Multi-view information fusion using multi-view variational autoencoder to predict proximal femoral fracture load.

Background: Hip fracture occurs when an applied force exceeds the force that the proximal femur can support (the fracture load or "strength") and can have devastating consequences with poor functional outcomes. Proximal femoral strengths for specific loading conditions can be computed by subject-specific finite element analysis (FEA) using quantitative computerized tomography (QCT) images. However, the radiation and availability of QCT limit its clinical usability.

ST-V-Net: incorporating shape prior into convolutional neural networks for proximal femur segmentation.

We aim to develop a deep-learning-based method for automatic proximal femur segmentation in quantitative computed tomography (QCT) images. We proposed a spatial transformation V-Net (ST-V-Net), which contains a V-Net and a spatial transform network (STN) to extract the proximal femur from QCT images. The STN incorporates a shape prior into the segmentation network as a constraint and guidance for model training, which improves model performance and accelerates model convergence.

Predictive factors of radioiodine therapy failure in Graves' Disease: A meta-analysis.

Background: I-131 therapy is a common treatment modality for adults with Graves' Disease (GD). Utilizing meta-analysis, we examined patient specific factors that predict I-131 therapy failure.

Methods: Literature search followed PRISMA.

An Elderly Man with a Swollen Knee,Significant Ecchymosis, and Minimal Knee Pain.

A 72-year-old man presents with left knee pain and swelling over several days. The pain and swelling started after he felt a "pop" when bending to pick up an object off the floor. His past medical history is significant for type 2 diabetes mellitus.

Radiology Case of the Month: Persistent Lateral Foot Pain.

A 33-year-old female presents with persistent lateral foot pain. Patient does not recall prior trauma that may have led to injury. Symptoms are significantly improved with rest and nonsteroidal anti-inflammatory medications.