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- Title
Patellofemoral morphology is not related to pain using three-dimensional quantitative analysis in an older population: data from the Osteoarthritis Initiative.
- Authors
Drew, Benjamin T.; Bowes, Michael A.; Redmond, Anthony C.; Dube, Bright; Kingsbury, Sarah R.; Conaghan, Philip G.
- Abstract
Objectives. Current structural associations of patellofemoral pain (PFP) are based on 2D imaging methodology with inherent measurement uncertainty due to positioning and rotation. This study employed novel technology to create 3D measures of commonly described patellofemoral joint imaging features and compared these features in people with and without PFP in a large cohort. Methods. We compared two groups from the Osteoarthritis Initiative: one with localized PFP and pain on stairs, and a control group with no knee pain; both groups had no radiographic OA. MRI bone surfaces were automatically segmented and aligned using active appearance models. We applied t-tests, logistic regression and linear discriminant analysis to compare 13 imaging features (including patella position, trochlear morphology, facet area and tilt) converted into 3D equivalents, and a measure of overall 3D shape. Results. One hundred and fifteen knees with PFP (mean age 59.7, BMI 27.5 kg/m², female 58.2%) and 438 without PFP (mean age 63.6, BMI 26.9 kg/m², female 52.9%) were included. After correction for multiple testing, no statistically significant differences were found between groups for any of the 3D imaging features or their combinations. A statistically significant discrimination was noted for overall 3D shape between genders, confirming the validity of the 3D measures. Conclusion. Challenging current perceptions, no differences in patellofemoral morphology were found between older people with and without PFP using 3D quantitative imaging analysis. Further work is needed to see if these findings are replicated in a younger PFP population.
- Subjects
KNEE anatomy; DISCRIMINANT analysis; LONGITUDINAL method; MAGNETIC resonance imaging; T-test (Statistics); LOGISTIC regression analysis; THREE-dimensional imaging; BODY mass index; PLICA syndrome; DESCRIPTIVE statistics
- Publication
Rheumatology, 2017, Vol 56, Issue 12, p2135
- ISSN
1462-0324
- Publication type
Article
- DOI
10.1093/rheumatology/kex329