journal:  Clin Biomech (Bristol, Avon)        ISSN: 0268-0033            Impact factor:   2.063


  2 in total

1.  Automatic quadriceps and patellae segmentation of MRI with cascaded U2 -Net and SASSNet deep learning model.

Authors:  Ruida Cheng; Marion Crouzier; François Hug; Kylie Tucker; Paul Juneau; Evan McCreedy; William Gandler; Matthew J McAuliffe; Frances T Sheehan
Journal:  Med Phys       Date:  2021-11-22       Impact factor: 4.506

2.  The Influence of Mathematical Definitions on Patellar Kinematics Representations.

Authors:  Adrian Sauer; Maeruan Kebbach; Allan Maas; William M Mihalko; Thomas M Grupp
Journal:  Materials (Basel)       Date:  2021-12-11       Impact factor: 3.623

  2 in total

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