Improved Osteoporosis Prediction in Breast Cancer Patients Using a Novel Semi-Foundational Model.

Small cohorts of certain disease states are common especially in medical imaging. Despite the growing culture of data sharing, information safety often precludes open sharing of these datasets for creating generalizable machine learning models. To overcome this barrier and maintain proper health information protection, foundational models are rapidly evolving to provide deep learning solutions that have been pretrained on the native feature spaces of the data.

Association Between Metabolic Health and Bone Mineral Density Using CT in Hepatocellular Carcinoma Patients Under 65: A Retrospective Chart Review.

Introduction: Metabolic conditions such as diabetes, and dyslipidemia are prevalent in the United States (US), serving as potential risk factors for hepatocellular carcinoma (HCC). This study aimed to examine the association between various metabolic markers and Hounsfield Units (HU) from L1 vertebral CT scans as indicators of bone mineral density (BMD) in HCC patients under age 65.

Methods: A cross-sectional analysis was conducted on HCC patients under 65.

An MRI assessment of chronic synovial-based inflammation in gout and its correlation with serum urate levels.

It is unclear when the synovial-based inflammatory process of gout begins. The aim of this study was to determine the percentage of patients with inter-critical gout who have chronic synovial-based inflammation as evidenced by synovial pannus on a contrast-enhanced magnetic resonance imaging (MRI) of their most involved joint and determine if the presence and/or severity correlates with their serum urate levels. All patients received a 3 T MRI of their index joint, serum urate level, CRP, and creatinine.