The Arthrex Surgeon App vs DRU Classification

The Arthrex Surgeon App provides 24/7 mobile access to our extensive digital orthopedic knowledge and resource library. The app allows you to consume content online as well as offline. Key Features: HD surgical technique videos by leading surgeons Extensive digital orthopedic knowledge library Optimized for iPad and iPhone Video streaming from the cloud for improved performance and speed Logical content organization and labeling for easy browsing from broad to specific topics Intuitive filtering for faster information discovery Developed in close collaboration with leading orthopedic surgeons About Arthrex: Arthrex Inc. is a global leader in multi-specialty, minimally invasive surgical technology, medical research, manufacturing and medical education. Arthrex develops and releases more than 1,000 new products and procedures every year to advance minimally invasive orthopedics, trauma, spine and arthroplasty innovation worldwide, and specializes in the latest 4K multi-specialty surgical visualization and OR integration technology solutions.

The distal radius and ulna (DRU) classification is an accurate parameter of a child’s maturity status. It is useful for management of spine and limb deformities as it can predict the peak growth spurt and growth cessation with good sensitivity and specificity. It has also been shown to be an indicator of scoliosis curve progression and predict which curves will deteriorate. This app provides users with a tool to understand the DRU classification, how to use the classification for grading skeletal maturity, and also for guiding treatment. In addition, this app has a calculation function for final body height prediction for female patients with idiopathic scoliosis. Current features: 1. Explanation of the DRU classification 2. Distal radius and ulna features on x-rays for grading 3. DRU grading quiz 4. Final height prediction calculator 5. Useful publications in this field of paediatric skeletal growth and scoliosis curve progression Features to come: 1. Curve progression prediction 2. Image capture and automated grading and prediction