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To compare the radiological parameters measured by dynamic four dimensional CT (4DCT) in the analysis of patellofemoral involvement of subjects (amplitude of patellofemoral tilt angle variations, coefficient of variation of the same angle, distance of lateral displacement of the patella ) in patients with patellofemoral clinical syndrome to those free of this syndrome (= control group).
It is expected that the amplitude of patellofemoral tilt angle changes, its coefficient of variation, and the patella lateral displacement distance differ between the 2 groups compared. This result would clarify the potential value of dynamic 4D CT in the diagnosis of PFI
Full description
Patellofemoral instability (PFI) is frequent, causing chronic knee pain, functional impotence or disability because it is associated with the development of early patellofemoral osteoarthritis. PFI are classically classified into three types: anterior pain syndrome (SR, without structural abnormality), potential patellar instability (with structural anomaly favoring, but no history of patellar dislocation) and objective patellar instability (with structural abnormality and history of patellar dislocation). Diagnosis of the disease outside objective patellar instability is difficult at present, and objective criteria are lacking to determine management and evaluate the rehabilitation program of these patients.
Radiographic assessment of the knee is the diagnostic method of reference to objectify patellar patellofemoral instability and to look for contributing factors including signs of trochlear dysplasia, and remains the initial method of exploration of a patellar syndrome. Static imaging reveals signs of objective instability (patellar luxation, fracture stigmas) or favorite factors (trochlear dysplasia, increased distance of anterior tibial tuberosity / trochlear throat).
Nevertheless, some important elements in the pathophysiology of patellofemoral instability such as patellar tilt and lateral displacement of the patella are essentially dynamic and vary according to the degree of flexion-extension of the knee. Our hypothesis is that the variation of these parameters during the movements could make it possible to improve the diagnosis of patellar instabilities without favoring structural anomaly and the follow-up of the patients who benefit from a patellofemoral reeducation program.
Some authors propose functional MRI of the knee with static acquisitions during different movements. Nevertheless, no validated technique allows the study of biodynamic anomalies in real time. The dynamic knee scanner is not very radiating and the knee is not very radio-sensitive. This technique could therefore represent an interesting alternative allowing dynamic analysis of patellar displacements during knee flexion and patellar engagement. Finally, new methods of post-processing CT images based on registration and automatic segmentation of bone structures are available for clinical application. This type of tool allows a semi-automatic quantification of patellar displacements that could provide objective evaluation criteria for patients with patellofemoral instability. In 2016, a Swedish team published a study on the feasibility of five patients performing a quantitative semi-automatic dynamic scanner analysis of patellofemoral flexion-extension joint movement. This shows the value of evaluating this method in a larger population with a control group
Main objective: To compare the radiological parameters measured by dynamic 4D CT in the analysis of patellofemoral involvement of subjects (amplitude of patellofemoral tilt angle variations, coefficient of variation of the same angle, distance of lateral displacement of the patella ) in patients with patellofemoral clinical syndrome (= Cas group) to those free of this syndrome (= control group).
It is expected that the amplitude of patellofemoral tilt angle changes, its coefficient of variation, and the patella lateral displacement distance differ between the 2 groups compared. This result would clarify the potential value of dynamic 4D CT in the diagnosis of PFI.
Secondary objectives:
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Inclusion Criteria:
Patient between 18 and 60 years old
giving consent
Mandatory affiliation to a social security scheme
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40 participants in 2 patient groups
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Pedro Augusto GONDIM TEIXEIRA, PhD
Data sourced from clinicaltrials.gov
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