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Detecting Anterior Cruciate Ligament Tears And Posterolateral Corner Injuries On Magnetic Resonance Imaging, Paul Woloszyn, Vishal Desai, Md, Simukayi Mutasa, Md, Tiffany D’Souza, Dominick Battistini, Sasha Mitts, Bryan Sadler
Detecting Anterior Cruciate Ligament Tears And Posterolateral Corner Injuries On Magnetic Resonance Imaging, Paul Woloszyn, Vishal Desai, Md, Simukayi Mutasa, Md, Tiffany D’Souza, Dominick Battistini, Sasha Mitts, Bryan Sadler
Phase 1
Introduction: Anterior Cruciate Ligament (ACL) tears are an extremely common orthopedic injury, with an incidence ranging from 39-52 per 100,000. Knee Magnetic Resonance Imaging (MRI) scans are the gold standard for diagnosing ACL tears and their comorbidities, such as posterolateral corner injuries; the results of these scans determine the appropriate treatment needed for patients. There is evidence that machine learning can be used to automate the detection of pathology on MRI, and we hypothesize that we can train a neural network machine learning model to accurately interpret ACL injuries and posterolateral corner injuries.
Methods: We will be analyzing over 1000 …