Medical imaging is a powerful tool that has revolutionized the way research and development is conducted in the medical field. It is used to monitor patient safety, detect genetic expression patterns, and provide personalized phenotypic results. In addition, medical imaging can be used to evaluate response to treatment, analyze wave images, and generate quantitative images. In clinical research, medical images are often used to record patient progress.
For example, combining 28 imaging features into similar modules can help predict 78% of gene expression profiles. This is because differences in genetic expression patterns are often reflected as differences in the appearance of images. Modality-specific imaging protocols have been designed to address a wide range of clinical problems. The increasing use of biomarkers (imaging) as alternative endpoints for clinical trials is very important.
Kono K, Nakashima S, Kokuryo D et al (201) Multifunctional liposomes with temperature-activated release and magnetic resonance imaging for tumor-specific chemotherapy is an example of this. Molecular imaging and radiopharmaceuticals are particularly important in this context, since they allow the in vivo visualization of the treatment effect. Radiogenomics is another area where medical imaging can be beneficial. This involves providing personalized phenotypic results based on images that complement genomic analysis.
Smits M, Vernooij MW, Wielopolski PA, Vincent AJ, Houston GC, van der Lugt A (200) Incorporating functional magnetic resonance imaging to diffusion tensor tractography in the preoperative evaluation of the corticospinal tract in patients with brain tumors
is an example of this.Now is the time to integrate and translate these findings into clinical trial design and clinical guidelines. Image-guided radiation therapy (IGRT) is also used in some patients. This involves using images immediately before or even during a course of radiation therapy to improve the precision and accuracy of treatment delivery. Intra-tumoral genetic heterogeneity can also be reflected in the heterogeneity of intra-tumoral images, demonstrating an advantage of imaging over tissue analysis. Population imaging is performed in the context of large prospective population-based epidemiological studies. Nanoparticle-based therapeutic and imaging agents are a specific, advanced and promising form of theranostics. Finally, specially developed mathematical algorithms are used to analyze wave images and generate quantitative images that represent the stiffness and other mechanical properties of the fabric.
