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This paper explores the numerous challenges materials scientists and engineers face, from the time it takes to bring new materials to market to the difficulties delivering suitable formulations and testing against specified criteria, and how those can be resolved.
Osteoarthritis (OA) is the most common form of arthritis and affects a considerable portion of the elderly population. In the U.S., it is estimated that more than 630 million people worldwide have this chronic condition, generally in the knees. OA occurs when the cartilage that cushions the ends of bones within the joints gradually deteriorates, causing synovitis and joint deformation.
The goal of OA research is to identify new therapeutic strategies that could prevent, reduce, halt progression, or repair the existing damage to the joint. Non-invasive in vivo imaging such as microCT is the standard modality for bone research due to its ability to obtain high-resolution images at an x-ray dose low enough as not to harm the animal. This makes microCT ideal for monitoring disease progression and response to treatments in the same animal over time. However, microCT data visualization and analysis can be cumbersome and time consuming. In this application note, we compared standard microCT software and advanced bone software to investigate bone erosion in an OA rat model.
X-ray CT imaging is commonly used for skeletal imaging as bones are densely mineralized tissues with excellent x-ray attenuation properties. In contrast, soft, less dense tissues often prove to be challenging to image due to their lack of sufficient tissue density. Soft tissues such as muscle, blood vessels and internal organs share similar x-ray attenuation characteristics and are not distinguishable under typical CT settings. In order to introduce density that would improve soft tissue contrast, several contrast agents have been developed for use in clinical and preclinical settings. This application note outlines the use of iodine and nanoparticle-based contrast agents for imaging soft tissues and vasculature in various organs using the Quantum GX to gain further insights into disease and therapeutic response.