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https://www.selleckchem.com/products/fin56.html Deep learning enhancement has the potential to enable a 90% reduction of radiotracer while achieving diagnostic quality images. We aim to investigate a possible relationship between acute pancreatitis (AP) and body fat and muscle parameters in computed tomography (CT). Computed tomography images of 107 patients with AP were scored in terms of AP severity using the modified CT severity index. Muscle mass, muscle mass index, visceral and subcutaneous adipose tissue area, multifidus muscle/fat attenuation ratio, total psoas index (TPI) and Hounsfield units average calculation (HUAC) values were performed. Total psoas index and HUAC of mild AP cases were significantly higher than those with moderate and severe AP. The TPI of patients with severe pancreatic necrosis were found to be significantly lower than those without necrosis. Hounsfield units average calculation of cases without necrosis were significantly higher than those with severe necrosis in the pancreas. Our study indicated that lower volume and density of psoas muscle associated with worse CT severity score and larger pancreatic necrosis in patients with AP. Our study indicated that lower volume and density of psoas muscle associated with worse CT severity score and larger pancreatic necrosis in patients with AP. Several software-based quantitative computed tomography (CT) analysis methods have been developed for assessing emphysema and interstitial lung disease. Although the texture classification method appeared to be more successful than the other methods, the software programs are not commercially available, to our knowledge. Therefore, this study aimed to investigate the usefulness of a commercially available software program for quantitative CT analyses. This prospective cohort study included 80 patients with chronic obstructive pulmonary disease (COPD) or idiopathic pulmonary fibrosis (IPF). The percentage of low attenuation volume and high attenuation v

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