Proposal for a New Treatment Algorithm for Proximal Humerus Fractures based on a Clinical Survey among 340 Surgeons.

Background: The increasing incidence of proximal humeral fractures (PHF) poses complex challenges in determining the optimal therapeutic strategies due to the diverse fracture patterns and individual patient characteristics. Traumatologists and orthopedic surgeons face significant decisions, as potential consequences such as pain, functional limitations, and complications may significantly affect patients' quality of life. Given the varying viewpoints on appropriate treatment modalities, a thorough examination of current care practices is crucial.

Performance of Intraoperative Contrast-Enhanced Ultrasound (Io-CEUS) in the Diagnosis of Primary Lung Cancer.

Background: Suspicious tumors of the lung require specific staging, intraoperative detection, and histological confirmation. We performed an intrathoracic, intraoperative contrast-enhanced ultrasound (Io-CEUS) for characterization of lung cancer.

Methods: Retrospective analysis of prospectively collected data on the application of Io-CEUS in thoracic surgery for patients with operable lung cancer.

Basics of Sterile Compounding: Sterilization Methods in Sterile Product Manufacturing.

Sterilization methods to produce sterile preparations include heat, gas, radiation, and filtration. This article focuses on heat, gas, and radiation sterilization, plus a brief introduction to bright-light sterilization. Microbiology basics and microbial death kinetics, key to understanding why these sterilization methods work, will also be briefly discussed.

Sterile Filtration.

The great majority of sterile products commercially available as well as prepared in compounding pharmacies are sterilized by sterile filtration during aseptic processing. This brief and basic review will highlight the nature, action, and use of sterilizing filters. Special emphasis is given to how filters are validated in producing a sterile filtrate while being compatible with the filtered solution, as well as how filters are integrity tested during aseptic processing.

Deep learning-based differentiation of peripheral high-flow and low-flow vascular malformations in T2-weighted short tau inversion recovery MRI.

Background: Differentiation of high-flow from low-flow vascular malformations (VMs) is crucial for therapeutic management of this orphan disease.

Objective: A convolutional neural network (CNN) was evaluated for differentiation of peripheral vascular malformations (VMs) on T2-weighted short tau inversion recovery (STIR) MRI.

Methods: 527 MRIs (386 low-flow and 141 high-flow VMs) were randomly divided into training, validation and test set for this single-center study.