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Future Directions in Patellofemoral Imaging and 3D Modeling
Authors:Navya Dandu  Derrick M. Knapik  Nicholas A. Trasolini  Athan G. Zavras  Adam B. Yanke
Affiliation:Rush University Medical Center, 1611 W Harrison St, St 300, Chicago, IL 60612 USA
Abstract:Purpose of ReviewPatellofemoral instability involves complex, three-dimensional pathological anatomy. However, current clinical evaluation and diagnosis relies on attempting to capture the pathology through numerous two-dimensional measurements. This current review focuses on recent advancements in patellofemoral imaging and three-dimensional modeling.Recent FindingsSeveral studies have demonstrated the utility of dynamic imaging modalities. Specifically, radiographic patellar tracking correlates with symptomatic instability, and quadriceps activation and weightbearing alter patellar kinematics. Further advancements include the study of three-dimensional models. Automation of commonly utilized measurements such as tibial tubercle–trochlear groove (TT-TG) distance has the potential to resolve issues with inter-rater reliability and fluctuation with knee flexion or tibial rotation. Future directions include development of robust computational models (e.g., finite element analysis) capable of incorporating patient-specific data for surgical planning purposes.SummaryWhile several studies have utilized novel dynamic imaging and modeling techniques to enhance our understanding of patellofemoral joint mechanics, these methods have yet to find a definitive clinical utility. Further investigation is required to develop practical implementation into clinical workflow.
Keywords:Patellar instability   Computational modeling   Dynamic imaging   Patellar tracking
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